Quantifying the impact of deployment practices on interplant freight volatility
Name
927312579-MIT.pdf
Description
Full printable version
Size
7.01 MB
Format
Adobe PDF
Checksum (MD5)
3eeafff25a0bf9fed38b6dd4ec22255f
Author(s)
Ma, Kurn
Kumar, Manish
Advisor(s)
Roberto Perez-Franco.
Date Issued
2015
Publisher
Massachusetts Institute of Technology
Abstract
As the US economy recovers from the recession of 2008, demand for freight transportation is getting stronger. However, the trucking industry is not ready to take on this growth in volume due to a shortage of truck drivers. From a shipper's perspective, availability of transportation is an important concern that needs to be addressed to ensure customer satisfaction, realize growth and keep costs down. Shippers can enhance their carriers' ability to provide consistent trucking capacity by reducing the variability of freight demand. This thesis creates a simulation model of deployment processes at a consumer packaged goods company to evaluate relationship between transportation variability and various management levers. Through the analysis of the simulation runs, the effects of management levers on the freight volatility are quantified. The findings of the research show that actively limiting the truckloads sent downstream, and thus eliminating the freight volatility through internal policies is a potential solution. The thesis concludes by presenting the benefits and trade-offs of this approach on the logistics costs of the sponsor company. If the company sticks to the current policy of immediate shipment as the need arises, the thesis shows that the best deployment schedule is a bi-weekly one.
Description
Thesis: M. Eng. in Logistics, Massachusetts Institute of Technology, Engineering Systems Division, 2015.
Cataloged from PDF version of thesis.
Includes bibliographical references (pages 45-46).
Subjects
Engineering Systems Division.
MIT Department
Massachusetts Institute of Technology. Engineering Systems Division
Terms of Use
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