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

被引：25

作者：

Csalodi, Robert ^{[1
]}

Sule, Zoltan ^{[1
,2
]}

Jasko, Szilard ^{[1
,3
]}

Holczinger, Tibor ^{[1
,3
]}

Abonyi, Janos ^{[1
]}

机构：

[1] Univ Pannonia, MTA PE Lendulet Complex Syst Monitoring Res Grp, H-8200 Veszprem, Hungary

[2] Univ Pannonia, Dept Comp Sci & Syst Technol, H-8200 Veszprem, Hungary

[3] Univ Pannonia, Dept Appl Informat, Nagykanizsa Campus, H-8800 Nagykanizsa, Hungary

来源：

COMPLEXITY | 2021年 / 2021卷

关键词：

DERIVATIVE-FREE OPTIMIZATION; CYBER-PHYSICAL PRODUCTION; DIGITAL TWIN; MANUFACTURING SYSTEMS; RESOURCE-ALLOCATION; SUPPLY CHAIN; GENERATION; MODEL; CONFIGURATION; SIMULATION;

D O I：

10.1155/2021/6621235

中图分类号：

O1 [数学];

学科分类号：

0701 ; 070101 ;

摘要：

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.

引用

页数：22

共 146 条

[1] Multi-objective resource allocation for Edge Cloud based robotic workflow in smart factory [J].

Afrin, Mahbuba ;

Jin, Jiong ;

Rahman, Ashfaqur ;

Tian, Yu-Chu ;

Kulkarni, Ambarish .

FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE, 2019, 97 :119-130

[2]

Ahmadi A, 2019, STUD COMPUT INTELL, V803, P448, DOI 10.1007/978-3-030-03003-2_35

[3]

Al Rafi J., 2019, P 2019 INT C SUST TE, P1, DOI [10.1109/STI47673.2019.9067990, DOI 10.1109/STI47673.2019.9067990]

[4] Production planning and scheduling in Cyber-Physical Production Systems: a review [J].

Alejandro Rossit, Daniel ;

Tohme, Fernando ;

Frutos, Mariano .

INTERNATIONAL JOURNAL OF COMPUTER INTEGRATED MANUFACTURING, 2019, 32 (4-5) :385-395

[5] Tackling Faults in the Industry 4.0 Era-A Survey of Machine-Learning Solutions and Key Aspects [J].

Angelopoulos, Angelos ;

Michailidis, Emmanouel T. ;

Nomikos, Nikolaos ;

Trakadas, Panagiotis ;

Hatziefremidis, Antonis ;

Voliotis, Stamatis ;

Zahariadis, Theodore .

SENSORS, 2020, 20 (01)

[6]

[Anonymous], 2002, COLL MAN MAN STRAT

[7] The Car as a Transformer [J].

Aston, Jeremy ;

Freire, Rui Pedro .

INTELLIGENT HUMAN SYSTEMS INTEGRATION 2020, 2020, 1131 :118-123

[8]

Ausiello G., 1999, COMPLEXITY APPROXIMA, DOI DOI 10.1007/978-3-642-58412-1

[9]

Banjanovic-Mehmedovic Lejla, 2020, New Technologies, Development and Application III. Lecture Notes in Networks and Systems (LNNS 128), P413, DOI 10.1007/978-3-030-46817-0_47

[10] Ontologies in Process Systems Engineering [J].

Batres, Rafael .

CHEMIE INGENIEUR TECHNIK, 2017, 89 (11) :1421-1431

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