Supply chain delivery performance improvement for several delivery time distributions
by Maxim A. Bushuev; Alfred L. Guiffrida; Tatiana Rudchenko
International Journal of Operational Research (IJOR), Vol. 33, No. 4, 2018

Abstract: This paper investigates strategies for improving supply chain delivery performance when the cumulative density function of the delivery time distribution exists in closed form. Delivery performance is measured using a cost-based analytical model which evaluates the expected cost for early and late delivery. The effect of changes to the parameters of the delivery time distribution on the expected cost of untimely delivery is explored. Strategies for improving delivery performance utilising the mean and variance of the delivery time distribution are studied for the uniform, exponential, and logistic delivery time distributions when a supplier uses an optimally positioned delivery window to minimise the expected cost of untimely delivery. Theoretical and managerial implications of the findings are discussed.

Online publication date: Wed, 05-Dec-2018

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 Operational Research (IJOR):
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