{"id":{"repo_id":"mit","oai_identifier":"oai:dspace.mit.edu:1721.1/29571"},"canonical_url":"https://search.dev.ndltd.org/etd/mit/oai:dspace.mit.edu:1721.1/29571","repository":{"repo_id":"mit","name":"MIT","base_url":"https://dspace.mit.edu/oai/request"},"display":{"title":"A profit maximization model in a two-echelon supply chain management : distribution and pricing strategies","abstract":"Distribution and pricing strategies play a central role in the field of supply chain management. Heuristic approaches to the vehicle routing problem (VRP) are usually used to design optimal delivery routes to serve geographically dispersed customers, who are price elastic. There is a rich literature discussing either the manufacturer's distribution strategy or its pricing initiatives. The purpose of this thesis is to develop a profit maximization model that presents an integrated distribution and pricing strategy for any company facing such issues. We first examine a simplified scenario when all customers are located in the same delivery region and their demand is deterministic. Both truckload (TL) and less-than-truckload (LTL) shipment strategies are analyzed and compared. We later extend our findings to multiple delivery regions and discuss the impact of the manufacturer's pricing flexibility on its profit. Then we relax the assumption of deterministic customer demand and introduce the safety stock cost. Finally the application on across delivery region situations is shown. Although some of our assumptions simplify our model, we believe that it provides insight into more complex supply chain management problems.","abstract_html":"Distribution and pricing strategies play a central role in the field of supply chain management. Heuristic approaches to the vehicle routing problem (VRP) are usually used to design optimal delivery routes to serve geographically dispersed customers, who are price elastic. There is a rich literature discussing either the manufacturer's distribution strategy or its pricing initiatives. The purpose of this thesis is to develop a profit maximization model that presents an integrated distribution and pricing strategy for any company facing such issues. We first examine a simplified scenario when all customers are located in the same delivery region and their demand is deterministic. Both truckload (TL) and less-than-truckload (LTL) shipment strategies are analyzed and compared. We later extend our findings to multiple delivery regions and discuss the impact of the manufacturer's pricing flexibility on its profit. Then we relax the assumption of deterministic customer demand and introduce the safety stock cost. Finally the application on across delivery region situations is shown. Although some of our assumptions simplify our model, we believe that it provides insight into more complex supply chain management problems.","abstract_has_math":false,"creators":["Mao, Ye, 1978-"],"institution":"Massachusetts Institute of Technology","degree_name":null,"degree_level":null,"degree_discipline":null,"degree_department":"Massachusetts Institute of Technology. Dept. of Civil and Environmental Engineering.","school":null,"contributors":[],"advisors":["Donald B. Rosenfield Joseph R. Sussman."],"committee_chairs":[],"committee_members":[],"year":2003,"date_issued":"2003","date_published":"2003","updated_at":"2026-07-22T22:22:02Z","subjects":["Civil and Environmental Engineering.","Operations Research Center."],"languages":["eng"],"rights":["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. 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Heuristic approaches to the vehicle routing problem (VRP) are usually used to design optimal delivery routes to serve geographically dispersed customers, who are price elastic. There is a rich literature discussing either the manufacturer's distribution strategy or its pricing initiatives. The purpose of this thesis is to develop a profit maximization model that presents an integrated distribution and pricing strategy for any company facing such issues. We first examine a simplified scenario when all customers are located in the same delivery region and their demand is deterministic. Both truckload (TL) and less-than-truckload (LTL) shipment strategies are analyzed and compared. We later extend our findings to multiple delivery regions and discuss the impact of the manufacturer's pricing flexibility on its profit. Then we relax the assumption of deterministic customer demand and introduce the safety stock cost. Finally the application on across delivery region situations is shown. 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The purpose of this thesis is to develop a profit maximization model that presents an integrated distribution and pricing strategy for any company facing such issues. We first examine a simplified scenario when all customers are located in the same delivery region and their demand is deterministic. Both truckload (TL) and less-than-truckload (LTL) shipment strategies are analyzed and compared. We later extend our findings to multiple delivery regions and discuss the impact of the manufacturer's pricing flexibility on its profit. Then we relax the assumption of deterministic customer demand and introduce the safety stock cost. Finally the application on across delivery region situations is shown. 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