How to cite this paper
Aal, M. (2024). Matheuristic approach and a mixed-integer linear programming model for biomass supply chain optimization with demand selection.International Journal of Industrial Engineering Computations , 15(1), 235-254.
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Abdel-Aal, M. A. M., & Selim, S. Z. (2017). Risk-averse multi-product selective newsvendor problem with different market entry scenarios under CVaR criterion. Computers and Industrial Engineering, 103, 250–261. https://doi.org/10.1016/j.cie.2016.11.026
Abdel-Aal, M. A. M., & Selim, S. Z. (2019). Robust optimization for selective newsvendor problem with uncertain demand. Computers and Industrial Engineering, 135, 838–854. https://doi.org/10.1016/j.cie.2019.06.047
Abdel-Aal, M. A. M., Syed, M. N., & Selim, S. Z. (2017). Multi-product selective newsvendor problem with service level constraints and market selection flexibility. International Journal of Production Research, 55(1), 96–117. https://doi.org/10.1080/00207543.2016.1195932
Ahmadvand, S., & Sowlati, T. (2022). A robust optimization model for tactical planning of the forest-based biomass supply chain for syngas production. Computers and Chemical Engineering, 159, 107693. https://doi.org/10.1016/j.compchemeng.2022.107693
Akhtari, S., Sowlati, T., & Day, K. (2014). The effects of variations in supply accessibility and amount on the economics of using regional forest biomass for generating district heat. Energy, 67, 631–640. https://doi.org/10.1016/j.energy.2014.01.092
Alberizzi, J. C., Rossi, M., & Renzi, M. (2020). A MILP algorithm for the optimal sizing of an off-grid hybrid renewable energy system in South Tyrol. Energy Reports 6th International Conference on Energy and Environment Research—Energy and environment: Challenges towards circular economy 6, 21–26, 6, 21–26. https://doi.org/10.1016/j.egyr.2019.08.012
Allen, J., Browne, M., Hunter, A., Boyd, J., & Palmer, H. (1998). Logistics management and costs of biomass fuel supply. International Journal of Physical Distribution and Logistics Management, 28(6), 463–477. https://doi.org/10.1108/09600039810245120
Atashbar, N. Z., Labadie, N., & Prins, C. (2016). Modeling and optimization of biomass supply chains: A review and a critical look. IFAC-PapersOnLine, 49(12), 604–615. https://doi.org/10.1016/j.ifacol.2016.07.742
Ba, B. H., Prins, C., & Prodhon, C. (2016). Models for optimization and performance evaluation of biomass supply chains: An Operations Research perspective. Renewable Energy, 87, 977–989. https://doi.org/10.1016/j.renene.2015.07.045
Bai, Y., Hwang, T., Kang, S., & Ouyang, Y. (2011). Biofuel refinery location and supply chain planning under traffic congestion. Transportation Research. Part B, Methodological, 45(1), 162–175. https://doi.org/10.1016/j.trb.2010.04.006
Bruglieri, M., & Liberti, L. (2008). Optimal running and planning of a biomass-based energy production process. Energy Policy, 36(7), 2430–2438. https://doi.org/10.1016/j.enpol.2008.01.009
Cambero, C., & Sowlati, T. (2014). Assessment and optimization of forest biomass supply chains from economic, social and environmental perspectives – A review of literature. Renewable and Sustainable Energy Reviews, 36, 62–73. https://doi.org/10.1016/j.rser.2014.04.041
Cao, J. X., Zhang, Z., & Zhou, Y. (2021). A location-routing problem for biomass supply chains. Computers and Industrial Engineering, 152, 107017. https://doi.org/10.1016/j.cie.2020.107017
Chahar, K., & Taaffe, K. (2009). Risk averse demand selection with all-or-nothing orders. Omega, 37(5), 996–1006. https://doi.org/10.1016/j.omega.2008.11.004
Demirbas, M. F., Balat, M., & Balat, H. (2009). Potential contribution of biomass to the sustainable energy development. Energy Conversion and Management, 50(7), 1746–1760. https://doi.org/10.1016/j.enconman.2009.03.013
Duarte, A., Sánchez-Oro, J., Mladenović, N., & Todosijević, R. (2018). Variable neighborhood descent, in: Martí, R., Pardalos, P.M., & Resende, M.G.C. (Eds.), Handbook of Heuristics. Springer International Publishing, Cham, pp. 341–367. https://doi.org/10.1007/978-3-319-07124-4_9
Duc, D. N., Meejaroen, P., & Nananukul, N. (2021). Multi-objective models for biomass supply chain planning with economic and carbon footprint consideration. Energy Reports, 7, 6833–6843. https://doi.org/10.1016/j.egyr.2021.10.071
Ekşioğlu, S. D., Acharya, A., Leightley, L. E., & Arora, S. (2009). Analyzing the design and management of biomass-to-biorefinery supply chain. Computers and Industrial Engineering, 57(4), 1342–1352. https://doi.org/10.1016/j.cie.2009.07.003
Fattahi, M., Govindan, K., & Farhadkhani, M. (2021). Sustainable supply chain planning for biomass-based power generation with environmental risk and supply uncertainty considerations: A real-life case study. International Journal of Production Research, 59(10), 3084–3108. https://doi.org/10.1080/00207543.2020.1746427
Geunes, J., Merzifonluolu, Y., Romeijn, H. E., & Taaffe, K. (2005). Demand selection and assignment problems in supply chain planning, in: Emerging Theory, Methods, and Applications, INFORMS TutORials in Operations Research. INFORMS, pp. 124–141. https://doi.org/10.1287/educ.1053.0014
Ghadimi, F., Aouam, T., & Uzsoy, R. (2023). Safety stock placement with market selection under load-dependent lead times. IISE Transactions, 55(3), 314–328. https://doi.org/10.1080/24725854.2022.2074578
Gital Durmaz, Y. G., & Bilgen, B. (2020). Multi-objective optimization of sustainable biomass supply chain network design. Applied Energy, 272, 115259. https://doi.org/10.1016/j.apenergy.2020.115259
Gonela, V. (2018). Stochastic optimization of hybrid electricity supply chain considering carbon emission schemes. Sustainable Production and Consumption, 14, 136–151. https://doi.org/10.1016/j.spc.2018.02.004
Gumte, K., Pantula, P. D., Miriyala, S. S., & Mitra, K. (2021). Achieving wealth from bio-waste in a nationwide supply chain setup under uncertain environment through data driven robust optimization approach. Journal of Cleaner Production, 291, 125702. https://doi.org/10.1016/j.jclepro.2020.125702
Guo, J.-X., Tan, X., Zhu, K., & Gu, B. (2022). Integrated management of mixed biomass for hydrogen production from gasification. Chemical Engineering Research and Design, 179, 41–55. https://doi.org/10.1016/j.cherd.2022.01.012
Han, S.-K., & Murphy, G. E. (2012). Solving a woody biomass truck scheduling problem for a transport company in Western Oregon, USA. Biomass and Bioenergy, 44, 47–55. https://doi.org/10.1016/j.biombioe.2012.04.015
Hansen, P., Mladenović, N., Brimberg, J., & Pérez, J. A. M. (2019). Variable neighborhood search, in: Gendreau, M., Potvin, J.-Y. (Eds.), Handbook of Metaheuristics, International Series in Operations Research & Management Science. Springer International Publishing, Cham, pp. 57–97. https://doi.org/10.1007/978-3-319-91086-4_3
Hansen, P., Mladenović, N., Todosijević, R., & Hanafi, S. (2017). Variable neighborhood search: Basics and variants. EURO Journal on Computational Optimization, 5(3), 423–454. https://doi.org/10.1007/s13675-016-0075-x
Holm-Nielsen, J. B. (2016). 1. Introduction to biomass supply chains, in: Holm-Nielsen, Jens Bo, Ehimen, E.A. (Eds.), Biomass Supply Chains for Bioenergy and Biorefining. Woodhead Publishing, pp. 3–13. https://doi.org/10.1016/B978-1-78242-366-9.00001-0
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Li, Z., & Hai, J. (2019). A capacitated location-inventory model with demand selection. Journal of Advanced Transportation, 2019, 1–11. https://doi.org/10.1155/2019/2143042
Liu, W.-Y., Lin, C.-C., & Yeh, T.-L. (2017). Supply chain optimization of forest biomass electricity and bioethanol coproduction. Energy, 139, 630–645. https://doi.org/10.1016/j.energy.2017.08.018
Martinez-Valencia, L., Camenzind, D., Wigmosta, M., Garcia-Perez, M., & Wolcott, M. (2021). Biomass supply chain equipment for renewable fuels production: A review. Biomass and Bioenergy, 148, 106054. https://doi.org/10.1016/j.biombioe.2021.106054
Melis, E., Vincis, A., & Orrù, P. F. (2018). An overview of current models and approaches to biomass supply chain design and management. Current Sustainable/Renewable Energy Reports. Energy Rep. 5, 5(2), 138–149. https://doi.org/10.1007/s40518-018-0108-6
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Abdel-Aal, M. A. M., Syed, M. N., & Selim, S. Z. (2017). Multi-product selective newsvendor problem with service level constraints and market selection flexibility. International Journal of Production Research, 55(1), 96–117. https://doi.org/10.1080/00207543.2016.1195932
Ahmadvand, S., & Sowlati, T. (2022). A robust optimization model for tactical planning of the forest-based biomass supply chain for syngas production. Computers and Chemical Engineering, 159, 107693. https://doi.org/10.1016/j.compchemeng.2022.107693
Akhtari, S., Sowlati, T., & Day, K. (2014). The effects of variations in supply accessibility and amount on the economics of using regional forest biomass for generating district heat. Energy, 67, 631–640. https://doi.org/10.1016/j.energy.2014.01.092
Alberizzi, J. C., Rossi, M., & Renzi, M. (2020). A MILP algorithm for the optimal sizing of an off-grid hybrid renewable energy system in South Tyrol. Energy Reports 6th International Conference on Energy and Environment Research—Energy and environment: Challenges towards circular economy 6, 21–26, 6, 21–26. https://doi.org/10.1016/j.egyr.2019.08.012
Allen, J., Browne, M., Hunter, A., Boyd, J., & Palmer, H. (1998). Logistics management and costs of biomass fuel supply. International Journal of Physical Distribution and Logistics Management, 28(6), 463–477. https://doi.org/10.1108/09600039810245120
Atashbar, N. Z., Labadie, N., & Prins, C. (2016). Modeling and optimization of biomass supply chains: A review and a critical look. IFAC-PapersOnLine, 49(12), 604–615. https://doi.org/10.1016/j.ifacol.2016.07.742
Ba, B. H., Prins, C., & Prodhon, C. (2016). Models for optimization and performance evaluation of biomass supply chains: An Operations Research perspective. Renewable Energy, 87, 977–989. https://doi.org/10.1016/j.renene.2015.07.045
Bai, Y., Hwang, T., Kang, S., & Ouyang, Y. (2011). Biofuel refinery location and supply chain planning under traffic congestion. Transportation Research. Part B, Methodological, 45(1), 162–175. https://doi.org/10.1016/j.trb.2010.04.006
Bruglieri, M., & Liberti, L. (2008). Optimal running and planning of a biomass-based energy production process. Energy Policy, 36(7), 2430–2438. https://doi.org/10.1016/j.enpol.2008.01.009
Cambero, C., & Sowlati, T. (2014). Assessment and optimization of forest biomass supply chains from economic, social and environmental perspectives – A review of literature. Renewable and Sustainable Energy Reviews, 36, 62–73. https://doi.org/10.1016/j.rser.2014.04.041
Cao, J. X., Zhang, Z., & Zhou, Y. (2021). A location-routing problem for biomass supply chains. Computers and Industrial Engineering, 152, 107017. https://doi.org/10.1016/j.cie.2020.107017
Chahar, K., & Taaffe, K. (2009). Risk averse demand selection with all-or-nothing orders. Omega, 37(5), 996–1006. https://doi.org/10.1016/j.omega.2008.11.004
Demirbas, M. F., Balat, M., & Balat, H. (2009). Potential contribution of biomass to the sustainable energy development. Energy Conversion and Management, 50(7), 1746–1760. https://doi.org/10.1016/j.enconman.2009.03.013
Duarte, A., Sánchez-Oro, J., Mladenović, N., & Todosijević, R. (2018). Variable neighborhood descent, in: Martí, R., Pardalos, P.M., & Resende, M.G.C. (Eds.), Handbook of Heuristics. Springer International Publishing, Cham, pp. 341–367. https://doi.org/10.1007/978-3-319-07124-4_9
Duc, D. N., Meejaroen, P., & Nananukul, N. (2021). Multi-objective models for biomass supply chain planning with economic and carbon footprint consideration. Energy Reports, 7, 6833–6843. https://doi.org/10.1016/j.egyr.2021.10.071
Ekşioğlu, S. D., Acharya, A., Leightley, L. E., & Arora, S. (2009). Analyzing the design and management of biomass-to-biorefinery supply chain. Computers and Industrial Engineering, 57(4), 1342–1352. https://doi.org/10.1016/j.cie.2009.07.003
Fattahi, M., Govindan, K., & Farhadkhani, M. (2021). Sustainable supply chain planning for biomass-based power generation with environmental risk and supply uncertainty considerations: A real-life case study. International Journal of Production Research, 59(10), 3084–3108. https://doi.org/10.1080/00207543.2020.1746427
Geunes, J., Merzifonluolu, Y., Romeijn, H. E., & Taaffe, K. (2005). Demand selection and assignment problems in supply chain planning, in: Emerging Theory, Methods, and Applications, INFORMS TutORials in Operations Research. INFORMS, pp. 124–141. https://doi.org/10.1287/educ.1053.0014
Ghadimi, F., Aouam, T., & Uzsoy, R. (2023). Safety stock placement with market selection under load-dependent lead times. IISE Transactions, 55(3), 314–328. https://doi.org/10.1080/24725854.2022.2074578
Gital Durmaz, Y. G., & Bilgen, B. (2020). Multi-objective optimization of sustainable biomass supply chain network design. Applied Energy, 272, 115259. https://doi.org/10.1016/j.apenergy.2020.115259
Gonela, V. (2018). Stochastic optimization of hybrid electricity supply chain considering carbon emission schemes. Sustainable Production and Consumption, 14, 136–151. https://doi.org/10.1016/j.spc.2018.02.004
Gumte, K., Pantula, P. D., Miriyala, S. S., & Mitra, K. (2021). Achieving wealth from bio-waste in a nationwide supply chain setup under uncertain environment through data driven robust optimization approach. Journal of Cleaner Production, 291, 125702. https://doi.org/10.1016/j.jclepro.2020.125702
Guo, J.-X., Tan, X., Zhu, K., & Gu, B. (2022). Integrated management of mixed biomass for hydrogen production from gasification. Chemical Engineering Research and Design, 179, 41–55. https://doi.org/10.1016/j.cherd.2022.01.012
Han, S.-K., & Murphy, G. E. (2012). Solving a woody biomass truck scheduling problem for a transport company in Western Oregon, USA. Biomass and Bioenergy, 44, 47–55. https://doi.org/10.1016/j.biombioe.2012.04.015
Hansen, P., Mladenović, N., Brimberg, J., & Pérez, J. A. M. (2019). Variable neighborhood search, in: Gendreau, M., Potvin, J.-Y. (Eds.), Handbook of Metaheuristics, International Series in Operations Research & Management Science. Springer International Publishing, Cham, pp. 57–97. https://doi.org/10.1007/978-3-319-91086-4_3
Hansen, P., Mladenović, N., Todosijević, R., & Hanafi, S. (2017). Variable neighborhood search: Basics and variants. EURO Journal on Computational Optimization, 5(3), 423–454. https://doi.org/10.1007/s13675-016-0075-x
Holm-Nielsen, J. B. (2016). 1. Introduction to biomass supply chains, in: Holm-Nielsen, Jens Bo, Ehimen, E.A. (Eds.), Biomass Supply Chains for Bioenergy and Biorefining. Woodhead Publishing, pp. 3–13. https://doi.org/10.1016/B978-1-78242-366-9.00001-0
Irfan, M., Zhao, Z.-Y., Panjwani, M. K., Mangi, F. H., Li, H., Jan, A., Ahmad, M., & Rehman, A. (2020). Assessing the energy dynamics of Pakistan: Prospects of biomass energy. Energy Reports, 6, 80–93. https://doi.org/10.1016/j.egyr.2019.11.161
Ladanai, S., & Vinterbäck, J. (2009). Global potential of sustainable biomass for energy. (Report no. 013). Uppsala.
Leduc, S., Starfelt, F., Dotzauer, E., Kindermann, G., McCallum, I., Obersteiner, M., & Lundgren, J. (2010). Optimal location of lignocellulosic ethanol refineries with polygeneration in Sweden. Energy, 7th International Conference on Sustainable Energy Technologies 35, 35(6), 2709–2716. https://doi.org/10.1016/j.energy.2009.07.018
Li, Z., & Hai, J. (2019). A capacitated location-inventory model with demand selection. Journal of Advanced Transportation, 2019, 1–11. https://doi.org/10.1155/2019/2143042
Liu, W.-Y., Lin, C.-C., & Yeh, T.-L. (2017). Supply chain optimization of forest biomass electricity and bioethanol coproduction. Energy, 139, 630–645. https://doi.org/10.1016/j.energy.2017.08.018
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