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A multi-objective integrated supplier selection-production-distribution model for re-furbished products: Towards a circular economy

Author

Listed:
  • Muneeb, Syed Mohd
  • Asim, Zainab
  • Hajiaghaei-Keshteli, Mostafa
  • Abbas, Haidar

Abstract

Re-furbishing is enabling technology for business models based on a circular economy. A company produces new products in the first phase and uses returned products to offer re-manufactured or re-furbished products in the second phase creating sustainable development. This paper aims to present an integrated supplier selection-distribution model of refurbished products. The three objectives of the given model are minimizing cost, minimizing carbon footprints and maximizing revenue generated from the process. The model starts with allocating the orders of re-furbishing essentials to selected suppliers and then generating an optimal distribution pattern of an integrated mix of returned products and re-furbishing essentials.Goal Programming is used to generate the results. Results show that the presented model optimally allocates orders to different suppliers and creates distribution patterns between intermediaries maintaining the flow of the supply chain This study is helpful for decision-makers to find solutions to supplier selection, order allocation, and product distribution problems as an integrated approach using a single model. Regarding the literature available and to the best of author's knowledge, this is the first attempt to develop an integrated model selecting the suppliers at one hand while creating the distribution patterns on the other hand under the operational constraints satisfying the objectives of cost and carbon footprints minimization and profit maximization. The model is helpful in achieving economical and social benefits by minimizing the cost and maximizing the revenue as well as environmental sustainability by minimizing the carbon foot-prints.

Suggested Citation

  • Muneeb, Syed Mohd & Asim, Zainab & Hajiaghaei-Keshteli, Mostafa & Abbas, Haidar, 2023. "A multi-objective integrated supplier selection-production-distribution model for re-furbished products: Towards a circular economy," Renewable and Sustainable Energy Reviews, Elsevier, vol. 175(C).
  • Handle: RePEc:eee:rensus:v:175:y:2023:i:c:s1364032123000126
    DOI: 10.1016/j.rser.2023.113156
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    as
    1. Kannan Govindan & P.C. Jha & Kiran Garg, 2016. "Product recovery optimization in closed-loop supply chain to improve sustainability in manufacturing," International Journal of Production Research, Taylor & Francis Journals, vol. 54(5), pages 1463-1486, March.
    2. Chung-Chi Hsieh & Hung-Lin Chang, 2021. "Sourcing with recycled materials: a contingent sourcing model with supply unavailability and setup time uncertainty for ripple effect mitigation," International Journal of Production Research, Taylor & Francis Journals, vol. 59(22), pages 6677-6701, November.
    3. Lee, Der-Horng & Dong, Meng, 2009. "Dynamic network design for reverse logistics operations under uncertainty," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 45(1), pages 61-71, January.
    4. Minjung Kwak, 2018. "Optimal Line Design of New and Remanufactured Products: A Model for Maximum Profit and Market Share with Environmental Consideration," Sustainability, MDPI, vol. 10(11), pages 1-15, November.
    5. Mahmure Övül Arıoğlu & Joseph Sarkis & Dileep G. Dhavale, 2021. "Selection of suppliers using Bayesian estimators: a case of concrete ring suppliers to Eurasia Tunnel of Turkey," International Journal of Production Research, Taylor & Francis Journals, vol. 59(18), pages 5678-5689, September.
    6. Ehsan Afshar Bakeshlou & Alireza Arshadi Khamseh & Mohammad Ali Goudarzian Asl & Javad Sadeghi & Mostafa Abbaszadeh, 2017. "Evaluating a green supplier selection problem using a hybrid MODM algorithm," Journal of Intelligent Manufacturing, Springer, vol. 28(4), pages 913-927, April.
    7. Salehi-Amiri, Amirhossein & Akbapour, Navid & Hajiaghaei-Keshteli, Mostafa & Gajpal, Yuvraj & Jabbarzadeh, Armin, 2022. "Designing an effective two-stage, sustainable, and IoT based waste management system," Renewable and Sustainable Energy Reviews, Elsevier, vol. 157(C).
    8. Fleischmann, Moritz & Bloemhof-Ruwaard, Jacqueline M. & Dekker, Rommert & van der Laan, Erwin & van Nunen, Jo A. E. E. & Van Wassenhove, Luk N., 1997. "Quantitative models for reverse logistics: A review," European Journal of Operational Research, Elsevier, vol. 103(1), pages 1-17, November.
    9. repec:grz:wpsses:2013-01 is not listed on IDEAS
    10. Qi Wang & Dunbing Tang & Shipei Li & Jun Yang & Miguel A. Salido & Adriana Giret & Haihua Zhu, 2019. "An Optimization Approach for the Coordinated Low-Carbon Design of Product Family and Remanufactured Products," Sustainability, MDPI, vol. 11(2), pages 1-22, January.
    11. Chen, Chen-Tung & Lin, Ching-Torng & Huang, Sue-Fn, 2006. "A fuzzy approach for supplier evaluation and selection in supply chain management," International Journal of Production Economics, Elsevier, vol. 102(2), pages 289-301, August.
    12. Ahmad Yusuf Adhami & Syed Mohd Muneeb & Mohammad Asim Nomani, 2017. "A multilevel decision making model for the supplier selection problem in a fuzzy situation," Operations Research and Decisions, Wroclaw University of Science and Technology, Faculty of Management, vol. 27(4), pages 5-26.
    13. Das, Kanchan & Chowdhury, Abdul H., 2012. "Designing a reverse logistics network for optimal collection, recovery and quality-based product-mix planning," International Journal of Production Economics, Elsevier, vol. 135(1), pages 209-221.
    14. Gaur, Jighyasu & Amini, Mehdi & Rao, A.K., 2017. "Closed-loop supply chain configuration for new and reconditioned products: An integrated optimization model," Omega, Elsevier, vol. 66(PB), pages 212-223.
    15. Alikhani, Reza & Torabi, S. Ali & Altay, Nezih, 2019. "Strategic supplier selection under sustainability and risk criteria," International Journal of Production Economics, Elsevier, vol. 208(C), pages 69-82.
    16. Xin Zhang & Gang Zhao & Yingxiu Qi & Botang Li, 2019. "A Robust Fuzzy Optimization Model for Closed-Loop Supply Chain Networks Considering Sustainability," Sustainability, MDPI, vol. 11(20), pages 1-24, October.
    17. Alireza Khamseh & Ebrahim Teimoury & Kamran Shahanaghi, 2021. "A new dynamic optimisation model for operational supply chain recovery," International Journal of Production Research, Taylor & Francis Journals, vol. 59(24), pages 7441-7456, December.
    18. Abbas Al-Refaie & Yasmeen Jarrar & Natalija Lepkova, 2021. "Sustainable Design of a Multi-Echelon Closed Loop Supply Chain under Uncertainty for Durable Products," Sustainability, MDPI, vol. 13(19), pages 1-34, October.
    19. Haidar Abbas & Zainab Asim & Zuhaib Ahmed & Sanyo Moosa, 2021. "Exploring and establishing the barriers to sustainable humanitarian supply chains using fuzzy interpretive structural modeling and fuzzy MICMAC analysis," Social Responsibility Journal, Emerald Group Publishing Limited, vol. 18(8), pages 1463-1484, September.
    20. Ghadge, Abhijeet & van der Werf, Sjoerd & Er Kara, Merve & Goswami, Mohit & Kumar, Pankaj & Bourlakis, Michael, 2020. "Modelling the impact of climate change risk on bioethanol supply chains," Technological Forecasting and Social Change, Elsevier, vol. 160(C).
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    1. Ramezani, Mohammad & Khazaei, Moein & Gholian-Jouybari, Fatemeh & Sandoval-Correa, Alejandro & Bonakdari, Hossein & Hajiaghaei-Keshteli, Mostafa, 2024. "Turquoise hydrogen and waste optimization: A Bi-objective closed-loop and sustainable supply chain model for a case in Mexico," Renewable and Sustainable Energy Reviews, Elsevier, vol. 195(C).

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