Industry 4.0, also known as the fourth industrial revolution, aims at creating Smart Factories.
To comprehend the insights attainable from a Smart Factory, let’s examine the phases preceding and succeeding in transforming a Plastic Extrusion Manufacturer. Given my previous exposure to the topic, this should be a breeze.
The shop floor consists of a Pelletizer, Extruder, and packaging.
After the raw materials have arrived at the storage, workers carefully select, weigh, and feed them to the hopper of the Pelletizer in appropriate quantities.
The Pelletizer transforms plastic materials, often in the form of sizeable bulk material or flakes, into small pellets or granules. This Strand Pelletizer is a rotating cutting blade that continuously cuts these plastic materials into pellets or granules.
These pellets, in some cases, along with additives such as colourants, etc., are fed to Extruders through their hopper manually. The rotating worm shaft in Extruder, usually called a screw, is contained within a cylindrical barrel. This barrel surrounding the screw is split into multiple Heating and Cooling zones controlled through Thermostats connected to Control Panels. The Extruder heats the plastic material appropriately by regulating the temperatures with the help of Control Panels and propels it through the die to create the desired shape. Depending upon the output quality, the temperatures are adjusted, dies are replaced, and motor RPMs are adjusted.
Finished products are then manually collected and packaged.
Even though there are basic control mechanisms, this setup needs advanced automation and data-driven control. The absence of advanced automation and smart technologies characterizes the human-centric nature of Industry 3.0 processes.
A transformation occurs, leading to a complete overhaul of the factory.
Robotic arms select raw materials from the storage, guided by sensors. These materials are then accurately positioned on the conveyors, where sensors ensure the correct quantity. The conveyors smoothly transport the materials and feed them into the Pelletizer.
The pelletizer is now equipped with sensors that oversee parameters such as pellet dimensions, quality, and production rate. These sensors provide real-time data to a central control system.
The Extruder’s heating and cooling zones are monitored and controlled by advanced thermostats connected to the same central control system. The central control system employs advanced algorithms, including PID (Proportional-Integral-Derivative) control, to regulate the temperature in the heating and cooling zones. The control system can dynamically adjust the heating and cooling elements based on the temperature data received from the sensors. Machine learning algorithms optimize the extrusion process by analyzing data from various sensors and adjusting parameters like temperature, screw speed, and motor RPMs to achieve the desired output quality. Robotic systems assist in die changes, reducing downtime. The process is optimized using simulations and real-time data to minimize production disruptions.
Finished pellets are automatically collected, weighed, and packaged using robotic systems. Labels with batch information are applied automatically.
Also, the collected data from sensors in the machines are analyzed using advanced analytics and machine learning algorithms. This data-driven approach helps optimize the Pelletization process extrusion procedure, predict maintenance needs, and ensure consistent product quality. The process integrates into Manufacturing Exeecution Systems (MES) and Enterprise Resource Planning (ERP) systems. This integration streamlines production planning, material ordering, and inventory management. Operators can monitor and control the Extruder remotely through digital interfaces. This enables them to make adjustments and decisions without being physically present on the shop floor. A digital twin of the Extruder is created, allowing operators to simulate changes and optimizations before applying them to the real process. This minimizes trial and error in achieving desired product specifications.
Incorporating Industry 4.0 principles in the described process transforms it from manual and traditional to a digitally optimized, data-driven, and efficient operation. This transformation aligns with the modern demands of precision, quality, and agility in manufacturing and production environments.
Notable Real-World Scenarios
The scenario described above was entirely fictional and only a scaled-down representation of the transformations, benefits, and challenges observed in real-world cases. Some noteworthy instances are outlined below:
Industry: Manufacturing (Hydraulic Motors)
Achievements: Bosch Rexroth implemented Industry 4.0 concepts in their hydraulic motor factory. They integrated sensors, data analytics, and predictive maintenance to optimize production processes. This resulted in a 50% reduction in unplanned downtime, a 30% improvement in energy efficiency, and a 25% reduction in maintenance costs.
Industry: Manufacturing (Electrical Equipment)
Achievements: Schneider Electric implemented Industry 4.0 practices in its Le Vaudreuil factory. The result was a 15% increase in production efficiency, a 7% reduction in energy consumption, and a 50% decrease in production lead time. The factory also improved its on-time delivery performance by 10%.
Industry: Manufacturing (Steel)
Achievements: Tata Steel’s Kalinganagar plant in India implemented Industry 4.0 practices to optimize its steel production processes. Through integrating data analytics and smart sensors, the plant achieved a 20% reduction in specific water consumption, a 40% reduction in specific energy consumption, and a 15% reduction in CO2 emissions. The factory’s overall equipment efficiency (OEE) improved by 8%, leading to enhanced production output.
Global Industry 4.0 Initiatives
Numerous countries are actively undertaking initiatives to embrace and capitalize on the advantages of Industry 4.0. The government is providing support and assistance to enable the transition process.
Bahrain recently launched the iFactories program under a collaborative effort by the Ministry of Industry and Commerce and Tamkeen. This program aims to facilitate the establishment of intelligent manufacturing facilities aligned with Industry 4.0 standards, incorporating cutting-edge technologies such as robotics, the Internet of Things (IoT), big data analytics, and 3D printing. The initiative emphasizes that embracing advanced production management practices will ensure the sustainability of industrial resources, elevate productivity, and generate quality employment opportunities for citizens. Around 300 local factories will enhance their efficiency, productivity, and flexibility by 2026.
The Global Lighthouse Network is a World Economic Forum initiative in collaboration with McKinsey & Company, examining the future of operations and considering how Fourth Industrial Revolution technologies are shaping production. The Global Lighthouse Network Playbook for Responsible Industry Transformation is a guide for organizations aiming to reach the future of manufacturing through responsible production that combines productivity, sustainability, and active workforce engagement.
Frameworks / Roadmap to Industry 4.0
Industry 4.0 embodies interconnected processes, real-time data transparency, and decentralized decision-making. Intelligent automation, virtualization, and cross-disciplinary collaboration drive efficiency and innovation. With a focus on customization, sustainability, and agility, Industry 4.0 integrates digital technologies and data-driven approaches to transform manufacturing into a dynamic, interconnected ecosystem.
There isn’t a single universally defined industry-wide standard roadmap for transitioning to Industry 4.0. The frameworks offer structured approaches to adopting Industry 4.0 principles and technologies. A well-known framework hailing from Germany is Industrie 4.0 (Germany). This framework underscores the interconnectedness of individuals, machinery, and processes while providing direction on seamlessly incorporating digital technologies.
While Industry 4.0 encompasses a vision and set of principles for the future of manufacturing, other standards, such as RAMI 4.0 Architecture, a standardized reference model designed to structure the implementation and integration of Industry 4.0 principles. RAMI provides a hierarchical view of the various layers, dimensions, and relationships involved in Industry 4.0 systems. It offers a structured way to conceptualize, plan, and implement Industry 4.0 initiatives.
It’s important to note that Industry 4.0 is not a one-size-fits-all approach; it’s about leveraging digital technologies to create custom solutions that fit an organization’s context and goals. Consulting with experts, industry associations, and peers in your sector can help you develop a roadmap that suits your organization’s journey toward Industry 4.0.
Software Industry Offerings
The software products play a crucial role in achieving the goals of Industry 4.0 by facilitating connectivity, real-time insights, and efficient operations. Here are some essential types of technical software products used in Industry 4.0:
- IoT Platforms: Microsoft Azure IoT, AWS IoT, Siemens MindSphere
- MES (Manufacturing Execution Systems): Rockwell FactoryTalk MES, SAP MES.
- PLM (Product Lifecycle Management): Siemens Teamcenter, PTC Windchill.
- SCADA (Supervisory Control and Data Acquisition)
- ERP (Enterprise Resource Planning): SAP ERP, Oracle ERP Cloud.
- CAD/CAM (Computer-Aided Design/Computer-Aided Manufacturing): AutoCAD, SolidWorks.
- Simulation and Modelling Tools: MATLAB, Simulink, Arena Simulation.
- Analytics and Data Science Platforms: Tableau, Power BI, Python-based libraries like TensorFlow and sci-kit-learn.
- AR and VR Software: Unity, Unreal Engine, PTC Vuforia.
- Cybersecurity Solutions: firewall software, intrusion detection systems (IDS), encryption tools.
- Workflow Automation Tools: UiPath and Automation Anywhere.
- Digital Twin Platforms: Siemens Digital Twin, Ansys Twin Builder.
- Edge Computing Software: Microsoft Azure IoT Edge, AWS Greengrass.
Implementing Industry 4.0 involves harnessing a dynamic blend of cutting-edge software solutions. Integrating IoT platforms, MES systems, and data analytics tools empowers factories with real-time data insights, enhancing operational efficiency and predictive maintenance. Coupled with AI and robotics, these software combinations enable autonomous processes, while digital twin platforms facilitate virtual simulations for informed decision-making. This software synergy transforms manufacturing into a smart, interconnected ecosystem, propelling Industry 4.0’s vision of innovation and productivity to new heights.
Mapping the Trajectory. Where is it leading to?
The ultimate goal of transforming a factory to Industry 4.0 is establishing an innovative, interconnected, data-driven manufacturing ecosystem. This entails seamless integration of processes, real-time data exchange, and autonomous operations powered by AI and automation. The transformed factory achieves flexibility, efficiency, and customization, driven by data-informed decision-making and innovation. This approach enhances product quality, supply chain management, and sustainability while empowering workers and boosting global competitiveness, ultimately leading to economic growth and resilience in an evolving industrial landscape.
While Industry 4.0 focuses primarily on transforming manufacturing and industrial processes, Japan’s Society 5.0 extends this concept beyond manufacturing to encompass broader aspects of society, including healthcare, transportation, infrastructure, and urban living. Society 5.0 is often seen as a continuation of Japan’s earlier industrial revolutions, with the fourth industrial revolution (Industry 4.0) as a foundation for its development.
Futuristically, these innovations could lead to factories operating on renewable energy, circular economies with minimal waste, and predictive maintenance preventing environmental hazards, contributing to a cleaner, greener, and more resilient planet.