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dc.contributor.advisorChris Caplice.en_US
dc.contributor.authorLeopando, Paul Jeffrey Ramirezen_US
dc.contributor.authorRocca, Kyle A. Cen_US
dc.contributor.otherMassachusetts Institute of Technology. Engineering Systems Division.en_US
dc.date.accessioned2015-01-05T20:01:31Z
dc.date.available2015-01-05T20:01:31Z
dc.date.copyright2014en_US
dc.date.issued2014en_US
dc.identifier.urihttp://hdl.handle.net/1721.1/92645
dc.descriptionThesis: M. Eng. in Logistics, Massachusetts Institute of Technology, Engineering Systems Division, 2014.en_US
dc.descriptionCataloged from PDF version of thesis.en_US
dc.descriptionIncludes bibliographical references (pages 76-78).en_US
dc.description.abstractHow an owner-operator chooses a specific load is a relatively unstudied field in transportation literature. Stakeholders in the decisions, such as freight brokers, stand to benefit from a better understanding of the selection process. Using load board data from a freight brokerage, we identified four parameters available to a carrier when a load is presented: length of haul, revenue per mile (RPM), the probability of finding an onward load from the destination, and the required mileage to reposition to the shipment origin. We also identified preferences of the owner-operators based on experience, literature, and the data, such as owner-operators' preference for long haul routes. We tested selection strategies that disintegrated the four load parameters and incorporated owner-operator preferences in a computerized simulation. We found that strategies combining two or more of the identified parameters provide better results in terms of revenue and utilization (% loaded) maximization. Furthermore, we found that including consideration of the empty repositioning distance was critical to success. Our simulated carriers outperformed peers in the dataset by up to 16%. Carriers can apply these insights to improve their operating strategies. Freight brokerages can apply the quantitative approach to advise their carrier clients and optimize the matching of freight with available carrier capacity.en_US
dc.description.statementofresponsibilityby Paul Jeffrey R. Leopando and Kyle A.C. Rocca.en_US
dc.format.extent78 pagesen_US
dc.language.isoengen_US
dc.publisherMassachusetts Institute of Technologyen_US
dc.rightsM.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.en_US
dc.rights.urihttp://dspace.mit.edu/handle/1721.1/7582en_US
dc.subjectEngineering Systems Division.en_US
dc.titleCarrier strategies in the spot trucking marketen_US
dc.typeThesisen_US
dc.description.degreeM. Eng. in Logisticsen_US
dc.contributor.departmentMassachusetts Institute of Technology. Engineering Systems Division.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Engineering Systems Division
dc.identifier.oclc898125398en_US


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