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Fuzzy criteria programming approach for optimising the TBL performance of closed loop supply chain network design problem

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  • Jyoti Dhingra Darbari

    (University of Delhi)

  • Devika Kannan

    (University of Southern Denmark)

  • Vernika Agarwal

    (University of Delhi)

  • P. C. Jha

    (University of Delhi)

Abstract

Immense concern for sustainability and increasing stakeholders’ involvement has sparked tremendous interest towards designing optimal supply chain networks with significant economic, environmental, and social influence. Central to the idea, this study aims to design a closed loop supply chain (CLSC) network for an Indian laptop manufacturer. The network configuration, which involves a manufacturer, suppliers, third party logistics providers (forward and reverse), retailers, customers and a non-government organisation (NGO), is modelled as a mixed integer linear programming problem with fuzzy goals of minimising environmental impact and maximising net profit and social impact, subject to fuzzy demand and capacity constraints. Profit is generated from the sale of primary and secondary laptops, earned tax credits, and revenue sharing with reverse logistics providers. The environmental implications are investigated by measuring the carbon emitted due to activities of manufacturing, assembling, dismantling, fabrication, and transportation. The social dimension is quantified in terms of the number of jobs created, training hours, community service hours, and donations to NGO. The novelty of the model rests on its quantification of the three triple bottom line (TBL) indicators and on its use of AHP–TOPSIS for modelling the multi-criteria perspectives of the stakeholders. Numerical weights for the triple lines of sustainability are utilized. Further, a fuzzy multi-objective programming approach that integrates fuzzy set theory with goal programming techniques is utilised to yield properly efficient solutions to the multi-objective problem and to provide a trade-off set for conflicting objectives. The significance of the CLSC model is empirically established as a decision support tool for improving the TBL performance of a particular Indian laptop manufacturer. Practical and theoretical implications are derived from the result analysis, and a generalised quantitative closed-loop model can be effectively adapted by other electronic manufacturers to increase their competitiveness, profitability, and to improve their TBL.

Suggested Citation

  • Jyoti Dhingra Darbari & Devika Kannan & Vernika Agarwal & P. C. Jha, 2019. "Fuzzy criteria programming approach for optimising the TBL performance of closed loop supply chain network design problem," Annals of Operations Research, Springer, vol. 273(1), pages 693-738, February.
    • Handle: RePEc:spr:annopr:v:273:y:2019:i:1:d:10.1007_s10479-017-2701-2
    DOI: 10.1007/s10479-017-2701-2
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    3. M. Alimohammadi & J. Behnamian, 2024. "Investigating digital transformation technologically enabled solutions in reverse logistics: a systematic review," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 26(11), pages 27137-27178, November.
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    11. Govindan, Kannan & Kilic, Merve & Uyar, Ali & Karaman, Abdullah S., 2021. "Drivers and value-relevance of CSR performance in the logistics sector: A cross-country firm-level investigation," International Journal of Production Economics, Elsevier, vol. 231(C).
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    18. Muhammad Adeel Munir & Amjad Hussain & Muhammad Farooq & Muhammad Salman Habib & Muhammad Faisal Shahzad, 2023. "Data-Driven Transformation: The Role of Ambidexterity and Analytics Capability in Building Dynamic and Sustainable Supply Chains," Sustainability, MDPI, vol. 15(14), pages 1-37, July.
    19. Luttiely Santos Oliveira & Ricardo Luiz Machado, 2021. "Application of optimization methods in the closed-loop supply chain: a literature review," Journal of Combinatorial Optimization, Springer, vol. 41(2), pages 357-400, February.
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    21. Navid Zarbakhshnia & Kannan Govindan & Devika Kannan & Mark Goh, 2023. "Outsourcing logistics operations in circular economy towards to sustainable development goals," Business Strategy and the Environment, Wiley Blackwell, vol. 32(1), pages 134-162, January.
    22. Mastrocinque, Ernesto & Ramírez, F. Javier & Honrubia-Escribano, Andrés & Pham, Duc T., 2022. "Industry 4.0 enabling sustainable supply chain development in the renewable energy sector: A multi-criteria intelligent approach," Technological Forecasting and Social Change, Elsevier, vol. 182(C).
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    24. Rukiye Kaya & Said Salhi & Virginia Spiegler, 2023. "A novel integration of MCDM methods and Bayesian networks: the case of incomplete expert knowledge," Annals of Operations Research, Springer, vol. 320(1), pages 205-234, January.

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