A decision support platform for a bio-based supply chain: Application to the region of Lower Saxony and Bremen (Germany). (12th July 2018)

• Record Type: Journal Article
• Authors: Galanopoulos, Christos; Barletta, Diego; Zondervan, Edwin
• Is Part Of: Computers & chemical engineering. Volume 115(2018)
• Page Start: 233
• Page End: 242
• Publication Date: 2018-07-12
• Subjects: Wheat straw -- Bio-based supply chain -- Levulinic acid -- Bioethanol -- Optimization -- AIMMS; Chemical engineering -- Data processing -- Periodicals; 660.0285
• DOI: 10.1016/j.compchemeng.2018.03.024
• Languages: English
• ISSNs: 0098-1354

Abstract

Highlights: A preliminary wheat straw supply chain model is developed in AIMMS. The dominating costs for our supply chain network proved to be the biomass production costs. The total demand of the bioproducts cannot not be fully covered by the available supply of wheat straw. The topology of the wheat straw supply chain network changes as the transportation costs and the percentage of wheat straw used increase. Abstract: 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.