Kriging metamodeling in discrete-event simulation: an overview
WSC '05 Proceedings of the 37th conference on Winter simulation
Design and Analysis of Experiments
Design and Analysis of Experiments
Simulation Modeling and Analysis (McGraw-Hill Series in Industrial Engineering and Management)
Simulation Modeling and Analysis (McGraw-Hill Series in Industrial Engineering and Management)
Office 2007 Bible
Kriging metamodeling in constrained simulation optimization: an explorative study
Proceedings of the 39th conference on Winter simulation: 40 years! The best is yet to come
Design and Analysis of Simulation Experiments
Design and Analysis of Simulation Experiments
Applied Optimization with MATLAB Programming
Applied Optimization with MATLAB Programming
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This paper describes the application of Kriging metamodeling in multiple-objective simulation optimization. An Arena-based simulation model of an (s, S) inventory system is utilized to demonstrate the capabilities of Kriging metamodeling as a simulation tool. Response surface methodology and Kriging metamodeling are compared to determine the situations in which one approach might be preferred over the other. The optimization approaches described here have the objective of finding the optimal values of reorder point s and maximum inventory level S so as to minimize the total cost of the inventory system while maximizing customer satisfaction. This paper describes two alternative approaches to utilizing Kriging methodology with multiple-objective optimization in simulation studies.