Altruistic behaviour in a two-echelon supply chain with unmatched proportional feedback controllers
by Stephen M. Disney, Takamichi Hosoda
International Journal of Intelligent Systems Technologies and Applications (IJISTA), Vol. 6, No. 3/4, 2009

Abstract: We study a two-echelon supply chain with first order autoregressive demand and unit replenishment lead-times. Each echelon of the supply chain uses conditional expectation to generate Minimum Mean Squared Error forecasts. Both echelons use these forecasts inside the 'Order-Up-To' policy to generate replenishment orders. We investigate three different scenarios. The first is when each echelon aims to minimise their own local inventory holding and backlog costs. The second scenario is concerned with an altruistic retailer who is willing and able to sacrifice some of his own performance for the benefit of the total supply chain. The retailer does this by smoothing the demand placed on the manufacturer by using a matched proportional controller in the inventory and Work-In-Progress feedback loops. The third scenario is concerned with an altruistic retailer with two, unmatched controllers. The matched controller case outperforms the traditional case by 14.1%; the unmatched controller case outperforms the matched controller case by 4.9%.

Online publication date: Mon, 30-Mar-2009

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 Intelligent Systems Technologies and Applications (IJISTA):
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