淡江大學機構典藏:Item 987654321/59531

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    题名: A particle swarm optimization for solving joint pricing and lot-sizing problem with fluctuating demand and trade credit financing
    作者: Dye, Chung-Yuan;Ouyang, Liang-Yuh
    贡献者: 淡江大學管理科學學系
    关键词: Inventory;Time-varying demand;Deteriorating items;Trade credit financing;Particle swarm optimization
    日期: 2011-02
    上传时间: 2011-10-04 15:41:19 (UTC+8)
    摘要: Pricing is a major strategy for a retailer to obtain its maximum profit. Furthermore, under most market behaviors, one can easily find that a vendor provides a credit period (for example 30 days) for buyers to stimulate the demand, boost market share or decrease inventories of certain items. Therefore, in this paper, we establish a deterministic economic order quantity model for a retailer to determine its optimal selling price, replenishment number and replenishment schedule with fluctuating demand under two levels of trade credit policy. A particle swarm optimization is coded and used to solve the mixed-integer nonlinear programming problem by employing the properties derived in this paper. Some numerical examples are used to illustrate the features of the proposed model.
    關聯: Computers & Industrial Engineering 60(1), pp.127–137
    DOI: 10.1016/j.cie.2010.10.010
    显示于类别:[管理科學學系暨研究所] 期刊論文

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