A bi-level inventory replenishment strategy using clustering genetic algorithm
by Ming-Chang Lee; Hui-Ming Wee; Simon Wu; C. Edward Wang; Rih-Lung Chung
European J. of Industrial Engineering (EJIE), Vol. 9, No. 6, 2015

Abstract: Even though bi-level strategy has many real life applications, it has not received very much attention in the inventory management literature. A typical bi-level strategy is when an enterprise has to react to a more powerful decision-making agency (a dominant leader) such as the government. In this paper, we formulate and solve a single vendor-buyer inventory replenishment problem using a bi-level programming technique. The two scenarios considered are: 1) the supplier as a dominant leader; 2) the buyer as a dominant leader. A bi-level clustering genetic algorithm is utilised to solve the problem. We implement a numerical experiment using the data from a reference with integrated replenishment policy model and compared the performance of our model and the reference model. The computational results show that the net profit of the vendor and buyer under the bi-level strategy is higher than that under the integrated replenishment policy. We also show that the performance between the bi-level strategy and the integrated replenishment policy is sensitive to the purchasing cost and the market price. [Received 15 April 2012; Revised 20 June 2013; Revised 31 January 2014; Revised 26 July 2014; Accepted 27 October 2014]

Online publication date: Tue, 26-Jan-2016

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 European J. of Industrial Engineering (EJIE):
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