Analyzing the design and management of biomass-to-biorefinery supply chain

By Sandra Duni Eksioglu, Ambarish M. Acharya, L. Leightley, S. Arora. Computers & industrial engineering, 2009

450 citations recorded by the source corpus.

Subfields: Biomedical Engineering, Mechanics of Materials, Strategy and Management

View Paper: https://www.semanticscholar.org/paper/5879c5d8351f376c7a015d828488c91dda8ee8af

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In Biomedical Engineering

In Mechanics of Materials

In Strategy and Management

Citations in the corpus

Economic Optimization of a Lignocellulosic Biomass-to-Ethanol Supply Chain (2012, background): “, 2011), meeting geospatial fuel demand economically using biomass (Mapemba, 2005; Mapemba, 2008; Zamboni et al., 2009; Kang et al., 2010; Morrow et al., 2006; Eks-ioğlu et al., 2009; Tembo et al., 2003) while also reducing the environmental impact (Zamboni et al.”
Analyzing the impacts of carbon regulatory mechanisms on supplier and mode selection decisions: An application to a biofuel supply chain (2014, background): “A number of research articles utilize cost minimization models to determine optimal locations and capacities for biorefineries given the distribution of biomass and the location of final customers (Akgul et al., 2011; Dunnett et al., 2007, 2008; Eksioglu et al., 2009; Gunnarsson et al., 2004; Huang ”
Bioethanol supply chain system planning under supply and demand uncertainties (2012, background): “Despite of the importance of addressing uncertainties in biofuel supply system planning as identified in Eksioglu et al. (2009) and IEA (2006), there is only one stochastic model in biofuel supply chain literature (Cundiff et al., 1997), which focused only on storage facilities for herbaceous…”
Modeling of biomass-to-energy supply chain operations: Applications, challenges and research directions (2014, background): “Furthermore, Eksioglu et al. (2009) proposed a mixed integer programming (MIP) model with the objective of minimizing the total cost of a biomass supply chain, accounting for deterioration, seasonality and availability of biomass materials.”
Optimal design of sustainable cellulosic biofuel supply chains: Multiobjective optimization coupled with life cycle assessment and input–output analysis (2012, unknown): “Eksioglu et al. 13 proposed a MILP model for the design and operations of a biomass-to bioreﬁnery supply chain.”