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Approaches to Performance Assessment in Reverse Supply Chains: A Systematic Literature Review

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  • Denilson Ricardo de Lucena Nunes

    (Department of Production Engineering, State University of Pará, Castanhal 68745-000, Brazil)

  • Danyelle de Sousa Nascimento

    (Department of Production Engineering, State University of Pará, Castanhal 68745-000, Brazil)

  • Jennifer Rodrigues Matos

    (Department of Production Engineering, State University of Pará, Castanhal 68745-000, Brazil)

  • André Cristiano Silva Melo

    (Department of Production Engineering, State University of Pará, Castanhal 68745-000, Brazil)

  • Vitor William Batista Martins

    (Department of Production Engineering, State University of Pará, Castanhal 68745-000, Brazil)

  • Antônio Erlindo Braga

    (Department of Production Engineering, State University of Pará, Castanhal 68745-000, Brazil)

Abstract

Background : The interest in the topic of performance assessment in reverse supply chains (RSC) is increasing, although the body of research is still in its early stages. As this is a developing field, it is crucial to expand discussions on topics that have not yet been thoroughly examined, such as the intrinsic bias of indicators and metrics that may be associated with specific operational, economic, environmental perspectives, etc. Such perspectives should be considered in the decision-making process within the context of reverse logistics (RL) and waste management (WM). The aim of this research was to identify different perspectives employed in the development of proposed models in the literature. Methods : A systematic literature review was conducted to analyze thirty papers from Scopus, Web of Science, and Science Direct databases without time restrictions. Results : The review identified various ways in which authors grouped perspectives, including qualitative and quantitative, sustainability, and operational perspectives, among others. Conclusions : This study revealed several gaps in the field, including limited studies on RSC performance assessment and a lack of studies linking performance assessment to decision-making components.

Suggested Citation

  • Denilson Ricardo de Lucena Nunes & Danyelle de Sousa Nascimento & Jennifer Rodrigues Matos & André Cristiano Silva Melo & Vitor William Batista Martins & Antônio Erlindo Braga, 2023. "Approaches to Performance Assessment in Reverse Supply Chains: A Systematic Literature Review," Logistics, MDPI, vol. 7(3), pages 1-15, June.
    • Handle: RePEc:gam:jlogis:v:7:y:2023:i:3:p:36-:d:1181981
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    References listed on IDEAS

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    1. Monireh Jahani Sayyad Noveiri & Sohrab Kordrostami & Jie Wu & Alireza Amirteimoori, 2019. "Supply chains performance with undesirable factors and reverse flows: A DEA-based approach," Journal of the Operational Research Society, Taylor & Francis Journals, vol. 70(1), pages 125-135, January.
    2. Xuanjing Fang & Yanan Du & Yuzhuo Qiu, 2017. "Reducing Carbon Emissions in a Closed-Loop Production Routing Problem with Simultaneous Pickups and Deliveries under Carbon Cap-and-Trade," Sustainability, MDPI, vol. 9(12), pages 1-15, November.
    3. Farzad Zaare Tajabadi & Sahand Daneshvar, 2023. "Benchmark Approach for Efficiency Improvement in Green Supply Chain Management with DEA Models," Sustainability, MDPI, vol. 15(5), pages 1-17, March.
    4. Yigit Kazancoglu & Esra Ekinci & Sachin Kumar Mangla & Muruvvet Deniz Sezer & Yasanur Kayikci, 2021. "Performance evaluation of reverse logistics in food supply chains in a circular economy using system dynamics," Business Strategy and the Environment, Wiley Blackwell, vol. 30(1), pages 71-91, January.
    5. 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.
    6. Haidar Abbas & Jamal A. Farooquie, 2020. "Reverse logistics practices in Indian pharmaceutical supply chains: a study of manufacturers," International Journal of Logistics Systems and Management, Inderscience Enterprises Ltd, vol. 35(1), pages 72-89.
    7. Mohammed Alkahtani & Aiman Ziout & Bashir Salah & Moath Alatefi & Abd Elatty E. Abd Elgawad & Ahmed Badwelan & Umar Syarif, 2021. "An Insight into Reverse Logistics with a Focus on Collection Systems," Sustainability, MDPI, vol. 13(2), pages 1-22, January.
    8. Van Engeland, Jens & Beliën, Jeroen & De Boeck, Liesje & De Jaeger, Simon, 2020. "Literature review: Strategic network optimization models in waste reverse supply chains," Omega, Elsevier, vol. 91(C).
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    1. Özden Özkanlısoy & Füsun Bulutlar, 2023. "Measuring Supply Chain Performance as SCOR v13.0-Based in Disruptive Technology Era: Scale Development and Validation," Logistics, MDPI, vol. 7(3), pages 1-35, September.

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