Industry 4.0-Driven Development of Optimization Algorithms: A Systematic Overview

Author:

Csalódi Róbert1ORCID,Süle Zoltán12ORCID,Jaskó Szilárd13ORCID,Holczinger Tibor13ORCID,Abonyi János1ORCID

Affiliation:

1. MTA-PE Lendület Complex Systems Monitoring Research Group, University of Pannonia, Veszprém H-8200, Hungary

2. Department of Computer Science and Systems Technology, University of Pannonia, Veszprém H-8200, Hungary

3. Department of Applied Informatics, University of Pannonia, Nagykanizsa Campus, Nagykanizsa H-8800, Hungary

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.

Funder

TKP2020 Thematic Excellence Programme by the National Research, Development and Innovation Fund of Hungary

Publisher

Hindawi Limited

Subject

Multidisciplinary,General Computer Science

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