Stochastic optimization of sustainable industrial symbiosis based hybrid generation bioethanol supply chains

Computers and Industrial Engineering

Volumn 87, Issue , 2015, Pages 40-65

  Gonela, Vinay ^a   Zhang, Jun ^b   Osmani, Atif ^c  

^a SOUTHWEST MINNESOTA STATE UNIVERSITY   (United States)

^b University of California Riverside   (United States)

^c MINNESOTA STATE UNIVERSITY MOORHEAD   (United States)

Author keywords

Energy efficiency; Hybrid generation bioethanol supply chain; Industrial symbiosis; Stochastic mixed integer linear programming; Sustainability

Indexed keywords

BIOETHANOL; CHAINS; ENERGY EFFICIENCY; ENERGY POLICY; ETHANOL; GAS EMISSIONS; GREENHOUSE GASES; INTEGER PROGRAMMING; OPTIMIZATION; SENSITIVITY ANALYSIS; STANDARDS; STOCHASTIC MODELS; STOCHASTIC SYSTEMS; SUPPLY CHAINS;

BIOETHANOL SUPPLY CHAINS; ECONOMIC PERFORMANCE; HYBRID GENERATION; INDUSTRIAL SYMBIOSIS; MIXED INTEGER LINEAR PROGRAMMING; RENEWABLE ENERGIES; STOCHASTIC OPTIMIZATIONS; SUSTAINABILITY CONSIDERATIONS;

SUSTAINABLE DEVELOPMENT;

EID: 84929643463     PISSN: 03608352     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.cie.2015.04.025     Document Type: Article

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