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A stochastic programming approach toward optimal design and planning of an integrated green biodiesel supply chain network under uncertainty: A case study

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  • Ghelichi, Zabih
  • Saidi-Mehrabad, Mohammad
  • Pishvaee, Mir Saman

Abstract

Biodiesel has recently attracted much interest as an appropriate alternative for the fossil diesel which is mostly consumed in the transportation sector. Meanwhile, Jatropha Curcas L. has emerged as one of the most promising biofuel feedstocks due largely to its salient features such as compatibility with arid and semi-arid lands. In this regard, this paper unveils a two-stage stochastic programming model for the design of an integrated green biodiesel supply chain network from Jatropha Curcas feedstocks. The concerned biodiesel supply chain design is an environmentally friendly mixed-integer linear programming, multi-period and multi-product model. Furthermore, a flexible stochastic programming approach is developed and applied to the supply chain network model. This proposed approach is indeed an extension of a two-stage scenario-based stochastic programming approach which incorporates min-max relative regret in a soft worst-case framework. Given the natural variability of long-term decision-making, fuel demand and Jatropha Curcas trees yielding are hemmed in by uncertainty in this model. The performance of the proposed framework and biodiesel supply chain network design is corroborated through ten realizations and a myriad of various analyses in a real case study of Iran. The derived results and their analyses acknowledge the efficiency and applicability of the model.

Suggested Citation

  • Ghelichi, Zabih & Saidi-Mehrabad, Mohammad & Pishvaee, Mir Saman, 2018. "A stochastic programming approach toward optimal design and planning of an integrated green biodiesel supply chain network under uncertainty: A case study," Energy, Elsevier, vol. 156(C), pages 661-687.
    • Handle: RePEc:eee:energy:v:156:y:2018:i:c:p:661-687
    DOI: 10.1016/j.energy.2018.05.103
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    Cited by:

    1. Yadegari, Mahsa & Sahebi, Hadi & Razm, Sobhan & Ashayeri, Jalal, 2023. "A sustainable multi-objective optimization model for the design of hybrid power supply networks under uncertainty," Renewable Energy, Elsevier, vol. 219(P1).
    2. Soheyl Khalilpourazari & Hossein Hashemi Doulabi, 2023. "A flexible robust model for blood supply chain network design problem," Annals of Operations Research, Springer, vol. 328(1), pages 701-726, September.
    3. Sojung Kim & Junyoung Seo & Sumin Kim, 2024. "Machine Learning Technologies in the Supply Chain Management Research of Biodiesel: A Review," Energies, MDPI, vol. 17(6), pages 1-15, March.
    4. Becerra-Fernandez, Mauricio & Cosenz, Federico & Dyner, Isaac, 2020. "Modeling the natural gas supply chain for sustainable growth policy," Energy, Elsevier, vol. 205(C).
    5. Chun Hsion Lim & Wei Xin Chua & Yi Wen Pang & Bing Shen How & Wendy Pei Qin Ng & Sin Yong Teng & Wei Dong Leong & Sue Lin Ngan & Hon Loong Lam, 2020. "A Diverse and Sustainable Biodiesel Supply Chain Optimisation Model Based on Properties Integration," Sustainability, MDPI, vol. 12(20), pages 1-18, October.
    6. Hoo Poh Ying & Cassendra Bong Phun Chien & Fan Yee Van, 2020. "Operational Management Implemented in Biofuel Upstream Supply Chain and Downstream International Trading: Current Issues in Southeast Asia," Energies, MDPI, vol. 13(7), pages 1-26, April.
    7. Jahani, Hamed & Abbasi, Babak & Sheu, Jiuh-Biing & Klibi, Walid, 2024. "Supply chain network design with financial considerations: A comprehensive review," European Journal of Operational Research, Elsevier, vol. 312(3), pages 799-839.
    8. Arabi, Mahsa & Yaghoubi, Saeed & Tajik, Javad, 2019. "A mathematical model for microalgae-based biobutanol supply chain network design under harvesting and drying uncertainties," Energy, Elsevier, vol. 179(C), pages 1004-1016.
    9. Shahbazbegian, Vahid & Hosseini-Motlagh, Seyyed-Mahdi & Haeri, Abdorrahman, 2020. "Integrated forward/reverse logistics thin-film photovoltaic power plant supply chain network design with uncertain data," Applied Energy, Elsevier, vol. 277(C).
    10. Sesini, Marzia & Giarola, Sara & Hawkes, Adam D., 2021. "Strategic natural gas storage coordination among EU member states in response to disruption in the trans Austria gas pipeline: A stochastic approach to solidarity," Energy, Elsevier, vol. 235(C).
    11. Zheng, Yanan & Ren, Dongming & Guo, Zheyu & Hu, Zhaoguang & Wen, Quan, 2019. "Research on integrated resource strategic planning based on complex uncertainty simulation with case study of China," Energy, Elsevier, vol. 180(C), pages 772-786.
    12. Xiao Zhao & Xuhui Xia & Lei Wang & Guodong Yu, 2018. "Risk-Averse Facility Location for Green Closed-Loop Supply Chain Networks Design under Uncertainty," Sustainability, MDPI, vol. 10(11), pages 1-17, November.
    13. Batool Madani & Afef Saihi & Akmal Abdelfatah, 2024. "A Systematic Review of Sustainable Supply Chain Network Design: Optimization Approaches and Research Trends," Sustainability, MDPI, vol. 16(8), pages 1-33, April.
    14. Mohtashami, Zahra & Bozorgi-Amiri, Ali & Tavakkoli-Moghaddam, Reza, 2021. "A two-stage multi-objective second generation biodiesel supply chain design considering social sustainability: A case study," Energy, Elsevier, vol. 233(C).
    15. Mohammad Kanan & Muhammad Salman Habib & Tufail Habib & Sadaf Zahoor & Anas Gulzar & Hamid Raza & Zaher Abusaq, 2022. "A Flexible Robust Possibilistic Programming Approach for Sustainable Second-Generation Biogas Supply Chain Design under Multiple Uncertainties," Sustainability, MDPI, vol. 14(18), pages 1-32, September.

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