A particle swarm optimization for solving joint pricing and lot-sizing problem with fluctuating demand and trade credit financing
學年 99
學期 2
出版（發表）日期 2011-02-01
作品名稱 A particle swarm optimization for solving joint pricing and lot-sizing problem with fluctuating demand and trade credit financing
作品名稱（其他語言）
著者 Dye, Chung-Yuan; Ouyang, Liang-Yuh
單位 淡江大學管理科學學系
出版者
著錄名稱、卷期、頁數 Computers & Industrial Engineering 60(1), pp.127–137
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.
關鍵字 Inventory; Time-varying demand; Deteriorating items; Trade credit financing; Particle swarm optimization
語言 en
ISSN 0360-8352
期刊性質 國外
收錄於 SCI EI
產學合作
通訊作者 Dye, Chung-Yuan
審稿制度
國別 GBR
公開徵稿
出版型式 紙本
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