Paper Info
Title
A Fuzzy-GA Decision Support System for Enhancing Postponement Strategies in Supply Chain Management
Abstract
This paper aims to propose a knowledge-based Fuzzy - GA Decision Support System with performance metrics for better measuring postponement strategies. The Fuzzy - GA approach mainly consists of two stages: knowledge representation and knowledge assimilation. The relevant knowledge of deciding what type of postponement strategies to adopt is encoded as a string with a fuzzy rule set and the corresponding membership functions. The historical data on performance measures forming a combined string is used as the initial population for the knowledge assimilation stage afterwards. GA is then further incorporated to provide an optimal or nearly optimal fuzzy set and membership functions for related performance measures. The originality of this research is that the proposed system is equipped with the ability of assessing the loss caused by discrepancy away from the different supply chain parties, and therefore enabling the identification of the best set of decision variables.
Year
DOI
Venue
2008
10.1007/978-3-540-89694-4_15
SEAL
Keywords
Field
DocType
supply chain management,fuzzy set,decision support system,membership function,knowledge base,supply chain
Postponement,Mathematical optimization,Fuzzy classification,Defuzzification,Fuzzy set operations,Computer science,Decision support system,Fuzzy logic,Fuzzy set,Artificial intelligence,Machine learning,Fuzzy rule
Conference
Volume
ISSN
Citations 
5361
0302-9743
1
PageRank 
References 
Authors
0.39
6
2
Name
Order
Citations
PageRank
Cassandra X. H. Tang152.81
Henry C. W. Lau230133.27