A finite horizon deteriorating inventory model with two-phase pricing and time-varying demand and cost under trade credit financing using particle swarm optimization

被引:49
作者
Dye, Chung-Yuan [1 ]
机构
[1] Shu Te Univ, Grad Sch Business & Adm, Kaohsiung 824, Taiwan
关键词
Inventory; Time-varying demand; Trade credit financing; Particle swarm optimization; ECONOMIC ORDER QUANTITY; OPTIMAL REPLENISHMENT POLICIES; LINEAR TREND; PERMISSIBLE DELAY; LOT-SIZE; EOQ MODEL; ALLOWABLE SHORTAGE; SYSTEM; ITEM; EVOLUTIONARY;
D O I
10.1016/j.swevo.2012.03.002
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
In this paper, we consider a deterministic economic order quantity model with generalized type demand, deterioration and unit purchase cost functions under two levels of trade credit policy. Our objective is to find the optimal values of selling prices, replenishment number and replenishment scheme which maximize the total profit over the finite planning horizon. We establish the inventory system and provide structural properties of the optimal solution that facilitate computation. A particle swarm optimization with constriction factor is coded and used to solve the mixed-integer nonlinear programming problem by employing the properties derived from this paper. At the end, some numerical examples are used to illustrate the features of the proposed model. (C) 2012 Elsevier B.V. All rights reserved.
引用
收藏
页码:37 / 53
页数:17
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