2006
DOI: 10.1016/j.ejor.2005.06.004
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Multi-location transshipment problem with capacitated transportation

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Cited by 49 publications
(18 citation statements)
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“…Ozdemir et al [19] incorporate transportation capacity such that transshipment quantities between stocking locations are bounded due to transportation availability or the locations' transshipment policy. They develop a procedure based on simulation and infinitesimal perturbation analysis to solve the stochastic optimization problem, where the objective is to minimize the expected total cost of inventory, shortage, and transshipments.…”
Section: Related Researchmentioning
confidence: 99%
See 1 more Smart Citation
“…Ozdemir et al [19] incorporate transportation capacity such that transshipment quantities between stocking locations are bounded due to transportation availability or the locations' transshipment policy. They develop a procedure based on simulation and infinitesimal perturbation analysis to solve the stochastic optimization problem, where the objective is to minimize the expected total cost of inventory, shortage, and transshipments.…”
Section: Related Researchmentioning
confidence: 99%
“…As mentioned in assumption 7, re-order points, s i , is defined as a percentage (P i ) of S i [19]. For instance, if the P i is 50% in a PL then s i = 0.5 ⁄ S i .…”
Section: Problem Description and Simulation Modelingmentioning
confidence: 99%
“…Herer and Tzur [14] and Herer et al [16] verified the type of optimal replenishment policies for a system of one supplier and heterogeneous retailers with different demand parameters and cost structures. Ozdemir et al [22] provided a numerical method for achieving optimal replenishing and transshipping solutions for heterogeneous retailers with transportation capacity constraints. Different from asymmetric transshipment problems that focus on the optimal inventory replenishment tactics over infinite time horizon, this research aims to characterize the inventory allocation model with finite planning horizons.…”
Section: Previous Literaturementioning
confidence: 99%
“…Literature identifies mainly two transshipment configurations [6]: (1) emergency transshipment where the product transfer is made at the end of the period after observing the customer demands and (2) preventive transshipment where the product redistribution is realized at the beginning of the period [7]. Concerning the transshipment problem parameters, we can identify mainly the three following categories: (a) replenishment parameters such as the replenishment lead times [8] and the replenishment fixed cost [9], (b) transfer parameters such as the transshipment mean capacity [10] and the transshipment lead times [11] and (c) environment parameters such as the number of locations [12], the number of periods [6] and the customer demands [7,12,8,5]. The only uncertain parameter considered in these works is the customer demands.…”
Section: Introductionmentioning
confidence: 99%