How IoT in Manufacturing is Changing Business Dynamics

ANUSREE BHATTACHARYA | January 08, 2021 | 771 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

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How to Improve Production Scheduling: The 5 Crucial Elements

Article | December 8, 2021

The manufacturing production schedule is a critical aspect that enables the manufacturing business to complete each production activity precisely and on time. Allocating different raw materials, resources, or processes to distinct project phases is called a production schedule. Its goal is to make your manufacturing process as efficient and cost-effective as possible in terms of resources and labor — all while delivering products on schedule. As technology takes over and enhances many of the processes we used to handle with manual labor, we are freed up to use our minds creatively, which leads to bigger and better leaps in innovation and productivity." – Matt Mong, VP Market Innovation and Project Business Evangelist at Adeaca So, how is the overall production schedule managed? According to businesswire, the global APS (Advanced Production Planning and Scheduling) software market was valued at $1,491.22 million in 2020 and is anticipated to raise $2,941.27 million by 2028 expanding at an 8.86 percent CAGR from 2020 to 2028. Some software and tools are available to assist manufacturing organizations in properly scheduling production planning, including MaxScheduler, TACTIC, MRPeasy, and Gantt charts. Though there are numerous software programs available on the market for production scheduling, the most crucial aspect is determining which elements to consider when planning production. This blog will look at the five most important factors to consider while planning the production schedule. Five Elements to Consider When Scheduling Production As we saw in the introduction, production scheduling is used in the manufacturing process to assign plant and machinery resources, schedule human resources, plan production processes, and purchase materials. So, what are the primary components or stages of this production scheduling process? Let's take a quick look at each of them. Planning to Make the Best Use of the Company's Resources The role of planning in production scheduling is to use the company's resources to maintain a regular production flow. As a result, downtime is decreased, and bottlenecks are minimized, allowing production to be optimized. For production scheduling, two forms of planning can be used: Dynamic Planning: Dynamic planning is carried out under the idea that process stages will alter. So, materials must be ready, but production cannot begin until demand is decided. Static Planning: Static planning is done keeping in mind that all process steps will be completed on schedule and without adjustments. Routing to Determine the Order of Actions A “bill of materials” is used in discrete manufacturing to specify what things are needed and in what quantities. Routing determines the path and sequence of required phases of the process. It may involve in-house operations, but it may also comprise sub-contracted components that must be returned to the production flow for final assembly. Scheduling to Make Use of Predetermined Planning Levels To manufacture products from components or raw materials, scheduling makes use of the previously set planning level. As a result, it is time-dependent and must meet the demand outlined at the planning level. Each department, product, and procedure can have their own unique set of timetables. Sub-schedules for sub-assemblies or mixes and blends may be defined by department-specific master production schedules, utilized at the highest level to define product timeframes. Dispatching to Decide on Immediate Actions Dispatching assigns the following jobs to be done from a subset of the production queue. Dispatching is utilized to make quick decisions. This is in contrast to planning, which involves the planning of future actions. Dispatching is utilized in both pull and push production systems. Execution to Ensure that all Processes are Carried out Correctly Production scheduling must rely on proper execution to ensure that all processes are completed appropriately and in the sequence planned. It requires everyone to know what they are expected to do and when they are expected to do it. Execution requires knowledgeable management decisions, well-trained employees, correct data in the manufacturing plan and schedule, and consistent sales statistics and forecast numbers. All must be present for the organization to carry out its production plan and fulfill orders. How MRPeasy – A Production Scheduling Software Assist Manufacturing Companies in Scheduling Their Production? MRPeasy is a cloud-based material requirements planning (MRP) application explicitly designed for small manufacturing units. Its primary functions are purchase order management, forecasting, and inventory management. This software simplifies the process of scheduling production. It enables you to evaluate all of your anticipated manufacturing orders (MO). The bill of materials (BOM), purchasing, and stocking are all maintained in one location, allowing you to quickly book inventory and increase purchase orders (PO) for acquired parts. MRPeasy enables you to: Obtain all of the detailed information on all of your MOs Consider MOs as a single block or as distinct operations. Drag-and-drop operations and operations to reschedule Calendar or Gantt chart views are available for monitoring scheduled orders. Additionally, you can manage MOs smoothly. With the production planning component, you may create, amend, and update MOs. This app compiles an exhaustive list of all your MOs. You can track their progress based on the status of an order or a part's availability. Additionally, you can search for, filter, and export your MOs. Final Words How to schedule production for your organization requires extensive research, planning, and analysis of overall product demand as well as a grasp of the time required to meet the demand. Production scheduling techniques such as job-based planning, batch method, flow method, and others help develop a productive manufacturing production schedule. Include the elements mentioned above in your manufacturing scheduling to get the best possible benefits, such as better production efficiency, lower production costs, and on-time product delivery for your manufacturing in 2022. FAQ How production planning differ from production scheduler? Production planning and scheduling are often mixed. But there is a difference. Planning decides what and how much work must be done, whereas scheduling specifies who and when the work will be done. What is real-time manufacturing scheduling? Real-Time Scheduling is a production planning, scheduling, and tracking tool that enables manufacturing organizations to improve customer satisfaction and achieve optimal operational performance cost-effectively. How can scheduling be improved? Communication with staff is a great way to improve scheduling. This is true for all businesses, software or otherwise. However, management should not burden employees with ambiguous or unclear communication, and vice versa. { "@context": "https://schema.org", "@type": "FAQPage", "mainEntity": [{ "@type": "Question", "name": "How production planning differ from production scheduler?", "acceptedAnswer": { "@type": "Answer", "text": "Production planning and scheduling are often mixed. But there is a difference. Planning decides what and how much work must be done, whereas scheduling specifies who and when the work will be done." } },{ "@type": "Question", "name": "What is real-time manufacturing scheduling?", "acceptedAnswer": { "@type": "Answer", "text": "Real-Time Scheduling is a production planning, scheduling, and tracking tool that enables manufacturing organizations to improve customer satisfaction and achieve optimal operational performance cost-effectively." } },{ "@type": "Question", "name": "How can scheduling be improved?", "acceptedAnswer": { "@type": "Answer", "text": "Communication with staff is a great way to improve scheduling. This is true for all businesses, software or otherwise. However, management should not burden employees with ambiguous or unclear communication, and vice versa." } }] }

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Three Business Examples That Effectively Practice Lean Manufacturing

Article | December 13, 2021

Lean manufacturing principles enable manufacturing businesses to achieve spectacular results and overhaul their conventional operations. A wide range of industries have adopted lean manufacturing because of its enormous advantages, and they have seen excellent results as a result. The 2010 Compensation Data Manufacturing survey indicated that 69.7% of manufacturing organizations employ lean manufacturing principles. By consuming this data, we can understand how far organizations have progressed toward incorporating lean principles into their operations. “Many companies are not willing to change or think they are done once they make a change. But the truth is technology, consumer demands; the way we work, human needs, and much more are constantly changing.” –Michael Walton, Director, Manufacturing Industry Executive at Microsoft Let's look at some examples of lean manufacturing from some well-known companies. These leading-edge examples of lean manufacturing will shed light on how lean principles positively affect. Leading Companies Using Lean Manufacturing Effectively Successful manufacturing businesses like Toyota, Nike, and Caterpillar are currently employing lean manufacturing ideas in their production processes. In addition, Intel, Parker Hannifin, and John Deere embrace these techniques. From them, we've described three different organizations in various sectors that are successfully adopting lean manufacturing. JOHN DEERE John Deere has also implemented a lean manufacturing strategy. As a result, many of their quality control procedures are automated, which means that more components can be checked for flaws in less time. This means that more supply can be released each day, and the product can be supplied at a lower price to the consumer. Additionally, these controls monitor the manufacturing process for each component of their products, ensuring that they never manufacture more than is required and waste essential materials in the process. INTEL Intel, known for its computer processors, has used lean manufacturing techniques to provide a higher quality product for an industry that requires zero defects. In the past, it took more than three months to get a microprocessor to the manufacturer, but this principle has helped shorten that time to less than ten days. Intel rapidly learned that creating more but worse quality was not the way to raise revenues and increase consumer satisfaction with its products, which were extremely precise and technical. Instead, both parties gain from quality control and waste reduction initiatives. This is even true in the tech industry, where goods are constantly changed and upgraded. TOYOTA Toyota, the world's largest automaker, was the first to implement lean manufacturing in its manufacturing operations. But, even more importantly, they've learned how to limit products that don't match customer expectations by eliminating waste. To achieve these goals, Toyota employs two essential procedures. The first is a method known as Jidoka, which loosely translates as "automation with the assistance of humans." This implies that, although some of the work is automated, humans always ensure that the result is of the highest quality. When something goes wrong, the machines have built-in programs that allow them to shut themselves down. Known as the Just In Time (JIT) model, this is the second stage. Once the last part of a process has been finished, the next phase can begin. No unnecessary work will be done if there is a problem with the assembly line. This lean manufacturing technique has inspired thousands of other businesses. Final Words Lean manufacturing principles and their execution require discipline and patience to get the results out of them. When we see the successful lean manufacturing examples, it is not a fraction of a second success. They have devoted their time, energy, and efforts to modifying every single operational process in order to become a part of lean manufacturing. Lean manufacturing is not a method; it is a way of life that transforms your business practices and takes your firm to a new level of operations. Gain insights from renowned organizations' lean manufacturing success stories to help you become a part of the lean companies of 2022. FAQ What is the effect of lean manufacturing? Lean is a performance-based, continuous-improvement strategy that removes waste and unnecessary processes from organizational operations. As a result, your company becomes more focused on the results. Is it possible for lean manufacturing to fail? It is conceivable in some circumstances, such as failing to focus on a single system implementation or implementing too many system changes at once and failing to have a sound follow-up system to check that everything is working effectively. Why do certain businesses struggle with lean manufacturing? Most businesses fail to see that lean is a management philosophy, not a set of tools. As a result, most corporate leaders either don't understand or lack the patience and control to implement lean manufacturing. { "@context": "https://schema.org", "@type": "FAQPage", "mainEntity": [{ "@type": "Question", "name": "What is the effect of lean manufacturing?", "acceptedAnswer": { "@type": "Answer", "text": "Lean is a performance-based, continuous-improvement strategy that removes waste and unnecessary processes from organizational operations. As a result, your company becomes more focused on the results." } },{ "@type": "Question", "name": "Is it possible for lean manufacturing to fail?", "acceptedAnswer": { "@type": "Answer", "text": "It is conceivable in some circumstances, such as failing to focus on a single system implementation or implementing too many system changes at once and failing to have a sound follow-up system to check that everything is working effectively." } },{ "@type": "Question", "name": "Why do certain businesses struggle with lean manufacturing?", "acceptedAnswer": { "@type": "Answer", "text": "Most businesses fail to see that lean is a management philosophy, not a set of tools. As a result, most corporate leaders either don't understand or lack the patience and control to implement lean manufacturing." } }] }

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Manufacturing Cyberattacks: The Perfect Disaster Recovery Plan

Article | March 29, 2022

How to recover from a cyber-attack is critical when we consider integrating industry 4.0 technologies into our traditional manufacturing processes. Cyber Crime Is the Greatest Threat to Every Company in the World.” – Ginni Rometty, CEO of IBM The internet-based nature of industry 4.0 makes it more prone to being targeted by hackers and having its data corrupted or compromised. In 2021, 50% of manufacturing businesses reported having experienced a cyberattack or data breach. Having a contingency plan in place in the event of a cyberattack is what every organization is looking for these days. So, in this article, we will explore how to construct the perfect cybersecurity disaster recovery plan and the critical elements to consider as you prepare for your cyber recovery. Cybersecurity Disaster Recovery Plan Observe Your Cyber-incident Develop a clear cyber incident response plan that you can use to expedite the recovery process. The incident response plan should explicitly delegate tasks to teams and individuals and include all the actions necessary for your organization to recover as painlessly as possible. Plan for Business Continuity You must have a strategy for resuming operations while your system remains infected or under attack by hackers. Determine alternates for essential processes disrupted by the incident and train personnel on how to adapt to the new working conditions. For instance, you may need to direct your customer service department to contact customers rather than email them, or your employees may be permitted to use personal computers that your cyber recovery department has cleared. In the meantime, work machines return to their working conditions. Recover from Safe Backups Having a cyber recovery mechanism in place will make it much easier to locate a secure backup. However, you must wait until your network is entirely restored and clean before fixing your data. For example, a dependable and fast backup strategy is the best approach to recover from ransomware. This procedure requires a recent version of your data and applications that do not contain malware. Rebuild or Recover Lost Data Suppose you do not have a cyber recovery system, but you keep backups as part of your cyber security disaster recovery system. In that case, you will only need to recreate the stored data after the most recent clean backup of your system. If the data is irrevocably lost, you will require professional assistance to recover it. Improve Your Cybersecurity Practices After a cyber event, the support after attack is essential part. Examine your security loopholes and determine the areas of improving. Enhance your manufacturing security processes, reset all passwords, and educate your workers to do the same. Educating your team is the most effective means of preventing further intrusions into your systems. 5 Pillars to Recover from a Cyber Attack An Effective Framework A framework must be adopted, changed, and fine-tuned to an organization's specific requirements and the data that is to be safeguarded. Executives must develop proper governance for the organization's people, procedures, and technology. To develop a cybersecurity risk management program, you must first select and implement an acceptable framework. End-to-end coverage A good cybersecurity disaster recovery plan covers all the data in the organization that needs to be secured. The ever-increasing number of networked devices may make it difficult for a company to locate all its data. An organization must also identify all cybersecurity risks, from third-party vendors to work procedures. Therefore, a cybersecurity program's scope must include all the essential parts of the organization's protection. Extensive Threat Analysis and Modeling An essential step in prioritizing cybersecurity threats is assessing their likelihood and damage potential. When prioritizing, the cybersecurity team should analyze the organization's data from a hacker's perspective. This perspective will help the team design a strong cybersecurity strategy. Proactive Incident Response Planning Many businesses have created incident response strategies to deal with the possibility that any system's security may be hacked at some point. Unfortunately, many of those plans remain unused and outdated, leaving personnel unprepared when needed. Proactive incident response planning entails evaluating the project, identifying ways to improve its efficacy, and training and preparing staff to respond to a security breach and minimize damage. Dedicated Cybersecurity Resources Finally, the organization's cybersecurity requires dedicated individuals. To build a successful cybersecurity risk management program, the governance roles and duties must be clearly defined. Final Word Rendering support following a cyber-attack must be well planned and thoroughly tested. The cybersecurity disaster plan recommended in this article can be modified or customized to meet your business's specific needs. If you're serious about modernizing your traditional manufacturing and making it smarter, cyber recovery should be a top priority. That way, your operations and data are protected at all times. FAQ What are the major types of cyber-threats? App-based (malicious apps), web-based (phishing), network (free Wi-Fi), and physical (no PIN or biometric authentication) are the major types of cyber-threats. What are the five types of cybersecurity? Critical infrastructure security, application security, network security, cloud security, and IoT security are the five types of cybersecurity. Why are manufacturing cyber-attacks rising? The rise in industrial cybersecurity attacks can be connected to specific changes in the way the industry functions; technological improvements, especially the convergence of IT and OT systems; the sensitivity toward downtime in certain businesses; and the absence of segmentation.

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Examples of Agile Manufacturing to See Why It Is Very Critical

Article | December 8, 2021

An agile manufacturing strategy is one that places a strong priority on responding quickly to the needs of the customer, resulting in a major competitive advantage. It is a captivating method to build a competitive work system in today's fast-moving marketplace. An agile organization must be able to adapt quickly to take advantage of limited opportunities and rapid shifts as per client demand. Agile manufacturing is gaining favor among manufacturers due to its several benefits, including increased work productivity and good control over the final deliverable. Furthermore, the shorter time to market is expanding the global market for enterprise agile transformation services. According to Market Watch, with a CAGR of 17.9% from 2019 to 2026, the US enterprise agile transformation services market is predicted to reach $18,189.32 million by 2026. So why is agile manufacturing gaining traction? What challenges do manufacturers encounter when implementing agile manufacturing, and how have industry leaders like GE, Adobe, and Accenture effectively implemented agile methodology in their organizations and become the best examples of agile manufacturing? In this article, we'll take a closer look at each point. What Is the Importance of Agile Manufacturing? The term "agile manufacturing" refers to the use of a variety of different technologies and methodologies in the production process. In order to meet market standards and criteria, organizations must be able to adapt quickly and effectively to their customers' needs by bringing agility to manufacturing. To ensure the quality of products and the cost of production are kept to a minimum, agile manufacturing helps firms to regulate their end product. Because it immediately addresses the needs and worries of the clients, it is an effective strategy as well. By using this method, firms may better understand the market and use it to their advantage by creating products that meet the needs of their customers. Challenges While Adopting Agile Methodologies on a Project When we talk about agile challenges when implementing it on any project, some will be routine and some will be unique. So, let's get a quick grasp on the agile challenges. Communication about the project: Clear communication between the development team and the product owner is critical throughout the project development life cycle. Any miscommunication can have an impact on the product's quality and the end result of the entire process. Managing the day-to-day operational challenges: Throughout the project, daily minor or large operations play a significant impact on the overall project output. Any obstacles encountered when working on everyday chores should be resolved immediately to avoid any delays or halts in the process. To make it function, you'll need experience: Any inexperienced product owners, scrum masters, or individuals new to the agile approach may have a negative impact on the project's expected output. Various project contributors' buy-in: Inadequate training, a lack of motivation to show up from project participants, keeping customers in the loop, and a lack of departmental management are some of the problems that may hinder the accurate implementation of the agile methodology. The presence of one or more of these obstacles in any business or project may jeopardize the agile methodology and its total output. Though there are many online training courses and books available on how to integrate agile practices into your project, each organization's scenario is unique, as are the challenges they encounter. As a result, handling the situation with experienced personnel that have a can-do attitude is what is required to make it work. Following that, we'll look at some manufacturing business agile examples and how they've successfully implemented agile methodology in their organizations. Agile Manufacturing Examples We'll look at one of the most well-known industrial examples of agile manufacturing that has successfully implemented the methodology and achieved great outcomes. Take a peek at it. Adobe One of the most popular agile manufacturing examples in performance management revamps is Adobe. When Donna Morris was Senior Vice President of People Resources in 2012, she thought the annual performance evaluation and the stack-ranking process were bureaucratic, paperwork-heavy overly complicated, taking up too many management hours for the company. Aside from this, she discovered that it set barriers to joint efforts, creativity, and development. The Adobe team ditched annual performance reviews and encouraged managers and employees to regularly discuss performance via a system called “Check-in.” Adobe has reduced voluntary turnover by 30% and increased voluntary departures by 50% since making the transition. Moreover, the company saved 80,000 management hours annually. General Electric General Electric famously overhauled its performance management system in 2015, paving the path for other global firms to follow in the electronics industry. Annual performance evaluations and the infamous rank-and-yank performance rating system (ranking employees and regularly eliminating the bottom 10%) had GE decide they needed to update their performance management system. The annual appraisals lasted a decade longer than the ranking system. They are now a more agile organization. Instead of directing employees to attain goals, managers now guide and coach them. GE also decided to deploy an app they designed called PD@GE to facilitate regular employee feedback and productive performance discussions. Using the app, each employee establishes priorities and solicits feedback. They can also give real-time feedback. Employees can request a face-to-face meeting at any time to discuss transparency, honesty, and continuous improvement. These traits will not arise quickly and will require motivation and commitment for self-growth. Accenture According to Accenture's previous system, employees who perform well tend to be the most narcissists and self-promoters. Accenture wanted to revamp their system and reward genuine employees. So they started using on-going performance conversations while focusing on performance development. Because it required employees to compete with coworkers who may have had a different position, Accenture decided that forced ranking was illogical. The new system is more centered on the employee and aims to assist them in becoming the best version of themselves. Final Words Agile manufacturing is a way to get the finest results and exceed client expectations on every project. Businesses are benefiting from agile manufacturing because it improves the end product and helps them better utilize their resources. The necessity of agile manufacturing in business is vital, and organizations must overcome the challenges they encounter while applying the agile approach to any of their projects in order to reap the benefits of agile production. FAQ How does agile manufacturing help businesses? An agile manufacturing process enables organizations to respond to client requests with flexibility when market conditions change, as well as regulate their intended production while preserving product quality and minimizing costs. What is an agile organization? Unified alignment, accountability, specialization, transparency, and cooperation are key elements in an agile organization. To guarantee these teams can work efficiently, the organization must maintain a solid environment. What are the core elements of agility? Individuals and interactions over processes and tools are the four values of the Agile Methodology. A working program is preferable to in-depth documentation. During contract negotiation, the customer's cooperation is valued. { "@context": "https://schema.org", "@type": "FAQPage", "mainEntity": [{ "@type": "Question", "name": "How does agile manufacturing help businesses?", "acceptedAnswer": { "@type": "Answer", "text": "An agile manufacturing process enables organizations to respond to client requests with flexibility when market conditions change, as well as regulate their intended production while preserving product quality and minimizing costs." } },{ "@type": "Question", "name": "What is an agile organization?", "acceptedAnswer": { "@type": "Answer", "text": "Unified alignment, accountability, specialization, transparency, and cooperation are key elements in an agile organization. To guarantee these teams can work efficiently, the organization must maintain a solid environment." } },{ "@type": "Question", "name": "What are the core elements of agility?", "acceptedAnswer": { "@type": "Answer", "text": "Individuals and interactions over processes and tools are the four values of the Agile Methodology. A working program is preferable to in-depth documentation. During contract negotiation, the customer's cooperation is valued." } }] }

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IOT

To Accelerate Industry 4.0 and to Collect Large-scale Manufacturing Data, Renault Group and Atos Launches a Unique Service

Renault Group | June 29, 2022

A strategic partnership to develop and commercialize a one-of-a-kind technology solution for collecting and analysing manufacturing data on a large scale. A new step toward industry digitalization is being taken by improving the operational performance of manufacturing equipment, resulting in higher productivity, fewer defects, and lower energy consumption. This collaboration takes advantage of Renault Group's expertise and experience in digitalizing its manufacturing activities, as well as Atos' expertise as a key player in manufacturing digital transformation and consulting. 28 June 2022, Boulogne-Billancourt and Paris - ID@scale (Industrial Data @ Scale) is a new service for industrial data collection launched by Renault Group and Atos to assist manufacturing companies on their digital journey to Industry 4.0. Manufacturers will be able to collect and structure data from industrial equipment at scale using "ID@S" (Industrial Data @ Scale) to improve operational excellence and product quality. Manufacturers generate a massive amount of data throughout the manufacturing process. Data is frequently underutilized due to its diversity and lack of standardization, as well as operator time constraints. Access to standardized data via simple analytical tools and dashboards facilitates and accelerates the deployment of many different types of use cases (production, maintenance, quality, and energies, for example), including net zero benefits. Renault Group's IT, digital, and engineering teams created this solution to capture data from its manufacturing facilities as part of the company's digital transformation strategy. Data is collected and structured in a standardized manner for each type of manufacturing process, allowing a wide range of use cases in manufacturing, engineering, quality, CSR, logistics, and so on to be addressed. This solution is now being implemented on a large scale across twenty-two Renault Group plants. Over 7,500 pieces of equipment are linked, with standardized data models representing over 50 different manufacturing processes. Finally, the partnership is supported by the Group's Consulting and Services teams to market, deploy, and support the "as a service" solution worldwide, enabling rapid and agile deployment of new connectivity, data models, analytics, and insights for a customer within a few weeks.

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MANUFACTURING TECHNOLOGY

Jabil and the Carnival Corporation Have Set up a New Manufacturing Partnership

Jabil | December 21, 2021

On December 20, 2021, Jabil Inc. announced a new collaboration with Carnival Corporation & plc (NYSE/LSE: CCL; NYSE: CUK) to manufacture and fulfill the Princess Medallion® in Bajos de Haina, Dominican Republic. The Medallion wearable, which was introduced in 2017, comprises a patented combination of communication technologies that optimizes a cruise holiday in real-time based on customers' preferences and choices and delivers increased customization at scale across every part of the vacation experience. The improvements that will be madeat Jabil's Bajos de Haina factory will strengthen the Princess Medallion's just-in-time, direct-to-port fulfillment. The facility totals over 60,000 square feet of manufacturing area, including 36,000 square feet of cleanroom space, and is run by a highly skilled and efficient workforce of over 600 personnel, with additional roles becoming available over the next three years. The partnership of two Florida-based companies coming together in the Dominican Republic, where we both operate, will help Princess Cruises overcome many of the logistics gridlocks challenging the market today. Our advanced manufacturing capabilities in one of our newest sites will meet the needs of this world-class wearable that improves the travel experience for Princess Guests.” Mike Mahaz, Vice President of Global Business Units at Jabil The proximity of Jabil’s state-of-the-art facilities and factory automation, along with their exceptional track record across consumer, medical and military device manufacturing, gives us a tremendous opportunity to support the increased demand for our experiential IoT wearables and support good-paying jobs in the Dominican Republic in the highly-desirable sector, this development also reflects the continuation of Carnival’s impressive investment throughout the Caribbean to stimulate economic growth and prosperity across the region.” John Padgett, chief experience and innovation officer at Carnival Corporation Given the pandemic, Jabil is working hard to help customers build touchless experiences using the newest Internet of Things technology.

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Matroid Leverages New Funding to Accelerate Product Development and Market Expansion in Manufacturing, IIOT

Matroid | October 14, 2020

Matroid, the main U.S. PC vision (CV) supplier and a world chief in AI, today reported it has brought $20 million up in Series B financing drove by Energize Ventures with cooperation from existing speculators New Enterprise Associates (NEA), Intel Capital, and others. The new financing carries absolute subsidizing to $33.5 million. Expanding on the undertaking achievement of its item, Matroid plans to use the new subsidizing to quicken item advancement and go-to-showcase extension in assembling, mechanical IOT (IIOT), and video security markets. Inside assembling and IIOT, Energize's corporate financial specialists incorporate General Electric, Schneider Electric, Caterpillar, Invenergy, and others. Programming characterized sensors that work on symbolism caught by ordinary cameras are rapidly turning into the zenith sensor. Sensors are basic for some ventures, government offices, and public wellbeing associations. In any case, an assortment of variables have restricted the extent of arrangements, including the intricacy, corner-cases, and preparing costs related with building video and AI pipelines of adequate throughput, in a way where an organization can occur in minutes, rather than months. The Matroid item empowers non-programming associations in big business to tackle the intensity of programming characterized sensors. Established in 2016 by Stanford architects and teachers with elite ability in AI, AI, and PC Vision, Matroid opens the guarantee of programming characterized sensors through unequaled convenience in the whole sending lifecycle. “Enterprises have tasted the value that software-defined sensors can provide, but are also feeling the pain of rolling out a conventional computer vision team,” said Reza Zadeh, CEO and Founder of Matroid. “Deployments of CV are constrained by Machine Learning engineering time, operator training time, camera interoperability, scaling AI computations, and the difficulty of iterating on neural networks performing important tasks like detailed inspection. With the Matroid product, we set a new standard for ease of use in deploying sensors. With this funding we are excited to take the next steps to bring software-defined sensors to manufacturing and industrial IOT enterprises.” “Reza and the Matroid team are building a world-class platform that marries the expertise of engineers and operators with next-generation computer vision technologies and machine learning algorithms,” said John Tough, Managing Partner of Energize Ventures. “The Energize team is excited to deploy our financial, operational and industry capital to help Matroid capture market share in energy, industrials and IoT.” “As the renewable sector continues to grow, we must be on the forefront of new innovations and tools to push us into the future — new digital technologies like Matroid will expedite the energy transition,” said Michael Polsky, Founder and CEO of Invenergy. Invenergy is a leading privately held, global developer and operator of sustainable energy solutions, and currently uses video data captured from drones to analyze the state of its wind turbines and other renewable energy sites. About Matroid: Matroid is an easy-to-use and intuitive studio for creating and deploying detectors (computer vision models) to search visual media for people, behavior, objects, and events -- no programming required. Once a detector is developed, Matroid can search any live stream or recorded video, providing real time notifications when the object of interest has been detected. Customers use Matroid in construction, manufacturing, security, media, retail and other industries. Matroid reduces operating costs associated with manually searching through video footage for an object or a specific person, and increases efficiency, safety, and regulatory compliance. Matroid can be deployed in the cloud or on-premise. About Energize: Energize Ventures is a pre-growth venture capital firm located in Chicago. We partner with entrepreneurs to advance the next generation of energy and industry by investing in software and business model innovations. Since it was founded in 2016, Energize has made 14 investments spanning cybersecurity, mobility, data analytics, operational efficiency and distributed assets.

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IOT

To Accelerate Industry 4.0 and to Collect Large-scale Manufacturing Data, Renault Group and Atos Launches a Unique Service

Renault Group | June 29, 2022

A strategic partnership to develop and commercialize a one-of-a-kind technology solution for collecting and analysing manufacturing data on a large scale. A new step toward industry digitalization is being taken by improving the operational performance of manufacturing equipment, resulting in higher productivity, fewer defects, and lower energy consumption. This collaboration takes advantage of Renault Group's expertise and experience in digitalizing its manufacturing activities, as well as Atos' expertise as a key player in manufacturing digital transformation and consulting. 28 June 2022, Boulogne-Billancourt and Paris - ID@scale (Industrial Data @ Scale) is a new service for industrial data collection launched by Renault Group and Atos to assist manufacturing companies on their digital journey to Industry 4.0. Manufacturers will be able to collect and structure data from industrial equipment at scale using "ID@S" (Industrial Data @ Scale) to improve operational excellence and product quality. Manufacturers generate a massive amount of data throughout the manufacturing process. Data is frequently underutilized due to its diversity and lack of standardization, as well as operator time constraints. Access to standardized data via simple analytical tools and dashboards facilitates and accelerates the deployment of many different types of use cases (production, maintenance, quality, and energies, for example), including net zero benefits. Renault Group's IT, digital, and engineering teams created this solution to capture data from its manufacturing facilities as part of the company's digital transformation strategy. Data is collected and structured in a standardized manner for each type of manufacturing process, allowing a wide range of use cases in manufacturing, engineering, quality, CSR, logistics, and so on to be addressed. This solution is now being implemented on a large scale across twenty-two Renault Group plants. Over 7,500 pieces of equipment are linked, with standardized data models representing over 50 different manufacturing processes. Finally, the partnership is supported by the Group's Consulting and Services teams to market, deploy, and support the "as a service" solution worldwide, enabling rapid and agile deployment of new connectivity, data models, analytics, and insights for a customer within a few weeks.

Read More

MANUFACTURING TECHNOLOGY

Jabil and the Carnival Corporation Have Set up a New Manufacturing Partnership

Jabil | December 21, 2021

On December 20, 2021, Jabil Inc. announced a new collaboration with Carnival Corporation & plc (NYSE/LSE: CCL; NYSE: CUK) to manufacture and fulfill the Princess Medallion® in Bajos de Haina, Dominican Republic. The Medallion wearable, which was introduced in 2017, comprises a patented combination of communication technologies that optimizes a cruise holiday in real-time based on customers' preferences and choices and delivers increased customization at scale across every part of the vacation experience. The improvements that will be madeat Jabil's Bajos de Haina factory will strengthen the Princess Medallion's just-in-time, direct-to-port fulfillment. The facility totals over 60,000 square feet of manufacturing area, including 36,000 square feet of cleanroom space, and is run by a highly skilled and efficient workforce of over 600 personnel, with additional roles becoming available over the next three years. The partnership of two Florida-based companies coming together in the Dominican Republic, where we both operate, will help Princess Cruises overcome many of the logistics gridlocks challenging the market today. Our advanced manufacturing capabilities in one of our newest sites will meet the needs of this world-class wearable that improves the travel experience for Princess Guests.” Mike Mahaz, Vice President of Global Business Units at Jabil The proximity of Jabil’s state-of-the-art facilities and factory automation, along with their exceptional track record across consumer, medical and military device manufacturing, gives us a tremendous opportunity to support the increased demand for our experiential IoT wearables and support good-paying jobs in the Dominican Republic in the highly-desirable sector, this development also reflects the continuation of Carnival’s impressive investment throughout the Caribbean to stimulate economic growth and prosperity across the region.” John Padgett, chief experience and innovation officer at Carnival Corporation Given the pandemic, Jabil is working hard to help customers build touchless experiences using the newest Internet of Things technology.

Read More

Matroid Leverages New Funding to Accelerate Product Development and Market Expansion in Manufacturing, IIOT

Matroid | October 14, 2020

Matroid, the main U.S. PC vision (CV) supplier and a world chief in AI, today reported it has brought $20 million up in Series B financing drove by Energize Ventures with cooperation from existing speculators New Enterprise Associates (NEA), Intel Capital, and others. The new financing carries absolute subsidizing to $33.5 million. Expanding on the undertaking achievement of its item, Matroid plans to use the new subsidizing to quicken item advancement and go-to-showcase extension in assembling, mechanical IOT (IIOT), and video security markets. Inside assembling and IIOT, Energize's corporate financial specialists incorporate General Electric, Schneider Electric, Caterpillar, Invenergy, and others. Programming characterized sensors that work on symbolism caught by ordinary cameras are rapidly turning into the zenith sensor. Sensors are basic for some ventures, government offices, and public wellbeing associations. In any case, an assortment of variables have restricted the extent of arrangements, including the intricacy, corner-cases, and preparing costs related with building video and AI pipelines of adequate throughput, in a way where an organization can occur in minutes, rather than months. The Matroid item empowers non-programming associations in big business to tackle the intensity of programming characterized sensors. Established in 2016 by Stanford architects and teachers with elite ability in AI, AI, and PC Vision, Matroid opens the guarantee of programming characterized sensors through unequaled convenience in the whole sending lifecycle. “Enterprises have tasted the value that software-defined sensors can provide, but are also feeling the pain of rolling out a conventional computer vision team,” said Reza Zadeh, CEO and Founder of Matroid. “Deployments of CV are constrained by Machine Learning engineering time, operator training time, camera interoperability, scaling AI computations, and the difficulty of iterating on neural networks performing important tasks like detailed inspection. With the Matroid product, we set a new standard for ease of use in deploying sensors. With this funding we are excited to take the next steps to bring software-defined sensors to manufacturing and industrial IOT enterprises.” “Reza and the Matroid team are building a world-class platform that marries the expertise of engineers and operators with next-generation computer vision technologies and machine learning algorithms,” said John Tough, Managing Partner of Energize Ventures. “The Energize team is excited to deploy our financial, operational and industry capital to help Matroid capture market share in energy, industrials and IoT.” “As the renewable sector continues to grow, we must be on the forefront of new innovations and tools to push us into the future — new digital technologies like Matroid will expedite the energy transition,” said Michael Polsky, Founder and CEO of Invenergy. Invenergy is a leading privately held, global developer and operator of sustainable energy solutions, and currently uses video data captured from drones to analyze the state of its wind turbines and other renewable energy sites. About Matroid: Matroid is an easy-to-use and intuitive studio for creating and deploying detectors (computer vision models) to search visual media for people, behavior, objects, and events -- no programming required. Once a detector is developed, Matroid can search any live stream or recorded video, providing real time notifications when the object of interest has been detected. Customers use Matroid in construction, manufacturing, security, media, retail and other industries. Matroid reduces operating costs associated with manually searching through video footage for an object or a specific person, and increases efficiency, safety, and regulatory compliance. Matroid can be deployed in the cloud or on-premise. About Energize: Energize Ventures is a pre-growth venture capital firm located in Chicago. We partner with entrepreneurs to advance the next generation of energy and industry by investing in software and business model innovations. Since it was founded in 2016, Energize has made 14 investments spanning cybersecurity, mobility, data analytics, operational efficiency and distributed assets.

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