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Self-Organizing Manufacturing Systems in Industry 4.0: Aspect of Simulation Modelling
Abstract
This chapter presents the evolution of simulation modelling methodology in the context of the Industry 4.0 paradigm and the development of autonomous, self-organizing manufacturing systems. Such a system is managed by a decision-making system that uses a detailed model of the factory, known as the “digital twin” to monitor and control the manufacturing process and test possible process reorganization scenarios. To allow self-organization within the physical world, the “digital twin” model must itself be self-organizing. That means that the structure of the simulation model can be constructed from process data, which is a novel concept, called data-driven modelling. As self-organization leads to the reorganization of existing elements and their relationships within a system, we can treat such manufacturing systems as autopoietic. The chapter introduces the Industry 4.0 paradigm and its background and presents the main self-organizing manufacturing concepts, and the state of technology supporting these concepts.
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