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Integrating Perishables into Closed-Loop Supply Chains: A Comprehensive Review

Author

Listed:
  • Mobin Zarreh

    (School of Computing and Augmented Intelligence, Arizona State University, Tempe, AZ 85287, USA)

  • Mohammad Khandan

    (School of Industrial Engineering, Iran University of Science and Technology, Tehran 13114-16846, Iran)

  • Alireza Goli

    (Department of Industrial Engineering and Future Studies, University of Isfahan, Isfahan 81746-73441, Iran)

  • Adel Aazami

    (Institute for Transport and Logistics, Vienna University of Economics and Business, 1020 Vienna, Austria)

  • Sebastian Kummer

    (Institute for Transport and Logistics, Vienna University of Economics and Business, 1020 Vienna, Austria)

Abstract

In an era where sustainability and efficient resource utilization are paramount, the closed-loop supply chain (CLSC) emerges as a critical approach, particularly in the context of perishable goods. The perishability of products adds a layer of complexity to supply chain management, necessitating innovative strategies for maximizing product life and minimizing waste. This comprehensive review article delves into the integration of perishable products within the framework of CLSC. The study thoroughly examines existing research to identify gaps and outline future research directions. It emphasizes the unique challenges and complexities of managing perishable goods, a crucial but often overlooked component in sustainable supply chain practices. The review highlights the balance between efficiency and sustainability, underscoring the importance of reverse logistics and circular economy principles in enhancing supply chain resilience. By synthesizing various methodologies and findings, the article presents a holistic view of the current state of perishable product management in CLSCs, offering valuable insights for academia and industry practitioners. The study not only contributes to the theoretical understanding of CLSCs, but also proposes practical approaches for their optimization, aligning with broader sustainability goals.

Suggested Citation

  • Mobin Zarreh & Mohammad Khandan & Alireza Goli & Adel Aazami & Sebastian Kummer, 2024. "Integrating Perishables into Closed-Loop Supply Chains: A Comprehensive Review," Sustainability, MDPI, vol. 16(15), pages 1-45, August.
  • Handle: RePEc:gam:jsusta:v:16:y:2024:i:15:p:6705-:d:1450437
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    References listed on IDEAS

    as
    1. Shangjie Ge-Zhang & Taoyang Cai & Zhitao Hu & Haotong Zhu & Pingxuan Mu & Jingang Cui, 2023. "Investigation and Suggestions regarding Residents’ Understanding of Waste Classification in Chinese Prefecture-Level Cities—A Case Study of Maanshan City, Anhui Province, China," Sustainability, MDPI, vol. 15(14), pages 1-8, July.
    2. Gökçe Palak & Sandra Duni Ekşioğlu & Joseph Geunes, 2018. "Heuristic algorithms for inventory replenishment with perishable products and multiple transportation modes," IISE Transactions, Taylor & Francis Journals, vol. 50(4), pages 345-365, April.
    3. Abbas, Hasnain & Zhao, Lindu & Gong, Xi & Faiz, Narmeen, 2023. "The perishable products case to achieve sustainable food quality and safety goals implementing on-field sustainable supply chain model," Socio-Economic Planning Sciences, Elsevier, vol. 87(PA).
    4. Cheng, Chun & Adulyasak, Yossiri & Rousseau, Louis-Martin, 2021. "Robust facility location under demand uncertainty and facility disruptions," Omega, Elsevier, vol. 103(C).
    5. Li, Yantong & Chu, Feng & Côté, Jean-François & Coelho, Leandro C. & Chu, Chengbin, 2020. "The multi-plant perishable food production routing with packaging consideration," International Journal of Production Economics, Elsevier, vol. 221(C).
    6. Al-Othman, Wafa B.E. & Lababidi, Haitham M.S. & Alatiqi, Imad M. & Al-Shayji, Khawla, 2008. "Supply chain optimization of petroleum organization under uncertainty in market demands and prices," European Journal of Operational Research, Elsevier, vol. 189(3), pages 822-840, September.
    7. Dimitris Bertsimas & Melvyn Sim, 2004. "The Price of Robustness," Operations Research, INFORMS, vol. 52(1), pages 35-53, February.
    8. Gaofeng Chen & Farshad kaveh & Ali Peivandizadeh & Zaoli Yang, 2022. "Resilient Supply Chain Planning for the Perishable Products under Different Uncertainty," Mathematical Problems in Engineering, Hindawi, vol. 2022, pages 1-12, August.
    9. Amorim, P. & Günther, H.-O. & Almada-Lobo, B., 2012. "Multi-objective integrated production and distribution planning of perishable products," International Journal of Production Economics, Elsevier, vol. 138(1), pages 89-101.
    10. Ahumada, Omar & Villalobos, J. Rene, 2011. "Operational model for planning the harvest and distribution of perishable agricultural products," International Journal of Production Economics, Elsevier, vol. 133(2), pages 677-687, October.
    11. Eric Brodheim & Cyrus Derman & Gregory Prastacos, 1975. "On the Evaluation of a Class of Inventory Policies for Perishable Products Such as Blood," Management Science, INFORMS, vol. 21(11), pages 1320-1325, July.
    12. Chen Chao & Tian Zhihui & Yao Baozhen, 2019. "Optimization of two-stage location–routing–inventory problem with time-windows in food distribution network," Annals of Operations Research, Springer, vol. 273(1), pages 111-134, February.
    13. Sina Aghakhani & Parmida Pourmand & Mobin Zarreh & Alberto Olivares, 2023. "A Mathematical Optimization Model for the Pharmaceutical Waste Location-Routing Problem Using Genetic Algorithm and Particle Swarm Optimization," Mathematical Problems in Engineering, Hindawi, vol. 2023, pages 1-18, June.
    14. Huang, Shuai & Fan, Zhi-Ping & Wang, Ningning, 2020. "Green subsidy modes and pricing strategy in a capital-constrained supply chain," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 136(C).
    15. Zhi-Hai Zhang & Gemma Berenguer & Xiaoyong Pan, 2019. "Location, inventory and testing decisions in closed-loop supply chains: A multimedia company," IISE Transactions, Taylor & Francis Journals, vol. 51(1), pages 41-56, January.
    16. Saeid Rezaei & Amirsaman Kheirkhah, 2018. "A comprehensive approach in designing a sustainable closed-loop supply chain network using cross-docking operations," Computational and Mathematical Organization Theory, Springer, vol. 24(1), pages 51-98, March.
    17. Steven Nahmias, 1982. "Perishable Inventory Theory: A Review," Operations Research, INFORMS, vol. 30(4), pages 680-708, August.
    18. Li, Ruihai & Teng, Jinn-Tsair, 2018. "Pricing and lot-sizing decisions for perishable goods when demand depends on selling price, reference price, product freshness, and displayed stocks," European Journal of Operational Research, Elsevier, vol. 270(3), pages 1099-1108.
    19. Govindan, Kannan & Soleimani, Hamed & Kannan, Devika, 2015. "Reverse logistics and closed-loop supply chain: A comprehensive review to explore the future," European Journal of Operational Research, Elsevier, vol. 240(3), pages 603-626.
    20. Klibi, Walid & Martel, Alain & Guitouni, Adel, 2010. "The design of robust value-creating supply chain networks: A critical review," European Journal of Operational Research, Elsevier, vol. 203(2), pages 283-293, June.
    21. Wei Pan & Ying Guo & Wenji Zhang & Lei Jin & Shujie Liao, 2018. "Order policy for emergency medicine with return uncertainty in a closed-loop supply chain," PLOS ONE, Public Library of Science, vol. 13(10), pages 1-24, October.
    22. Li, Lei & Zabinsky, Zelda B., 2011. "Incorporating uncertainty into a supplier selection problem," International Journal of Production Economics, Elsevier, vol. 134(2), pages 344-356, December.
    23. Melo, M.T. & Nickel, S. & Saldanha-da-Gama, F., 2009. "Facility location and supply chain management - A review," European Journal of Operational Research, Elsevier, vol. 196(2), pages 401-412, July.
    24. Diabat, Ali & Al-Salem, Mohammed, 2015. "An integrated supply chain problem with environmental considerations," International Journal of Production Economics, Elsevier, vol. 164(C), pages 330-338.
    25. Goyal, S. K. & Giri, B. C., 2001. "Recent trends in modeling of deteriorating inventory," European Journal of Operational Research, Elsevier, vol. 134(1), pages 1-16, October.
    26. S.M. Seyedhosseini & S.M. Ghoreyshi, 2015. "An integrated production and distribution planning model for perishable products," International Journal of Operational Research, Inderscience Enterprises Ltd, vol. 23(3), pages 268-283.
    27. Alumur, Sibel A. & Nickel, Stefan & Saldanha-da-Gama, Francisco & Verter, Vedat, 2012. "Multi-period reverse logistics network design," European Journal of Operational Research, Elsevier, vol. 220(1), pages 67-78.
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