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A particle swarm optimization for solving joint pricing and lot-sizing problem with fluctuating demand and unit purchasing cost

✍ Scribed by Chung-Yuan Dye; Tsu-Pang Hsieh

Publisher: Elsevier Science
Year: 2010
Tongue: English
Weight: 602 KB
Volume: 60
Category: Article
ISSN: 0898-1221
DOI: 10.1016/j.camwa.2010.07.023

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✦ Synopsis

In this paper, we extend the classical economic order quantity model to allow for not only a function of price-dependent and time-varying demand but also fluctuating unit purchasing cost. The joint replenishment problem is subject to continuous decay and a general partial backlogging rate. The objective is to find the optimal replenishment number, time scheduling and periodic selling price to maximize the discounted total profit. 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.

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