TY - JOUR
T1 - A decision support platform for a bio-based supply chain
T2 - Application to the region of Lower Saxony and Bremen (Germany).
AU - Galanopoulos, Christos
AU - Barletta, Diego
AU - Zondervan, Edwin
PY - 2018/7/12
Y1 - 2018/7/12
N2 - In this work, a biomass supply chain model, for the region of Lower Saxony and Bremen in northern Germany, has been developed. Because of Germany's high demand for biofuels, the production and distribution of levulinic acid and bioethanol by wheat straw is studied. An illustrative bio-based supply chain model is developed and implemented in the Advanced Interactive Multidimensional Modeling (AIMMS) software. Then, this model is used to study the logistics, network optimization, transportation and inventory management, and the resulting environmental and economic impacts. In the end, a sensitivity analysis is conducted to evaluate the influence of key model parameters on these impacts. The results showed that a wheat straw supply chain network is profitable in the area of Bremen and Lower Saxony even though the bioproducts demand is not fully covered and that the transportation costs did not have a strong impact on the supply chain network.
AB - In this work, a biomass supply chain model, for the region of Lower Saxony and Bremen in northern Germany, has been developed. Because of Germany's high demand for biofuels, the production and distribution of levulinic acid and bioethanol by wheat straw is studied. An illustrative bio-based supply chain model is developed and implemented in the Advanced Interactive Multidimensional Modeling (AIMMS) software. Then, this model is used to study the logistics, network optimization, transportation and inventory management, and the resulting environmental and economic impacts. In the end, a sensitivity analysis is conducted to evaluate the influence of key model parameters on these impacts. The results showed that a wheat straw supply chain network is profitable in the area of Bremen and Lower Saxony even though the bioproducts demand is not fully covered and that the transportation costs did not have a strong impact on the supply chain network.
KW - AIMMS
KW - Bio-based supply chain
KW - Bioethanol
KW - Levulinic acid
KW - Optimization
KW - Wheat straw
UR - http://www.scopus.com/inward/record.url?scp=85046339763&partnerID=8YFLogxK
U2 - 10.1016/j.compchemeng.2018.03.024
DO - 10.1016/j.compchemeng.2018.03.024
M3 - Article
AN - SCOPUS:85046339763
SN - 0098-1354
VL - 115
SP - 233
EP - 242
JO - Computers & chemical engineering
JF - Computers & chemical engineering
ER -
