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Determining cost effectiveness index of remanufacturing: A graph theoretic approach

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  • Sabharwal, Srishti
  • Garg, Suresh

Abstract

Remanufacturing is a powerful product recovery option which generates products as good as new ones, from old discarded ones. Growing concern for energy conservation and waste reduction led to the augmentation of this technique. However, like any other business, remanufacturing also considers cost saving as an important aspect before it can be adopted in any industry. Cost effectiveness of any business depends upon a number of economic and operational factors. This paper evaluates the economic viability of remanufacturing by using the graph theoretic approach. Several qualitative and quantitative parameters have been enlisted, based on which, the digraph and matrix technique has been applied, to calculate the maximum and minimum values of cost effectiveness index. In addition, the cost effectiveness index for five common products, that is, automobile engine, photocopy machine, industrial machinery, mobile phones and electronic household goods like television and music system have been calculated to illustrate the industrial applicability of this model.

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  • Sabharwal, Srishti & Garg, Suresh, 2013. "Determining cost effectiveness index of remanufacturing: A graph theoretic approach," International Journal of Production Economics, Elsevier, vol. 144(2), pages 521-532.
    • Handle: RePEc:eee:proeco:v:144:y:2013:i:2:p:521-532
    DOI: 10.1016/j.ijpe.2013.04.003
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    2. Kaihan Yang & Ai Chin Thoo, 2023. "Visualising the Knowledge Domain of Reverse Logistics and Sustainability Performance: Scientometric Mapping Based on VOSviewer and CiteSpace," Sustainability, MDPI, vol. 15(2), pages 1-23, January.
    3. Agrawal, Saurabh & Singh, Rajesh K. & Murtaza, Qasim, 2016. "Outsourcing decisions in reverse logistics: Sustainable balanced scorecard and graph theoretic approach," Resources, Conservation & Recycling, Elsevier, vol. 108(C), pages 41-53.
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    5. Hong, Xianpei & Xu, Lei & Du, Peng & Wang, Wenjuan, 2015. "Joint advertising, pricing and collection decisions in a closed-loop supply chain," International Journal of Production Economics, Elsevier, vol. 167(C), pages 12-22.
    6. Belhadi, Amine & Kamble, Sachin S. & Chiappetta Jabbour, Charbel Jose & Mani, Venkatesh & Khan, Syed Abdul Rehman & Touriki, Fatima Ezahra, 2022. "A self-assessment tool for evaluating the integration of circular economy and industry 4.0 principles in closed-loop supply chains," International Journal of Production Economics, Elsevier, vol. 245(C).
    7. Jain, Vineet & Raj, Tilak, 2016. "Modeling and analysis of FMS performance variables by ISM, SEM and GTMA approach," International Journal of Production Economics, Elsevier, vol. 171(P1), pages 84-96.
    8. Qian-wang Deng & Hao-lan Liao & Bo-wen Xu & Xia-hui Liu, 2017. "The Resource Benefits Evaluation Model on Remanufacturing Processes of End-of-Life Construction Machinery under the Uncertainty in Recycling Price," Sustainability, MDPI, vol. 9(2), pages 1-21, February.
    9. Liu, Baolong & Papier, Felix, 2022. "Remanufacturing of multi-component systems with product substitution," European Journal of Operational Research, Elsevier, vol. 301(3), pages 896-911.
    10. Gu, Wenjun & Chhajed, Dilip & Petruzzi, Nicholas C. & Yalabik, Baris, 2015. "Quality design and environmental implications of green consumerism in remanufacturing," International Journal of Production Economics, Elsevier, vol. 162(C), pages 55-69.
    11. Qianwang Deng & Xiahui Liu & Haolan Liao, 2015. "Identifying Critical Factors in the Eco-Efficiency of Remanufacturing Based on the Fuzzy DEMATEL Method," Sustainability, MDPI, vol. 7(11), pages 1-21, November.
    12. Masoud Rabbani & Ali Sabbaghnia & Mahdi Mobini & Jafar Razmi, 2020. "A graph theory-based algorithm for a multi-echelon multi-period responsive supply chain network design with lateral-transshipments," Operational Research, Springer, vol. 20(4), pages 2497-2517, December.

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