Optimal design and global sensitivity analysis of biomass supply chain networks for biofuels under uncertainty
By Jinkyung Kim, M. Realff, Jay H. Lee. Computers and Chemical Engineering, 2011
370 citations recorded by the source corpus.
Subfields: Environmental Engineering, Mechanics of Materials, Strategy and Management
View Paper: https://www.semanticscholar.org/paper/47725beb7ab3888f5f85c42a55565acd3bce12ce
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In Environmental Engineering
In Mechanics of Materials
In Strategy and Management
Citations in the corpus
- 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. Based on the”
- Modeling of biomass-to-energy supply chain operations: Applications, challenges and research directions (2014, methodology): “Mixed integer linear programming models have also been widely used to identify the optimal locations of biomass power plants, dealing with 0–1 decisions on potential locations (Dyken et al., 2010: Leduc et al., 2010a,b; Bai et al., 2011; Kim et al., 2011b; Zhu et al., 2011).”