Two storage inventory problem with dynamic demand and interval valued lead-time over finite time horizon under inflation and time-value of money

被引:77
作者
Dey, Jayanta Kumar [1 ]
Mondal, Shyamal Kumar
Maiti, Manoranjan
机构
[1] Mahishadal Raj Coll, Dept Math, Mahishadal 721628, E Midnapore, India
[2] Vidyasagar Univ, Dept Appl Math Oceanol & Comp Programming, Midnapore 721102, India
关键词
interval valued lead-time; interval numbers; multi-objective inventory model; two warehouse; inflation and time value of money; finite time horizon; multi-objective genetic algorithm;
D O I
10.1016/j.ejor.2006.12.037
中图分类号
C93 [管理学];
学科分类号
12 ; 1201 ; 1202 ; 120202 ;
摘要
A finite time horizon inventory problem for a deteriorating item having two separate warehouses, one is a own warehouse (OW) of finite dimension and other a rented warehouse (RW), is developed with interval-valued lead-time under inflation and time value of money. Due to different preserving facilities and storage environment, inventory holding cost is considered to be different in different warehouses. The demand rate of item is increasing with time at a decreasing rate. Shortages are allowed in each cycle and backlogged them partially. Shortages may or may not be allowed in the last cycle and under this circumstance, there may be three different types of model. Here it is assumed that the replenishment cycle lengths are of equal length and the stocks of RW are transported to OW in continuous release pattern. For each model, different scenarios are depicted depending upon the re-order point for the next lot. Representing the lead-time by an interval number and using the interval arithmetic, the single objective function for profit is changed to corresponding multi-objective functions. These functions are maximized and solved by Fast and Elitist Multi-objective Genetic Algorithm (FEMGA). The models are illustrated numerically and the results are presented in tabular form. (c) 2007 Elsevier B.V. All rights reserved.
引用
收藏
页码:170 / 194
页数:25
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