One of the main characteristics of Industry 4.0 is the customization of products. In this sense, changes in production can be made to the batches that are already scheduled to be processed. The impacts of those changes must be analyzed, and the scheduling updated. This involves complex decisions such as many others within Industry 4.0. This work solves the dynamic job scheduling problem applying multi-criteria decision analysis and fuzzy logic. It was created a set of scenarios to compare heuristics and meta-heuristics in order to solve the shop floor problem, with dynamic arrivals constraints.
A Fuzzy Algorithm to Dynamic Flow Shop in Industry 4.0
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