DocumentCode :
2226548
Title :
Fuzzy logic Supply Chain Agility Assessment methodology
Author :
Pilevari, N. ; SeyedHosseini, S.M. ; Jassbi, Javad
Author_Institution :
Dept. of Ind. Manage., Islamic Azad Univ., Tehran, Iran
fYear :
2008
fDate :
8-11 Dec. 2008
Firstpage :
1113
Lastpage :
1117
Abstract :
Supply Chain Agility Assessment has been considered as one of the most important issues in world class manufacturing research study. The environmental issue as well as speed, variety, flexibility and integration in production line come along with customer relationship and mass customization concept should come to light in today¿s research study. To achieve the competitive edge, companies must align with suppliers and customers to streamline operations, as well as agility characteristic beyond individual companies. Consequently agile supply chain (ASC) is considered as a dominant competitive advantage. However, so far a little effort has been made to build ASC assessment methodology in recent years. Therefore, due to ambiguity of agility assessment, we have constructed a fuzzy rule based system, considering agility capabilities such as Responsiveness, competency, flexibility and Quickness to evaluate agility in supply chains. This evaluation helps managers to perform gap analysis between existent agility level and the desired one.
Keywords :
agile manufacturing; customer relationship management; decision making; fuzzy logic; fuzzy reasoning; knowledge based systems; mass production; product customisation; supply chain management; agile supply chain; customer relationship; decision making; fuzzy inference system; fuzzy rule based system; manufacturing research; mass customization concept; supply chain agility assessment methodology; Delay; Fuzzy logic; Fuzzy systems; Knowledge based systems; Manufacturing; Mass customization; Mass production; Performance analysis; Performance evaluation; Supply chains; Agile supply chain; Agility; Fuzzy Logic; supply chain; supply chain management;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Industrial Engineering and Engineering Management, 2008. IEEM 2008. IEEE International Conference on
Conference_Location :
Singapore
Print_ISBN :
978-1-4244-2629-4
Electronic_ISBN :
978-1-4244-2630-0
Type :
conf
DOI :
10.1109/IEEM.2008.4738043
Filename :
4738043
Link To Document :
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