A Guide to Modern Factory Automation and Industry 4.0 in Manufacturing
Release Date:
2020-08-27
By leveraging automation technology, virtually any organization can execute processes with minimal human intervention. Automation can power a wide range of equipment, enabling the achievement of diverse objectives across a variety of manufacturing environments.
By leveraging automation technology, virtually any organization can execute processes with minimal human intervention. Automation can power a wide range of equipment, enabling the achievement of diverse objectives across a variety of manufacturing environments.
Automation is so effective because it enhances quality, output, and efficiency by reducing the need for human intervention, thereby significantly lowering the risk of errors.
In its most basic form, automation employs a controller that evaluates measured conditions against a predefined set of reference values to maintain the desired environmental and operational efficiency.
Industrial Automation
In industrial settings, automation employs control systems—such as computers—and large volumes of data to manage equipment and processes in manufacturing environments. Companies in this sector are continually seeking ways to increase output, productivity, and efficiency. Automation ensures that machinery remains within specified operational parameters.
Most automated production lines consist of workstations and a conveying system that employs a variety of tools to alter a product’s function or appearance, enabling it to move through multiple stages of the manufacturing process.
The logic controller oversees the process by managing the sequence of machine operations and the duration each machine must operate on the product.
When necessary, companies can leverage automated infrastructure to manufacture, refine, and produce individual parts, as well as assemble final products.
Different Factory Automation Systems
There are four distinct types of automation, each with a specific application:
• Flexible Manufacturing System (FMS) – The use of a Flexible Manufacturing System (FMS) enables production lines to expand the capabilities of programmable systems, thereby achieving changeovers with no production downtime or minimal downtime.
• Programmable—Programmable automation capabilities enable operators to adjust and resequence the entire manufacturing process to address deviations in the final product, such as color variations in children’s toys. This solution typically leverages CNC machine tools operated via computer programs to compensate for any batch-to-batch variations.
• Rigid, fixed, or hard systems—by definition, these systems remain stationary throughout the entire production process and cannot be altered without major modifications. Such setups are typically limited to production lines that manufacture large volumes of a single product, such as in automobile manufacturing.
• Computer Integrated Manufacturing (CIM) – Computer Integrated Manufacturing systems encompass all factory-related automation and production processes that rely on computer systems. CIM systems typically include the following:
– Automated cranes and transfer systems;
–CNC machine tools;
–CAD and CAM integration;
–Computer-aided planning;
–Computer-aided scheduling and production;
–Machine system;
–Robotics.
Industry 4.0
Industry 4.0, also known as the Fourth Industrial Revolution or simply smart manufacturing, involves the use of automation and data sets in manufacturing environments. This highly intuitive and interconnected process enables production lines to meet the rapidly evolving demands of the industry.
Within the framework of Industry 4.0, any standalone activity can now be integrated with other processes more quickly and accurately, thereby adding value to the entire operation.
Industry 4.0 is comprised of “nine pillars of technological advancement,” which will be detailed below:
• Pillar 1: Additive Manufacturing – Additive manufacturing is another term for 3D printing, referring to the use of 3D technology to create products by building up layers that form the entire object. This technology is typically employed for small-batch custom products, lightweight mechanical components, and prototyping.
• Second pillar: Augmented Reality (AR) – Augmented Reality (AR) is ideally suited for identifying issues in machinery, as well as for training and diagnostics.
• Third pillar: Autonomous robotics—robotic systems can adapt their core objectives according to the stage of production. In addition to operating safely in human-made environments, robots can also communicate with one another.
• Fourth Pillar: Big Data and Analytics – Significant data and analytical resources are required to enhance the efficiency that every enterprise strives for. Production lines can collect data at every stage of the supply chain to optimize their processes and reallocate resources where deemed most appropriate.
• Fifth Pillar: Cloud Computing – Manufacturing requires collaboration that extends beyond the boundaries of individual companies, which means that rapid cloud computing is essential for data collection, analysis, storage, and monitoring.
• Sixth Pillar: Cybersecurity – The goal of Industry 4.0 is to transition from traditional, closed-loop processes to a more modern, interconnected environment. However, this requires more sophisticated user access controls and greater reliance on cybersecurity measures.
• Pillar 7: Horizontal and Vertical System Integration – System integration entails the seamless coordination of all assets across the supply chain. For example, a production-line manager may wish to maintain visibility into information from other parts of the supply chain, such as data from the retail organization or the manufacturing department.
• Pillar 8: Internet of Things (IoT) – IoT sensors are deployed across numerous assets on the production line and in the control center. These assets can then communicate with one another, providing production personnel with deep insights into production-line operations. The data is subsequently transmitted to a cloud platform for use in predictive maintenance.
• Pillar 9: Simulation – 3D simulation of products, materials, and processes can leverage real-time data and transform it into a virtual model of the entire manufacturing operation.
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