Abstract
The article presents the results of machine backup designing in reconfigurable industrial processes. The development of manufacturing systems is moving towards intelligent, automated, autonomous, and reconfigurable manufacturing systems. Factories that want to ensure long-term sustainable and competitive manufacturing processes must be designing their processes to respond flexibly to changing changes in customer requirements. The article’s introduction characterizes concepts such as cold backup and warm backup machines and indicators relationship as the time between faults and repairs. The materials and methods describes prerequisites as the creation of the product family creation and resource availability with many formulas, simulation models, and its verification for the creation of the family products in the results of this article. The results describes the results from the calculations of the backups and family products of their use in reconfigurable manufacturing systems. The developed methodology for line design uses the principles of reconfiguration in designing configurations regarding advanced approaches in factories. A significant milestone will be the rapid integration of disruptive technologies and approaches into manufacturing systems. The complexity of future manufacturing systems in the Factories of the Future will only be possible with new innovative factory technologies using the digital twin.
Highlights
The European Union has defined sustainable manufacturing as its primary strategic goal for the coming years
Our study focuses on the Longest Common Subsequence submodule (LCS) algorithm’s longest common chain of products operations and on the very similarity of operations performed on devices
Due to the large scale of the overall solution, this article will be based on the study results of the designing of manufacturing lines using the principle of reconfigurability [20]
Summary
The European Union has defined sustainable manufacturing as its primary strategic goal for the coming years. This manufacturing must create products with high added value for the customer. Forecasters have identified digitization and digital technologies as the main drivers of productivity growth and competitiveness at the beginning of the 21st century. Future needs in industrial technologies result from customers’ changing requirements, needs, and possibilities. New generations of manufacturing systems correspond to this. The condition for success is the rapid, practical use of technological research results, i.e., the commercialization of technologies [1]. The closure of the cycle will support this: basic research—applied research—development—prototype—product—profit from sales—new investment in research
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