Multi-Objective Optimization of Production Objectives Based on Surrogate Model
Source abstract
Abstract
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.
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Research context
OpenAlex topics: Simulation Techniques and Applications · Manufacturing Process and Optimization · Aerospace, Electronics, Mathematical Modeling
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Faculty of Materials Science and Technology in Trnava, Slovak University of Technology in Bratislava, 91724 Trnava, Slovakia
Funding
Vedecká Grantová Agentúra MŠVVaŠ SR a SAV
References (37)
Show source-provided references
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