Inventory positioning for a multi-echelon distribution network
Thesis (M. Eng. in Logistics)--Massachusetts Institute of Technology, Engineering Systems Division, 2009.
Main Authors: | , |
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Format: | Thesis |
Language: | eng |
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Massachusetts Institute of Technology
2010
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Online Access: | http://hdl.handle.net/1721.1/55338 |
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author | Avari, Deepak Dayal, Naman |
author2 | Amanda Schmitt. |
author_facet | Amanda Schmitt. Avari, Deepak Dayal, Naman |
author_sort | Avari, Deepak |
collection | MIT |
description | Thesis (M. Eng. in Logistics)--Massachusetts Institute of Technology, Engineering Systems Division, 2009. |
first_indexed | 2024-09-23T13:56:19Z |
format | Thesis |
id | mit-1721.1/55338 |
institution | Massachusetts Institute of Technology |
language | eng |
last_indexed | 2024-09-23T13:56:19Z |
publishDate | 2010 |
publisher | Massachusetts Institute of Technology |
record_format | dspace |
spelling | mit-1721.1/553382019-04-10T08:42:36Z Inventory positioning for a multi-echelon distribution network Avari, Deepak Dayal, Naman Amanda Schmitt. Massachusetts Institute of Technology. Engineering Systems Division. Massachusetts Institute of Technology. Engineering Systems Division. Engineering Systems Division. Thesis (M. Eng. in Logistics)--Massachusetts Institute of Technology, Engineering Systems Division, 2009. Includes bibliographical references (leaf 60). This thesis presents a framework for deciding which products to centralize in a regional distribution center and which products to store decentralized close to the customer sites, for each facility in a multi-echelon distribution network. Our research specifically focuses on developing an optimization model to determine the inventory positioning strategy that minimizes total costs. The model considers both inbound and outbound transportation costs along with inventory holding costs at all facilities in the network. The total cost and responsiveness of the optimal solution are compared with the baseline network, in which inventory is completely decentralized. Our analysis is performed using several products that have diverse characteristics, in terms of demand patterns, lead-times, product costs, service-level requirements, transportation modes, and supplier locations. A sensitivity analysis is performed to study how a variance in these parameters affects the optimal solution. The research suggests that for high volume commodity items the benefits of centralization are highly dependent upon the degree of lane consolidation. However, for low volume specialty items, centralization can provide immediate benefits with no change to the existing transportation network. by Deepak Avari and Naman Dayal. M.Eng.in Logistics 2010-05-27T19:48:23Z 2010-05-27T19:48:23Z 2009 2009 Thesis http://hdl.handle.net/1721.1/55338 497110585 eng M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission. http://dspace.mit.edu/handle/1721.1/7582 75 leaves application/pdf Massachusetts Institute of Technology |
spellingShingle | Engineering Systems Division. Avari, Deepak Dayal, Naman Inventory positioning for a multi-echelon distribution network |
title | Inventory positioning for a multi-echelon distribution network |
title_full | Inventory positioning for a multi-echelon distribution network |
title_fullStr | Inventory positioning for a multi-echelon distribution network |
title_full_unstemmed | Inventory positioning for a multi-echelon distribution network |
title_short | Inventory positioning for a multi-echelon distribution network |
title_sort | inventory positioning for a multi echelon distribution network |
topic | Engineering Systems Division. |
url | http://hdl.handle.net/1721.1/55338 |
work_keys_str_mv | AT avarideepak inventorypositioningforamultiechelondistributionnetwork AT dayalnaman inventorypositioningforamultiechelondistributionnetwork |