Transportation Science
HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS
 QUICK SEARCH:   [advanced]


     


TRANSPORTATION SCIENCE
Vol. 43, No. 2, May 2009, pp. 244-264
DOI: 10.1287/trsc.1080.0237
This Article
Right arrow Full Text (PDF)
Right arrow References
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Alert me to new issues of the journal
Right arrow Download to citation manager
Right arrow reprints & permissions
Citing Articles
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Hwang, H.-C.
Right arrow Search for Related Content

Inventory Replenishment and Inbound Shipment Scheduling Under a Minimum Replenishment Policy

Hark-Chin Hwang

Department of Industrial Engineering, Chosun University, Dong-Gu, Gwangju 501-759, South Korea
hchwang{at}chosun.ac.kr

An effective supply system for a vendor-managed inventory (VMI) warehouse requires collaboration between a supplier and a customer, and coordination between production and distribution functions. We study a dynamic lot-sizing model for production and inbound transportation to the VMI warehouse under a policy, based on mutual benefit of the supplier and the customer, that each replenishment quantity should be no less than a predetermined minimum size. To take advantage of economies of scale in replenishment operations as well as in shipment consolidation operations, the problem in this study assumes a concave replenishment cost structure in general for which optimal algorithms are presented. By computational experiments, we show that the most important parameter on the system is the minimum replenishment quantity. We also show that the minimum replenishment policy is successful only when large-size demands are guaranteed based on collaborations.

Key Words: dynamic lot sizing; inventory/production; minimum replenishment quantity; shipment consolidation; logistics
History: Received: February 2007; revised: November 2007; accepted: March 2008.







HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS
Copyright © 2009 by INFORMS.