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
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;
Conference_Titel :
IFSA World Congress and NAFIPS Annual Meeting (IFSA/NAFIPS), 2013 Joint
Conference_Location :
Edmonton, AB
DOI :
10.1109/IFSA-NAFIPS.2013.6608537