Deterministic ordering policy with price- and stock-dependent demand under fluctuating cost and limited capacity

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摘要

In this paper, we extend the classical economic order quantity model to allow for the demand rate influenced by both selling price and displayed stock level. A finite period system is considered under inflation for deteriorating items. In addition, we impose a ceiling on the number of on-display stocks. We also allow for shortages and general partial backlogging. The objective is to maximize the discounted total profit by finding the optimal replenishment number, replenishment schedule and selling price changed periodically. An effective search procedure is provided to find the optimal solution by employing the properties derived in this paper and particle swarm optimization algorithm. Several numerical examples are used to illustrate the features of the proposed model.

论文关键词:Pricing,Stock-dependent demand,Limited capacity,Fluctuating cost,Particle swarm optimization

论文评审过程:Available online 13 June 2011.

论文官网地址:https://doi.org/10.1016/j.eswa.2011.05.049