Functional-unit-based life cycle optimization for design of sustainable product systems with application on biofuel supply chains. Yue, D. & You, F. Volume 33 , 2014.
abstract   bibtex   
We propose a life cycle optimization framework for sustainable design of hydrocarbon supply chains considering economic and environmental criteria that are based on the concept of "functional unit". With the functional-unit-based objective functions, we develop a biofuel supply chain system that is both cost-effective and environmentally sustainable. The ?-constraint method is applied for multi-objective optimization and a series of Pareto-optimal solutions are obtained which reveal the tradeoff between economic and environmental performances. Due to the introduction of functional-unit- based objectives, the resulting model is formulated as a mixed integer linear fractional program (MILFP), which can be challenging for global optimization. Therefore, we further introduce two tailored MILFP methods, namely parametric algorithm and reformulation-linearization method for the efficient solution. The model and solution methods are illustrated by the spatially explicit optimization of a potential county-level hydrocarbon biofuel supply chain in the state of Illinois. ? 2014 Elsevier B.V.
@book{
 title = {Functional-unit-based life cycle optimization for design of sustainable product systems with application on biofuel supply chains},
 type = {book},
 year = {2014},
 source = {Computer Aided Chemical Engineering},
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 keywords = {[Biofuel supply chain, Functional unit, Life cycle},
 volume = {33},
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 abstract = {We propose a life cycle optimization framework for sustainable design of hydrocarbon supply chains considering economic and environmental criteria that are based on the concept of "functional unit". With the functional-unit-based objective functions, we develop a biofuel supply chain system that is both cost-effective and environmentally sustainable. The ?-constraint method is applied for multi-objective optimization and a series of Pareto-optimal solutions are obtained which reveal the tradeoff between economic and environmental performances. Due to the introduction of functional-unit- based objectives, the resulting model is formulated as a mixed integer linear fractional program (MILFP), which can be challenging for global optimization. Therefore, we further introduce two tailored MILFP methods, namely parametric algorithm and reformulation-linearization method for the efficient solution. The model and solution methods are illustrated by the spatially explicit optimization of a potential county-level hydrocarbon biofuel supply chain in the state of Illinois. ? 2014 Elsevier B.V.},
 bibtype = {book},
 author = {Yue, D. and You, F.}
}

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