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Please use this identifier to cite or link to this item: http://hdl.handle.net/1783.1/4979
Title: Tabu search for parallel identical machine disruption problem considering multiple transportation modes
Authors: Guo, Zhuo
Issue Date: 2006
Abstract: In this thesis, a combinatorial optimization model is developed to solve a newly emerged disruption scheduling problem in modern supply chain. When disruption occurs and paralyzes the production in one or several facilities, new high quality schedules need to be generated within a short decision period taking into consideration the cost of ordinary scheduling, cost fiom disruption and also cost from transportation. A special case of the problem is proved to be NP-hard in literature. A robust heuristic based on Tabu Search is developed to search for optimal or near optimal solutions. The components of the Tabu Search are specially designed and tested through extensive experimentation. The test problem is generated by an existing problem generation method from literature and also reasonable assumptions. The results show that our Tabu Search is superior to the acknowledged mathematical solver CPLEX in computation time for a wide range of problem size.
Description: Thesis (M.Phil.)--Hong Kong University of Science and Technology, 2006
x, 58 leaves : ill. ; 30 cm
HKUST Call Number: Thesis IEEM 2006 Guo
URI: http://hdl.handle.net/1783.1/4979
Appears in Collections:IELM Master Theses

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