Title :
Evaluating emergency lateral transshipment policies using simulation-based approaches
Author :
Hachicha, Walid ; Afli, Abdelfatteh ; Elleuch, Fadwa
Author_Institution :
Unit of Mech., Modeling & Production (U2MP), Eng. Sch. of Sfax, Sfax, Tunisia
Abstract :
This paper deals with a lateral transshipment models involving two-echelon supply chain network, with a single supplier at the higher echelon and two retail locations at the lower. Lateral transshipment is considered as an option at each reorder decision under the periodic review standard (R, s, S) replenishment policy. The purpose of this paper is twofold. Firstly, a metamodel-based simulation optimization approach is applied to find the optimal values of s and S, for each retailer. Secondly, a series of simulation experiments are performed to find the best transshipment policy, in terms of smallest total cost and disservice rate. The tested policies are no pooling, complete pooling and various partial pooling policies according to what the threshold levels of physical stock are selected. An important finding is that each tested transshipment policy is considerably superior to a policy of no such transshipments, although at the expense of increased transportation activity. The best transshipment policy is such partial pooling with exactly s as the well-chosen value of the threshold level. Partial pooling is very interesting transshipment policy and should be further addressed in future research.
Keywords :
costing; emergency services; goods distribution; optimisation; supply chain management; complete pooling policies; disservice rate; emergency lateral transshipment policies; metamodel-based simulation optimization approach; no pooling policies; partial pooling policies; periodic review standard replenishment policy; physical stock threshold levels; reorder decision; retail locations; simulation-based approaches; single supplier; tested transshipment policy; total cost; transportation activity; two-echelon supply chain network; Analytical models; Computational modeling; Mathematical model; Optimization; Software; Stochastic processes; Supply chains; Desirability function approach; S) replenishment policy; discrete event simulation; emergency transshipment; metamodel-based simulation; periodic (R; pooling; s;
Conference_Titel :
Advanced Logistics and Transport (ICALT), 2013 International Conference on
Conference_Location :
Sousse
Print_ISBN :
978-1-4799-0314-6
DOI :
10.1109/ICAdLT.2013.6568504