Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/14122
Title: Optimization of order fulfillment in distribution network problems
Authors: Chan, FTS 
Chung, SH
Choy, KL 
Keywords: Analytic hierarchy process
Distribution network
Genetic algorithms
Multi-criterion decision making
Production scheduling
Uncertainties
Issue Date: 2006
Publisher: Springer
Source: Journal of intelligent manufacturing, 2006, v. 17, no. 3, p. 307-319 How to cite?
Journal: Journal of Intelligent Manufacturing 
Abstract: This paper focuses on optimization of order due date fulfillment reliability in multi-echelon distribution network problems with uncertainties present in the production lead time, transportation lead time, and due date of orders. Reliability regarding order due date fulfillment is critical in customer service, and customer retention. However, this reliability can be seriously influenced by supply chain uncertainties, which may induce tardiness in various stages throughout the supply chain. Supply chain uncertainty is inevitable, since most input values are predicted from historical data, and unexpected events may happen. Hence, a multi-criterion genetic integrative optimization methodology is developed for solving this problem. The proposed algorithm integrates genetic algorithms with analytic hierarchy process to enable multi-criterion optimization, and probabilistic analysis to capture uncertainties. The optimization involves determination of demand allocations in the network, transportation modes between facilities, and production scheduling in manufacturing plants. A hypothetical three-echelon distribution network is studied, and the computation results demonstrated the reliability of the proposed algorithms.
URI: http://hdl.handle.net/10397/14122
ISSN: 0956-5515
DOI: 10.1007/s10845-005-0003-z
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