The impact of lead time on truckload transportation rates
Thesis (M. Eng. in Logistics)--Massachusetts Institute of Technology, Engineering Systems Division, 2008.
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Format: | Thesis |
Language: | eng |
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Massachusetts Institute of Technology
2009
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Online Access: | http://hdl.handle.net/1721.1/45252 |
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author | Caldwell, Erik R. (Erik Russell) Fisher, Bryan C |
author2 | Chris Caplice. |
author_facet | Chris Caplice. Caldwell, Erik R. (Erik Russell) Fisher, Bryan C |
author_sort | Caldwell, Erik R. (Erik Russell) |
collection | MIT |
description | Thesis (M. Eng. in Logistics)--Massachusetts Institute of Technology, Engineering Systems Division, 2008. |
first_indexed | 2024-09-23T15:05:02Z |
format | Thesis |
id | mit-1721.1/45252 |
institution | Massachusetts Institute of Technology |
language | eng |
last_indexed | 2024-09-23T15:05:02Z |
publishDate | 2009 |
publisher | Massachusetts Institute of Technology |
record_format | dspace |
spelling | mit-1721.1/452522019-04-10T14:52:51Z The impact of lead time on truckload transportation rates Caldwell, Erik R. (Erik Russell) Fisher, Bryan C 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, 2008. Includes bibliographical references (leaves 80-81). The objective of this thesis was to analyze truckload shipment transactions in order to determine if rates are impacted by tender lead time, which is the amount of time between when a carrier is offered a load to when the load needs to be picked up. The research specifically focused on how tender rejections by carriers are the ultimate driver of transportation cost variances since most rates are contractually fixed in advance. The data revealed a strong correlation between tender rejections and increased costs. Many factors affect transportation costs. The transportation model in the paper included three key baseline factors: distance, origin, and destination of the load. The model also included tender and pick up day of week activity, economies of scale, carrier size, and tender lead time to quantify how the factors influence the cost of a load. The research suggests that even though the baseline factors dominate the cost of most loads, shippers can create savings by modifying business policy with regard to tender lead time and other factors included in the model. by Erik R. Caldwell and Bryan C. Fisher. M.Eng.in Logistics 2009-04-29T17:15:18Z 2009-04-29T17:15:18Z 2008 2008 Thesis http://hdl.handle.net/1721.1/45252 310356877 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 90 leaves application/pdf Massachusetts Institute of Technology |
spellingShingle | Engineering Systems Division. Caldwell, Erik R. (Erik Russell) Fisher, Bryan C The impact of lead time on truckload transportation rates |
title | The impact of lead time on truckload transportation rates |
title_full | The impact of lead time on truckload transportation rates |
title_fullStr | The impact of lead time on truckload transportation rates |
title_full_unstemmed | The impact of lead time on truckload transportation rates |
title_short | The impact of lead time on truckload transportation rates |
title_sort | impact of lead time on truckload transportation rates |
topic | Engineering Systems Division. |
url | http://hdl.handle.net/1721.1/45252 |
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