How IoT in Manufacturing is Changing Business Dynamics

ANUSREE BHATTACHARYA | January 08, 2021 | 1034 views

The pandemic is considered a catalyst of change. It has forced many industries worldwide to transform and adapt to various digital solutions. A collection of advanced technologies such as IoT, artificial intelligence, machine learning and more have been widely adopted to support innovation-driven growth strategies. Majority of industry leaders are describing these technologies as industry 4.0 revolution. Entrepreneurs from the manufacturing industry are among them.

Many novel opportunities in the manufacturing industry are flourishing with the addition of IoT. The idea of digital transformation has become a necessity rather than an add-on cost for companies. Having said that, the manufacturing industry is on the cusp of a revolution—the internet of things revolution! According to IDC, in 2020, the manufacturing industry experienced notable growth, with a CAGR of 12.4%, which forecasts by 2025.

The internet of things in manufacturing enabled smart manufacturing, known as Industrial IoT (IIoT). This development introduced transparency of processes, products, assets, resources, connectivity, advanced analytics, automation, and other advanced-manufacturing technologies. The addition, the internet of things in manufacturing gained momentum as it helped companies transform their operations. It benefitted businesses in various aspects such as production efficiency to product customization, improvements in speed to market, service effectiveness, and even in new business model creation.

A recent MPI 2020 Industry 4.0 study revealed that 83% of manufacturing leaders consider “industry 4.0 is extremely important” to their companies, and 56% believe that “Industry 4.0 will have a significant impact” in the next five years.

This blog will give you an overview of IoT as well as how its impact is influencing and transforming the manufacturing industry.


An Overview: The Internet of Things

IoT refers to a network of everyday devices, machines, and other objects equipped with computer chips and sensors. It helps in collecting and transmitting data through the internet. There are several applications of IoT in manufacturing like creating digital solutions, security systems, and communication medium or for upgrading manufacturing processes. These implementations are affecting the overall ecosystem of businesses.

IoT is not a novel technological concept but it is being widely circulated in the manufacturing industry in the current times. It is now a developing trend and an innovative technology, enabling rapid data flow while providing the ability to monitor and manage processes in real time.

What is IoT in manufacturing? IoT in manufacturing refers to the Industrial Internet of Things (IIoT). It includes interconnected sensors, instruments, and devices networked together with computers’ industrial applications, including manufacturing and energy management. Industrial IoT in manufacturing shapes organizations with greater capabilities and connectivity to increase their pace of identifying bottlenecks in processes and manage operations with greater agility.

It has been observed that during the pandemic, the IoT in manufacturing has gained prominence because now the goal is to create a completely automated process and turn it into a smart factory for the years to come.


Top Use Cases of Internet of Things in Manufacturing

Without visibility, there is no accountability. The value of the IoT in manufacturing is rising unprecedentedly after the manufacturing industry faced challenges during the pandemic.The novel applications of IoT in the manufacturing industry offer hope for massive opportunities to enter in the future. The industrial IoT in manufacturing is slowly transferring traditional manufacturing supply chains into dynamic, interconnected systems, helping to change the way products were being made before and ensuring better safety for human operators to a high level.

So, how is IoT used in manufacturing? Here are the top three use cases of IoT trends in manufacturing:
• Remote monitoring and operations
• Predictive maintenance and smart asset management
• Autonomous manufacturing

Other than this, the need of IoT in manufacturing is also processed by wireless connectivity. Today, IoT depends on low power and long-range, as the Narrowband (NB) standard addresses it. Thus, there are now a host of IoT use cases, including smart metering, asset tracking, logistics tracking, machine monitoring, and more.

However, as the comprehensive 5G connectivity is about to enter the technology sphere, there will be a new level of speed, efficiency, and performance, which will help unlock new IoT use cases in the future. A 2020 report from Bloor Research reveals that the future of 5G, edge computing, and IoT are critical enablers for the manufacturing industry.


The Role of the Internet of Things in Manufacturing

The applications of IoT in the manufacturing industry have been there for a long time. However, the pandemic forced many manufacturing units and factories to adopt the emerging IoT trends in manufacturing to revolutionize the mass production of goods and boost other industries' output. The benefits of the IoT in manufacturing are becoming popular by the day. Whether it’s about gathering data from multiple machines or delivering real-time data to the manager of operations, the results of this are enhanced operational performance and reduced workload.

Apart from this, goods are tracked and equipment maintenance is predicted easily. All of these functions, through analysis, help manufacturers to identify factors of failure or malfunction. By knowing about it on time, they can take appropriate actions and measures to overcome them. So, whether it is IoT in car manufacturing, IoT in apparel manufacturing, IoT in automotive manufacturing, or other industries, IoT is booming in every way. Even the companies specialized in making manufacturing machines are following the latest IoT trends in the manufacturing industry.

To get more specific about the impact of IoT in the manufacturing industry, here are the most sought-after roles:
 

Quality Level 4.0

Most manufacturers faced difficulties while maintaining quality consistency, as the pandemic forced them to reduce human interaction at work. This aroused complexities in various manufacturing processes. So, by implementing IoT, companies have easily been able to produce good quality products through multiple applications, latest machines, equipment, and tools. In this way, the IIoT’s impact in the manufacturing industry will indeed enhance the quality level of products to manufacture in the future.

In addition, as IoT has a mass of applications in manufacturing, it is also facilitating the production rate of products. This is one of the major benefits of IoT. It increases production rate by automatically monitoring the development cycles at each stage. In this way, the quality aspect of a product remains under observation throughout the production process.


IoT Enables Power of Prediction

Predictive maintenance is a big thing. One of the significant answers to how IoT is being used in manufacturing is that it improves operating efficiencies. It also ensures that factory equipment and other assets are adequately working, which stays a major priority for manufacturers. Even a small malfunction can lead to substantial delays in production, which could delay or even cancel orders. In these situations, IoT technology helps to overcome these challenges. The deployment of wireless sensors throughout the machines can easily help managers detect issues beforehand and resolve them. This shows the power of prediction it provides.

The emerging IoT systems supported by wireless technologies have sense-warning signs in equipment that sends data to the maintenance staff so they could proactively repair the equipment. This avoids major delays in future production schedules. In addition, manufacturers could also gain other benefits of IoT by getting safer plant environments and increased equipment life. This is how the Internet of Things is becoming crucial for the manufacturing industry, especially after the pandemic, and is creating possibilities for manufacturing companies to gain predictable revenue in future.


Supply Chain Management

Emerging applications of IoT in the manufacturing industry are allowing companies to monitor all the events related to supply chain management. It includes shipments of supplies, tracking of transportation services like shipping containers, logistics data, and more. Data analyzed through devices could also help companies improve logistics by finding problem areas and resolving them in no time. Apart from this, IoT devices also eliminate a big chunk of manual documentation related to operations and others with a novel Enterprise Resource Program (ERP). This new invention of the Internet of Things in manufacturing facilitates cross-channel visibility into managerial, financial, and operation departments.


Remote Production Control

Many manufacturing companies relocated their computational resources to a custom cloud or connected on modern BAAS (backend as a service) or PAAS (platform as a service) platforms. Thanks to the IoT applications that benefitted the manufacturing industry during challenging times in the pandemic. In this case, the data is transmitted to the industrial automation system. In addition, it controls the overall process of machinery as well as production. IoT in steel manufacturing, oil and gas industries, and power generation have already gained benefits from this function of IoT technology. These industries used IoT devices and created a control system distantly. Harley Davidson, Cisco, and GE are some of the finest examples of using IoT in manufacturing. They have set history by reaping the best benefits of the Internet of Things in manufacturing and overcame hurdles bravely during the pandemic. Their IoT-driven manufacturing process achieved a massive production rate in comparison to other industries during the pandemic phase.

Cisco developed a “virtual” manufacturing execution system platform (VMES) through leveraging technologies such as the cloud, big data analytics, and the internet of things to gather real-time information from production machines. In the same vein, Harley Davidson and GE connected every asset on the plant floor and production to IoT devices and tracked performance in real-time. They installed 10,000+ sensors that looked after machine operating data, measured temperature, humidity, and air pressure in real-time without any human interaction.

So, information obtained through distant control systems provides a much clearer and faster insight into the actual production in the field. It assists staff in analyzing all the data and makes all the operational tasks convenient. This makes the IoT technology a core instrument in ensuring safe automated production, monitoring the workers, and helping staff members to maintain a proper workflow of business.

With all that said about IoT’s role in the manufacturing industry, does this mean that the industry is on the edge of leading with IoT? The answer is ‘yes.’ This is proved through some findings that are as follows:

•  76% of manufacturers plan to increase their use of smart devices in manufacturing processes in the next two years.
•  63% of companies have already implemented IoT technologies into their products, especially after the pandemic, and ready to supply manufacturers globally.
•  71% of them believe that IoT will have a significant impact (24%) or impact (47%) on their business over the next five years.

The Right Time to Invest

Manufacturers globally believe in the power of IoT and have developed the confidence of implementing it now. The idea of smart manufacturing with IoT is to use connectivity technologies such as industrial networks, Wi-Fi, M2M, and more to link factory automation assets, such as production equipment, robots, and more. This also extends to take advantage of end-user apps, such as MES, PLM, ERP, and mobile devices for more active and precise business decision-making.

Hence, getting an IoT solution for your manufacturing business is essential, mainly as the pandemic has shifted the paradigm of business operations. To gain IoT’s competitive advantages, considerable investments are necessary for your business to provide your staff with proper working methods. For manufacturers, globally, the IoT’s impact will be seen in every aspect of their business and thus allow them to thrive even in the most difficult of times in the future.


Frequently Asked Questions


How to implement IoT in manufacturing?

There are many factors to be taken into consideration for implementing IoT in manufacturing. However, some of the best are discussed below:

•  Businesses should invest more at an early stage of planning to understand the needs of their end-users
•  Introduce digitally forward tools
•  Identify risk areas of manufacturing
•  Introduce a broad range of technologies including cellular, Wi-Fi, Lora, and Sigfox as advanced communication system

What is IoT in manufacturing?

Industrial IoT (IIoT) in manufacturing adds intelligence to manufacturing equipment, processes, and management. It enables smart manufacturing solutions with the help of connected sensors and devices at the network edge. 


What are the six levels of IoT?

The six levels of IoT are as follows:
•  Device
•  Resource
•  Database
•  Analysis
•  Application
•  Controller service

What are the types of IoT?

The leading types of IoT are:

•  Low Power Wide Area Networks (LPWANs)
•  Cellular
•  Wi-Fi
•  Bluetooth
•  Radio Frequency Identification (RFID)
•  Zigbee.

What are the components of IoT?

The various components of IoT are:

•  Sensors/Devices
•  Connectivity
•  Data
•  Analytics
•  Cloud/server infrastructure
•  Applications

Spotlight

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Harnessing IIoT Power for Device Interconnectivity in Industry 4.0

Article | July 21, 2023

Embracing IIoT & device interconnectivity offers enhanced operational efficiency, predictive maintenance, data-driven insights, improved quality, optimized supply chains, enhanced safety, & security. Contents 1. Introduction to IIoT and Device Interconnectivity in Industry 4.0 2. Advanced Sensing and Data Collection 2.1. Industrial Sensors and IoT-enabled Devices 2.2. Real-time Data Collection and Analysis 2.3. Edge Computing for Faster Decision-Making 3. Connectivity Technologies for Device Interconnectivity 3.1. Wireless Technologies: Wi-Fi, Bluetooth, and Cellular Networks 3.2. Low-Power Wide Area Networks (LPWAN) 3.3. Industrial Ethernet and Fieldbus Protocols 4. Benefits of Efficient Device Interconnectivity 4.1. Enhanced Operational Efficiency 4.2. Real-time Monitoring and Control 4.3. Predictive Maintenance 4.4. Data-driven Insights 4.5. Supply Chain Optimization 5. Embracing IIoT for Device Interconnectivity in Industry 4.0 1. Introduction to IIoT and Device Interconnectivity in Industry 4.0 The Industrial Internet of Things (IIoT) is a network of interconnected devices, sensors, and systems that collect and exchange data in industrial settings. IIoT industry 4.0 enables real-time data monitoring, analysis, and control, leading to improved operational efficiency, reduced costs, and increased productivity in industrial processes. It utilizes technologies such as IoT sensors, embedded systems, cloud computing, big data analytics, and machine learning to facilitate seamless connectivity and data exchange. Device interconnectivity in Industry 4.0 is the integration and communication between different devices, machines, and systems across the industrial value chain. Device interconnectivity enables data sharing and interoperability, facilitating automation, predictive maintenance, optimized resource allocation, and enhanced decision-making in industrial IoT operations. IIoT and device interconnectivity generate vast amounts of data that can be analyzed to gain valuable insights into production processes, supply chains, customer behavior, and market trends. The increased interconnectivity of devices in Industry 4.0 raises concerns about data security and privacy. Robust cybersecurity measures and data protection protocols are necessary to mitigate risks. This creates new business opportunities, including innovative service models, predictive maintenance solutions, remote monitoring, and data-driven decision support systems, with applications in various industries such as smart manufacturing, energy, transportation, agriculture, healthcare, and smart cities. 2. Advanced Sensing and Data Collection 2.1. Industrial Sensors and IoT-enabled Devices Industrial sensors are sophisticated devices that employ cutting-edge technologies to detect and measure various physical parameters in industrial environments. They utilize advanced sensing technologies such as optical, acoustic, thermal, and chemical sensors to capture precise and accurate data. Whereas, IoT-enabled devices, integrated with industrial sensors, leverage the power of connectivity and advanced communication protocols to enable seamless data collection and exchange. These devices have embedded software, wireless connectivity, and data processing capabilities, transforming them into intelligent nodes within the Industrial Internet of Things ecosystem. These empower businesses to capture real-time data at a granular level. This provides organizations to gain comprehensive insights into their assets, processes, and environments' performance, health, and condition. Such data-driven intelligence forms the foundation for advanced analytics, predictive maintenance, and operational optimization. 2.2. Real-time Data Collection and Analysis With integrating IIoT sensors, businesses can collect data in real time from diverse sources within their industrial ecosystem. This includes sensor readings, machine parameters, environmental conditions, production metrics, and supply chain information. This allows businesses to continuously monitor their operations, providing immediate awareness of critical events and performance indicators. By capturing data in real-time, organizations can swiftly identify anomalies, deviations, or opportunities for improvement, for agile decision-making, operational responsiveness, and proactive interventions. Real-time data collected from industrial sensors and IoT-enabled devices can be subjected to advanced analytics and machine learning algorithms. These sophisticated analysis techniques reveal hidden patterns, correlations, and predictive models within the data. The resulting insights enable organizations to uncover optimization opportunities, identify root causes of issues, and develop data-driven strategies for operational excellence. 2.3. Edge Computing for Faster Decision-Making Edge computing is an advanced paradigm that brings data processing, analytics, and decision-making closer to the data source at the network's edge. By decentralizing computational capabilities, edge computing reduces latency, minimizes bandwidth requirements, and enables faster, localized decision-making. It enhances the efficiency and responsiveness of data-driven decision-making in industrial settings. Businesses can achieve near real-time insights and rapid response times by processing and analyzing data locally, at or near the edge IoT devices. This is particularly critical for time-sensitive applications like autonomous systems, predictive maintenance, and adaptive control mechanisms. Edge computing empowers businesses to make faster decisions based on real-time data analysis. Edge computing enables localized processing and immediate responses by reducing the need for data transmission to a centralized cloud or data centers. This allows organizations to take swift actions, optimize processes on the fly, and mitigate risks in real time. 3. Connectivity Technologies for Device Interconnectivity 3.1. Wireless Technologies: Wi-Fi, Bluetooth, and Cellular Networks Wi-Fi, Bluetooth, and cellular networks widely use wireless connectivity technologies that enable device interconnectivity in various industrial settings. Wi-Fi provides high-speed wireless connectivity over short to medium distances. Wi-Fi offers flexibility and compatibility with various devices, making it a popular choice for interconnecting devices within industrial environments. Bluetooth technology is commonly used for short-range wireless connections between devices, for personal area networks (PANs) and device-to-device communication applications. Cellular networks, such as 4G LTE and emerging 5G technology, provide wide-area coverage and reliable connectivity over large distances. They are suitable for IoT applications that require remote monitoring, asset tracking, and connectivity in remote or mobile industrial environments. 3.2. Low-Power Wide Area Networks (LPWAN) LPWAN technologies are designed to provide long-range wireless connectivity while consuming minimal power. These networks are well-suited for applications involving low data rates, long battery life, and cost-effective deployment. NB-IoT (Narrowband IoT) is a cellular-based LPWAN technology that operates on licensed spectrum, providing wide-area coverage with low power consumption, while Long Range Wide Area Network (LoRaWAN ) is a low-power, long-range wireless technology that operates on unlicensed spectrum and enables efficient connectivity for devices spread across large areas, making it suitable for IoT applications such as smart agriculture, logistics, and smart cities. 3.3. Industrial Ethernet and Fieldbus Protocols Industrial Ethernet refers to the use of Ethernet-based communication protocols within industrial environments. It provides high-speed, reliable, and deterministic connectivity for industrial devices, such as programmable logic controllers, human-machine interfaces, and sensors. Industrial Ethernet protocols like Ethernet/IP, PROFINET, and Modbus TCP enable real-time data exchange, control, and monitoring, facilitating efficient device interconnectivity in industrial automation systems. Fieldbus protocols have been widely used in industrial automation for device interconnectivity. It enables data communication between field devices, controllers, and other industrial equipment. These protocols are known for their robustness, determinism, and support for various devices, making them suitable for applications in process control, IIoT manufacturing, and distributed control systems. 4. Benefits of Efficient Device Interconnectivity 4.1. Enhanced Operational Efficiency Efficient device interconnectivity revolutionizes industrial processes by facilitating seamless communication and collaboration among interconnected devices, machines, and systems. This integration optimizes workflows, reduces bottlenecks, and maximizes operational efficiency, ultimately improving productivity and profitability. 4.2. Real-time Monitoring and Control The efficient interconnection of devices gives businesses real-time visibility into their operations. By continuously monitoring and controlling key parameters such as machine performance, energy consumption, and production metrics, organizations can proactively make data-driven decisions to optimize performance, minimize downtime, and ensure optimal resource allocation. 4.3. Predictive Maintenance Efficient device interconnectivity enables the collection and analysis of real-time data from interconnected devices. Businesses can detect patterns and anomalies by leveraging advanced analytics and machine learning algorithms, allowing for predictive maintenance strategies. Proactively addressing maintenance needs and potential equipment failures reduces unplanned downtime, enhances equipment lifespan, and lowers maintenance costs. 4.4. Data-driven Insights Efficient device interconnectivity generates abundant data that holds valuable insights. Organizations can extract actionable insights from the collected data through sophisticated data analytics techniques, including artificial intelligence and big data analytics. These insights empower businesses to optimize processes, uncover hidden patterns, identify market trends, and make informed strategic decisions. 4.5. Supply Chain Optimization Device interconnectivity facilitates seamless data exchange and collaboration across the supply chain. This enables end-to-end visibility, efficient coordination, and streamlined operations. With real-time data on demand, inventory levels, and market demand, businesses can optimize their supply chain processes, minimize lead times, reduce stockouts, and enhance overall supply chain efficiency in IIoT Industry 4.0. 5. Embracing IIoT for Device Interconnectivity in Industry 4.0 In the era of Industry 4.0, businesses are embracing the integration of the IIoT industry 4.0 and device interconnectivity to unlock new levels of efficiency, productivity, and agility. This is made possible through various connectivity technologies, including wireless technologies like Wi-Fi, Bluetooth, and cellular networks, as well as LPWAN and industrial Ethernet and fieldbus protocols. These technologies enable seamless data exchange, real-time monitoring, and intelligent control within the industrial ecosystem. Additionally, embracing IIoT and device interconnectivity offers numerous advantages, such as enhanced operational efficiency, predictive maintenance, data-driven insights, improved product quality, optimized supply chains, enhanced safety, and security. By leveraging these advancements, businesses can drive sustainable growth and gain a competitive edge in the digital age of Industry 4.0.

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The Transforming Landscape: Trends in Industry 4.0

Article | July 19, 2023

Unveil the game-changing trends in Industry 4.0 & redefine business operations. Stay ahead with current industry trends of the evolving digitalization and analyze the market trends’ insights. Contents 1. Introduction 2. How do the Trends in Industry 4.0 Benefit Businesses? 3. Factors Causing the Emergence of Industry 4.0 3.1. Technological Advancements 3.2. Increasing Digitalization 3.3. Changing Market Demands 3.4. Globalization and Competitive Pressures 3.5. Need for Operational Efficiency 3.6. Sustainability and Environmental Concerns 3.7. Workforce Challenges 4. Top Trends in Industry 4.0 4.1. Green Technology 4.2. Digitalization of Data 4.3. Predictive Analytics 4.4. Optimal Energy Usage 4.5. 3D Printing 4.6. Smart Manufacturing 4.7. Next-Gen Manufacturing ERP 4.8. Supply Chain Disruption 4.9. Extreme Automation capabilities 4.10. Increased Visibility 5. Final Thoughts 1. Introduction Industry 4.0, the fourth industrial revolution, has brought about transformative changes across sectors, revolutionizing the way businesses operate and interact with technology. As we navigate this rapidly evolving landscape, staying informed about the latest trends shaping Industry 4.0 is essential. From artificial intelligence and robotics to blockchain and edge computing, these trends redefine processes, drive innovation, and create new opportunities for organizations. In this article, explore 10 key current industry trends in Industry 4.0 and their implications for businesses in this transforming landscape. 2. How do the Trends in Industry 4.0 Benefit Businesses? The trends in Industry 4.0 offer numerous benefits for businesses across various aspects of operations. Firstly, integrating automation, IoT, and data analytics drives increased efficiency and productivity. By streamlining processes and minimizing downtime, businesses can achieve higher productivity levels and faster time-to-market, ultimately reducing costs. Additionally, the availability of real-time data and advanced analytics enables businesses to make informed decisions, optimize resource allocation, and respond swiftly to market changes. Secondly, Industry 4.0 enhances flexibility and customization capabilities. With the ability to reconfigure production lines, adjust processes in real-time, and offer personalized products or services, businesses can meet customers' evolving demands and gain a competitive edge. Moreover, predictive maintenance facilitated by IoT sensors and data analytics enables companies to proactively monitor equipment health, reduce unplanned downtime, and optimize maintenance costs, improving operational efficiency and extending asset lifespan. Lastly, the trends in Industry 4.0 contribute to enhanced customer experience and sustainability goals. Businesses can improve customer satisfaction, loyalty, and retention by leveraging customer data and implementing personalized offerings, targeted marketing campaigns, and better customer support. Additionally, Industry 4.0 technologies enable companies to optimize energy consumption, reduce waste, and enhance resource efficiency, aligning with sustainability initiatives and bolstering brand reputation. 3. Factors Causing the Emergence of Industry 4.0 The factors causing the emergence of Industry 4.0 can be attributed to several key drivers: 3.1.Technological Advancements Rapid advancements in technologies such as the Internet of Things, artificial intelligence, cloud computing, big data analytics, and robotics have provided the foundation for Industry 4.0. These technologies have become more accessible, affordable, and capable, enabling widespread adoption in the industrial sector. 3.2.Increasing Digitalization Digitalizing processes, systems, and data has been a significant driver of Industry 4.0. As businesses realize the value of digitizing their operations, there is a growing demand for technologies that can seamlessly integrate and process vast amounts of data for improved decision-making and efficiency. 3.3.Changing Market Demands Evolving customer expectations, such as personalized products, shorter lead times, and flexible production, have pushed businesses to adopt Industry 4.0 technologies. Companies are embracing automation, connectivity, and data-driven approaches to remain competitive and meet these demands to enhance their agility and responsiveness. 3.4.Globalization and Competitive Pressures In an increasingly interconnected global economy, businesses face intense competition and the need to optimize their operations. Industry 4.0 offers opportunities for businesses to improve productivity, reduce costs, and gain a competitive edge by leveraging advanced technologies and data-driven insights. 3.5. Need for Operational Efficiency With rising production costs and the need to optimize resource utilization, businesses are turning to Industry 4.0 to enhance operational efficiency. Automation, predictive maintenance, and real-time monitoring enable enterprises to streamline processes, minimize downtime, and achieve higher productivity. 3.6. Sustainability and Environmental Concerns Industry 4.0 technologies allow businesses to adopt more sustainable practices. Companies can align with environmental goals and meet regulatory requirements by optimizing energy consumption, reducing waste, and improving resource efficiency. 3.7.Workforce Challenges The changing nature of work and the need to address labor shortages and skill gaps have also contributed to adopting Industry 4.0 technologies. Automation and robotics can augment human capabilities, improve workplace safety, and free up workers for more value-added tasks. 4. Top Trends in Industry 4.0 4.1. Green Technology Green technology is a prominent trend in Industry 4.0 manufacturing, aiming to incorporate sustainable practices and environmentally friendly solutions. This trend involves adopting renewable energy sources, such as solar and wind power, to reduce reliance on fossil fuels. Manufacturers also focus on energy efficiency using advanced monitoring systems and IoT devices to optimize energy consumption. Additionally, the concept of a circular economy is gaining momentum, encouraging waste reduction, resource utilization, and recycling. Manufacturers are developing eco-friendly materials and processes while collaborating with sustainability organizations to drive innovation in green technology. By integrating green technology, manufacturers can reduce their environmental footprint, comply with regulations, and meet consumer demands for sustainable products. Green technology is transforming the manufacturing sector in Industry 4.0, promoting sustainable practices and environmental consciousness. Manufacturers are embracing renewable energy, optimizing energy efficiency, and adopting circular economy principles. Developing eco-friendly materials and collaborations with sustainability organizations are also key aspects of this trend. By incorporating green technology into their operations, manufacturers can achieve ecological and economic benefits, positioning themselves as leaders in a greener and more sustainable future. 4.2. Digitalization of Data Digitalizing of manufacturing operations of data is a prominent trend in Industry 4.0 manufacturing, where companies are leveraging advanced technologies to transform data collection, industry trends analysis, and utilization. Manufacturers capture real-time data on various aspects of their operations by integrating IoT devices and sensors. This digital data provides valuable insights into machine performance, energy consumption, and product quality, allowing manufacturers to identify bottlenecks, optimize workflows, and enhance productivity. Digitalizing data enables manufacturers to employ advanced analytics and machine learning algorithms to uncover patterns and trends, enabling predictive maintenance, process optimization, and cost savings. An essential component of digitalizing data is the concept of digital twins. Manufacturers are creating virtual replicas of their physical products or production lines continuously updated with real-time data. This digital representation also enables remote monitoring and control, facilitating proactive maintenance and reducing downtime. By embracing the digitalization of data, manufacturers can unlock new levels of efficiency, productivity, and innovation, driving their success in the Industry 4.0 era. 4.3. Predictive Analytics Predictive analytics is a prominent trend within Industry 4.0 manufacturing, revolutionizing the way companies make decisions and optimize their operations. By leveraging advanced analytics techniques and machine learning algorithms, manufacturers can analyze vast amounts of data to forecast future outcomes and make proactive decisions. One key aspect of this trend is the application of predictive maintenance. Manufacturers can identify patterns and anomalies that indicate potential equipment failures by collecting and analyzing real-time data from sensors embedded in machinery. Predictive analytics allows manufacturers to optimize their production processes. Manufacturers can optimize parameters such as machine settings, material usage, and workflow sequences to achieve optimal production outcomes. Another crucial aspect of predictive analytics in Industry 4.0 manufacturing is demand forecasting. By analyzing historical data, machine learning algorithms can identify patterns and correlations that improve process efficiency, reduce waste, and enhance product quality. 4.4. Optimal Energy Usage Optimal energy usage is a significant trend within Industry 4.0 manufacturing, where companies are increasingly focused on optimizing energy consumption to enhance sustainability, reduce costs, and improve operational efficiency. Manufacturers aim to achieve optimal energy usage through advanced technologies and data-driven approaches throughout their production processes. One key aspect of this trend is the integration of smart sensors and Internet of Things devices to monitor energy usage in real-time. These devices collect data on energy consumption at various stages of production, allowing manufacturers to identify energy-intensive areas and potential inefficiencies. Machine learning algorithms can identify patterns and correlations between energy usage and other process variables, facilitating the development of energy-efficient strategies and optimizing production parameters. Moreover, integrating renewable energy sources is another crucial aspect of optimal energy usage in Industry 4.0 manufacturing. Companies can mitigate their carbon footprint and achieve long-term cost savings by reducing reliance on traditional fossil fuel-based energy sources. Integration with renewable energy sources also provides energy storage and demand response systems opportunities, further optimizing energy usage and supporting grid stability. 4.5. 3D Printing 3D printing is a significant trend within Industry 4.0 manufacturing, transforming how products are designed, prototyped, and manufactured. Also known as additive manufacturing, 3D printing allows companies to create three-dimensional objects by layering materials based on digital models. This trend offers numerous benefits, including faster production cycles, increased design flexibility, and cost-effective customization. One key aspect of the 3D printing trend is its ability to accelerate product development and prototyping. Manufacturers can convert digital designs into physical prototypes, allowing for rapid iterations and design improvements. Traditional manufacturing methods often impose limitations on design due to the constraints of molds, tooling, and assembly processes. 3D printing contributes to sustainability in manufacturing. It minimizes material waste by only using the necessary amount of materials, reducing energy consumption compared to traditional manufacturing methods. The ability to print components on-site or locally also lowers transportation costs and associated carbon emissions. Additionally, using recycled or bio-based materials in 3D printing further enhances its eco-friendly potential. 4.6. Smart Manufacturing Smart manufacturing is a prominent trend within Industry 4.0, revolutionizing the manufacturing sector by integrating advanced technologies to create more efficient, agile, and connected production systems. Smart manufacturing involves using Internet of Things devices, automation, artificial intelligence, and data analytics to optimize operations, enhance productivity, and drive innovation. One key aspect of smart manufacturing is the implementation of IoT devices and sensors throughout the production process. These devices collect real-time data on parameters such as machine performance, energy usage, and product quality. Smart manufacturing leverages automation and AI technologies to streamline production and improve efficiency. By automating repetitive tasks and integrating intelligent algorithms, manufacturers can optimize workflows, reduce human error, and achieve higher productivity levels. Moreover, smart manufacturing relies on data analytics and connectivity to enable seamless collaboration across the manufacturing ecosystem. Manufacturers can share real-time data with suppliers, partners, and customers, facilitating efficient supply chain management and enhanced coordination. 4.7. Next-Gen Manufacturing ERP Next-Generation Manufacturing ERP (Enterprise Resource Planning) systems are a significant trend within Industry 4.0 manufacturing, transforming the way companies manage their operations and resources. These advanced ERP systems incorporate cutting-edge technologies, such as cloud computing, artificial intelligence, and data analytics, to provide manufacturers with real-time visibility, enhanced decision-making capabilities, and seamless integration across the entire value chain. One key aspect of this trend is the adoption of cloud-based ERP solutions. By moving their ERP systems to the cloud, manufacturers can benefit from scalable and flexible infrastructure, reduced IT costs, and improved accessibility. Cloud-based ERP systems enable real-time data sharing and collaboration across departments, locations, and even with external partners. This fosters seamless integration of supply chain management, production planning, inventory control, and customer relationship management, enabling companies to make informed decisions, respond quickly to market changes, and optimize resource allocation. The next-gen Manufacturing ERP systems leverage artificial intelligence and data analytics to provide advanced insights and automation capabilities. 4.8. Supply Chain Disruption Supply chain disruption and the role of ERP (Enterprise Resource Planning) systems are significant trends within Industry 4.0 manufacturing. With the increasing complexity and globalization of supply chains, manufacturers face challenges such as natural disasters, geopolitical factors, and unexpected disruptions. In response, integrating ERP systems with supply chain management aims to enhance visibility, agility, and resilience in the face of disruptions. A vital aspect of this trend is using ERP systems to improve supply chain visibility. Manufacturers can quickly identify potential disruptions, assess their impact, and take necessary actions to minimize the effect on production and customer satisfaction. The ERP systems are increasingly equipped with advanced analytics capabilities to analyze supply chain data. Manufacturers can identify patterns, trends, and potential risks by leveraging AI and machine learning algorithms. Blockchain technology enables secure and transparent tracking of goods, ensuring traceability and reducing the risk of counterfeit products. These technologies, integrated with ERP systems, enhance supply chain visibility, accuracy, and trustworthiness. 4.9. Extreme Automation capabilities Extreme automation, also known as hyper-automation, is a prominent trend within Industry 4.0 manufacturing. This trend aims to maximize automation capabilities by pushing towards the hypothetical limit of 100% autonomy on the production floor, where operators and machines run fully automated processes. Manufacturers can achieve higher productivity and faster time-to-market by eliminating production delays and streamlining processes. Automation reduces errors and rework, improving product quality and customer satisfaction. Moreover, extreme automation frees the existing workforce from repetitive and mundane tasks, allowing employees to focus on higher-value activities and increasing overall throughput. According to data from Plataine's customer base, incorporating extreme automation in manufacturing significantly impacts cost reduction and production increase. Industrialization leads to lower operating costs by reducing labor requirements and minimizing errors that could result in waste. Additionally, by streamlining processes and optimizing resource allocation, extreme automation enables manufacturers to achieve higher production volumes and meet increasing market demands efficiently. 4.10. Increased Visibility Increased visibility capabilities are a significant trend within Industry 4.0 manufacturing, enabled by technologies like the Industrial Internet of Things. In the past, more visibility could have helped organizations comprehensively understand their operations, including the whereabouts of assets and the movement of resources. However, with the adoption of IIoT, manufacturers now have unprecedented visibility over their entire operations, providing real-time data and a 360-degree view of their organization. This heightened visibility empowers operational managers to monitor production processes in real time, identify manufacturing errors, and evaluate machine performance. With consolidated data reports, operational managers can make informed decisions to resolve issues causing delays and optimize production efficiency. By leveraging increased visibility, organizations can proactively address issues, minimize downtime, and stay ahead of the competition. The availability of real-time data and operational insights allows manufacturers to make agile and informed decisions, leading to improved productivity and customer satisfaction. 5. Final Thoughts The landscape of Industry 4.0 is undergoing a profound transformation, driven by emerging trends reshaping industries and revolutionizing business operations. The industry 4.0 trends 2023, discussed in this article, from artificial intelligence and robotics to blockchain and edge computing, are set to redefine the way organizations operate, innovate, and compete in the digital age. By embracing these trends, businesses can unlock new opportunities, enhance operational efficiency, and deliver better experiences to customers. As we move forward, staying abreast of these trends and proactively adopting them will be crucial for organizations to remain competitive and thrive in the ever-changing landscape of Industry 4.0. By leveraging the transformative power of these trends, organizations can position themselves at the forefront of innovation and create a sustainable advantage in this era of unprecedented technological advancement.

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Innovation, Industrial 4.0

Optimize Value Chain: Embrace Collaborative Platforms in Industry 4.0

Article | July 17, 2023

The curated list of platforms and industry 4.0 tools above, delves into simplification and enhancing of digitalized manufacturing processes. These value chain tools enhance the user experience. The advent of Industry 4.0 has revolutionized the way businesses operate, with technologies such as IoT, AI, and automation driving digital transformation across the entire value chain. In this dynamic landscape, collaborative platforms have emerged as powerful tools that enable organizations to optimize their value chain, fostering seamless collaboration and integration among stakeholders. In this article, know the significance of collaborative industry 4.0 software and the benefits they offer in optimizing the value chain. 1. PARCview PARCview is a powerful real-time manufacturing analytics software that empowers data-driven decision-making in manufacturing environment. It is a central hub for aggregating data from various sources such as machines, ERP, MES, and quality systems, providing valuable insights for continuous improvement. With flexible integration capabilities, it supports connectivity via multiple protocols. PARCview enables operators, engineers, and subject matter experts to troubleshoot process issues, visualize historical and real-time data, diagnose equipment problems, and predict process issues for proactive action. Its high-performance archive engine allows for fast retrieval of short-term and long-term data, ensuring efficient troubleshooting. The software also offers customizable dashboards and displays to monitor real-time equipment status and production KPIs. PARCview's Asset Hub also enables users to add context to raw data by creating digital assets and organizing tags by asset, facilitating quick information retrieval and resource comparison. 2. aPriori Digital Manufacturing Simulation Software One of the value chain tools, Digital Factories by aPriori enable manufacturers to identify and overcome obstacles in their production processes, ensuring smooth operations and avoiding delays. This software provides manufacturability analysis and directional costing, incentivizing design teams and engineers to incorporate manufacturing considerations early on, reducing engineering change orders and enabling timely product launches. With digital factories, sourcing teams can compare manufacturing environments based on various criteria, evaluate fully burdened manufacturing costs, and make informed site selection decisions. By leveraging extensive libraries of materials, machines, labor, and overhead costs, digital factories offer comprehensive simulations, process cycle time calculations, and manufacturability analysis, empowering companies to optimize their manufacturing practices. 3. Factbird Factbird is a revolutionary manufacturing intelligence solution simplifies data gathering and analysis for all manufacturers. With its comprehensive cloud-based application and edge devices, sensors, and cameras, Factbird streamlines data collection and converts it into actionable insights. Key features include built-in OEE calculations, production monitoring, video capture, historical data analytics, process and quality performance management, maintenance support, and utility consumption tracking. Factbird stands out from competitors' non-intrusive integration, rapid installation, real-time data access, scalability, and advanced data security. It offers pricing plans for different levels of functionality. Factbird empowers businesses to enhance their operations with data-driven insights, ensuring competitiveness in the Industry 4.0 landscape. 4. Fishbowl Fishbowl is one among industrial revolution tools, manufacturing software designed for growing apparel companies that need a complete solution integrating all aspects of their business. It offers full-featured on-premise or cloud-based options. Fishbowl seamlessly integrates with QuickBooks, providing secure and cost-effective inventory management to manufacturers. It is known for its user-friendly interface, ease of use, and excellent customer service through value chain optimization techniques. With Fishbowl, businesses can streamline their production processes, manage inventory efficiently, and benefit from robust integration capabilities. 5. FactoryLogix FactoryLogix: Digital Manufacturing Engineering is a powerful solution that enables faster time-to-market by providing greater flexibility, control, and simplicity in production design. With this software, manufacturers can quickly transform CAD and bills of materials into interactive visual work instructions, process routes, inspection plans, and more. The features and benefits of FactoryLogix include accelerating and simplifying production launches, driving new business opportunities, standardizing and automating best practices, improving customer value and satisfaction, avoiding unexpected costs, eliminating manual errors and waste, as well as consistently meeting product launch dates. 6. MachineMetrics One of the industrial revolution tools, MachineMetrics is an industrial IoT platform explicitly designed for manufacturing businesses. It offers universal machine connectivity, cloud data infrastructure, and communication workflows to optimize machine operation. With the ability to connect machines both in the cloud and at the edge, MachineMetrics enables manufacturers to digitize their legacy processes and enhance profitability. Numerous manufacturers have adopted the platform worldwide, with thousands of machines already connected. By delivering timely and relevant information, MachineMetrics helps improve machine performance, productivity, and capacity utilization. Ultimately, it empowers manufacturers to stay competitive and win more business in the global market. 7. Siemens Opcenter Siemens Opcenter is a comprehensive Manufacturing Operations Management (MOM) solution that facilitates the digitalization of manufacturing operations. By offering end-to-end visibility into production, Opcenter empowers decision-makers to identify areas for improvement in product design and manufacturing processes. This enables operational adjustments for smoother and more efficient production. Opcenter encompasses various modules, including Opcenter APS for production planning and scheduling, Opcenter Intelligence for data aggregation and analysis, and Opcenter Execution Discrete for shop floor visibility. With Opcenter, businesses can achieve improved efficiency, reduced time-to-market, enhanced quality management, better planning, and flexible integration capabilities. It supports the realization of innovation in the digital enterprise. Wrap Up The industry 4.0 software and industry 4.0 tools listed above allows seamless collaboration and integration among stakeholders, leading to enhanced operational efficiency, accelerated innovation, and improved customer experiences. By embracing collaborative platforms, businesses can unlock the full potential of Industry 4.0, creating agile, interconnected ecosystems that drive growth and competitive advantage. As the Industry 4.0 revolution unfolds, organizations that proactively adopt and leverage collaborative platforms will be well-positioned to thrive in this era of unprecedented connectivity and digital transformation.

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Industrial 4.0

Addressing Industry 4.0 Challenges for Connected Future in Smart Cities

Article | July 14, 2023

Navigating the challenges of Industry 4.0: Strategies for building connected smart cities that prioritize cybersecurity, scalability and data privacy in the pursuit of a sustainable urban future. Contents 1. Introduction 2. Overcoming Challenges Faced in Smart Cities 2.1 System Reliability and Downtime 2.2 Integration Issues in Legacy Systems 2.3 Complex Data Analytics and Real-Time Insights 2.4 Digital Divide and Accessibility 2.5 Vendor Lock-In and Interoperability Standards 2.6 Resistance to Change 2.7 Increased Cost and poor ROI 3. Final Thoughts 1. Introduction Smart cities are urban areas that utilize advanced technologies and data-driven solutions to improve efficiency, sustainability, and quality of life. These cities integrate various aspects of the manufacturing industry into their infrastructure and operations to drive innovation and optimize resource utilization. Data analytics and AI play a vital role in smart cities. Manufacturers gain valuable insights from the vast amount of data generated within the manufacturing sector by harnessing big data analytics and AI technologies. This enables them to optimize production processes, predict maintenance needs, identify patterns, and make data-driven decisions to improve efficiency and quality. Connectivity and communication infrastructure are crucial in smart cities. These cities establish robust network and communication systems to facilitate seamless data transfer and real-time collaboration across the manufacturing ecosystem, providing benefits of industry 4.0. This supports efficient supply chain management, remote monitoring, and the integration of manufacturing processes. Sustainable manufacturing practices are also prioritized in smart cities. They incorporate energy-efficient technologies, waste reduction measures, recycling programs, and renewable energy sources. Collaboration is emphasized in the smart city manufacturing ecosystem. Various stakeholders, including manufacturers, suppliers, researchers, and policymakers, work together to foster knowledge sharing, innovation, and the development of industry standards. As the concept of Industry 4.0 continues to shape the future, smart cities are emerging as powerful entities that leverage technology to enhance urban living. However, with the integration of various interconnected systems and devices, challenges of smart cities are a concern. This article will explore the industry 4.0 challenges & solutions and discuss strategies to address these challenges for a sustainable and efficient urban future. 2. Overcoming Challenges Faced in Smart Cities 2.1 System Reliability and Downtime One among industry 4.0 challenges, system reliability and downtime are critical concerns in the realm of smart manufacturing. As manufacturing operations become increasingly interconnected, they become more susceptible to system failures and production interruptions. Ensuring high system reliability is paramount, requiring meticulous planning, rigorous testing, and continuous monitoring. Robust backup and recovery mechanisms are essential to mitigate the impact of disruptions and swiftly restore operations. Implementing redundant systems, backup power sources, and data backup strategies are key components of a comprehensive reliability strategy. Minimizing downtime and swiftly addressing system failures is crucial for maintaining productivity and meeting customer demands in a competitive business environment. 2.2 Integration Issues in Legacy Systems Integrating legacy systems with modern smart manufacturing solutions poses a significant challenge for many manufacturing facilities. Legacy systems often lack compatibility with the latest technologies, making seamless integration complex and time-consuming. Overcoming this challenge requires careful planning, identifying suitable integration approaches, and allocating resources for necessary upgrades or replacements. The process involves mapping data flows, establishing interfaces, and ensuring smooth communication between the legacy systems and new smart manufacturing components. It may also involve retrofitting or implementing middleware solutions to bridge the technology gap. Successful integration of legacy systems enables the leveraging of existing infrastructure and maximizes the benefits of smart manufacturing in a cost-effective manner. 2.3 Complex Data Analytics and Real-Time Insights One of the challenges of smart cities, extracting valuable insights from the vast data connected manufacturing systems generates presents a significant challenge. Data's sheer volume and complexity make it difficult to identify meaningful patterns and extract actionable insights. To address this, businesses must implement advanced data analytics tools and algorithms capable of processing and analyzing data in real-time. These tools enable manufacturers to gain real-time visibility into their operations, optimize production processes, enhance product quality, and make informed decisions. By harnessing the power of data analytics, manufacturers can uncover hidden opportunities for improvement, increase operational efficiency, and gain a competitive edge in the market. 2.4 Digital Divide and Accessibility The transition to a connected future in manufacturing brings the risk of exacerbating the digital divide, particularly in regions or industries with limited access to technology or adequate infrastructure. This challenge requires ensuring equitable access to smart manufacturing technologies, bridging the gap between those with advanced connectivity and those lacking access. Promoting initiatives providing affordable technology solutions, fostering public-private partnerships, and advocating for infrastructure development are crucial. By addressing the digital divide, businesses can encourage inclusivity, empower underserved communities, and unlock the economic potential of all stakeholders in the manufacturing sector. Closing the gap will lead to a more balanced and sustainable, connected future. 2.5 Vendor Lock-In and Interoperability Standards The risk of vendor lock-in is a significant concern when adopting smart manufacturing technologies. It occurs when manufacturers rely heavily on a specific technology provider's ecosystem, limiting flexibility and options. It is essential to prioritize interoperability between different vendors' systems to mitigate this risk. By establishing industry-wide standards and protocols, manufacturers can ensure that their systems can seamlessly communicate and integrate with technologies from multiple vendors. This fosters healthy competition and prevents monopolistic control, enabling manufacturers to choose the best solutions for their specific needs. Emphasizing interoperability and avoiding vendor lock-in promotes flexibility, innovation, and the ability to adapt to changing market dynamics in the connected future of manufacturing. 2.6 Resistance to Change Among the industry 4.0 challenges, is implementing new technologies and processes in manufacturing often encounters resistance from employees, management, and other stakeholders. Overcoming this resistance is a critical challenge that requires effective change management strategies. It involves fostering a culture of innovation and creating a compelling case for the benefits of connected manufacturing. Transparent communication, stakeholder engagement, and addressing concerns through training and support are essential. Providing clear goals, and demonstrating the positive impact on productivity, efficiency, and job satisfaction can help alleviate resistance. By involving employees in the transition, recognizing their contributions, and highlighting the long-term advantages, organizations can create a positive environment that embraces change and maximizes the potential of a connected future in manufacturing. 2.7 Increased Cost and poor ROI Implementing connected manufacturing systems entails substantial initial costs, posing a challenge regarding cost considerations and return on investment (ROI). While these systems offer significant benefits, such as improved productivity and efficiency, organizations must carefully assess and justify the expenses. Ensuring a positive ROI requires comprehensive planning, accurate cost estimation, and effective resource allocation. It involves identifying areas where connected technologies can deliver tangible value and aligning investments with strategic objectives. Balancing cost concerns with long-term advantages is crucial, as organizations must make informed decisions that maximize ROI while fostering innovation and competitiveness. Businesses can navigate this challenge and achieve sustainable growth through connected manufacturing by conducting thorough cost-benefit analyses and leveraging available financial models. 3. Final Thoughts As smart cities embrace the possibilities of Industry 4.0, it is crucial to address the challenges of creating a connected urban environment. By focusing on collaboration among stakeholders, implementing robust cybersecurity measures, fostering data privacy, ensuring infrastructure scalability, and empowering citizens through digital inclusion, smart cities can overcome the challenges of Industry 4.0 and build a sustainable, efficient, inclusive, connected future. By actively addressing these challenges, smart cities can leverage the transformative power of technology to create a thriving urban ecosystem that benefits residents and contributes to a better quality of life. Industry 4.0 presents unique challenges and opportunities for developing connected smart cities. By proactively addressing these challenges through collaborative efforts, cybersecurity measures, data privacy considerations, infrastructure scalability, and digital inclusion, smart cities can pave the way for a connected future that embraces the benefits of technology while ensuring the well-being and satisfaction of its residents.

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Spotlight

Guhring, Inc.

Guhring is a world-class manufacturer of round shank cutting tools for the metalworking industry; also a provider of top-quality coating, reconditioning and tool management services. More than a century of expertise in cutting tool manufacturing, combined with powerful R&D resources, place Guhring at the forefront of technical innovations in cutting tools.

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Telit Cinterion and Nestlé Brazil Partner on Private 5G for Industry 4.0 Factory Automation

PR Newswire | August 24, 2023

Telit Cinterion, a global enabler of the intelligent edge, today announced completion of a successful proof-of-concept trial of private 5G for factory automation. Conducted in partnership with Nestlé Brazil, the trial showcases why and how manufacturers are increasingly making 5G a foundational component of their Industry 4.0 transformation strategies. Many manufacturers are considering or already implementing 5G, including private 5G networks, a global trend that will be worth $109 billion by 2030. Nestlé conducted the trial at Parque Tecnologico São José dos Campos, a government-sponsored research park where it is one of the resident companies exploring next-generation technologies and business processes. The trial focused on how Nestlé could use 5G to connect autonomous manufacturing robots and automated guided vehicles at their plants like the one in Caçapava, Brazil. The trial used the Telit Cinterion 5G FT980-WW evaluation kit, which features the FN980 module. Based on the 3GPP Rel. 15 standard, the FN980m supports all major 5G frequency bands, giving private networks maximum deployment flexibility. The Nestlé trial focused on the use of sub-6 GHz spectrum. "Telit Cinterion has been a partner of Nestlé since we began conducting the first tests using 5G technology at Nestlé's Innovation and Technology Center (CIT) at the São José dos Campos Technology Park. We are very pleased with this unprecedented joint work, which is so important for the national industry," explained Gustavo Moura, Digital Transformation Program Manager for Operations at Nestlé Brazil. "Nestlé Brazil is one of several recent Latin America 5G factory automation trials that Telit Cinterion has been part of, which shows that manufacturers across the region see 5G as key for ensuring the success of their Industry 4.0 migration," said Neset Yalcinkaya, SVP Sales Americas at Telit Cinterion. "This successful trial also is the latest example of how manufacturers, systems integrators, and others turn to Telit Cinterion for private 5G factory automation and PoC trials." About Telit Cinterion Telit Cinterion is a global enabler of the intelligent edge providing complete solutions that reduce time to market and costs, delivering custom designed, ready for market connected devices in addition to maintaining the industry's broadest portfolio of enterprise-grade wireless communication and positioning modules, cellular MVNO connectivity plans and management services, edge-cloud software and data orchestration, and IoT and Industrial IoT platforms. As the largest western provider pioneering IoT innovation, Telit Cinterion delivers award-winning and highly secure IoT solutions, modules and services for the industry's top brands.

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Advantech and Altizon Partnership Accelerates Industry 4.0 Transformation for Sustainable, Efficient Digital Factory Operations

prnewswire | April 28, 2023

Advantech, a leading provider of industrial Internet of Things (IoT) hardware and automation technology, and Altizon, a global software provider of Industrial IoT platform, Datonis Digital Factory, are proud to announce the launch of their joint solution designed for ease of transformation to a smart factory. The solution bundle includes specially selected Advantech edge hardware and Altizon's Datonis Digital Factory platform, pre-validated and pre-installed to ensure smooth deployment. Altizon's platform provides a ready-made suite of applications that digitize critical operational functions, such as production, maintenance, quality, energy and sustainability. Additional key features are as follows: Secure data exchanges in real time Edge device management from the cloud Out-of-the box apps with rapid configuration capabilities Standard set of reports and dashboards to accelerate business value realization Data analysis at scale "Altizon is excited to partner with Advantech for accelerating the growth of our Digital Factory applications and solutions," said Vinay Nathan, CEO, Altizon. "By offering out-of-the-box connectivity to Altizon's Digital Factory suite with Advantech's IIoT hardware, we see customers benefiting from a one-stop solution that is seamless to deploy and yields rapid ROI (Return on Investment)." The bundle includes the following Advantech intelligent hardware device UNO-2271G-V2 Intel-based Edge IoT Gateway ADAM-6717 Linux Intelligent I/O Gateway WISE-S100 Stack Light Monitoring Sensor "The partnership between Advantech and Altizon brings great value to our systems integrators and end-user customers by solving common pain points on the factory floor with simplified digital transformation," said Carolyn Swan, director of partnerships, Advantech North America IIoT Group. "Manufacturing systems integrators can help transition factories with less headache by deploying our bundle solution. End-user customers can be up and running within four to six weeks and enjoy higher productivity, real-time edge intelligent analytics, lower operational costs and faster time to market." About Altizon Altizon, a global industrial IoT company, powers digital revolutions by helping enterprises leverage machine data to drive business decisions. Altizon’s Datonis Manufacturing Suite applies advanced analytics and machine learning algorithms to accelerate smart manufacturing initiatives, modernize asset performance management and pioneer new business models for service delivery. Learn more at www.altizon.com.

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Redwire Wins NASA Contract to Advance New In-Space Manufacturing Capability for Journeys to Moon, Mars and Beyond

businesswire | March 27, 2023

Redwire Corporation, a leader in space infrastructure for the next generation space economy, has been awarded a $5.9 million contract from NASA to complete the design of FabLab, a new in-space manufacturing system. FabLab is expected to be tested onboard the International Space Station (ISS) and serve as a precursor for Artemis missions to the Moon and Mars. The multi-material 3D printer will allow NASA crews in deep space to manufacture tools and components on demand using materials such as metal, plastic, ceramics and electronics, enabling a sustainable human presence on and around the Moon, Mars, and beyond. “FabLab is a solution for some of the key logistics challenges with sustained human deep space exploration aboard the Lunar Gateway and on the Moon and Mars,” said Redwire Executive Vice President John Vellinger. “Astronauts won’t need to pack their spacecraft with every tool or part they may need millions of miles from Earth. Make it, don’t take it.” In 2017, Redwire was selected to prototype FabLab through NASA’s Next Space Technologies for Exploration Partnerships program. This latest contract will see the FabLab design fully matured to spaceflight-ready status. An anticipated follow-on contract will support the construction of a FabLab unit and its test aboard the ISS in low-Earth orbit (LEO). Testing FabLab on the ISS will be an important step toward building versions for use at destinations beyond LEO, such as NASA’s Gateway. With FabLab technology, crews on the Moon, Mars, and in deep space will be able to manufacture critical assets, such as tools, replacement parts, and printed circuit boards on demand. “Having an integrated capability for on-demand manufacturing and repair of components and systems during space missions will be integral for sustainable exploration missions,” said Jim Reuter, associate administrator for NASA Space Technology Mission Directorate programs. “This is a rapidly-evolving, disruptive area in which NASA wants to continue working with industry and academia to develop these technologies through collaborative mechanisms such as this one.” FabLab leverages Redwire’s leadership in in-space manufacturing. Redwire’s Additive Manufacturing Facility (AMF), the first permanent commercial manufacturing platform to operate in LEO, has manufactured over 200 tools, parts, and assets onboard the ISS. AMF’s versatility and durability have made it a reliable resource for government and commercial customers since its activation in 2016. Building on this expertise, Redwire is continuing to develop new capabilities that will leverage in-space manufacturing for unprecedented applications to meet future space exploration goals. About Redwire Redwire Corporationis a leader in space infrastructure for the next generation space economy, with valuable IP for solar power generation and in-space 3D printing and manufacturing. With decades of flight heritage combined with the agile and innovative culture of a commercial space platform, Redwire is uniquely positioned to assist its customers in solving the complex challenges of future space missions.

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Industrial 4.0

Telit Cinterion and Nestlé Brazil Partner on Private 5G for Industry 4.0 Factory Automation

PR Newswire | August 24, 2023

Telit Cinterion, a global enabler of the intelligent edge, today announced completion of a successful proof-of-concept trial of private 5G for factory automation. Conducted in partnership with Nestlé Brazil, the trial showcases why and how manufacturers are increasingly making 5G a foundational component of their Industry 4.0 transformation strategies. Many manufacturers are considering or already implementing 5G, including private 5G networks, a global trend that will be worth $109 billion by 2030. Nestlé conducted the trial at Parque Tecnologico São José dos Campos, a government-sponsored research park where it is one of the resident companies exploring next-generation technologies and business processes. The trial focused on how Nestlé could use 5G to connect autonomous manufacturing robots and automated guided vehicles at their plants like the one in Caçapava, Brazil. The trial used the Telit Cinterion 5G FT980-WW evaluation kit, which features the FN980 module. Based on the 3GPP Rel. 15 standard, the FN980m supports all major 5G frequency bands, giving private networks maximum deployment flexibility. The Nestlé trial focused on the use of sub-6 GHz spectrum. "Telit Cinterion has been a partner of Nestlé since we began conducting the first tests using 5G technology at Nestlé's Innovation and Technology Center (CIT) at the São José dos Campos Technology Park. We are very pleased with this unprecedented joint work, which is so important for the national industry," explained Gustavo Moura, Digital Transformation Program Manager for Operations at Nestlé Brazil. "Nestlé Brazil is one of several recent Latin America 5G factory automation trials that Telit Cinterion has been part of, which shows that manufacturers across the region see 5G as key for ensuring the success of their Industry 4.0 migration," said Neset Yalcinkaya, SVP Sales Americas at Telit Cinterion. "This successful trial also is the latest example of how manufacturers, systems integrators, and others turn to Telit Cinterion for private 5G factory automation and PoC trials." About Telit Cinterion Telit Cinterion is a global enabler of the intelligent edge providing complete solutions that reduce time to market and costs, delivering custom designed, ready for market connected devices in addition to maintaining the industry's broadest portfolio of enterprise-grade wireless communication and positioning modules, cellular MVNO connectivity plans and management services, edge-cloud software and data orchestration, and IoT and Industrial IoT platforms. As the largest western provider pioneering IoT innovation, Telit Cinterion delivers award-winning and highly secure IoT solutions, modules and services for the industry's top brands.

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Digital Transformation

Advantech and Altizon Partnership Accelerates Industry 4.0 Transformation for Sustainable, Efficient Digital Factory Operations

prnewswire | April 28, 2023

Advantech, a leading provider of industrial Internet of Things (IoT) hardware and automation technology, and Altizon, a global software provider of Industrial IoT platform, Datonis Digital Factory, are proud to announce the launch of their joint solution designed for ease of transformation to a smart factory. The solution bundle includes specially selected Advantech edge hardware and Altizon's Datonis Digital Factory platform, pre-validated and pre-installed to ensure smooth deployment. Altizon's platform provides a ready-made suite of applications that digitize critical operational functions, such as production, maintenance, quality, energy and sustainability. Additional key features are as follows: Secure data exchanges in real time Edge device management from the cloud Out-of-the box apps with rapid configuration capabilities Standard set of reports and dashboards to accelerate business value realization Data analysis at scale "Altizon is excited to partner with Advantech for accelerating the growth of our Digital Factory applications and solutions," said Vinay Nathan, CEO, Altizon. "By offering out-of-the-box connectivity to Altizon's Digital Factory suite with Advantech's IIoT hardware, we see customers benefiting from a one-stop solution that is seamless to deploy and yields rapid ROI (Return on Investment)." The bundle includes the following Advantech intelligent hardware device UNO-2271G-V2 Intel-based Edge IoT Gateway ADAM-6717 Linux Intelligent I/O Gateway WISE-S100 Stack Light Monitoring Sensor "The partnership between Advantech and Altizon brings great value to our systems integrators and end-user customers by solving common pain points on the factory floor with simplified digital transformation," said Carolyn Swan, director of partnerships, Advantech North America IIoT Group. "Manufacturing systems integrators can help transition factories with less headache by deploying our bundle solution. End-user customers can be up and running within four to six weeks and enjoy higher productivity, real-time edge intelligent analytics, lower operational costs and faster time to market." About Altizon Altizon, a global industrial IoT company, powers digital revolutions by helping enterprises leverage machine data to drive business decisions. Altizon’s Datonis Manufacturing Suite applies advanced analytics and machine learning algorithms to accelerate smart manufacturing initiatives, modernize asset performance management and pioneer new business models for service delivery. Learn more at www.altizon.com.

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Digital Transformation

Redwire Wins NASA Contract to Advance New In-Space Manufacturing Capability for Journeys to Moon, Mars and Beyond

businesswire | March 27, 2023

Redwire Corporation, a leader in space infrastructure for the next generation space economy, has been awarded a $5.9 million contract from NASA to complete the design of FabLab, a new in-space manufacturing system. FabLab is expected to be tested onboard the International Space Station (ISS) and serve as a precursor for Artemis missions to the Moon and Mars. The multi-material 3D printer will allow NASA crews in deep space to manufacture tools and components on demand using materials such as metal, plastic, ceramics and electronics, enabling a sustainable human presence on and around the Moon, Mars, and beyond. “FabLab is a solution for some of the key logistics challenges with sustained human deep space exploration aboard the Lunar Gateway and on the Moon and Mars,” said Redwire Executive Vice President John Vellinger. “Astronauts won’t need to pack their spacecraft with every tool or part they may need millions of miles from Earth. Make it, don’t take it.” In 2017, Redwire was selected to prototype FabLab through NASA’s Next Space Technologies for Exploration Partnerships program. This latest contract will see the FabLab design fully matured to spaceflight-ready status. An anticipated follow-on contract will support the construction of a FabLab unit and its test aboard the ISS in low-Earth orbit (LEO). Testing FabLab on the ISS will be an important step toward building versions for use at destinations beyond LEO, such as NASA’s Gateway. With FabLab technology, crews on the Moon, Mars, and in deep space will be able to manufacture critical assets, such as tools, replacement parts, and printed circuit boards on demand. “Having an integrated capability for on-demand manufacturing and repair of components and systems during space missions will be integral for sustainable exploration missions,” said Jim Reuter, associate administrator for NASA Space Technology Mission Directorate programs. “This is a rapidly-evolving, disruptive area in which NASA wants to continue working with industry and academia to develop these technologies through collaborative mechanisms such as this one.” FabLab leverages Redwire’s leadership in in-space manufacturing. Redwire’s Additive Manufacturing Facility (AMF), the first permanent commercial manufacturing platform to operate in LEO, has manufactured over 200 tools, parts, and assets onboard the ISS. AMF’s versatility and durability have made it a reliable resource for government and commercial customers since its activation in 2016. Building on this expertise, Redwire is continuing to develop new capabilities that will leverage in-space manufacturing for unprecedented applications to meet future space exploration goals. About Redwire Redwire Corporationis a leader in space infrastructure for the next generation space economy, with valuable IP for solar power generation and in-space 3D printing and manufacturing. With decades of flight heritage combined with the agile and innovative culture of a commercial space platform, Redwire is uniquely positioned to assist its customers in solving the complex challenges of future space missions.

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