2019
DOI: 10.1016/j.esd.2019.08.004
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Wild and cultivated biomass supply chain for biofuel production. A comparative study in West Africa

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Cited by 9 publications
(2 citation statements)
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References 48 publications
(51 reference statements)
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“…An et al [20] provided a multi-period deterministic lignocellulosic-based supply chain (SC) model for biofuel production by taking into account strategic and tactical decisions. Bambara et al [21] compared the supply cost and network configuration of farmed and wild energy crops in this area. The optimum results were identified using a deterministic mixed-integer linear programming model to aid decision-making about biomass supply chains for biofuel production.…”
Section: Literature Reviewmentioning
confidence: 99%
“…An et al [20] provided a multi-period deterministic lignocellulosic-based supply chain (SC) model for biofuel production by taking into account strategic and tactical decisions. Bambara et al [21] compared the supply cost and network configuration of farmed and wild energy crops in this area. The optimum results were identified using a deterministic mixed-integer linear programming model to aid decision-making about biomass supply chains for biofuel production.…”
Section: Literature Reviewmentioning
confidence: 99%
“…In this context, several studies have been carried out on biomass‐bioenergy systems in recent years by using the geographic information system (GIS) tool, which makes it possible to both manage and analyze different types of georeferenced information by adopting the concept of map layers (Bambara et al., 2019; Valenti, Zhong, et al., 2018). Some research studies have covered subjects including biomass to biofuel feedstock and conversion technologies, biomass supply chain design and management including modelling and optimization approaches (Ba et al., 2016; Barbosa‐Póvoa et al., 2017; Ghaderi et al., 2016).…”
Section: Introductionmentioning
confidence: 99%