Journal
INTERNATIONAL JOURNAL OF INDUSTRIAL ENGINEERING COMPUTATIONS
Volume 11, Issue 3, Pages 359-376Publisher
GROWING SCIENCE
DOI: 10.5267/j.ijiec.2020.1.003
Keywords
Multi-objective optimization; Production scheduling; Evolutionary computation
Funding
- Slovenian Research Agency (ARRS) [P2-0190]
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Multi-Objective (MO) optimization is a well-known research field with respect to the complexity of production planning and scheduling. In recent years, many different Evolutionary Computation (EC) methods have been applied successfully to MO production planning and scheduling. This paper is focused on making a review of MO production scheduling methods, starting from production scheduling presentation, notation and classification. The research field of EC methods is presented, then EC algorithms' classification is introduced for the purpose of production scheduling optimization. As a main goal, MO optimization is focused on hybrid EC methods, and presenting their advantages and limitations. Finally, a survey of five scientific databases is presented, with the analysis of the scientific publications the terminology development of the scientific field is presented. Using the citation analysis of the scientific publications, the application for the MO optimization in manufacturing scheduling is discussed. (C) 2020 by the authors; licensee Growing Science, Canada
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