A new solution method for joint replenishment problem
by Myungryun Yoo, Lin Lin
International Journal of Manufacturing Technology and Management (IJMTM), Vol. 16, No. 1/2, 2009

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.

Online publication date: Sun, 30-Nov-2008

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Manufacturing Technology and Management (IJMTM):
Login with your Inderscience username and password:

    Username:        Password:         

Forgotten your password?

Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com