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Determination of Optimal Shipping Quantity for Perishable Goods under Probabilistic Supply

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Abstract

The problems of shipping and transporting perishable goods are commonly considered in the literature as significant topics, but rarely did researchers adopt a probabilistic point of view in their models. It is common in SCM environments that the participating entities' behaviors are random and unpredictable and so can only be modeled in a probabilistic way. In this paper, we consider the shipping problem of determining the optimal quantity of perishable products with a limited time to be stored in the warehouse. The optimal quantity minimizes the overall operational costs including those of inventory and shipping. We develop a mathematical model, from which the probability distribution function, mean, and variance of the length of the build-up period are derived and we establish a cost function for determining the optimal shipping value.This work was supported by the research fund of Hanyang University (HY-2013-P)

Topics: STRATEGIES, PRODUCTS, SYSTEM, CHAIN
Publisher: HINDAWI PUBLISHING CORPORATION
Year: 2015
DOI identifier: 10.1155/2015/274713
OAI identifier: oai:repository.hanyang.ac.kr:20.500.11754/50037
Provided by: HANYANG Repository
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