A bi-objective model for a multi-echelon supply chain design considering efficiency and customer satisfaction: a case study in plastic parts industry

International Journal of Advanced Manufacturing Technology

Volumn 95, Issue 9-12, 2018, Pages 3631-3649

  Ebrahimi, Seyed Babak ^a  

^a K N TOOSI UNIVERSITY OF TECHNOLOGY   (Iran)

Author keywords

Customer satisfaction; Multi objective metaheuristic algorithm; Plastic industry; Supply chain network design; Taguchi method

Indexed keywords

ANALYSIS OF VARIANCE (ANOVA); EFFICIENCY; GENETIC ALGORITHMS; HEURISTIC METHODS; INTEGER PROGRAMMING; MANUFACTURE; NONLINEAR PROGRAMMING; OPTIMIZATION; PLASTIC PARTS; PRODUCT DESIGN; SALES; SUPPLY CHAIN MANAGEMENT; TAGUCHI METHODS;

MIXED-INTEGER NONLINEAR PROGRAMMING; MULTI ECHELON SUPPLY CHAINS; MULTI-OBJECTIVE METAHEURISTICS; NON DOMINATED SORTING GENETIC ALGORITHM II (NSGA II); OPTIMIZATION PROBLEMS; PLASTIC INDUSTRY; SUPPLY CHAIN EFFICIENCY; SUPPLY CHAIN NETWORK DESIGN;

CUSTOMER SATISFACTION;

EID: 85038102437     PISSN: 02683768     EISSN: 14333015     Source Type: Journal    
DOI: 10.1007/s00170-017-1437-0     Document Type: Article

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