How Industry 4.0 Solutions Are Revolutionizing the Shop Floors

INDUSTRY 4.0
Smart manufacturing industry 4.0 is based on the concept that machines should be able to communicate and collaborate to produce new products and services. Industry 4.0 solutions, often known as the fourth industrial revolution, are transforming the way we live and work—and significantly impact the global economy.

“As companies learn to tap into the potential of the vast amounts of data emerging across all areas of operations, decision-making and action-taking are taken to a new level.”

- Thomas Erwin Global Head of KPMG Lighthouse, CoE for data-driven technologies

Industry 4.0 solutions or technologies are used to alter the way industrial companies function. Industrial IoT, automation and robots, predictive maintenance, simulation, additive manufacturing, and IoT analytics are a few of these technologies.
In this article, we will take a look at how these industry 4.0 technologies are accelerating the shop floor activities to optimize the overall manufacturing operations.


Industry 4.0 Technologies and How They Can Help

Robotics: The application of computer-controlled robots to manual tasks, such as assembling.
3D Printing: Manufacturing a three-dimensional item by layering material under computer control.
Sensor Technology: A sensor capable of detecting and responding to environmental circumstances.
AI and Machine Learning: Enables the extraction of fresh insights and decision-making capabilities from massive amounts of information.
Digital Twin: Creates digital replicas of operations to diagnose problems and test operational adjustments.
Augmented Reality: This allows for new data visualizations to increase worker productivity.
Communications Network Infrastructure: Enables data transit between machines and humans and comprehensive system integration.
Big Data Platforms: Stores, manipulates, and shows data while also providing new degrees of operational management.
Digital Supply Chain: Provides real-time visibility into supply and demand to eliminate network delay.
IoT Enabled Cybersecurity: New cyber security techniques are required due to newly digitized and automated activities.


Improve Shop Floor Operations with Industry 4.0 In Manufacturing


Digitize Each Process

Recognizing machine availability, idle state, running status, efficiency, and product quality data in real-time is crucial for any shop floor supervisor or manager to meet the actual vs. target production for that day.

Digitizing the manufacturing operations enables everyone on the shop floor to precisely comprehend machine parameters and meet day-to-day production targets.

With real-time data collection, supervisors, operators, and plant managers can easily track the overall effectiveness of their equipment.


Track OEE Using IoT and Mobile App

Capture and monitor the accuracy of sensitive data in real-time using IoT devices to record and deliver threshold alerts to supervisors’ and plant managers. This can be done using the mobile app to examine each machine's performance and efficiency. The data acquired by the OEE monitoring software will aid the organization in increasing its overall productivity rate.


Keep Track of Product Counts

Monitoring production in real-time is difficult for most operators, but digitizing the process with a TV dashboard enables operators to keep track of the number of goods produced on the machine. A production monitoring system allows operators to keep track of the number of products manufactured each day compared to the expected number.


Assign Tasks Dynamically

Supervisors spend considerable time allocating jobs to operators and tracking their efficiency. Digitizing job card processes makes it easy for supervisors to assign tasks seamlessly to operators on a shift or transfer tasks to others in the absence of an operator via automation. It also efficiently tracks each operator's performance across multiple changes.


Keep Track of Machine Failures

Maintaining accurate machine uptime and downtime records is a constant challenge for operators. With the arrival of industry 4.0 technologies such as industrial IoT solutions in the market, operators now have real-time data on machine uptime and downtime, allowing for smooth analysis of machine performance. In addition, preventive maintenance software helps operators and managers monitor equipment data while on the go. Unplanned downtime and frequent repairs are incredibly costly, and prevention is critical to achieving a higher return on investment.


Utilize Data with a Predictive Maintenance System

Tracking machine data and identifying machine downtime in real-time can significantly lower the TCO (Total Cost of Ownership). Collecting machine data for at least five years and evaluating it using a predictive maintenance system powered by AI and machine learning will help your organization reduce unplanned downtime or unexpected machine failures and increase production.

In the future, with predictive maintenance software, industrial businesses can figure out what will happen to their machinery and how to avoid it.

Many manufacturing organizations have already begun to utilize the potential of industry 4.0 solutions to improve their day-to-day operations and efficiency to satisfy the ever-changing and expanding needs of their customers, resulting in an increased return on investment.


Final Word

Industry 4.0 technologies enable firms to optimize their daily manufacturing operations and business processes in various ways. As a result, industry 4.0 solutions are generating significant interest in the industry, and several businesses are implementing them on their shop floors. Apple, Amazon, General Electrics, Siemens, Ford, and Bosch are some of the industry's biggest employers of industry 4.0 solutions.

However, manufacturers must implement these industry 4.0 technologies correctly. Instead of going with the flow, examine your business requirements and choose the appropriate technological implementation.


FAQ


Why is Industry 4.0 so critical?

Industry 4.0 technology helps you control and optimize your manufacturing and supply chain processes. It provides real-time data and insights to help you make better business decisions, increasing your company's productivity and profitability.


What is Industry 4.0's key objective?

Industry 4.0's primary purpose is to propel manufacturing forward: make it faster, more efficient, and customer-centric. Also, push beyond automation and optimization in search of new business prospects and models.


What are the benefits of smart manufacturing?

Improved efficiency, leaner processes, maximum flexibility, enhanced agility, innovation, and higher-quality products are some of the significant benefits of smart manufacturing.

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Navigating the path to success by unveiling the best practices for thriving in Industry 4.0 through successful digital transformation. Embrace the data-driven decision-making and customer-centricity. The pursuit of successful digital transformation has evolved from a business strategy to a business necessity. It is a vital imperative for organizations striving to survive and thrive in an ever-competitive market. Within this paradigm shift, a journey unfolds that transcends the commonplace and ventures into the realms of strategic innovation. This best practices article is not just a standard guide but a roadmap to excellence. Explore the best practices that propel businesses into the forefront of Industry 4.0. Beyond the surface of technology adoption lies a deeper narrative, one of cultural transformation, stakeholder collaboration, and visionary leadership. Delve into the intricacies of data-driven decision-making, the agility that fuels progress, the relentless pursuit of knowledge, and the unwavering commitment to the customer experience. Each of these elements forms a crucial thread in the tapestry of successful digital transformation. Through compelling case studies and real-world examples, draw inspiration from industry leaders who have not merely embraced change but have harnessed it to redefine their future. 1. Make confident decisions with Digital Twin Combining the physical and digital realms enables seamless integration of the entire value chain, from design to production, while optimizing with continuous data flow. A digital enterprise can harness the limitless power of data by obtaining valuable insights to make quick and confident decisions and to produce best-in-class products through efficient production. The Digital Twin approach integrates the entire product lifecycle with the factory and plant lifecycles and performance data. The end result is a continuous, open cycle of product and production optimization. The digital twin is a comprehensive digital representation of a product or process throughout its entire lifecycle. By creating a digital twin, companies can achieve significant value, such as faster time-to-market for new products, improved operational efficiency, reduced defects, and exploring new business models to drive revenue growth. With the digital twin, companies solve physical issues more efficiently by detecting them early on and accurately predicting outcomes. It empowers them to design and build superior products and ultimately enhance customer satisfaction by better serving their needs. By adopting smart architecture design, companies can continuously realize iterative value and benefits at an accelerated pace. Manufacturing, automotive, aviation, and other industries have adopted digital twins to boost productivity and efficiency. By 2025, the manufacturing industry is predicted to reach a market size worth over six billion U.S. dollars. 2. Vertically Network Various Units in Enterprise Vertical integration in a Digital Enterprise involves the convergence of IT and OT (Information Technology and Operational Technology) to enable seamless data flow from the shop floor to the top floor. The vast amount of data generated by field devices and control units on the shop floor is vital in the context of Industry 4.0, where intelligent data utilization and communication are paramount. Vertical integration generates a comprehensive solution by integrating IT systems at various hierarchical manufacturing and production levels. These hierarchical levels include the field level (interface with the production process via sensors), the control level (machine and system regulation), the production process level (to be monitored and controlled), the operations level (production planning and quality management), and the enterprise planning level. Vertical integration allows for improved communication and collaboration across different departments within the organization. This leads to better coordination, streamlined operations, and increased efficiency across the entire manufacturing ecosystem. A study by the Boston Consulting Group found that companies with a high level of vertical integration were 16% more productive than those with a low level of vertical integration. 3. Horizontally Integrate the Processes in Lifecycle The concept of horizontal integration in a Digital Enterprise ensures smooth data flow throughout the entire value chain. This integrated approach enables the digitalization of the complete value chain, spanning from design and production to service and recycling. By establishing seamless horizontal integration, it eliminates information silos and creates connections that encompass all aspects, from product innovation and manufacturing to product usage and beyond. Horizontally integrated companies focus on their core strengths and partner to support the value chain. Horizontal integration helps information flow between plant-level Manufacturing Execution Systems (MESs) when a company's manufacturing sites are spread out. This allows production sites to quickly share manufacturing data, such as unexpected delays, breakdowns, and inventory levels. Automated cooperation is crucial to supply chain integration in both the upstream (production processes and downstream (the process of bringing the finished products to market) supply and logistics chains. The integration lets a corporation automatically switch production duties between locations. A study byMcKinseyfound that companies that engaged in horizontal integration in the digital age saw their market share increase by an average of 10%. 4. Upgrade Digitalization using Automation Automation catalyzes growth by streamlining operations, breaking down silos, and promoting cross-functional collaboration. With reduced errors and increased efficiency, businesses can scale their operations with fewer resources, fostering a climate of innovation. This increased productivity allows employees to focus on more creative and challenging tasks, leading to higher motivation and engagement. Furthermore, automation provides a better customer experience, essential in today's digital-savvy market. By automating processes, businesses ensure quick access to customer information, leading to increased satisfaction. Lowering costs and expenditures is another significance enabling businesses to eliminate waste, save time, and conserve resources by automating data entry, approval workflows, and financial procedures. Additionally, automation enables efficient management of decentralized global teams from a central hub, further contributing to cost savings. Automation aids in enhancing security measures and simplifying compliance procedures. Businesses proactively identify vulnerabilities and ensure compliance with ever-changing regulations by automating data-intensive tasks. 97% of IT managers feel process automation is necessary for digital transformation. 5. Implement Additive Manufacturing The adoption of Additive Manufacturing (AM)technologies has prompted the evolution of innovative business models that emphasize environmental perspectives. AM has emerged as a transformative solution within the smart manufacturing industry, offering numerous advantages, such as improved labor, energy, and material optimization, enabling companies to respond to changing market demands effectively. AM is particularly time-saving and cost-effective for small-batch complex geometries products, allowing for non-traditional mass customization and shortening the product development cycle. It encourages changes in sustainable business models, including integrating recycled materials, increasing component attributes, and enhancing product lifecycle. AM’s sustainable benefits have garnered significant attention, focusing on reducing waste, optimizing material consumption, and shortening supply chains. Using layer-by-layer production, AM is considered less wasteful than traditional subtractive methods. 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The organization needed a user-centric digital transformation solution to optimize its data analytics, technology, and machine learning tools, but this proved difficult. Later, it embraced open-source technology and consolidated its 15 tools onto a user-friendly platform. In ten months, this helped produce 290,000 visits and 2,200,000 page views. Additionally, the company's service center is now managing 30% fewer incidents. 7. Adapt Company for a Change Digital transformation does not demand extensive technical expertise from management and employees; rather, it necessitates a shift in mindset. By embracing this new mindset and leveraging technology solutions to automate processes for both customers and employees, rapid growth can be achieved within the organization as well as in the external market. To facilitate this transformation, it is essential to identify areas that require change, enhance transparency, and foster a culture of collaboration within the organization. By taking these steps, an organization can effectively prepare for the changes brought about by digital transformation. Case Study: Honeywell The Fortune 100 manufacturer operates in industries such as aerospace and building technology. To improve product quality and make it easier to apply digital strategies, it cut its operations from eight markets to six. Early in its transformation journey, it established a digital transformation group in the company that led digital innovations like data-driven product offerings, IoT-connected devices, and advanced industrial process control. Honeywell Intelligent Wearables eliminated the need for expert site visits, empowered workers to continue learning, improved their performance, and effectively shared their knowledge with peers by connecting field workers with remote advice. In 2018, Honeywell's share price grew from $95 to $174, and revenue went from $40 billion to $43 billion. 8. 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