Consolidation strategies for the delivery of perishable products

被引:40
|
作者
Nguyen, Christine [1 ]
Dessouky, Maged [1 ]
Toriello, Alejandro [2 ]
机构
[1] Univ So Calif, Daniel J Epstein Dept Ind & Syst Engn, Los Angeles, CA 90089 USA
[2] Georgia Inst Technol, H Milton Stewart Sch Ind & Syst Engn, Atlanta, GA 30332 USA
基金
美国国家科学基金会;
关键词
Consolidation; Perishable products; Stochastic dynamic programming; Cost allocation; Freight transportation; LOT-SIZING PROBLEM; JOINT REPLENISHMENT; COST ALLOCATION; ONE-WAREHOUSE; SUPPLY CHAIN; INVENTORY; ALGORITHM; POLICY; MODEL; TRANSPORTATION;
D O I
10.1016/j.tre.2014.05.018
中图分类号
F [经济];
学科分类号
02 ;
摘要
A set of agricultural suppliers with low demands can save on long-haul transportation costs by consolidating their product. We consider a system with stochastic demand and a single consolidation point near the suppliers. We propose a look-ahead heuristic that takes advantage of economies of scale by aiming to ship larger quantities. We experimentally compare the heuristic's performance against other simple policies, a rolling horizon algorithm, and a stochastic dynamic programming model. Our numerical results demonstrate that the heuristic provides solutions that are near the lower bound provided by the dynamic programming model, and that the benefits of consolidating depend on the size of the suppliers' demand. We also propose a proportional cost allocation rule that encourages the suppliers to cooperate with each other instead of operating independently. (C) 2014 Elsevier Ltd. All rights reserved.
引用
收藏
页码:108 / 121
页数:14
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