In
this article, a multiobjective mixed-integer linear programming
(MILP) model is proposed to address the optimal design and planning
of a lignocellulosic bioethanol supply chain (LBSC) considering a
sustainable supply chain optimization framework including economic,
environmental, and social objectives. The proposed model is capable
of determining strategic decisions, including biomass sourcing and
allocation, locations, capacity levels, and technology types of biorefinery
facilities, as well as the tactical decisions, including inventory
levels, production amounts, and shipments among the network. Eco-indicator
99, which is a well-known life-cycle-assessment- (LCA-) based environmental
impact assessment method, is incorporated into the model to estimate
the relevant environmental impacts. To handle the inherent uncertainty
of the input data in the problem of interest, a novel multiobjective
robust possibilistic programming (MORPP) approach is developed. The
performance of the model is demonstrated through a case study developed
for a biofuel supply chain in Iran. Diverse solutions achieved by
the proposed MORPP approach outperform deterministic solutions in
terms of given performance measures.
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