Journal
INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE
Volume 44, Issue 6, Pages 1026-1039Publisher
TAYLOR & FRANCIS LTD
DOI: 10.1080/00207721.2011.652224
Keywords
inventory; time-varying demand; deterioration; preservation technology investment; particle swarm optimisation
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Funding
- National Science Council of the Republic of China [NSC-100-2221-E-366-006]
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In most of the inventory models in the literature, the deterioration rate of goods is viewed as an exogenous variable, which is not subject to control. In the real market, the retailer can reduce the deterioration rate of product by making effective capital investment in storehouse equipments. In this study, we formulate a deteriorating inventory model with time-varying demand by allowing preservation technology cost as a decision variable in conjunction with replacement policy. The objective is to find the optimal replenishment and preservation technology investment strategies while minimising the total cost over the planning horizon. For any given feasible replenishment scheme, we first prove that the optimal preservation technology investment strategy not only exists but is also unique. Then, a particle swarm optimisation is coded and used to solve the nonlinear programming problem by employing the properties derived from this article. Some numerical examples are used to illustrate the features of the proposed model.
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