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

International Journal of Industrial Engineering : Theory Applications and Practice

Volumn 13, Issue 2, 2006, Pages 156-165

  Baesler, Felipe F ^a   Sepúlveda, José A ^b  

^a UNIVERSIDAD DEL BÍO BÍO   (Chile)

^b University of Central Florida   (United States)

Author keywords

Genetic algorithms; Healthcare; Multi objective; Optimization; Simulation

Indexed keywords

COMPUTER SIMULATION; GENETIC ALGORITHMS; HEALTH CARE; INDUSTRIAL MANAGEMENT; MATHEMATICAL MODELS; PROBLEM SOLVING;

HEALTHCARE MANAGEMENT; MULTI-OBJECTIVE SIMULATION OPTIMIZATION; SIMULATION MODEL; SIMULATION OPTIMIZATION PROBLEMS;

OPTIMIZATION;

EID: 34047128570     PISSN: 10724761     EISSN: 1943670X     Source Type: Journal    
DOI: None     Document Type: Article

References (26)

1. Azadivar, F. and Shu, J.V. (1998). Use of Simulation in Optimization of Maintenance Policies. Proceedings of the 1998 Winter Simulation Conference. pp. 1061-1067.
2. Azadivar, F. and Tompkins, G. (1999). Simulation Optimization with Quantitative Variables and Structural Model Changes: A Genetic Algorithm Approach. European Journal of Operational Research. 113: 169-182.
3. Baesler, F. and Sepúlveda, J.A. (2001). Validation Approach for a Multi-Objective Simulation Optimization Methodology. Technical Report. Dept. Ingeniería Industrial, Universidad del Bio-Bio.
4. Baesler, F., Moraga, M. and Ramis, F. (2002). Process Improvement in the Wood Industry Using simulation and Artificial Intelligence. Proceedings of the 2002 Winter Simulation Conference, pp. 1095-1098.
5. Baesler F. (2003). Multi Objective Simulation Optimization Using a Non Dominated Sorting Genetic Algorithm. Technical Report, Dept. Ingeniería Industrial, Universidad del Bio-Bio.
6. Boesel, J., Nelson, B. and Ishii, N. (2003). A Framework for Simulation Optimization Software. IIE Transactions, 35: 221-229.
7. Boyle, C.R. (1996). An Interactive Multiple Response Simulation Optimization Method. HE Transactions. 28: 453-463.
8. Brady, T. and MacGarvey, B. (1998). Heuristic Optimization Using Computer Simulation: A Study of Staffing Levels in a Pharmaceutical Manufacturing Laboratory. Proceedings of the 1998 Winter Simulation Conference, pp. 1423-1428
9. Calinski, T. and Corsten, C.A. (1985). Clustering Means in ANOVA by Simultaneous Testing. Biometrics. 41: 39-41.
10. Clayton, E.R., Weber, W.E. and Taylor, B.W. (1982). A Goal Programming Approach to the Optimization of Multiresponse Simulation Models. IIE Transactions. 14: 282-287.
11. Fu, M. (2002). Optimization for Simulation: Theory vs. Practice. Informs Journal of Computing, 14: 192-215
12. Goldberg, D. (1989). Genetic Algorithms in Search, Optimization and Machine Learning, Addison-Wesley, Reading, MA.
13. Haupt, R.L. and Haupt, S.E. (1998). Practical Genetic Algorithms. Wiley.
14. Ignizio, J. and Cavalier, T. (1994). Linear Programming. Prentice Hall, New Jersey.
15. Kochel P. and Nielander, U. (2003). Kanban Optimization by Simulation and Evolution. Production Planning and Control, 13: 725-734
16. Mollaghasemi, M. (1994). Multiple Response Optimization of Simulation Models. Transactions of the Society for Computer Simulation. 11: 179-192.
17. Mollaghasemi, M. and Evans, G.W. (1994). Multicriteria Design of Manufacturing Systems Through Simulation Optimization. Transactions on Systems, Man, and Cybernetics. 24: 1407-1411.
18. th Annual Conference on Computers in Industrial Engineering, pp. 201-203.
19. Montgomery, D. and Bettencourt, V. (1977). Multiple Response Surface Methods in Computer Simulation. Simulation. 29: 113-121.
20. Pierreval, H. (1997). Using Evolutionary Algorithms and Simulation for the Optimization of Manufacturing Systems. HE Transactions. 29: 181-190.
21. Rees, L.P., Clayton, E.R. and Taylor, B.W. (1985). Solving Multiple Response Simulation Optimization Models using Modified Response Surface Methodology within a Lexicographic Goal Programming Framework. IIE Transactions. 17: 447-457.
22. Sepúlveda, J., Thompson, W., Baesler, F., Alvarez, M. and Cahoon, L. (1999). The Use of Simulation for Process Improvement in a Cancer Treatment Center. Proceedings of the 1999 Winter Simulation conference. pp. 1541-1547.
23. Shang J.S. and Tadikamalla P.R. (1998). Multicriteria Design and Control of a Cellular Manufacturing System Through Simulation and Optimization. International Journal of Production Research 36 (6): 1515-1528
24. Srinivas M. and Deb K. (1995). Multiobjective Optimization Using Nondominated Sorting Genetic Algorithms, MIT Press, Evolutionary Computations, 2(3): 221-248
25. Teleb, R. and Azadivar, F. (1994). A Methodology for Solving Multi-Objective Simulation-Optimization Problems. European Journal of Operational Research. 72: 135-145.
26. Yang T. and Tseng L. (2002). Solving a Multi-Objective Simulation Model Using a Hybrid Response Surface Method and Lexicographical Goal Programming Approach - A Case Study on Integrated Circuit Ink-Marking Machines. Journal of The Operational Research Society 53 (2): 211-22.