Advertisement

OPSEARCH

pp 1–27 | Cite as

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

  • Prem Vrat
  • Rachita Gupta
  • Aman Bhatnagar
  • Devendra Kumar Pathak
  • Vijayta Fulzele
Theoretical Article

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.

Keywords

Literature review analytics Cold-chain Sustainability Perishable food products 

References

  1. 1.
    Joshi, R., Banwet, D.K., Shankar, R.: A Delphi-AHP-TOPSIS based benchmarking framework for performance improvement of a cold chain. Expert Syst. Appl. 38, 10170–10182 (2011)CrossRefGoogle Scholar
  2. 2.
    Xiao, X., He, Q., Fu, Z., Xu, M., Zhang, X.: Applying CS and WSN methods for improving efficiency of frozen and chilled aquatic products monitoring system in cold chain logistics. Food Control 60, 656–666 (2015)CrossRefGoogle Scholar
  3. 3.
    Accorsi, R., Gallo, A., Manzini, R.: A climate driven decision-support model for the distribution of perishable products. J. Clean. Prod. 165, 917–929 (2017)CrossRefGoogle Scholar
  4. 4.
    Defraeye, T., Nicolai, B., Kirkman, W., Moore, S., van Niekerk, S., Verboven, P., Cronje, P.: Integral performance evaluation of the fresh-produce cold chain: a case study for ambient loading of citrus in refrigerated containers. Postharvest Biol. Technol. 112, 1–13 (2016)CrossRefGoogle Scholar
  5. 5.
    Smith, D., Sparks, L.: Temperature-controlled supply chains. In: Fernie, J., Sparks, L. (eds.) Logistics and Retail Management: Insights into Current Practice and Trends from Leading Experts, pp. 121–137. Kogan Page, London (2004)Google Scholar
  6. 6.
    Soto-Silva, W.E., Nadal-Roig, E., Gonzalez-Araya, M.C., Pla-Aragones, L.M.: Operational research models applied to the fresh fruit supply chain. Eur. J. Oper. Res. 251(2), 345–355 (2016)CrossRefGoogle Scholar
  7. 7.
    Mattevi, M., Jones, J.A.: Traceability in the food supply chain: awareness and attitudes of UK small and medium-sized enterprises. Food Control 64, 120–127 (2015)CrossRefGoogle Scholar
  8. 8.
    Saif, A., Elhedhli, S.: Cold supply chain design with environmental considerations: a simulation–optimization approach. Eur. J. Oper. Res. 251, 274–287 (2016)CrossRefGoogle Scholar
  9. 9.
    National Centre for Cold-Chain Development: Guidelines and Minimum System Standards for Implementation in Cold-Chain Components, pp. 1–89. Ministry of Agriculture, Government of India (2015)Google Scholar
  10. 10.
    Adekomaya, O., Jamiru, T., Sadiku, R., Huan, Z.: Sustaining the shelf life of fresh food in cold chain—a burden on the environment. Alex. Eng. J. 55, 1359–1365 (2016)CrossRefGoogle Scholar
  11. 11.
    Hsiao, H.I., Huang, K.L.: Time–temperature transparency in the cold chain. Food Control 64, 181–188 (2016)CrossRefGoogle Scholar
  12. 12.
    Xiao, X., He, Q., Fu, Z., Xu, M., Zhang, X.: Applying CS and WSN methods for improving efficiency of frozen and chilled aquatic products monitoring system in cold chain logistics. Food Control 60, 656–666 (2016)CrossRefGoogle Scholar
  13. 13.
    Joshi, R., Banwet, D.K., Shankar, R.: Consumer link in cold chain: Indian scenario. Food Control 21, 1137–1142 (2010)CrossRefGoogle Scholar
  14. 14.
    Verdouw, C.N., Beulens, A.J.M., Vander Vorst, J.G.A.J.: Computers and electronics in agriculture. Comput. Electron. Agric. 99, 160–175 (2013)CrossRefGoogle Scholar
  15. 15.
    Musavi, M.M., Bozorgi-Amiri, A.: A multi-objective sustainable hub location-scheduling problem for perishable food supply chain. Comput. Ind. Eng. 113, 766–778 (2017)CrossRefGoogle Scholar
  16. 16.
    Bortolini, M., Faccio, M., Ferrari, E., Gamberi, M., Pilati, F.: Fresh food sustainable distribution: cost, delivery time and carbon footprint three-objective optimization. J. Food Eng. 174, 56–67 (2016)CrossRefGoogle Scholar
  17. 17.
    Hariga, M., As’ad, R., Shamayleh, A.: Integrated economic and environmental models for a multi stage cold supply chain under carbon tax regulation. J. Clean. Prod. 166, 1357–1371 (2017)CrossRefGoogle Scholar
  18. 18.
    Haass, R., Dittmer, P., Veigt, M., Lütjen, M.: Reducing food losses and carbon emission by using autonomous control—a simulation study of the intelligent container. Int. J. Prod. Econ. 164, 400–408 (2015)CrossRefGoogle Scholar
  19. 19.
    Zanoni, S., Zavanella, L.: Chilled or frozen? Decision strategies for sustainable food supply chains. Int. J. Prod. Econ. 140, 731–736 (2012)CrossRefGoogle Scholar
  20. 20.
    Govindan, K., Jafarian, A., Khodaverdi, R., Devikaq, K.: Two-echelon multiple-vehicle location-routing problem with time windows for optimization of sustainable supply chain network of perishable food. Int. J. Prod. Econ. 152, 9–28 (2014)CrossRefGoogle Scholar
  21. 21.
    Bozorgi, A., Pazour, J., Nazzal, D.: A new inventory model for cold items that considers costs and emissions. Int. J. Prod. Econ. 155, 114–125 (2014)CrossRefGoogle Scholar
  22. 22.
    Xiao, X., He, Q., Li, Z., Antoce, A.O., Zhang, X.: Improving traceability and transparency of table grapes cold chain logistics by integrating WSN and correlation analysis. Food Control 73, 1556–1563 (2017)CrossRefGoogle Scholar
  23. 23.
    Camanzi, L., Alikadic, A., Compagnoni, L., Merloni, E.: The impact of greenhouse gas emissions in the EU food chain: a quantitative and economic assessment using an environmentally extended input–output approach. J. Clean. Prod. 157, 168–176 (2017)CrossRefGoogle Scholar
  24. 24.
    Rahimi, M., Baboli, A., Rekik, Y.: Multi-objective inventory routing problem: a stochastic model to consider profit, service level and green criteria. Transp. Res. Part E 101, 59–83 (2017)CrossRefGoogle Scholar
  25. 25.
    Esmaili, M., Sahraeian, R.: A new bi-objective model for a two-echelon capacitated vehicle routing problem for perishable products with the environmental factor. Int. J. Eng. 30(4), 523–531 (2017)Google Scholar
  26. 26.
    Shi, J., Zhang, J., Qu, X.: Optimizing distribution strategy for perishable foods using RFID and sensor technologies. J. Bus. Ind. Mark. 25(8), 596–606 (2010)CrossRefGoogle Scholar
  27. 27.
    Ghadge, A., Kaklamanou, M., Choudhary, S., Bourlakis, M.: Implementing environmental practices within the Greek dairy supply chain: drivers and barriers for SMEs. Ind. Manag. Data Syst. 117(9), 1995–2014 (2017)CrossRefGoogle Scholar
  28. 28.
    Wang, S., Tao, F., Shi, Y., Wen, H.: Optimization of vehicle routing problem with time windows for cold chain logistics based on carbon tax. Sustainability 9, 1–23 (2017)Google Scholar
  29. 29.
    Bon, H.D., Parrot, L., Moustier, P.: Sustainable urban agriculture in developing countries: a review. Agron. Sustain. Dev. 30, 21–32 (2009)CrossRefGoogle Scholar
  30. 30.
    Gallo, A., Accorsi, R., Baruffaldi, G., Manzini, R.: Designing sustainable cold chains for long-range food distribution: energy-effective corridors on the silk road belt. Sustainability 9, 1–20 (2017)CrossRefGoogle Scholar
  31. 31.
    Singh, R.K., Gunasekaran, A., Kumar, P.: Third party logistics (3PL) selection for cold chain management: a fuzzy AHP and fuzzy TOPSIS approach. Ann. Oper. Res. (2017).  https://doi.org/10.1007/s10479-017-2591-3 Google Scholar
  32. 32.
    Fahimnia, B., Sarkis, J., Davarzani, H.: Green supply chain management: a review and bibliometric analysis. Int. J. Prod. Econ. 162, 101–114 (2015)CrossRefGoogle Scholar
  33. 33.
    Fahimnia, B., Tang, C.S., Davarzani, H., Sarkis, J.: Quantitative models for managing supply chain risks: a review. Eur. J. Oper. Res. 247(1), 1–15 (2015)CrossRefGoogle Scholar
  34. 34.
    Feng, Y., Zhu, Q., Lai, K.: Corporate social responsibility for supply chain management: a literature review and bibliometric analysis. J. Clean. Prod. 158, 296–307 (2017)CrossRefGoogle Scholar
  35. 35.
    Callon, M., Courtial, J.P., Turner, W.A., Bauin, S.: From translations to problematic networks: an introduction to co-word analysis. Soc. Sci. Inf. 22(2), 191–235 (1983)CrossRefGoogle Scholar
  36. 36.
    Daghigh, R., Jabalameli, M., Amiri, A., Pishvaee, M.: A multi-objective location-inventory model for 3PL providers with sustainable considerations under uncertainty. Int. J. Ind. Eng. Comput. 7(4), 615–634 (2016)Google Scholar
  37. 37.
    Galal, N.M., El-Kilany, K.S.: Sustainable agri-food supply chain with uncertain demand and lead time. Int. J. Simul. Model. 15(3), 485–496 (2016)CrossRefGoogle Scholar
  38. 38.
    Menesatti, P., Pallottino, F., De Prisco, N., Laderchi, D.R.: Intermodal vs. conventional logistic of refrigerated products: a case study from Southern to Northern Europe. Agric. Eng. Int. CIGR J. 80–87 (2014)Google Scholar
  39. 39.
    Verdouw, C.N., Wolfert, J., Beulens, A.J.M., Rialland, A.: Virtualization of food supply chains with the internet of things. J. Food Eng. 176, 128–136 (2016)CrossRefGoogle Scholar
  40. 40.
    Fitzgerald, W.B., Howitt, O.J., Smith, I.J., Hume, A.: Energy use of integral refrigerated containers in maritime transportation. Energy Policy 39(4), 1885–1896 (2011)CrossRefGoogle Scholar
  41. 41.
    Steadie Seifi, M.: Multimodal transportation for perishable products. Eindhoven University of Technology. https://pure.tue.nl/ws/files/58699593/20170321_SteadieSeifi.pdf (2017). Accessed 17 Dec 2017

Copyright information

© Operational Research Society of India 2018

Authors and Affiliations

  • Prem Vrat
    • 1
  • Rachita Gupta
    • 2
  • Aman Bhatnagar
    • 3
  • Devendra Kumar Pathak
    • 3
  • Vijayta Fulzele
    • 3
  1. 1.The NorthCap UniversityGurugramIndia
  2. 2.Bharti School of Telecommunication Technology and ManagementIndian Institute of Technology DelhiNew DelhiIndia
  3. 3.Department of Management StudiesIndian Institute of Technology DelhiNew DelhiIndia

Personalised recommendations