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Data-driven risk assessment for truckload service providers

Author(s)
Chittella, Sriram Kishore; Machado Teixeira, Marcos
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Massachusetts Institute of Technology. Engineering Systems Division.
Advisor
Daniel W. Steeneck.
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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
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Abstract
Non-asset backed third-party logistics companies provide shippers access to a flexible source of capacity through transportation carrier spot market. The increased volatility in the trucking spot market rates is turning the 3PL businesses more risky and complex. To maximize profitability, a better understanding of the risk and the volatility patterns across the different geographies, time periods and other factors are investigated based on three years of real spot market data from a major 3PL company in US. Throughout this research we investigate the nature of trucking spot market volatility to allow truckload service providers to reduce their risk when setting long-term contracts. Using three different measures of volatility we are able to assess the company's risk profile and arise with insights to improve truckload service providers' business.
Description
Thesis: M. Eng. in Logistics, Massachusetts Institute of Technology, Engineering Systems Division, 2015.
 
Cataloged from PDF version of thesis.
 
Includes bibliographical references (pages 78-79).
 
Date issued
2015
URI
http://hdl.handle.net/1721.1/99808
Department
Massachusetts Institute of Technology. Engineering Systems Division
Publisher
Massachusetts Institute of Technology
Keywords
Engineering Systems Division.

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