Multi-Objective Optimization of Production Objectives Based on Surrogate Model

The article addresses an approximate solution to the multi-objective optimization problem for a black-box function of a manufacturing system. We employ the surrogate of the discrete-event simulation model of a batch production system in an analytical form. Integration of simulation, Design of Experi...

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Bibliographic Details
Published inApplied sciences Vol. 10; no. 21; p. 7870
Main Authors Červeňanská, Zuzana, Kotianová, Janette, Važan, Pavel, Juhásová, Bohuslava, Juhás, Martin
Format Journal Article
LanguageEnglish
Published Basel MDPI AG 01.11.2020
Subjects
Batch production
Computer simulation
Decision making
Design of experiments
Discrete event systems
Manufacturing
manufacturing system
metamodel
multi-objective optimization
Multiple objective analysis
Optimization
Pareto optimization
Pareto optimum
Simulation
simulation-based optimization
surrogate model
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Summary:The article addresses an approximate solution to the multi-objective optimization problem for a black-box function of a manufacturing system. We employ the surrogate of the discrete-event simulation model of a batch production system in an analytical form. Integration of simulation, Design of Experiments methods, and Weighted Sum and Weighted Product multi-objective methods are used in an arrangement of a priori defined preferences to find a solution near the Pareto optimal solution in a criterion space. We compare the results obtained through the analytical approach to the outcomes of simulation-based optimization. The observed results indicate a possibility to apply the suitable analytical model for quickly finding the acceptable approximate solution close to the Pareto optimal front.
ISSN:2076-3417
2076-3417
DOI:10.3390/app10217870