TY - JOUR
T1 - Functional-unit-based life cycle optimization for design of sustainable product systems with application on biofuel supply chains
AU - Yue, Dajun
AU - You, Fengqi
PY - 2014/1/1
Y1 - 2014/1/1
N2 - 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 ε-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.
AB - 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 ε-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.
KW - Biofuel supply chain
KW - Functional unit
KW - Life cycle optimization
KW - Sustainable product system
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U2 - 10.1016/B978-0-444-63455-9.50012-X
DO - 10.1016/B978-0-444-63455-9.50012-X
M3 - Article
AN - SCOPUS:84902992719
VL - 33
SP - 1063
EP - 1068
JO - Computer Aided Chemical Engineering
JF - Computer Aided Chemical Engineering
SN - 1570-7946
ER -