A constrained multi-product pricing and inventory control problem

被引：23

作者：

Shavandi, Hassan ^{[1
]}

Mahlooji, Hashem ^{[1
]}

Nosratian, Nasim Ekram ^{[2
]}

机构：

[1] Sharif Univ Technol, Dept Ind Engn, Tehran, Iran

[2] Islamic Azad Univ, Sci & Res Branch, Dept Ind Engn, Tehran, Iran

来源：

APPLIED SOFT COMPUTING | 2012年 / 12卷 / 08期

关键词：

Pricing; Multi-product inventory control; Genetic algorithm; Taguchi experimental design method; TIME-VARYING DEMAND; EOQ MODEL; LOT-SIZE; DETERIORATING INVENTORY; FINITE PRODUCTION; LOST SALE; PERISHABILITY;

D O I：

10.1016/j.asoc.2012.03.036

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

The aim of this article is presenting a new constrained multi-product pricing and inventory model in which perishable products are put into three categories: substitute, complementary and independent. The general demand is found by considering the relations of different products and the impact of their prices. The goal of the model is deciding on the prices as well as the inventory and production decisions in order to maximize the total profit. The derived model is a non-linear programming model and a genetic algorithm is developed for its solution. To enhance the performance of our genetic algorithm, we apply the Taguchi experimental design method to tune the parameters of the algorithm. Finally, the computational results and some recommendations for future extensions are presented. (C) 2012 Elsevier B. V. All rights reserved.

引用

页码：2454 / 2461

页数：8

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