Skip to main content

Advertisement

Log in

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

  • Theoretical Article
  • Published:
OPSEARCH Aims and scope Submit manuscript

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.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4

Similar content being viewed by others

References

  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)

    Article  Google Scholar 

  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)

    Article  Google Scholar 

  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)

    Article  Google Scholar 

  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)

    Article  Google Scholar 

  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. 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)

    Article  Google Scholar 

  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)

    Article  Google Scholar 

  8. Saif, A., Elhedhli, S.: Cold supply chain design with environmental considerations: a simulation–optimization approach. Eur. J. Oper. Res. 251, 274–287 (2016)

    Article  Google Scholar 

  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)

  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)

    Article  Google Scholar 

  11. Hsiao, H.I., Huang, K.L.: Time–temperature transparency in the cold chain. Food Control 64, 181–188 (2016)

    Article  Google Scholar 

  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)

    Article  Google Scholar 

  13. Joshi, R., Banwet, D.K., Shankar, R.: Consumer link in cold chain: Indian scenario. Food Control 21, 1137–1142 (2010)

    Article  Google Scholar 

  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)

    Article  Google Scholar 

  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)

    Article  Google Scholar 

  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)

    Article  Google Scholar 

  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)

    Article  Google Scholar 

  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)

    Article  Google Scholar 

  19. Zanoni, S., Zavanella, L.: Chilled or frozen? Decision strategies for sustainable food supply chains. Int. J. Prod. Econ. 140, 731–736 (2012)

    Article  Google Scholar 

  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)

    Article  Google Scholar 

  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)

    Article  Google Scholar 

  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)

    Article  Google Scholar 

  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)

    Article  Google Scholar 

  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)

    Article  Google Scholar 

  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. 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)

    Article  Google Scholar 

  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)

    Article  Google Scholar 

  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. Bon, H.D., Parrot, L., Moustier, P.: Sustainable urban agriculture in developing countries: a review. Agron. Sustain. Dev. 30, 21–32 (2009)

    Article  Google Scholar 

  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)

    Article  Google Scholar 

  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

    Article  Google Scholar 

  32. Fahimnia, B., Sarkis, J., Davarzani, H.: Green supply chain management: a review and bibliometric analysis. Int. J. Prod. Econ. 162, 101–114 (2015)

    Article  Google Scholar 

  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)

    Article  Google Scholar 

  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)

    Article  Google Scholar 

  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)

    Google Scholar 

  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. 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)

    Article  Google Scholar 

  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)

  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)

    Article  Google Scholar 

  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)

    Article  Google Scholar 

  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

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Rachita Gupta.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Vrat, P., Gupta, R., Bhatnagar, A. et al. Literature review analytics (LRA) on sustainable cold-chain for perishable food products: research trends and future directions. OPSEARCH 55, 601–627 (2018). https://doi.org/10.1007/s12597-018-0338-9

Download citation

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s12597-018-0338-9

Keywords

Navigation