A multi-product lot size in make-to-order supply chain using discrete event simulation and response surface methodology

International Journal of Services, Economics and Management

Volumn 2, Issue 3-4, 2010, Pages 246-266

  Hachicha, Wafik ^a,b   Ammeri, ^b   Masmoudi, Faouzi ^a   Chabchoub, Habib ^c  

^a UNIVERSITY OF SFAX   (Tunisia)

^b Higher Institute of Industrial Management of Sfax   (Tunisia)

^c UNIVERSITY OF SFAX   (Tunisia)

Author keywords

coordination; desirability function; discrete event simulation; lot sizing problem; LSP; make to order; management; manufacturing; mean flow time; multi location; multi product; multiple objective optimisation; response surface methodology; simulation optimisation approach; supply chain

Indexed keywords

EID: 79960905196     PISSN: 17530822     EISSN: 17530830     Source Type: Journal    
DOI: 10.1504/IJSEM.2010.033366     Document Type: Article

References (39)

1. Anupindi, R. and Tayur, S. (1998) ‘Managing stochastic multi-product systems: model measures, and analysis’, Operations Research, Vol. 46, pp.98-111.
2. Bertrand, J.W.M. (1985) ‘Multi product optimal batch sizes with in-process inventories and multi work centers’, IIE Transactions, Vol. 17, No. 2, pp.157-163.
3. Box, G.E.P. and Liu, P.Y.T. (1999) ‘Statistics as a catalyst to learning by scientific method part I – an example’, Journal of Quality Technology, Vol. 31, No. 1, pp.1-15.
4. Chan, F.T.S. and Chan, H.K. (2005) ‘Simulation modeling for comparative evaluation of supply chain management strategies’, International Journal of Advanced Manufacturing and Technology, Vol. 25, pp.998-1006.
5. Choi, S. and Enns, S.T. (2004) ‘Multi-product capacity-constrained lot sizing with economic objectives’, International Journal of Production Economics, Vol. 91, pp.47-62.
6. Dellaert, N.P. and Melo, M.T. (1996) ’Production strategies for a stochastic lot-sizing problem with constant capacity’, European Journal of Operational Research, Vol. 92, pp.281-301.
7. Derringer, G.C. and Suich, R. (1980) ‘Simultaneous optimization of several response variables’, Journal ofQuality Technology, Vol. 12, pp.214-219.
8. Del Castillo, E., Fan, S.K. and Semple, J. (1999) ‘Optimization of dual response systems: a comprehensive procedure for degenerate and no degenerate problems’, European Journal of Operational Research, Vol. 112, No. 1, pp.174-186.
9. Dong, M. and Chen, F.F. (2005) ‘Performance modeling and analysis of integrated logistic chains: an analytic framework’, European Journal of Operational Research, Vol. 162, pp.83-98.
10. Enns, S.T. and Suwanruji, P. (2005) ‘Lot-sizing within capacity constrained manufacturing systems using time-phased planning’, Proceedings of the 2005 Winter Simulation Conference, pp.1433-1440.
11. Ettl, M., Feigin, G.E., Lin, G.Y. and Yao, D.D. (2000) ‘A supply network model with base-stock control and service requirements’, Operations Research, Vol. 48, pp.216-232.
12. Gunasekaran, A. and Ngai, E.W.T. (2009) ‘Modeling and analysis of build-to-order supply chains’, European Journal of Operational Research, Vol. 195, No. 2, pp.319-334.
13. Graves, S.C., Rinnooy Kan, A.H.G. and Zipkin, P.H. (1993) Logistics of Production and Inventory, Handbooks in Operations Research and Management Science, Elsevier Science, Holland.
14. Harrington, J. (1965) ‘The desirability function’, Industrial Quality Control, Vol. 21, pp.494-498.
15. Ho, C. (1993) ‘Evaluating lot-sizing performance in multilevel MRP systems: a comparative analysis of multiple performance measures’, International Journal of Operations and Production Management, Vol. 13, No. 11, pp.52-79.
16. Hood, S.J. and Welch, P.D. (1993) ‘Response surface methodology and its application in simulation’, in Evans, G.W., Mollaghasemi, M., Rusell, E.C. and Biles, W.E. (Eds): Proceedings of the 1993 Winter Simulation Conference, pp.115-122.
17. Jammernegg, W. and Reiner, G. (2007) ‘Performance improvement of supply chain processes by coordinated inventory and capacity management’, International Journal of Production Economics, Vol. 108, pp.183-190.
18. Karimi, B., Ghomi, S.M.F.T. and Wilson, J.M. (2003) ‘The capacitated lot sizing problem: a review of models and algorithms’, Omega, Vol. 31, pp.365-378.
19. Kämpf, M. and Köchel, P. (2006) ‘Simulation-based sequencing and lot size optimization for a production-and-inventory system with multiple items’, International Journal of Production Economics, Vol. 104, pp.191-200.
20. Law, A.M. and Kelton, W.D. (2000) Simulation Modeling and Analysis, McGraw Hill, New York.
21. Lee, Y.H., Cho, M.K., Kim, S.J. and Kim, Y.B. (2002) ‘Supply chain simulation with discrete continuous combined modeling’, Computer and Industrial Engineering, Vol. 43, pp.375-392.
22. Lee, C.Y., Cetinkaya, S. and Jaruphongsa, W. (2003) ‘A dynamic model for inventory lot-sizing and outbound shipment scheduling at a third-party warehouse’, Operations Research, Vol. 51, No. 5, pp.735-747.
23. Li, J., González, M. and Zhu, Y. (2009) ‘A hybrid simulation optimization method for production planning of dedicated remanufacturing’, International Journal of Production Economics, Vol. 117, No. 2, pp.286-301.
24. Liu, X. and Lian, Z. (2009) ‘Cost-effective inventory control in a value-added manufacturing system’, European Journal of Operational Research, Vol. 196, pp.534-543.
25. Longo, F. and Mirabelli, G. (2008) ‘An advanced supply chain management tool based on modeling and simulation’, Computers and Industrial Engineering, Vol. 54, pp.570-588.
26. Mead, R. and Pike, D.J. (1975) ‘A review of response surface methodology from a biometric viewpoint’, International Biometric Society, Vol. 31, pp.803-851.
27. Missbauer, H. (2002) ‘Lot sizing in workload control systems’, Production Planning and Control, Vol. 13, No. 7, pp.649-664.
28. Montgomery, D.C. (2005) Design and Analysis of Experiments, 6th ed., Wiley & Sons, Inc., pp.160-335.
29. Myers, R.H. and Montgomery, D.C. (2002) Response Surface Methodology: Process and Product Optimization Using Designed Experiments, 2nd ed., Wiley, New York.
30. Myers, R.H., Khuri, A.I. and Carter Jr., W.H. (1989) ‘Response surface methodology:1966-1988’, Technometrics, Vol. 31, No. 2, pp.137-157.
31. Persson, F. and Olhager, J. (2002) ‘Performance simulation of supply chain designs’, International Journal of Production Economics, Vol. 77, pp.231-245.
32. Reiner, G. (2005) ‘Customer-oriented improvement and evaluation of supply chain processes supported by simulation models’, International Journal of Production Economics, Vol. 96, pp.381-395.
33. Srinivasa Raghavan, N.R. (2001) ‘Generalized queuing network analysis of integrated supply chains’, International Journal of Production Research, Vol. 39, No. 2, pp.205-224.
34. Tekin, E. and Ihsan, S. (2004) ‘Simulation optimization: a comprehensive review on theory and applications’, IIE Transactions, Vol. 36, pp.1067-1081.
35. Tsai, C.S. (2002) ‘Evaluation and optimization of integrated manufacturing system operations using Taguch’s experiment design in computer simulation’, Computers and Industrial Engineering, Vol. 43, pp.591-604.
36. Wang, Q. and Ingham, N. (2008) ‘A discrete event modeling approach for supply chain simulation’, International Journal of Simulation Modeling, Vol. 7, No. 3, pp.124-134.
37. Williams, T.M. (1984) ‘Special products and uncertainty in production/inventory systems’, European Journal of Operational Research, Vol. 15, pp.46-54.
38. Woon, K.N., Piplani, R. and Viswanathan, S. (2003) ‘Simulation workbench for analyzing multi-echelon supply chains’, Integrated Manufacturing Systems, Vol. 14, No. 5, pp.449-457.
39. Yang, T. and Tseng, L. (2002) ‘Solving a multi-objective simulation model using a hybrid response surface method and a lexicographical goal programming approach-a case study on integrated circuit ink-marking machines’, European Journal of Operational Research, Vol. 53, pp.211-221.