Title

Multi-objective simulation optimization: A case study in healthcare management

Authors

Authors

F. F. Baesler;J. A. Sepulveda

Comments

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Abbreviated Journal Title

Int. J. Ind. Eng.-Theory Appl. Pract.

Keywords

simulation; optimization; multi-objective; genetic algorithms; healthcare; GOAL PROGRAMMING APPROACH; MANUFACTURING SYSTEMS; MULTICRITERIA DESIGN; MODELS; Engineering, Industrial; Engineering, Manufacturing

Abstract

This study presents an approach to solve multi-response simulation optimization problems. This approach integrates a simulation model with a genetic algorithm heuristic and a goal programming model. This method was modified to perform the search considering the mean and the variance of the responses. This way, the selection process of the genetic algorithm is performed stochastically, and not deterministically like most of the approaches reported in the literature. The methodology was tested using a simulation model of a cancer treatment facility created by the authors. The multi-objective optimization heuristic was successfully used to improve the performance of the model relative to four different system objectives. Empirical results show that the methodology is capable of generating an important part of the Pareto optimal frontier, mostly concentrated in the center portion, where practical solutions are generally located.

Journal Title

International Journal of Industrial Engineering-Theory Applications and Practice

Volume

13

Issue/Number

2

Publication Date

1-1-2006

Document Type

Article

Language

English

First Page

156

Last Page

165

WOS Identifier

WOS:000246634900005

ISSN

1072-4761

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