A carbon-constrained stochastic optimization model with augmented multi-criteria scenario-based risk-averse solution for reverse logistics network design under uncertainty

Journal of Cleaner Production

Volumn 164, Issue , 2017, Pages 1248-1267

  Yu, Hao ^a   Solvang, Wei Deng ^a  

^a UNIVERSITY OF TROMSØ   (Norway)

Author keywords

Network design; Optimization; Reverse logistics; Risk averse; Scenario based solution; Stochastic programming; Sustainability; Uncertainty

Indexed keywords

COMPUTER SOFTWARE REUSABILITY; CONSTRAINED OPTIMIZATION; DECISION MAKING; ENVIRONMENTAL IMPACT; FLEXIBLE MANUFACTURING SYSTEMS; MANUFACTURE; NUMERICAL METHODS; OPTIMAL SYSTEMS; OPTIMIZATION; PRODUCT DESIGN; RISK ANALYSIS; RISK PERCEPTION; SENSITIVITY ANALYSIS; STOCHASTIC MODELS; STOCHASTIC PROGRAMMING; STOCHASTIC SYSTEMS; SUSTAINABLE DEVELOPMENT; SYSTEMS ANALYSIS;

NETWORK DESIGN; REVERSE LOGISTICS; RISK AVERSE; SCENARIO-BASED; UNCERTAINTY;

LOGISTICS;

EID: 85027497137     PISSN: 09596526     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jclepro.2017.07.066     Document Type: Article

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