Massachusetts Institute of Technology
Distribution network optimization in the uniform rental industry
Abstract
dc:description.abstractOptimization 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.
Degree
thesis:*- Department dc:contributor.department
- Massachusetts Institute of Technology. Engineering Systems Division.
- Grantor dc:publisher
- Massachusetts Institute of Technology
- Year dc:date.issued
- 2015
Author and committee
dc:creator, dc:contributor.*- Authors dc:creator
-
- Chopyak, Ann-Marie
- Lee, Haotian
- Advisor dc:contributor.advisor
-
- Bruce C. Arntzen.
Subjects
dc:subject × 1Rights
dc:rights- Statement dc:rights
-
- 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.
- Licence dc:rights.uri
- Language dc:language.iso
- eng
Identifiers
dc:identifier.*- Handle dc:identifier.uri
- http://hdl.handle.net/1721.1/100081
- OAI identifier oai:identifier
- oai:dspace.mit.edu:1721.1/100081