Analysis of truckload prices and rejection rates

Thesis (M. Eng. in Logistics)--Massachusetts Institute of Technology, Engineering Systems Division, 2013.

Bibliographic Details
Main Author: Kim, Yoo Joon
Other Authors: Chris Caplice.
Format: Thesis
Language:eng
Published: Massachusetts Institute of Technology 2013
Subjects:
Online Access:http://hdl.handle.net/1721.1/81098
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author Kim, Yoo Joon
author2 Chris Caplice.
author_facet Chris Caplice.
Kim, Yoo Joon
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description Thesis (M. Eng. in Logistics)--Massachusetts Institute of Technology, Engineering Systems Division, 2013.
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spelling mit-1721.1/810982019-04-12T21:37:40Z Analysis of truckload prices and rejection rates Kim, Yoo Joon Chris Caplice. 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, 2013. Cataloged from PDF version of thesis. Includes bibliographical references (p. 60). Truckload (TL) is the principle mode of freight transportation in the United Sates. Buyers of TL services are shippers with significant amount of shipments throughout a year. Due to the complexity of their network and the large expenditure on transportation, shippers select their carriers through auctions and using optimization methods, and enter into long-term contracts with winners with the best prices. Shippers subsequently request their carriers to fulfill shipment every time there's a load, a procedure called 'tender'. Despite the sophisticated selection and the existence of contracts, shippers' tenders are frequently rejected by their carriers, a phenomenon called tender rejection. When this happens, the shipper has to find alternative carriers and most of the time the price for the load increases. With weekly rejection rate as a dependent variable, and with variability of volume, length of haul, or the differential in prices as independent variables, this research mainly used the linear regression method to examine how well these independent variables account for rejections for a given lane. The analysis used the data including TL shipment and tender records of 17 shippers for five years. This research also attempted to discover any geographic patterns of frequent rejections. The analysis of the relationship between truckload rates and rejection rates suggested a potential trade-off between price and rejection, which questions the generally accepted strategy of shippers minimizing truckload expenditures by unconditionally reducing rejections. by Yoo Joon Kim. M.Eng.in Logistics 2013-09-24T19:42:43Z 2013-09-24T19:42:43Z 2013 2013 Thesis http://hdl.handle.net/1721.1/81098 858277813 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 70 p. application/pdf Massachusetts Institute of Technology
spellingShingle Engineering Systems Division.
Kim, Yoo Joon
Analysis of truckload prices and rejection rates
title Analysis of truckload prices and rejection rates
title_full Analysis of truckload prices and rejection rates
title_fullStr Analysis of truckload prices and rejection rates
title_full_unstemmed Analysis of truckload prices and rejection rates
title_short Analysis of truckload prices and rejection rates
title_sort analysis of truckload prices and rejection rates
topic Engineering Systems Division.
url http://hdl.handle.net/1721.1/81098
work_keys_str_mv AT kimyoojoon analysisoftruckloadpricesandrejectionrates