A genetic algorithm approach for optimising a closed-loop supply chain network with crisp and fuzzy objectives

International Journal of Production Research

Volumn 52, Issue 12, 2014, Pages 3637-3664

  Demirel, Neslihan ^a   Özceylan, Eren ^b   Paksoy, Turan ^b   Gökçen, Hadi ^a  

^a GAZI UNIVERSITY   (Turkey)

^b SELCUK UNIVERSITY   (Turkey)

Author keywords

closed loop supply chain; fuzzy multi objective; genetic algorithm; incremental incentive; mixed integer programming; secondary market

Indexed keywords

COMMERCE; HEURISTIC METHODS; PROBLEM SOLVING;

CLOSED-LOOP SUPPLY CHAIN; INCREMENTAL INCENTIVE; MIXED INTEGER PROGRAMMING; MULTI OBJECTIVE; SECONDARY MARKET;

GENETIC ALGORITHMS;

EID: 84898044226     PISSN: 00207543     EISSN: 1366588X     Source Type: Journal    
DOI: 10.1080/00207543.2013.879616     Document Type: Article

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