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
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