Fuzzy rule sets for enhancing performance in a supply chain network

Industrial Management and Data Systems

Volumn 108, Issue 7, 2008, Pages 947-972

  Ho, G T S ^a   Lau, H C W ^a   Chung, S H ^a   Fung, R Y K ^b   Chan, T M ^c   Lee, C K M ^d  

^a HONG KONG POLYTECHNIC UNIVERSITY   (Hong Kong)

^b CITY UNIVERSITY OF HONG KONG   (Hong Kong)

^c UNIVERSITY OF MINHO   (Portugal)

^d NANYANG TECHNOLOGICAL UNIVERSITY   (Singapore)

Author keywords

Advanced manufacturing technologies; Fuzzy logic; Quality; Quality improvement; Supply chain management

Indexed keywords

ASSOCIATION RULES; FUZZY INFERENCE; FUZZY RULES; GENETIC ALGORITHMS; IMAGE QUALITY; QUALITY CONTROL; SUPPLY CHAIN MANAGEMENT;

ADVANCED MANUFACTURING TECHNOLOGIES; DESIGN/METHODOLOGY/APPROACH; FUZZY ASSOCIATION RULE; LOGISTICS OPERATIONS; OPTIMAL FUZZY RULES; QUALITY ENHANCEMENT; QUALITY IMPROVEMENT; SUPPLY CHAIN NETWORK;

FUZZY LOGIC;

EID: 51749123755     PISSN: 02635577     EISSN: None     Source Type: Journal    
DOI: 10.1108/02635570810898017     Document Type: Article

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