A particle swarm optimization for solving joint pricing and lot-sizing problem with fluctuating demand and trade credit financing

淡江大學機構典藏 > 商管學院 > 管理科學學系暨研究所 > 期刊論文 > Item 987654321/59531

jsp.display-item.identifier=請使用永久網址來引用或連結此文件: https://tkuir.lib.tku.edu.tw/dspace/handle/987654321/59531

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

文件中的档案:

档案	描述	大小	格式	浏览次数
A particle swarm optimization for solving joint pricing and lot-sizing problem with fluctuating demand and trade credit financing.pdf		434Kb	Adobe PDF	32	检视/开启
index.html		0Kb	HTML	35	检视/开启

在機構典藏中所有的数据项都受到原著作权保护.

TAIR相关文章