Abstract
The biomass supply chains are subject to several potential uncertain factors and disruption risks. The assessment of these conditions is of critical importance to be considered while designing biomass-based supply chains to achieve resilient supply chains. This work explores the decisional impact of biomass availability due to seasonality as an uncertain factor and the disruption risk of biomass supply caused by extreme climate conditions. The proposed methodological approach combines optimization with discrete-event simulation to evaluate the long-term economic viability of a supply chain design solution, analyzing the strategic variables defined by the optimization model in the simulation model subject to a plausible disruption scenario. The performance and capability of the supply chain to be prepared, respond, and recover from unexpected events is analyzed. The results show the advantage of the simulation-optimization approach to simulate scenarios allowing the improvement of supply chain design decisions accounting for not only the impact of uncertainty but also disruption events occurrence.
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Acknowledgments
The authors would like to acknowledge the financial support by UE/FEDER funds through program COMPETE and FCT Fundação para a Ciência e a Tecnologia under projects UIDB/00097/2020 and UIDB/00285/2020.
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Paulo, H., Vieira, M., Gonçalves, B.S., Pinto-Varela, T., Barbosa-Póvoa, A.P. (2023). An Approach to the Design of Resilient Biomass Supply Chain Using Discrete Event Simulation. In: Gonçalves dos Reis, J.C., Mendonça Freires, F.G., Vieira Junior, M. (eds) Industrial Engineering and Operations Management. IJCIEOM 2023. Springer Proceedings in Mathematics & Statistics, vol 431. Springer, Cham. https://doi.org/10.1007/978-3-031-47058-5_3
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