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A two-stage multi-objective second generation biodiesel supply chain design considering social sustainability: A case study

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  • Mohtashami, Zahra
  • Bozorgi-Amiri, Ali
  • Tavakkoli-Moghaddam, Reza

Abstract

Undesirable environmental impacts caused by fossil fuel consumption have motivated governments to focus on biofuels production. Therefore, in our paper, we design a multi-objective biodiesel supply chain from Jatropha, which includes biomass cultivation center, pretreatment, and oil extraction center, biorefinery, and demand zone. In our study, a two-stage approach presented, which first specifies candidate locations for biomass cultivation with a common weight data envelopment analysis (CWDEA) method and then strategic and tactical decisions were made by a mathematical model. The presented multi-objective model focuses on cost minimization, besides social benefits and environmental impacts maximization while a life cycle assessment approach is used to model social indicators. The capability of the model is validated by proposing a case study of Iran and the augmented ε-constraint method is employed to reach a trade-off between three pillars of sustainability while managerial insights are provided by employing a Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) method for the optimal solution selection. Model's results and sensitivity analysis on key parameters, specify the best locations for Jatropha Curcas L. (JCL) cultivation and facility construction as well as an optimal value of supply chain variables, which finally proves that Iran has a high potential for biodiesel production from JCL that leads improving balanced socio-economic development in this country.

Suggested Citation

  • 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).
    • Handle: RePEc:eee:energy:v:233:y:2021:i:c:s0360544221012688
    DOI: 10.1016/j.energy.2021.121020
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    2. Majid Azadi & Zohreh Moghaddas & Reza Farzipoor Saen & Angappa Gunasekaran & Sachin Kumar Mangla & Alessio Ishizaka, 2023. "Using network data envelopment analysis to assess the sustainability and resilience of healthcare supply chains in response to the COVID-19 pandemic," Annals of Operations Research, Springer, vol. 328(1), pages 107-150, September.
    3. Sainati, Tristano & Locatelli, Giorgio & Mignacca, Benito, 2023. "Social sustainability of energy infrastructures: The role of the programme governance framework," Energy, Elsevier, vol. 282(C).
    4. Gafti, Morteza & Sabouhi, Fatemeh & Bozorgi-Amiri, Ali & Jamili, Amin, 2023. "A multi-period location-routing model for waste-to-energy supply chain: A case study," Applied Energy, Elsevier, vol. 337(C).
    5. Mondal, Arijit & Giri, Binoy Krishna & Roy, Sankar Kumar, 2023. "An integrated sustainable bio-fuel and bio-energy supply chain: A novel approach based on DEMATEL and fuzzy-random robust flexible programming with Me measure," Applied Energy, Elsevier, vol. 343(C).
    6. Pardis Pourmohammadi & Reza Tavakkoli-Moghaddam & Yaser Rahimi & Chefi Triki, 2023. "Solving a hub location-routing problem with a queue system under social responsibility by a fuzzy meta-heuristic algorithm," Annals of Operations Research, Springer, vol. 324(1), pages 1099-1128, May.
    7. 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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