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中文版
Two Studies on Transportation Service Optimization: Procurement and Revenue Management

  Lecturer:Associate Professor, Dr. Chi-Guhn Lee

  Brief Introduction to the Lecturer:Associate Chair of Department of Mechanical & Industrial Engineering, University of Toronto; Dr. Lee received his Ph.D. from the University of Michigan, Ann Arbor; Published more than 20 papers including OR and TRB. His research areas include various logistics problems; sequential decision making theories; financial theories applied in manufacturing and service sectors; market-driven conflict resolution; optimal pricing.

  Host:Wang Lin, Associate Professor of Department of Production Operation and Logistics Management

  Time:19:00 - 20:30 on Dec. 19

  Place:Room119 in School of Management

  Abstract: In this talk two separate papers will be presented. In the first paper we propose a progressive auction framework in which a shipper and transportation carriers can work together to come up with optimal contracts for transportation services. Combinatorial auction is used to resolve conflicts among carriers and to enable exchange of essential information between carriers and the shipper. The framework is composed of three optimization problems that are to be solved sequentially. In the second problem the total revenue is maximized subject to transportation constraints. The problem was motivated by a large Canadian retailer and the times to cut off orders from multiple suppliers are optimally set so that the retailer can maximize the total revenue. The problem has been solved using two approaches: mathematical programming and a hybrid method combining the mathematical programming and constraint programming.

Release date:2012-12-19
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