Pre-bid network analysis for transportation procurement auction under stochastic demand
Thesis (S.M.)--Massachusetts Institute of Technology, Computation for Design and Optimization Program, 2007. === Includes bibliographical references (p. 67-68). === Transportation procurement is one of the most critical sourcing decisions to be made in many companies. This thesis addresses a real-li...
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ndltd-MIT-oai-dspace.mit.edu-1721.1-417272019-05-02T16:06:53Z Pre-bid network analysis for transportation procurement auction under stochastic demand Wang, Qian David Simchi-Levi. Massachusetts Institute of Technology. Computation for Design and Optimization Program. Massachusetts Institute of Technology. Computation for Design and Optimization Program. Computation for Design and Optimization Program. Thesis (S.M.)--Massachusetts Institute of Technology, Computation for Design and Optimization Program, 2007. Includes bibliographical references (p. 67-68). Transportation procurement is one of the most critical sourcing decisions to be made in many companies. This thesis addresses a real-life industrial problem of creating package bids for a company's transportation procurement auction. The purpose of offering package bids is to increase the carriers' capacity and to improve the reliability of services. In this thesis, we investigate the possibility of forming packages using the company's own distribution network. Effective distribution of packages requires balanced cycles. A balanced cycle is a cycle containing no more than 3 nodes with equal loads (or volume of package) on every link in the cycle. We develop mixed-integer programs to find the maximum amount of network volume that can be covered by well-balanced cycles. These models are deterministic models that provide a rough guide on the optimal way of package formation when loads are known in advance. Since demand is random in real life, we perform a stochastic analysis of the problem using various techniques including simulation, probabilistic analysis and stochastic programming. Results from the stochastic analysis show that the effectiveness of package distribution depends on how we allocate the volumes on the lanes to create balanced cycles. If we always assign a fixed proportion of the lanes' volumes to the cycles, then it is only possible to have well-balanced cycles when the average volumes on the lanes are very large, validating the advantage of joint bids between several companies. However, if we assign a different proportion of the lanes' volumes to the cycles each time demand changes, then it is possible to create cycles that are balanced most of the time. An approximated solution method is provided to obtain a set of balanced cycles that can be bid out. by Qian Wang. S.M. 2008-05-19T16:12:34Z 2008-05-19T16:12:34Z 2007 2007 Thesis http://hdl.handle.net/1721.1/41727 225074800 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 68 p. application/pdf Massachusetts Institute of Technology |
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Computation for Design and Optimization Program. |
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Computation for Design and Optimization Program. Wang, Qian Pre-bid network analysis for transportation procurement auction under stochastic demand |
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Thesis (S.M.)--Massachusetts Institute of Technology, Computation for Design and Optimization Program, 2007. === Includes bibliographical references (p. 67-68). === Transportation procurement is one of the most critical sourcing decisions to be made in many companies. This thesis addresses a real-life industrial problem of creating package bids for a company's transportation procurement auction. The purpose of offering package bids is to increase the carriers' capacity and to improve the reliability of services. In this thesis, we investigate the possibility of forming packages using the company's own distribution network. Effective distribution of packages requires balanced cycles. A balanced cycle is a cycle containing no more than 3 nodes with equal loads (or volume of package) on every link in the cycle. We develop mixed-integer programs to find the maximum amount of network volume that can be covered by well-balanced cycles. These models are deterministic models that provide a rough guide on the optimal way of package formation when loads are known in advance. Since demand is random in real life, we perform a stochastic analysis of the problem using various techniques including simulation, probabilistic analysis and stochastic programming. Results from the stochastic analysis show that the effectiveness of package distribution depends on how we allocate the volumes on the lanes to create balanced cycles. If we always assign a fixed proportion of the lanes' volumes to the cycles, then it is only possible to have well-balanced cycles when the average volumes on the lanes are very large, validating the advantage of joint bids between several companies. However, if we assign a different proportion of the lanes' volumes to the cycles each time demand changes, then it is possible to create cycles that are balanced most of the time. An approximated solution method is provided to obtain a set of balanced cycles that can be bid out. === by Qian Wang. === S.M. |
author2 |
David Simchi-Levi. |
author_facet |
David Simchi-Levi. Wang, Qian |
author |
Wang, Qian |
author_sort |
Wang, Qian |
title |
Pre-bid network analysis for transportation procurement auction under stochastic demand |
title_short |
Pre-bid network analysis for transportation procurement auction under stochastic demand |
title_full |
Pre-bid network analysis for transportation procurement auction under stochastic demand |
title_fullStr |
Pre-bid network analysis for transportation procurement auction under stochastic demand |
title_full_unstemmed |
Pre-bid network analysis for transportation procurement auction under stochastic demand |
title_sort |
pre-bid network analysis for transportation procurement auction under stochastic demand |
publisher |
Massachusetts Institute of Technology |
publishDate |
2008 |
url |
http://hdl.handle.net/1721.1/41727 |
work_keys_str_mv |
AT wangqian prebidnetworkanalysisfortransportationprocurementauctionunderstochasticdemand |
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1719034848175194112 |