Document Type : Original Research
Authors
1 Department of Industrial Management, Persian Gulf University, Bushehr, Iran
2 Department of Operations Management and Information Technology, Kharazmi University, Tehran, Iran
Abstract
The increased knowledge about environment and decline in reservoirs of fossil resources has led the industry to enhance and produce other sustainable fuels by using renewable, which are environmentally acceptable. Biofuel is a kind of fuel derived from biomass resources. Biomass is also the source of fossil fuels that are used today; however, this biomass has been formed over long years. The reduction in fossil fuel resources and the destructive effect of these fuels on the environment have made researchers replace such resources. Therefore, the extant study presented a multi-objective mathematical model for a biofuel sustainable supply chain, by consideration of demand uncertainty. Finally, the research developed the mathematical model considering uncertainty and using Bertsimas and Sim Robustness Approach. According to the proposed model, sustainability objectives were discussed and investigated, including economic, social, and environmental issues. Ultimately, the presented model was confirmed by using the epsilon constrained method (ε constrained method) and the model was validated using the integrated ε constrained-Benders Approach.
Keywords
Main Subjects
|
COPYRIGHTS |
©2022 The author(s). This is an open access article distributed under the terms of the Creative Commons Attribution (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, as long as the original authors and source are cited. No permission is required from the authors or the publishers.
Aghaei, J., Amjady, N., & Shayanfar, H. A. (2011). Multi-objective electricity market clearing considering dynamic security by lexicographic optimization and augmented epsilon constraint method. Applied Soft Computing, 11(4), 3846–3858.
Ahmadi, A., Mousazadeh, M., Torabi, S. A., & Pishvaee, M. S. (2018). OR applications in pharmaceutical supply chain management. In Operations research applications in health care management (pp. 461–491). Springer.
Akgul, O., Zamboni, A., Bezzo, F., Shah, N., & Papageorgiou, L. G. (2011). Optimization-based approaches for bioethanol supply chains. Industrial & Engineering Chemistry Research, 50(9), 4927–4938.
Albashabsheh, N. T., & Stamm, J. L. H. (2019). Optimization of lignocellulosic biomass-to-biofuel supply chains with mobile pelleting. Transportation Research Part E: Logistics and Transportation Review, 122, 545–562.
An, H., Wilhelm, W. E., & Searcy, S. W. (2011). A mathematical model to design a lignocellulosic biofuel supply chain system with a case study based on a region in Central Texas. Bioresource Technology, 102(17), 7860–7870.
Azadeh, A., & Arani, H. V. (2016). Biodiesel supply chain optimization via a hybrid system dynamics-mathematical programming approach. Renewable Energy, 93, 383–403.
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.
Babazadeh, R., Razmi, J., Pishvaee, M. S., & Rabbani, M. (2015). A non-radial DEA model for location optimization of Jatropha curcas L. cultivation. Industrial Crops and Products, 69, 197–203.
Balaman, Ş. Y., & Selim, H. (2014). A network design model for biomass to energy supply chains with anaerobic digestion systems. Applied Energy, 130, 289–304.
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.
Cambero, C., Sowlati, T., & Pavel, M. (2016). Economic and life cycle environmental optimization of forest-based biorefinery supply chains for bioenergy and biofuel production. Chemical Engineering Research and Design, 107, 218–235.
Chen, C.-W., & Fan, Y. (2012). Bioethanol supply chain system planning under supply and demand uncertainties. Transportation Research Part E: Logistics and Transportation Review, 48(1), 150–164.
Chibeles-Martins, N., Pinto-Varela, T., Barbosa-Póvoa, A. P., & Novais, A. Q. (2016). A multi-objective meta-heuristic approach for the design and planning of green supply chains-MBSA. Expert Systems with Applications, 47, 71–84.
Dal-Mas, M., Giarola, S., Zamboni, A., & Bezzo, F. (2011). Strategic design and investment capacity planning of the ethanol supply chain under price uncertainty. Biomass and Bioenergy, 35(5), 2059–2071.
De Meyer, A., Cattrysse, D., Rasinmäki, J., & Van Orshoven, J. (2014). Methods to optimise the design and management of biomass-for-bioenergy supply chains: A review. Renewable and Sustainable Energy Reviews, 31, 657–670.
De Meyer, A., Cattrysse, D., & Van Orshoven, J. (2016). Considering biomass growth and regeneration in the optimisation of biomass supply chains. Renewable Energy, 87, 990–1002.
Duarte, A., Sarache, W., & Costa, Y. (2016). Biofuel supply chain design from Coffee Cut Stem under environmental analysis. Energy, 100, 321–331.
Dunnett, A., Adjiman, C., & Shah, N. (2007). Biomass to heat supply chains: applications of process optimization. Process Safety and Environmental Protection, 85(5), 419–429.
Ekşioğlu, S. D., Acharya, A., Leightley, L. E., & Arora, S. (2009). Analyzing the design and management of biomass-to-biorefinery supply chain. Computers & Industrial Engineering, 57(4), 1342–1352.
Flisberg, P., Frisk, M., & Rönnqvist, M. (2012). FuelOpt: a decision support system for forest fuel logistics. Journal of the Operational Research Society, 63(11), 1600–1612.
Foo, D. C. Y. (2019). A simple mathematical model for palm biomass supply chain. In Green technologies for the oil palm industry (pp. 115–130). Springer.
Freppaz, D., Minciardi, R., Robba, M., Rovatti, M., Sacile, R., & Taramasso, A. (2004). Optimizing forest biomass exploitation for energy supply at a regional level. Biomass and Bioenergy, 26(1), 15–25.
Frombo, F., Minciardi, R., Robba, M., Rosso, F., & Sacile, R. (2009). Planning woody biomass logistics for energy production: A strategic decision model. Biomass and Bioenergy, 33(3), 372–383.
Frombo, F., Minciardi, R., Robba, M., & Sacile, R. (2009). A decision support system for planning biomass-based energy production. Energy, 34(3), 362–369.
Giarola, S., Bezzo, F., & Shah, N. (2013). A risk management approach to the economic and environmental strategic design of ethanol supply chains. Biomass and Bioenergy, 58, 31–51.
Gunnarsson, H., Rönnqvist, M., & Lundgren, J. T. (2004). Supply chain modelling of forest fuel. European Journal of Operational Research, 158(1), 103–123.
Habib, M. S., Asghar, O., Hussain, A., Imran, M., Mughal, M. P., & Sarkar, B. (2021). A robust possibilistic programming approach toward animal fat-based biodiesel supply chain network design under uncertain environment. Journal of Cleaner Production, 278, 122403.
Huang, Y., Chen, C.-W., & Fan, Y. (2010). Multistage optimization of the supply chains of biofuels. Transportation Research Part E: Logistics and Transportation Review, 46(6), 820–830.
Kang, S., Heo, S., Realff, M. J., & Lee, J. H. (2020). Three-stage design of high-resolution microalgae-based biofuel supply chain using geographic information system. Applied Energy, 265, 114773.
Kanzian, C., Kühmaier, M., Zazgornik, J., & Stampfer, K. (2013). Design of forest energy supply networks using multi-objective optimization. Biomass and Bioenergy, 58, 294–302.
Kim, J., Realff, M. J., & Lee, J. H. (2010). Simultaneous design and operation decisions for biorefmery supply chain networks: centralized vs. distributed system. IFAC Proceedings Volumes, 43(5), 73–78.
Kim, J., Realff, M. J., & Lee, J. H. (2011). Optimal design and global sensitivity analysis of biomass supply chain networks for biofuels under uncertainty. Computers & Chemical Engineering, 35(9), 1738–1751.
Kumar, P., Varkolu, M., Mailaram, S., Kunamalla, A., & Maity, S. K. (2019). Biorefinery polyutilization systems: Production of green transportation fuels from biomass. In Polygeneration with polystorage for chemical and energy hubs (pp. 373–407). Elsevier.
Lam, H. L., Klemeš, J. J., & Kravanja, Z. (2011). Model-size reduction techniques for large-scale biomass production and supply networks. Energy, 36(8), 4599–4608.
Lin, T., Rodríguez, L. F., Shastri, Y. N., Hansen, A. C., & Ting, K. C. (2014). Integrated strategic and tactical biomass–biofuel supply chain optimization. Bioresource Technology, 156, 256–266.
Long, H., Li, X., Wang, H., & Jia, J. (2013). Biomass resources and their bioenergy potential estimation: A review. Renewable and Sustainable Energy Reviews, 26, 344–352.
Mafakheri, F., & Nasiri, F. (2014). Modeling of biomass-to-energy supply chain operations: Applications, challenges and research directions. Energy Policy, 67, 116–126.
Maity, J. P., Bundschuh, J., Chen, C.-Y., & Bhattacharya, P. (2014). Microalgae for third generation biofuel production, mitigation of greenhouse gas emissions and wastewater treatment: Present and future perspectives–A mini review. Energy, 78, 104–113.
Mapemba, L. D., Epplin, F. M., Huhnke, R. L., & Taliaferro, C. M. (2008). Herbaceous plant biomass harvest and delivery cost with harvest segmented by month and number of harvest machines endogenously determined. Biomass and Bioenergy, 32(11), 1016–1027.
Mapemba, L. D., Epplin, F. M., Taliaferro, C. M., & Huhnke, R. L. (2007). Biorefinery feedstock production on conservation reserve program land. Applied Economic Perspectives and Policy, 29(2), 227–246.
Marvin, W. A., Schmidt, L. D., Benjaafar, S., Tiffany, D. G., & Daoutidis, P. (2012). Economic optimization of a lignocellulosic biomass-to-ethanol supply chain. Chemical Engineering Science, 67(1), 68–79.
Mavrotas, G. (2009). Effective implementation of the ε-constraint method in multi-objective mathematical programming problems. Applied Mathematics and Computation, 213(2), 455–465.
Max, M. D., & Johnson, A. H. (2019). Energy Resource Risk Factors. In Exploration and Production of Oceanic Natural Gas Hydrate (pp. 347–417). Springer.
Miret, C., Chazara, P., Montastruc, L., Negny, S., & Domenech, S. (2016). Design of bioethanol green supply chain: Comparison between first and second generation biomass concerning economic, environmental and social criteria. Computers & Chemical Engineering, 85, 16–35.
Mirhashemi, M. S., Mohseni, S., Hasanzadeh, M., & Pishvaee, M. S. (2018). Moringa oleifera biomass-to-biodiesel supply chain design: An opportunity to combat desertification in Iran. Journal of Cleaner Production, 203, 313–327.
Mobini, M., Sowlati, T., & Sokhansanj, S. (2011). Forest biomass supply logistics for a power plant using the discrete-event simulation approach. Applied Energy, 88(4), 1241–1250.
Mohseni, S., & Pishvaee, M. S. (2020). Data-driven robust optimization for wastewater sludge-to-biodiesel supply chain design. Computers & Industrial Engineering, 139, 105944.
Mohseni, S., Pishvaee, M. S., & Sahebi, H. (2016). Robust design and planning of microalgae biomass-to-biodiesel supply chain: A case study in Iran. Energy, 111, 736–755.
Mol, Rm., Jogems, M. A. H., Van Beek, P., & Gigler, J. K. (1997). Simulation and optimization of the logistics of biomass fuel collection. Netherlands Journal of Agricultural Science, 45(1), 217–228.
Nagel, J. (2000). Determination of an economic energy supply structure based on biomass using a mixed-integer linear optimization model. Ecological Engineering, 16, 91–102.
Ng, R. T. L., & Maravelias, C. T. (2017). Design of biofuel supply chains with variable regional depot and biorefinery locations. Renewable Energy, 100, 90–102.
Nugroho, Y. K., & Zhu, L. (2019). Platforms planning and process optimization for biofuels supply chain. Renewable Energy, 140, 563–579.
Nur, F., Aboytes-Ojeda, M., Castillo-Villar, K. K., & Marufuzzaman, M. (2021). A two-stage stochastic programming model for biofuel supply chain network design with biomass quality implications. IISE Transactions, 53(8), 845–868.
Paolucci, N., Bezzo, F., & Tugnoli, A. (2016). A two-tier approach to the optimization of a biomass supply chain for pyrolysis processes. Biomass and Bioenergy, 84, 87–97.
Rentizelas, A. A., Tatsiopoulos, I. P., & Tolis, A. (2009). An optimization model for multi-biomass tri-generation energy supply. Biomass and Bioenergy, 33(2), 223–233.
Roni, M. S., Eksioglu, S. D., Cafferty, K. G., & Jacobson, J. J. (2017). A multi-objective, hub-and-spoke model to design and manage biofuel supply chains. Annals of Operations Research, 249(1), 351–380.
Sarker, B. R., Wu, B., & Paudel, K. P. (2019). Modeling and optimization of a supply chain of renewable biomass and biogas: Processing plant location. Applied Energy, 239, 343–355.
Scaldaferri, C. A., & Pasa, V. M. D. (2019). Production of jet fuel and green diesel range biohydrocarbons by hydroprocessing of soybean oil over niobium phosphate catalyst. Fuel, 245, 458–466.
Shabani, N., Akhtari, S., & Sowlati, T. (2013). Value chain optimization of forest biomass for bioenergy production: A review. Renewable and Sustainable Energy Reviews, 23, 299–311.
Soares, R., Marques, A., Amorim, P., & Rasinmäki, J. (2019). Multiple vehicle synchronisation in a full truck-load pickup and delivery problem: A case-study in the biomass supply chain. European Journal of Operational Research, 277(1), 174–194.
Tembo, G., Epplin, F. M., & Huhnke, R. L. (2003). Integrative investment appraisal of a lignocellulosic biomass-to-ethanol industry. Journal of Agricultural and Resource Economics, 611–633.
Vlachos, D., Iakovou, E., Karagiannidis, A., & Toka, A. (2008). A strategic supply chain management model for waste biomass networks. 3rd International Conference on Manufacturing Engineering, 797–804.
Yadala, S., Smith, J. D., Young, D., Crunkleton, D. W., & Cremaschi, S. (2020). Optimization of the algal biomass to biodiesel supply chain: case studies of the state of Oklahoma and the United States. Processes, 8(4), 476.
Ye, F., Li, Y., & Yang, Q. (2018). Designing coordination contract for biofuel supply chain in China. Resources, Conservation and Recycling, 128, 306–314.
You, F., Tao, L., Graziano, D. J., & Snyder, S. W. (2012). Optimal design of sustainable cellulosic biofuel supply chains: multiobjective optimization coupled with life cycle assessment and input–output analysis. AIChE Journal, 58(4), 1157–1180.
You, F., & Wang, B. (2011). Life cycle optimization of biomass-to-liquid supply chains with distributed–centralized processing networks. Industrial & Engineering Chemistry Research, 50(17), 10102–10127.
Yue, D., You, F., & Snyder, S. W. (2014). Biomass-to-bioenergy and biofuel supply chain optimization: Overview, key issues and challenges. Computers & Chemical Engineering, 66, 36–56.
Zamboni, A., Bezzo, F., & Shah, N. (2009). Spatially explicit static model for the strategic design of future bioethanol production systems. 2. Multi-objective environmental optimization. Energy & Fuels, 23(10), 5134–5143.
Zheng, T., Wang, B., Rajaeifar, M. A., Heidrich, O., Zheng, J., Liang, Y., & Zhang, H. (2020). How government policies can make waste cooking oil-to-biodiesel supply chains more efficient and sustainable. Journal of Cleaner Production, 263, 121494.
Zhu, X., Li, X., Yao, Q., & Chen, Y. (2011). Challenges and models in supporting logistics system design for dedicated-biomass-based bioenergy industry. Bioresource Technology, 102(2), 1344–1351.
Zhu, X., & Yao, Q. (2011). Logistics system design for biomass-to-bioenergy industry with multiple types of feedstocks. Bioresource Technology, 102(23), 10936–10945.
)