Show/Hide Menu
Hide/Show Apps
anonymousUser
Logout
Türkçe
Türkçe
Search
Search
Login
Login
OpenMETU
OpenMETU
About
About
Açık Bilim Politikası
Açık Bilim Politikası
Frequently Asked Questions
Frequently Asked Questions
Browse
Browse
By Issue Date
By Issue Date
Authors
Authors
Titles
Titles
Subjects
Subjects
Communities & Collections
Communities & Collections
The One-Warehouse Multiretailer Problem with an Order-Up-To Level Inventory Policy
Date
2010-10-01
Author
Solyali, Oguz
Süral, Haldun
Denizel, Meltem
Metadata
Show full item record
This work is licensed under a
Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License
.
Item Usage Stats
2
views
0
downloads
We consider a two-level system in which a warehouse manages the inventories of multiple retailers. Each retailer employs an order-up-to level inventory policy over T periods and faces an external demand which is dynamic and known. A retailer's inventory should be raised to its maximum limit when replenished. The problem is to jointly decide on replenishment times and quantities of warehouse and retailers so as to minimize the total costs in the system. Unlike the case in the single level lot-sizing problem, we cannot assume that the initial inventory will be zero without loss of generality. We propose a strong mixed integer program formulation for the problem with zero and nonzero initial inventories at the warehouse. The strong formulation for the zero initial inventory case has only T binary variables and represents the convex hull of the feasible region of the problem when there is only one retailer. Computational results with a state-of-the art solver reveal that our formulations are very effective in solving large-size instances to optimality. (C) 2010 Wiley Periodicals, Inc. Naval Research Logistics 57: 653-666, 2010
Subject Keywords
Management Science and Operations Research
,
Modelling and Simulation
,
Ocean Engineering
URI
https://hdl.handle.net/11511/38625
Journal
NAVAL RESEARCH LOGISTICS
DOI
https://doi.org/10.1002/nav.20428
Collections
Department of Industrial Engineering, Article