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Literature review analytics (LRA) on sustainable cold-chain for perishable food products: research trends and future directions

Author

Listed:
  • Prem Vrat

    (The NorthCap University)

  • Rachita Gupta

    (Indian Institute of Technology Delhi)

  • Aman Bhatnagar

    (Indian Institute of Technology Delhi)

  • Devendra Kumar Pathak

    (Indian Institute of Technology Delhi)

  • Vijayta Fulzele

    (Indian Institute of Technology Delhi)

Abstract

Sustainable freight transportation (SFT) and cold-chain for perishable food products are the two most prominent areas where research is tremendously growing with increasing number of publications in various reputed journals. The area of SFT for perishable products is still in the nascent stage and not much explored. There are a number of published articles in the cold chain, but only a few have addressed the issue of sustainability. Perishable products require careful handling throughout their supply chain, which often requires reefer vehicles and cold storage facilities. They need to move fast in the supply chain as their longer stay would cause more energy consumption and higher perishability losses leading to increased cost and carbon footprints. The paper analyzes existing literature on this vital problem area and attempts to derive valuable insights using a structured approach termed as literature review analytics, which involves bibliometric and network analytics. This review analyzes the articles published during 1985–2017 using a set of keywords. Some of the key findings of this study unveil (1) research on SFT of perishable items is growing rapidly; (2) among all, Italy followed by the United States is the most contributing country in this research area. Further, network analytics is used to analyze the co-occurrence network for authors and keywords.

Suggested Citation

  • Prem Vrat & Rachita Gupta & Aman Bhatnagar & Devendra Kumar Pathak & Vijayta Fulzele, 2018. "Literature review analytics (LRA) on sustainable cold-chain for perishable food products: research trends and future directions," OPSEARCH, Springer;Operational Research Society of India, vol. 55(3), pages 601-627, November.
    • Handle: RePEc:spr:opsear:v:55:y:2018:i:3:d:10.1007_s12597-018-0338-9
    DOI: 10.1007/s12597-018-0338-9
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    1. Tang, Christopher S. & Davarzani, Hoda & Sarkis, Joseph, 2015. "Quantitative models for managing supply chain risks: A reviewAuthor-Name: Fahimnia, Behnam," European Journal of Operational Research, Elsevier, vol. 247(1), pages 1-15.
    2. Zanoni, Simone & Zavanella, Lucio, 2012. "Chilled or frozen? Decision strategies for sustainable food supply chains," International Journal of Production Economics, Elsevier, vol. 140(2), pages 731-736.
    3. Govindan, K. & Jafarian, A. & Khodaverdi, R. & Devika, K., 2014. "Two-echelon multiple-vehicle location–routing problem with time windows for optimization of sustainable supply chain network of perishable food," International Journal of Production Economics, Elsevier, vol. 152(C), pages 9-28.
    4. Rahimi, Mohammad & Baboli, Armand & Rekik, Yacine, 2017. "Multi-objective inventory routing problem: A stochastic model to consider profit, service level and green criteria," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 101(C), pages 59-83.
    5. Saif, Ahmed & Elhedhli, Samir, 2016. "Cold supply chain design with environmental considerations: A simulation-optimization approach," European Journal of Operational Research, Elsevier, vol. 251(1), pages 274-287.
    6. Haass, Rasmus & Dittmer, Patrick & Veigt, Marius & Lütjen, Michael, 2015. "Reducing food losses and carbon emission by using autonomous control – A simulation study of the intelligent container," International Journal of Production Economics, Elsevier, vol. 164(C), pages 400-408.
    7. Fahimnia, Behnam & Sarkis, Joseph & Davarzani, Hoda, 2015. "Green supply chain management: A review and bibliometric analysis," International Journal of Production Economics, Elsevier, vol. 162(C), pages 101-114.
    8. Bozorgi, Ali & Pazour, Jennifer & Nazzal, Dima, 2014. "A new inventory model for cold items that considers costs and emissions," International Journal of Production Economics, Elsevier, vol. 155(C), pages 114-125.
    9. Songyi Wang & Fengming Tao & Yuhe Shi & Haolin Wen, 2017. "Optimization of Vehicle Routing Problem with Time Windows for Cold Chain Logistics Based on Carbon Tax," Sustainability, MDPI, vol. 9(5), pages 1-23, April.
    10. Fitzgerald, Warren B. & Howitt, Oliver J.A. & Smith, Inga J. & Hume, Anthony, 2011. "Energy use of integral refrigerated containers in maritime transportation," Energy Policy, Elsevier, vol. 39(4), pages 1885-1896, April.
    11. Andrea Gallo & Riccardo Accorsi & Giulia Baruffaldi & Riccardo Manzini, 2017. "Designing Sustainable Cold Chains for Long-Range Food Distribution: Energy-Effective Corridors on the Silk Road Belt," Sustainability, MDPI, vol. 9(11), pages 1-20, November.
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    2. 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).
    3. Raut, Rakesh D. & Gardas, Bhaskar B. & Narwane, Vaibhav S. & Narkhede, Balkrishna E., 2019. "Improvement in the food losses in fruits and vegetable supply chain - a perspective of cold third-party logistics approach," Operations Research Perspectives, Elsevier, vol. 6(C).
    4. J. H. R. van Duin & H. Geerlings & L. A. Tavasszy & D. L. Bank, 2019. "Factors causing peak energy consumption of reefers at container terminals," Journal of Shipping and Trade, Springer, vol. 4(1), pages 1-17, December.
    5. Javier Arturo Orjuela-Castro & Juan Pablo Orejuela-Cabrera & Wilson Adarme-Jaimes, 2022. "Multi-objective model for perishable food logistics networks design considering availability and access," OPSEARCH, Springer;Operational Research Society of India, vol. 59(4), pages 1244-1270, December.
    6. Sobhi Mejjaouli, 2022. "Internet of Things based Decision Support System for Green Logistics," Sustainability, MDPI, vol. 14(22), pages 1-23, November.
    7. Gaurvendra Singh & Yash Daultani & Rajendra Sahu, 2022. "Investigating the barriers to growth in the Indian food processing sector," OPSEARCH, Springer;Operational Research Society of India, vol. 59(2), pages 441-459, June.
    8. Hafiz Wasim Akram & Samreen Akhtar & Alam Ahmad & Imran Anwar & Mohammad Ali Bait Ali Sulaiman, 2023. "Developing a Conceptual Framework Model for Effective Perishable Food Cold-Supply-Chain Management Based on Structured Literature Review," Sustainability, MDPI, vol. 15(6), pages 1-28, March.
    9. Miao Su & Su‐Han Woo & Xiaochun Chen & Keun‐sik Park, 2023. "Identifying critical success factors for the agri‐food cold chain's sustainable development: When the strategy system comes into play," Business Strategy and the Environment, Wiley Blackwell, vol. 32(1), pages 444-461, January.
    10. Philipp A. Trotter & Tristan Becker & Renaldi Renaldi & Xinfang Wang & Radhika Khosla & Grit Walther, 2023. "The role of supply chains for the sustainability transformation of global food systems: A large‐scale, systematic review of food cold chains," Journal of Industrial Ecology, Yale University, vol. 27(6), pages 1429-1446, December.
    11. Umay Uzunoglu Kocer & Bahar Yalcin, 2020. "Continuous review (s, Q) inventory system with random lifetime and two demand classes," OPSEARCH, Springer;Operational Research Society of India, vol. 57(1), pages 104-118, March.
    12. Sina Davoudi & Peter Stasinopoulos & Nirajan Shiwakoti, 2024. "Two Decades of Advancements in Cold Supply Chain Logistics for Reducing Food Waste: A Review with Focus on the Meat Industry," Sustainability, MDPI, vol. 16(16), pages 1-67, August.
    13. Gharbi, Ali & Kenné, Jean-Pierre & Kaddachi, Rawia, 2022. "Dynamic optimal control and simulation for unreliable manufacturing systems under perishable product and shelf life variability," International Journal of Production Economics, Elsevier, vol. 247(C).

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