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Smart Machining Processes
Published in E. S. Gevorkyan, M. Rucki, V. P. Nerubatskyi, W. Żurowski, Z. Siemiątkowski, D. Morozow, A. G. Kharatyan, Remanufacturing and Advanced Machining Processes for New Materials and Components, 2022
E. S. Gevorkyan, M. Rucki, V. P. Nerubatskyi, W. Żurowski, Z. Siemiątkowski, D. Morozow, A. G. Kharatyan
Essentially, CIM is a process of using computers and communication networks to transform technological units into a highly interconnected manufacturing system. Over the decades, interpretation of CIM gradually has changed from computerized work-cells, large-scale automation, CAD/CAM, interfacing and communication concepts to a contemporary mature definition where CIM is an integration effort that embraces a whole organization across all functional units. In order to achieve an effective integration, an in-depth understanding of all technologies and comprehensive knowledge of all activities across all functional units in an enterprise is required. Since computers are merely tools that facilitate processing and exchanging information, successful application of CIM requires, first, integration of functional units and software applications/systems. Today, with sophisticated manufacturing equipment and available advanced ICT tools, it is possible to reach the objectives of CIM with ease (Nagalingam and Lin, 2008).
Manufacturing Systems
Published in Leo Alting, Geoffrey Boothroyd, Manufacturing Engineering Processes, 2020
Leo Alting, Geoffrey Boothroyd
The concept of computer integrated manufacturing (CIM) was developed in parallel with the FMS concept, and often the two concepts are mixed up. CIM is not a product or a system that can be purchased, and it is therefore less well defined than FMS. Here, CIM is defined as a strategy of using information technology in a strategic manner to integrate manufacturing functions and improve the flow of information. CIM has been one of the most discussed topics in manufacturing spheres during the 1980s. Today, CIM is attracting less attention because it has become a matter of course to apply computers and information technology in almost all manufacturing functions. CIM has to a wide extent been succeeded by concepts such as concurrent engineering, which basically addresses the same problems: to improve and speed up the flow of information within the manufacturing organization. But concurrent engineering focuses more on the organizational and product design aspects of integration than the application and interfacing of computer systems.
Evolution of IIoT
Published in Uthayan Elangovan, Product Lifecycle Management (PLM), 2020
Industrial automation first started in manufacturing businesses, identifying repetitive tasks by the workers performed in the shop floor that could be handled by machines. It involves the usage of machinery to manufacture an end product with speed, consistency, endurance, and accuracy beyond the capacity of an operator. Industrial machines are driven utilizing electrical, hydraulic, mechanical, pneumatic energy, and computers. Excellent developments have actually been made in automating manufacturing industries. Modern-day automation starts with the introduction of computer-integrated manufacturing (CIM), controlling virtually the entire procedure of developing a product, from concept to design through manufacturing. Over the period, industrial technologists have introduced the use of robots, programmable logic controller (PLC), and supervisory control and data acquisition (SCADA) along with electromagnetic fields to identify and track the tags attached to a product.
Manufacturing Data Analysis in Internet of Things/Internet of Data (IoT/IoD) Scenario
Published in Cybernetics and Systems, 2018
Syed Imran Shafiq, Edward Szczerbicki, Cesar Sanin
In the modern industrial environment, companies are adopting a higher level of automation and computerization for their production systems to achieve higher efficiency and superior performance. Computer integrated manufacturing (CIM) is one example of such approaches. CIM is defined as the manufacturing approach of using computers to control the entire production process. This integration allows individual processes to exchange data, information, and knowledge with each other and initiate actions. Although manufacturing can be faster and less error-prone by the integration of computers, the main advantage is the ability to create automated manufacturing processes. However, there is a substantial challenge for CIM system to have collaborating computational entities, which are in intensive connection with the surrounding world and its ongoing processes, providing and using data-accessing and data processing services available in real time (Nguyen 2005; Baxter et al. 2007). Moreover, there is a need for a mechanism to enhance overall smartness of CIM by extracting knowledge from its raw data and information (Verhagen et al. 2012).
Enterprise systems’ life cycle in pursuit of resilient smart factory for emerging aircraft industry: a synthesis of Critical Success Factors’(CSFs), theory, knowledge gaps, and implications
Published in Enterprise Information Systems, 2018
Asif Rashid, Tariq Masood, John Ahmet Erkoyuncu, Benny Tjahjono, Nawar Khan, Muiz-ud-din Shami
ES/ERP is a development from the philosophy of computer-integrated manufacturing (CIM) (Gunasekaran et al. 1994; Gunasekaran and Thevarajah 1997). The emerging automation requirements for 21st centenary is a spin-off of US Air Force’s (USAF) integrated computer-aided manufacturing (ICAM) project (USAF, Command et al. 1981). The CIM is an umbrella term used for automation of factory, machines, information, method, processes, product-development, and latent functional-domains for optimum human–computer interaction. The ES-CSFs has two distinct research approach or perspectives, the Process-(life cycle)-approach (Markus et al. 2000a), (Somers and Nelson 2004) and the Variance-(factor)-approach (Robey and Ross et al. 2002), which are discussed in subsequent subsection.