Simulation of the performance of production strategies for the ELSP under different scenarios of complexity depending on the number of items and utilization

Authors

  • Raul Cortes Fibla Universitat Politècnica de València
  • Pilar I. Vidal-Carreras Universitat Politècnica de València
  • Jose P. Garcia-Sabater Universitat Politècnica de València

DOI:

https://doi.org/10.4995/wpom.v5i2.3152

Keywords:

ELSP, Complexity, Uncertainty, Simulation, Scheduling

Abstract

This study analyzes the behavior of various production strategies for the ELSP, depending on the context of complexity and uncertainty in which they are used. We analyzed the performance of various heuristics designed for the classical ELSP problem.We evaluated total cost in different scenarios with respect to the number of items and the utilization level. The simulation results show a direct relationship between the performance of the strategies, and therefore their suitability, and the production environment. Furthermore, we have proven that the variation in performance does not follow the same pattern for each strategy, which reinforces the significance of this study in the process of designing a production strategy for the ELSP.

 

Downloads

Download data is not yet available.

Author Biography

Raul Cortes Fibla, Universitat Politècnica de València

Departamento de Organización de empresas

References

Allahverdi, A.; Ng, C. T.; Cheng, T. C. E.; Kovalyov, M. Y. (2008). A survey of scheduling problems with setup times or costs. European Journal of Operational Research, Vol. 187, No. 3, pp. 985-1032. http://dx.doi.org/10.1016/j.ejor.2006.06.060

Bomberger, E. E. (1966). A dynamic programming approach to a lot size scheduling problem. Management Science, Vol. 12, No. 11, p. 778. http://dx.doi.org/10.1287/mnsc.12.11.778

Brander, P.; Forsberg, R. (2006). Determination of safety stocks for cyclic schedules with stochastic demands. International Journal of Production Economics, Vol. 104, No. 2, pp. 271-295. http://dx.doi.org/10.1016/j.ijpe.2004.11.009

Brander, P.; Leven, E.; Segerstedt, A. (2005). Lot sizes in a capacity constrained facility - a simulation study of stationary stochastic demand. International Journal of Production Economics, Vol. 93-94, pp. 375-386. http://dx.doi.org/10.1016/j.ijpe.2004.06.034

Chan, H. K.; Chung, S. H.; Lim, M. K. (2013). Recent research trend of economic-lot scheduling problems. Journal of Manufacturing Technology Management, Vol. 24, No. 3, pp. 465-482. http://dx.doi.org/10.1108/17410381311318936

Frizelle, G. D. M. (1996). Getting the measure of complexity. Manufacturing Engineer, Vol. 75, No. 6, pp. 268-270. http://dx.doi.org/10.1049/me:19960606

Hsu, W. L. (1983). On the General Feasibility Test of Scheduling Lot Sizes for Several Products on One Machine. Management Science, Vol. 29, No. 1, pp. 93-105. http://dx.doi.org/10.1287/mnsc.29.1.93

Magee, J. F.; Boodman, D. M. (1967). Production Planning and inventory control, Second ed. Mcgraw Hill

Soman, C. A.; Pieter van Donk, D.; Gaalman, G. (2006). Comparison of dynamic scheduling policies for hybrid make-to-order and make-to-stock production systems with stochastic demand. International Journal of Production Economics, Vol. 104, No. 2, pp. 441-453. http://dx.doi.org/10.1016/j.ijpe.2004.08.002

Sox, C. R.; Jackson, P. L.; Bowman, A.; Muckstadt, J. A. (1999). A review of the stochastic lot scheduling problem. International Journal of Production Economics, Vol. 62, No. 3, pp. 181-200. http://dx.doi.org/10.1016/S0925-5273(98)00247-3

Vaughan, T. S. (2007). Cyclical schedules vs. dynamic sequencing: Replenishment dynamics and inventory efficiency. International Journal of Production Economics, Vol. 107, No. 2, pp. 518-527. http://dx.doi.org/10.1016/j.ijpe.2006.10.010

Vergin, R. C.; Lee, T. N. (1978). Scheduling Rules for Multiple Product Single Machine System with Stochastic Demand. Infor, Vol. 16, No. 1, pp. 64-73.

Winands, E. M. M.; Adan, I. J. B. F.; van Houtum, G. J. (2011). The stochastic economic lot scheduling problem: A survey. European Journal of Operational Research, Vol. 210, No. 1, pp. 1-9. http://dx.doi.org/10.1016/j.ejor.2010.06.011

Yao, M. J.; Huang, J. X. (2005). Solving the economic lot scheduling problem with deteriorating items using genetic algorithms. Journal of Food Engineering, Vol. 70, No. 3, pp. 309-322. http://dx.doi.org/10.1016/j.jfoodeng.2004.05.077

Downloads

Published

2014-12-23

How to Cite

Cortes Fibla, R., Vidal-Carreras, P. I., & Garcia-Sabater, J. P. (2014). Simulation of the performance of production strategies for the ELSP under different scenarios of complexity depending on the number of items and utilization. WPOM-Working Papers on Operations Management, 5(2), 15–23. https://doi.org/10.4995/wpom.v5i2.3152

Issue

Section

Research Articles

Most read articles by the same author(s)

1 2 > >>