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Modeling and optimizing transportation decisions in a manufacturing supply chain

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  • Karabuk, Suleyman

Abstract

We describe a transportation problem we studied at the trucking division of a textile manufacturer that owns and operates a large number of manufacturing facilities in all stages of the manufacturing supply chain. The problem involves scheduling of pickup and delivery of daily inventory movement between plants. We develop integer programming models that are based on the current workflow of the schedulers and that capture and optimize crucial aspects of the problem. We validate the models and demonstrate their use with actual data. The results suggest that an effective computerized decision-support system can be built around these models.

Suggested Citation

  • Karabuk, Suleyman, 2007. "Modeling and optimizing transportation decisions in a manufacturing supply chain," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 43(4), pages 321-337, July.
    • Handle: RePEc:eee:transe:v:43:y:2007:i:4:p:321-337
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    Cited by:

    1. Karabuk, Suleyman, 2009. "A nested decomposition approach for solving the paratransit vehicle scheduling problem," Transportation Research Part B: Methodological, Elsevier, vol. 43(4), pages 448-465, May.
    2. Chen, Xianzhe & Zhang, Jun, 2009. "Optimal Dispatching Policy under Transportation Disruption," 50th Annual Transportation Research Forum, Portland, Oregon, March 16-18, 2009 207735, Transportation Research Forum.

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