Selection of Simulation-Optimization Meta-Modeling Approach in Manufacturing Supply Chains

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Khoddam, Mona | 2013

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Type of Document: M.Sc. Thesis
Language: Farsi
Document No: 44083 (01)
University: Sharif University of Technology
Department: Industrial Engineering
Advisor(s): Ghasemi Tari, Farhad
Abstract:
This research presents a modified algorithm for constrained optimization of random simulation models. One output is selected as objective to be minimized, while other must satisfy the given threshold value. Moreover, the simulation inputs must be integer and satisfy linear or nonlinear constraints. The research applies a sequentialized experimental design to specify the simulation input combinations, Kriging (or spatial correlation modeling) to analyze the global simulation input/output data resulting from these designs, and nonlinear programming to estimate the optimal solution from the Kriging metamodels. In addition, a simulation model is developed for different inventory planning policies in a three echelon supply chain. The results show that the modified procedure is comparable with the popular commercial heuristic OptQuest embedded in the AnyLogic
Keywords:
Simulation Optimization ; Metamodel ; Kriging Metamodel ; Planning Inventory ; Supply Chain

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