Distribution network optimization in the uniform rental industry

Thesis: M. Eng. in Logistics, Massachusetts Institute of Technology, Engineering Systems Division, 2015. === Cataloged from PDF version of thesis. === Includes bibliographical references (pages 41-42). === Optimization models are a commonly used tool to identify cost efficient network flows. Complex...

Full description

Bibliographic Details
Main Authors: Chopyak, Ann-Marie, Lee, Haotian
Other Authors: Bruce C. Arntzen.
Format: Others
Language:English
Published: Massachusetts Institute of Technology 2015
Subjects:
Online Access:http://hdl.handle.net/1721.1/100081
id ndltd-MIT-oai-dspace.mit.edu-1721.1-100081
record_format oai_dc
spelling ndltd-MIT-oai-dspace.mit.edu-1721.1-1000812019-05-02T16:02:16Z Distribution network optimization in the uniform rental industry Chopyak, Ann-Marie Lee, Haotian Bruce C. Arntzen. 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, 2015. Cataloged from PDF version of thesis. Includes bibliographical references (pages 41-42). Optimization models are a commonly used tool to identify cost efficient network flows. Complexity increases when various products move across different paths and transportation modes within one network. To address the challenges posed by this complexity, this thesis develops a mixed integer linear programming model for a uniform rental company. The company's product families are routed through intermediary distribution centers, while others bypass these points and move directly to a regional distribution center. Various simulations were run with the objective of minimizing fixed costs, warehousing, inventory and transportation expenses. The function was constrained by flow balance, demand and capacity constraints. The optimal solution proposed a network that used less facilities than currently operated within the company, and some in new locations due to transportation cost savings. As volume increased, the network structure continued to shift further from the company's current structure. Demand increased the influence of variable rates, while transportation lane rates were a significant factor in every version of the model run. by Ann-Marie Chopyak and Haotian Lee. M. Eng. in Logistics 2015-12-03T20:52:14Z 2015-12-03T20:52:14Z 2015 2015 Thesis http://hdl.handle.net/1721.1/100081 928939179 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 43 pages application/pdf Massachusetts Institute of Technology
collection NDLTD
language English
format Others
sources NDLTD
topic Engineering Systems Division.
spellingShingle Engineering Systems Division.
Chopyak, Ann-Marie
Lee, Haotian
Distribution network optimization in the uniform rental industry
description Thesis: M. Eng. in Logistics, Massachusetts Institute of Technology, Engineering Systems Division, 2015. === Cataloged from PDF version of thesis. === Includes bibliographical references (pages 41-42). === Optimization models are a commonly used tool to identify cost efficient network flows. Complexity increases when various products move across different paths and transportation modes within one network. To address the challenges posed by this complexity, this thesis develops a mixed integer linear programming model for a uniform rental company. The company's product families are routed through intermediary distribution centers, while others bypass these points and move directly to a regional distribution center. Various simulations were run with the objective of minimizing fixed costs, warehousing, inventory and transportation expenses. The function was constrained by flow balance, demand and capacity constraints. The optimal solution proposed a network that used less facilities than currently operated within the company, and some in new locations due to transportation cost savings. As volume increased, the network structure continued to shift further from the company's current structure. Demand increased the influence of variable rates, while transportation lane rates were a significant factor in every version of the model run. === by Ann-Marie Chopyak and Haotian Lee. === M. Eng. in Logistics
author2 Bruce C. Arntzen.
author_facet Bruce C. Arntzen.
Chopyak, Ann-Marie
Lee, Haotian
author Chopyak, Ann-Marie
Lee, Haotian
author_sort Chopyak, Ann-Marie
title Distribution network optimization in the uniform rental industry
title_short Distribution network optimization in the uniform rental industry
title_full Distribution network optimization in the uniform rental industry
title_fullStr Distribution network optimization in the uniform rental industry
title_full_unstemmed Distribution network optimization in the uniform rental industry
title_sort distribution network optimization in the uniform rental industry
publisher Massachusetts Institute of Technology
publishDate 2015
url http://hdl.handle.net/1721.1/100081
work_keys_str_mv AT chopyakannmarie distributionnetworkoptimizationintheuniformrentalindustry
AT leehaotian distributionnetworkoptimizationintheuniformrentalindustry
_version_ 1719033153134264320