Bioethanol supply chain system planning under supply and demand uncertainties

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Quantitative models for sustainable supply chain management: Developments and directions (2014, background): “Normative stochastic models most often focus on manufacturers and strive for improving companywide planning processes (Chen & Fan, 2012; Hu & Bibanda, 2009; Linninger, Chakraborty, & Colberg, 2000; Radulescu et al., 2009; Tsai & Hung, 2009; Wu & Chang, 2004) or the implementation of cleaner…”
Incorporating risk measures in closed-loop supply chain network design (2014, background): “These papers include the studies of Ruszczynski and Shapiro (2006), Ahmed (2006), Chen et al. (2006), Guillén et al. (2006), Schultz and Tiedemann (2006), Bidhandi and Yusuff (2011), Nickel, Saldanha-da-Gama, and Ziegler (2012) (in supply chain), and Chen and Fan (2012).”
A hybrid multi-stage stochastic programming-robust optimization model for maximizing the supply chain of a forest-based biomass power plant considering uncertainties (2016, background): “While a few studies have considered uncertainty in bioenergy supply chains in general (Kim et al. 2011; Chen and Fan 2012), to the best of our knowledge, our approach in modeling uncertainty in biomass quality and availability in forest-based biomass to bioenergy supply chains is novel.”