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A Decision Framework for Solar PV Panels Supply Chain in Context of Sustainable Supplier Selection and Order Allocation

Author

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  • Raja Awais Liaqait

    (Department of Mechanical Engineering, Capital University of Science and Technology, Islamabad 44000, Pakistan)

  • Salman Sagheer Warsi

    (Department of Mechanical Engineering, Capital University of Science and Technology, Islamabad 44000, Pakistan)

  • Taiba Zahid

    (NUST Business School, National University of Science & Technology, Islamabad 44000, Pakistan)

  • Usman Ghafoor

    (Department of Mechanical Engineering, Institute of Space Technology, Islamabad 44000, Pakistan)

  • Muhammad Shakeel Ahmad

    (Higher Institution Centre of Excellence (HICoE), UM Power Energy Dedicated Advanced Centre (UMPEDAC), University of Malaya, Kuala Lumpur 59990, Malaysia)

  • Jeyraj Selvaraj

    (Higher Institution Centre of Excellence (HICoE), UM Power Energy Dedicated Advanced Centre (UMPEDAC), University of Malaya, Kuala Lumpur 59990, Malaysia)

Abstract

Sustainable supplier selection and order allocation (SSSOA) is paramount to sustainable supply chain management. It is a complex multi-dimensional decision-making process augmented with the triple bottom line of sustainability. This research presents a multi-phase decision framework to address a SSSOA problem for the multi-echelon renewable energy equipment (Solar PV Panels) supply chain. The framework comprises of fuzzy Multi-Criteria Decision-Making techniques augmented with fuzzy multi-objective mixed-integer non-linear programming mathematical model. The various economic, environmental, and social objectives were optimized for a multi-period, multi-modal transportation network of the supply chain. The results show that among the various sustainable criteria selected in this study, product cost, environmental management system, and health and safety rights of employees are the most important for decision-makers. The results of the mathematical model highlighted the impact of multimodal transportation on overall cost, time, and environmental impact for all periods. An analysis of results revealed that transfer cost and customer clearance cost contribute significantly towards overall cost. Furthermore, defect rate was also observed to play a critical role in supplier selection and order allocation.

Suggested Citation

  • Raja Awais Liaqait & Salman Sagheer Warsi & Taiba Zahid & Usman Ghafoor & Muhammad Shakeel Ahmad & Jeyraj Selvaraj, 2021. "A Decision Framework for Solar PV Panels Supply Chain in Context of Sustainable Supplier Selection and Order Allocation," Sustainability, MDPI, vol. 13(23), pages 1-25, November.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:23:p:13216-:d:690829
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    References listed on IDEAS

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    Cited by:

    1. Sayan Chakraborty & Akshat Jain & S. P. Sarmah, 2022. "An integrated mathematical model based on grey optimal ranking for supplier selection considering pandemic situation," OPSEARCH, Springer;Operational Research Society of India, vol. 59(4), pages 1613-1648, December.
    2. Hmouda, Ahmed M.O. & Orzes, Guido & Sauer, Philipp C., 2024. "Sustainable supply chain management in energy production: A literature review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 191(C).
    3. Saheeb Ahmed Kayani & Salman Sagheer Warsi & Raja Awais Liaqait, 2023. "A Smart Decision Support Framework for Sustainable and Resilient Supplier Selection and Order Allocation in the Pharmaceutical Industry," Sustainability, MDPI, vol. 15(7), pages 1-30, March.
    4. Paweł Ziemba, 2023. "Selection of Photovoltaic Panels Based on Ranges of Criteria Weights and Balanced Assessment Criteria," Energies, MDPI, vol. 16(17), pages 1-18, September.

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