Industry 4.0-Driven Development of Optimization Algorithms: A Systematic Overview. (13th February 2021)

• Record Type: Journal Article
• Authors: Csalódi, Róbert; Süle, Zoltán; Jaskó, Szilárd; Holczinger, Tibor; Abonyi, János
• Other Names: Han Renke Academic Editor.
• Is Part Of: Complexity. Volume 2021(2021)
• Publication Date: 2021-02-13
• Subjects: Chaotic behavior in systems -- Periodicals; Complexity (Philosophy) -- Periodicals; 003
• DOI: 10.1155/2021/6621235
• Languages: English
• ISSNs: 1076-2787

Abstract

Abstract : The Fourth Industrial Revolution means the digital transformation of production systems. Cyber-physical systems allow for the horizontal and vertical integration of these production systems as well as the exploitation of the benefits via optimization tools. This article reviews the impact of Industry 4.0 solutions concerning optimization tasks and optimization algorithms, in addition to the identification of the new R&D directions driven by new application options. The basic organizing principle of this overview of the literature is to explore the requirements of optimization tasks, which are needed to perform horizontal and vertical integration. This systematic review presents content from 900 articles on Industry 4.0 and optimization as well as 388 articles on Industry 4.0 and scheduling. It is our hope that this work can serve as a starting point for researchers and developers in the field.