Biodiesel supply chain optimization via a hybrid system dynamics-mathematical programming approach

Renewable Energy

Volumn 93, Issue , 2016, Pages 383-403

  Azadeh, Ali ^a   Vafa Arani, Hamed ^a  

^a UNIVERSITY OF TEHRAN   (Iran)

Author keywords

Biodiesel supply chain; Optimization; Renewable energy; Stochastic mixed integer programming; System dynamics

Indexed keywords

BIODIESEL; BIOMASS; COMMERCE; DECISION MAKING; ENVIRONMENTAL TECHNOLOGY; ESTIMATION; FOSSIL FUELS; HYBRID SYSTEMS; MATHEMATICAL PROGRAMMING; OPTIMIZATION; PARAMETER ESTIMATION; POLLUTION; RISK ASSESSMENT; RISK PERCEPTION; SENSITIVITY ANALYSIS; STOCHASTIC MODELS; STOCHASTIC SYSTEMS; SUPPLY CHAINS; SYSTEM THEORY; WATER RESOURCES;

BIODIESEL SUPPLY CHAINS; ENVIRONMENTAL POLLUTIONS; NUMERICAL EXPERIMENTS; RENEWABLE ENERGIES; STOCHASTIC MIXED INTEGER PROGRAMMING; SYSTEM DYNAMICS; SYSTEM DYNAMICS MODEL; TECHNOLOGY LIMITATIONS;

INTEGER PROGRAMMING;

AGRICULTURAL PRODUCTION; BIOFUEL; DESIGN; ENERGY MARKET; ENERGY PLANNING; ENERGY RESOURCE; FIELD; NUMERICAL METHOD; NUMERICAL MODEL; OPTIMIZATION; RENEWABLE RESOURCE; RISK PERCEPTION; SENSITIVITY ANALYSIS; STOCHASTICITY; SUPPLY CHAIN MANAGEMENT;

IRAN;

EID: 84960094980     PISSN: 09601481     EISSN: 18790682     Source Type: Journal    
DOI: 10.1016/j.renene.2016.02.070     Document Type: Article

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