Multi-stop trucking : a study on cost and carrier acceptance

Thesis: M. Eng. in Logistics, Massachusetts Institute of Technology, Supply Chain Management Program, 2016.

Bibliographic Details
Main Authors: Chen, Xiaojia (Xiaojia Amy), Tsai Yang, Shang Lin
Other Authors: Chris Caplice.
Format: Thesis
Language:eng
Published: Massachusetts Institute of Technology 2017
Subjects:
Online Access:http://hdl.handle.net/1721.1/107521
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author Chen, Xiaojia (Xiaojia Amy)
Tsai Yang, Shang Lin
author2 Chris Caplice.
author_facet Chris Caplice.
Chen, Xiaojia (Xiaojia Amy)
Tsai Yang, Shang Lin
author_sort Chen, Xiaojia (Xiaojia Amy)
collection MIT
description Thesis: M. Eng. in Logistics, Massachusetts Institute of Technology, Supply Chain Management Program, 2016.
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spelling mit-1721.1/1075212019-04-11T06:04:46Z Multi-stop trucking : a study on cost and carrier acceptance Chen, Xiaojia (Xiaojia Amy) Tsai Yang, Shang Lin Chris Caplice. Massachusetts Institute of Technology. Engineering Systems Division. Massachusetts Institute of Technology. Supply Chain Management Program. Massachusetts Institute of Technology. Engineering Systems Division. Supply Chain Management Program. Engineering Systems Division. Thesis: M. Eng. in Logistics, Massachusetts Institute of Technology, Supply Chain Management Program, 2016. Cataloged from PDF version of thesis. Includes bibliographical references (pages 90-91). Multi-stop truckload has been gaining importance in recent years as part of a shift away from Less-than-truckload freight. In our research, we sought to understand how the price and carrier behavior vary as the number of stops increases. Rational economic theory says that these shipments will be more expensive, and experience shows that in practice they also tend to get rejected more often. This thesis tested these two likely results together with other factors known for affecting price and rejection rates, such as lead time, clustering of the stops, etc. We used logistics regression to predict the acceptance ratio and ordinary least squares regression to model the price based on historical data. We found that there is an inherent cost associated with multi-stops, which depends on the number of stops and whether the stop is a pick or a drop. The proximity of these stops as well as the stop-off charge can also impact the price. Carrier acceptance and routing guide depth depends on the price structure and load characteristics. As the number of stops increases, it takes longer for a tender to be accepted and the shipment performance also deteriorates with an increased likelihood of late delivery especially if the initial pickup is late. Therefore, companies need to be aware of the hidden costs associated with multi-stop truckloads as they plan their transportation network. by Xiaojia (Amy) Chen and Shang Lin (Peter) Tsai Yang. M. Eng. in Logistics 2017-03-20T19:38:12Z 2017-03-20T19:38:12Z 2016 2016 Thesis http://hdl.handle.net/1721.1/107521 962854317 eng MIT theses are protected by copyright. They may be viewed, downloaded, or printed from this source but further reproduction or distribution in any format is prohibited without written permission. http://dspace.mit.edu/handle/1721.1/7582 91 pages application/pdf Massachusetts Institute of Technology
spellingShingle Supply Chain Management Program.
Engineering Systems Division.
Chen, Xiaojia (Xiaojia Amy)
Tsai Yang, Shang Lin
Multi-stop trucking : a study on cost and carrier acceptance
title Multi-stop trucking : a study on cost and carrier acceptance
title_full Multi-stop trucking : a study on cost and carrier acceptance
title_fullStr Multi-stop trucking : a study on cost and carrier acceptance
title_full_unstemmed Multi-stop trucking : a study on cost and carrier acceptance
title_short Multi-stop trucking : a study on cost and carrier acceptance
title_sort multi stop trucking a study on cost and carrier acceptance
topic Supply Chain Management Program.
Engineering Systems Division.
url http://hdl.handle.net/1721.1/107521
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AT tsaiyangshanglin multistoptruckingastudyoncostandcarrieracceptance