DocumentCode :
3167584
Title :
A fuzzy hybrid intelligent agent system for mitigating demand amplification in supply chain of steel manufacturing
Author :
Gamasaee, R. ; Zarandi, M.H.F.
Author_Institution :
Dept. of Ind. Eng., Amirkabir Univ. of Technol., Tehran, Iran
fYear :
2013
fDate :
24-28 June 2013
Firstpage :
1003
Lastpage :
1009
Abstract :
Type-2 fuzzy hybrid intelligent agent system; Bullwhip effect; Demand forecasting; Fuzzy disjunctive normal forms; Fuzzy conjunctive normal forms.
Keywords :
fuzzy set theory; multi-agent systems; steel manufacture; supply chain management; bullwhip effect; demand amplification; demand forecasting; fuzzy conjunctive normal forms; fuzzy disjunctive normal forms; steel manufacturing; supply chain; type-2 fuzzy hybrid intelligent agent system; Equations; Expert systems; Fuzzy sets; Intelligent agents; Mathematical model; Pragmatics; Steel;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
IFSA World Congress and NAFIPS Annual Meeting (IFSA/NAFIPS), 2013 Joint
Conference_Location :
Edmonton, AB
Type :
conf
DOI :
10.1109/IFSA-NAFIPS.2013.6608537
Filename :
6608537
Link To Document :
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