A new solution method for joint replenishment problem. (1st December 2008)

• Record Type: Journal Article
• Authors: Yoo, Myungryun; Lin, Lin
• Is Part Of: International journal of manufacturing technology and management. Volume 16:Number 1/2(2009)
• Page Start: 166
• Page End: 175
• Publication Date: 2008-12-01
• Subjects: joint replenishment problem -- JRP -- multisupplier -- genetic algorithms -- GAs -- simulated annealing -- simulation; Manufacturing processes -- Periodicals; Manufacturing processes -- Automation -- Periodicals; Production management -- Periodicals; 670.427068
• Languages: English
• ISSNs: 1368-2148

Abstract

In this paper, we propose a new approach for the Joint Replenishment Problem (JRP) where items are procured from multisupplier. In solution algorithms, Genetic Algorithm (GA) and Simulated Annealing (SA) are cooperatively used. In the new method, the convergence of GA is improved by introducing the probability of SA as the criterion for acceptance of new trial solution. The purpose of an algorithm proposed in this paper is to minimise the total relevant costs per unit time. The effectiveness of the new algorithm for the JRP is shown through a simulation study.