Title page for etd-0723104-085302


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URN etd-0723104-085302
Author Hui-chun Kuo
Author's Email Address No Public.
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Department Information Management
Year 2003
Semester 2
Degree Master
Type of Document
Language English
Title Solving the Distributed Constraint Satisfaction Problem for Cooperative Supply Chains Using Multi-agent Systems
Date of Defense 2004-07-19
Page Count 81
Keyword
  • generic algorithm
  • supply chain management
  • automated negotiation
  • multi-agent systems
  • distributed scheduling problem
  • distributed constraint satisfaction problem
  • Abstract Facing global and dynamic competition environment, companies have to collaborate with other companies instead of struggle alone to optimize performance of supply chain. In a distributed supply chain structure, it is an important issue for companies to coordinate seamlessly to effectively fulfill customer orders. In this thesis, we seek to propose a fast and flexible method to solve the order fulfillment scheduling conflicts among partners in a supply chain.
    Due to the risk of exposing trade secrets and the cost of gathering information, the centralized constraint satisfaction mechanism is infeasible to handle distributed scheduling problem in real world environment. Moreover, the distributed constraints satisfaction model just focuses on finding a globally executable order fulfillment schedule. Therefore, we propose an agent-based distributed coordination mechanism that integrates negotiation with generic algorithm. We chose the mold manufacturing industry as an example and conducted experiments to evaluate the performance of the proposed mechanism and to compare with other benchmark methods proposed by researchers prior to this study. The experimental results indicate that the distributed coordination mechanism we proposed is a feasible approach to solve the order fulfillment scheduling conflicts in outsourcing activities in a supply chain.
    Advisory Committee
  • Hsin-Hui Lin - chair
  • Te-Min Chang - co-chair
  • Fu-ren Lin - advisor
  • Files
  • etd-0723104-085302.pdf
  • indicate in-campus access in a year and off_campus not accessible
    Date of Submission 2004-07-23

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