Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/8077
Title: A two-level programming method for collaborative scheduling in construction supply chain management
Authors: Xue, X
Sun, C
Wang, Y
Shen, Q 
Keywords: Collaborative scheduling
Construction industry
Supply chain
Two-level programming
Issue Date: 2007
Publisher: Springer
Source: Lecture notes in computer science (including subseries Lecture notes in artificial intelligence and lecture notes in bioinformatics), 2007, v. 4674 LNCS, p. 290-297 How to cite?
Journal: Lecture notes in computer science (including subseries Lecture notes in artificial intelligence and lecture notes in bioinformatics) 
Abstract: There are increasing requirements for collaborative scheduling (CS) in supply chain management (SCM). CS in construction supply chain (CSC), which involves multiple partners, such as general contractor, subcontractors, and material suppliers, can be seen as a multilevel decision-making system with hierarchical structure. Adopting the decomposition-coordination thought of large scale system theory and using the multilevel programming theory, a two-level programming model for CS decision making is established to find satisfactory solution for every partner in CSC This model has the merit of paying attention to die maximization of profit or minimization of cost of all partners located at different decision-making level in CS process. The algorithm of this model is provided, which is combined with the first level programming adopting simulated annealing algorithm and second level programming using discrete search algorithm. Finally, an illustrative example of CS in a CSC is presented. The two-level programming method provides a new way to improve collaborative decision making in CSC This research makes a contribution to the body of knowledge of scheduling.
Description: 4th International Conference on Cooperative Design, Visualization, and Engineering, CDVE 2007, Shanghai, 16-20 September 2007
URI: http://hdl.handle.net/10397/8077
ISBN: 9783540747796
ISSN: 0302-9743 (print)
1611-3349 (online)
Appears in Collections:Conference Paper

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