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A Flexible Robust Possibilistic Programming Approach for Sustainable Second-Generation Biogas Supply Chain Design under Multiple Uncertainties

Author

Listed:
  • Mohammad Kanan

    (Jeddah College of Engineering, University of Business and Technology, Jeddah 21448, Saudi Arabia)

  • Muhammad Salman Habib

    (Department of Industrial and Manufacturing Engineering, University of Engineering and Technology, Lahore 54890, Pakistan)

  • Tufail Habib

    (Department of Industrial Engineering, University of Engineering and Technology, Peshawar 25000, Pakistan)

  • Sadaf Zahoor

    (Department of Industrial and Manufacturing Engineering, University of Engineering and Technology, Lahore 54890, Pakistan)

  • Anas Gulzar

    (Department of Industrial and Manufacturing Engineering, University of Engineering and Technology, Lahore 54890, Pakistan)

  • Hamid Raza

    (Department of Chemistry, University of Management and Technology, C-II Phase 1 Johar Town, Lahore 54770, Pakistan)

  • Zaher Abusaq

    (Jeddah College of Engineering, University of Business and Technology, Jeddah 21448, Saudi Arabia)

Abstract

The goal of this research is to develop a novel second-generation-based biogas supply chain network design (BG-SCND) model that takes into account the triple bottom line approach. Biogas is a promising renewable energy source that can be obtained from a variety of easily accessible second-generation wastes, including animal manure, municipal waste, and agricultural leftovers. Integrated optimization of the biogas generation system is essential for a speedy and environmentally friendly transition to sustainable biodiesel production. The dynamic environment of the energy market significantly impairs the decisions of the BG-SCND model; therefore, a hybrid solution approach using flexible programming and possibilistic programming is suggested. To verify the suggested model and approach for solving the problem, a thorough computational analysis of a case study is conducted. The case study findings demonstrate that considerable investment is necessary to attain social and environmental well-being goals and safeguard decisions against epistemic uncertainty. Policymakers involved in the planning of biogas production and distribution projects may find the proposed approach useful.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:18:p:11597-:d:915964
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    References listed on IDEAS

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    2. Zaher Abusaq & Muhammad Salman Habib & Adeel Shehzad & Mohammad Kanan & Ramiz Assaf, 2022. "A Flexible Robust Possibilistic Programming Approach toward Wood Pellets Supply Chain Network Design," Mathematics, MDPI, vol. 10(19), pages 1-27, October.
    3. Sungyong Choi, 2023. "Special Issue on Advances in Operations and Supply Chain Management with Sustainability Considerations," Sustainability, MDPI, vol. 15(6), pages 1-4, March.
    4. Mohammad Kanan & Ansa Rida Dilshad & Sadaf Zahoor & Amjad Hussain & Muhammad Salman Habib & Amjad Mehmood & Zaher Abusaq & Allam Hamdan & Jihad Asad, 2023. "An Empirical Study of the Implementation of an Integrated Ergo-Green-Lean Framework: A Case Study," Sustainability, MDPI, vol. 15(13), pages 1-24, June.

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