Skip to main content

Analyzing Challenges to Transportation for Successful Sustainable Food Supply Chain Management Implementation in Indian Dairy Industry

  • Conference paper
  • First Online:

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 40))

Abstract

Food Corporation of India (FCI) and Comptroller and Auditor General of India (CAG) clearly mentioned in their reports that transportation is a critical issue nowadays in Indian dairy industries. Increased population in India forced the companies to add sustainability in their food processing and manufacturing to meet the increasing demands. Thus, sustainable food supply chain management (SFSCM) helps to reduce the wastage of food throughout the food supply chain. For successful implementation of SFSCM, the present work is mainly focused on challenges in transportation. The challenges were analyzed by new method, i.e., best worst method (BWM). This method is generally used for solving (MCDM) multi-criteria decision-making problems. In MCDM problem, the best alternative is selected by comparing number of alternatives with respect to selected criteria. In BWM, the policy maker identifies the best (very important) and the worst (less important) criteria. Eight challenges were identified from the literature review and experts’ opinion. The important factors of the BWM method include less comparison data and more reliable comparisons.

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

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   169.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD   219.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

References

  1. Brindley, C. (ed.): Supply Chain Risk. Taylor & Francis (2017)

    Google Scholar 

  2. Eshel, G., Shepon, A., Makov, T., Milo, R.: Land, irrigation water, greenhouse gas, and reactive nitrogen burdens of meat, eggs, and dairy production in the United States. Proc. Natl. Acad. Sci. 111(33), 11996–12001 (2014)

    Article  Google Scholar 

  3. Li, D., Wang, X., Chan, H.K., Manzini, R.: Sustainable food supply chain management. Int. J. Prod. Econ. 152, 1–8 (2014)

    Article  Google Scholar 

  4. Ramundo, L., Taisch, M., Terzi, S.: State of the art of technology in the food sector value chain towards the IoT. In: 2016 IEEE 2nd International Forum on Research and Technologies for Society and Industry Leveraging a better tomorrow (RTSI), pp. 1–6. IEEE (2016)

    Google Scholar 

  5. Mogale, D.G., Kumar, S.K., Márquez, F.P.G., Tiwari, M.K.: Bulk wheat transportation and storage problem of public distribution system. Comput. Ind. Eng. 104, 80–97 (2017)

    Article  Google Scholar 

  6. Ryan, J.M.: Guide to Food Safety and Quality During Transportation: Controls, Standards and Practices. Academic Press (2017)

    Google Scholar 

  7. Dellino, G., Mari, R., Meloni, C.: Waste reduction in fresh food supply chains: an operations research approach. In: Food Waste Reduction and Valorisation, pp. 235–259. Springer International Publishing (2017)

    Google Scholar 

  8. La Scalia, G., Nasca, A., Corona, O., Settanni, L., Micale, R.: An innovative shelf life model based on smart logistic unit for an efficient management of the perishable food supply chain. J. Food Process Eng. 40(1) (2017)

    Google Scholar 

  9. Rezaei, J.: Best-worst multi-criteria decision-making method. Omega 53, 49–57 (2015)

    Article  Google Scholar 

  10. Rezaei, J., Nispeling, T., Sarkis, J., Tavasszy, L.: A supplier selection life cycle approach integrating traditional and environmental criteria using the best worst method. J. Clean. Prod. 135, 577–588 (2016)

    Article  Google Scholar 

  11. Rezaei, J., Wang, J., Tavasszy, L.: Linking supplier development to supplier segmentation using best worst method. Expert Syst. Appl. 42(23), 9152–9164 (2015)

    Article  Google Scholar 

  12. Gupta, H., Barua, M.K.: Identifying enablers of technological innovation for Indian MSMEs using best–worst multi criteria decision making method. Technol. Forecast. Soc. Chang. 107, 69–79 (2016)

    Article  Google Scholar 

  13. Villarreal, B., Garza-Reyes, J.A., Kumar, V., Lim, M.K.: Improving road transport operations through lean thinking: a case study. Int. J. Logist. Res. Appl. 20(2), 163–180 (2017)

    Article  Google Scholar 

  14. Rodrigue, J.P., Comtois, C.: The environmental impacts of transportation. In: The Geography of Transport Systems. Routledge, New York (2013)

    Google Scholar 

  15. Moore, C.C.S., Nogueira, A.R., Kulay, L.: Environmental and energy assessment of the substitution of chemical fertilizers for industrial wastes of ethanol production in sugarcane cultivation in Brazil. Int. J. Life Cycle Assess. 22(4), 628–643 (2017)

    Article  Google Scholar 

  16. Price, R.: The modernization of rural France: communications networks and agricultural market structures in nineteenth-century France, vol. 13. Routledge (2017)

    Google Scholar 

  17. Hyland, M.F., Mahmassani, H.S.: Taxonomy of shared autonomous vehicle fleet management problems to inform future transportation mobility. Transp. Res. Record: J. Transp. Res. Board 2653, 26–34 (2017)

    Article  Google Scholar 

  18. Muñuzuri, J., Cuberos, M., Abaurrea, F., Escudero, A.: Improving the design of urban loading zone systems. J. Transp. Geogr. 59, 1–13 (2017)

    Article  Google Scholar 

  19. Roca-Riu, M., Cao, J., Dakic, I., Menendez, M.: Designing dynamic delivery parking spots in urban areas to reduce traffic disruptions. SVT Working Paper (2017)

    Google Scholar 

  20. Huang, C.C., Huang, C.C., Lai, P.C.: Handling, packaging, and transportation of Phalaenopsis plants for marine shipment. In: Orchid Biotechnology III, pp. 137–143 (2017)

    Google Scholar 

  21. Luo, J., Wyatt, J., van der Weerden, T.J., Thomas, S.M., de Klein, C.A., Li, Y., Ding, W.: Potential hotspot areas of nitrous oxide emissions from grazed pastoral dairy farm systems. In: Advances in Agronomy (2017)

    Google Scholar 

  22. Adekomaya, O., Jamiru, T., Sadiku, R., Huan, Z.: Minimizing energy consumption in refrigerated vehicles through alternative external wall. Renew. Sustain. Energy Rev. 67, 89–93 (2017)

    Article  Google Scholar 

  23. Rühl, F., Boltze, M.: Freight transport demand management: influencing the freight transport demand within traffic management. In: Dynamic and Seamless Integration of Production, Logistics and Traffic, pp. 163–184. Springer International Publishing (2017)

    Google Scholar 

  24. Corazzin, M., Schermer, M., Park, S.Y.: Tools to retain added value in dairy farms: The South Korea case. J. Asian Rural Stud. 1(2), 81–96 (2017)

    Google Scholar 

  25. Seifu, E., Buys, E.M., Donkin, E.F.: Significance of the lactoperoxidase system in the dairy industry and its potential applications: a review. Trends Food Sci. Technol. 16(4), 137–154 (2005)

    Article  Google Scholar 

  26. Wakeland, W., Cholette, S., Venkat, K.: Food transportation issues and reducing carbon footprint. In: Green Technologies in Food Production and Processing, pp. 211–236. Springer, US (2012)

    Google Scholar 

  27. Kumar, R., Prabhakar, R.K.: Opportunities and challenges in Indian dairy industry supply chain: a literature review. Int. J. Logist. Supply Chain Manag. Perspect. 2(4), 791 (2013)

    Google Scholar 

  28. Prakash, S., Prakash, S., Soni, G., Soni, G., Rathore, A.P.S., Rathore, A.P.S., Singh, S.: Risk analysis and mitigation for perishable food supply chain: a case of dairy industry. Benchmark. Int. J. 24(1), 2–23 (2017)

    Google Scholar 

  29. Haq, A.N., Boddu, V.: Analysis of enablers for the implementation of leagile supply chain management using an integrated fuzzy QFD approach. J. Intell. Manuf. 28(1), 1–12 (2017)

    Article  Google Scholar 

  30. Mangla, S. K., Kumar, P., Barua, M. K.: Risk analysis in green supply chain using fuzzy AHP approach: a case study. Resour. Conserv. Recy. 104, 375–390 (2015)

    Google Scholar 

Download references

Acknowledgements

The authors acknowledge and express the gratitude for the support of the research facilities and funds provided by the Department of Mechanical and Automobile Engineering, Graphic Era University, Dehradun, India.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Yogesh Kumar Sharma .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2019 Springer Nature Singapore Pte Ltd.

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Sharma, Y.K., Mangla, S.K., Patil, P.P. (2019). Analyzing Challenges to Transportation for Successful Sustainable Food Supply Chain Management Implementation in Indian Dairy Industry. In: Fong, S., Akashe, S., Mahalle, P. (eds) Information and Communication Technology for Competitive Strategies. Lecture Notes in Networks and Systems, vol 40. Springer, Singapore. https://doi.org/10.1007/978-981-13-0586-3_41

Download citation

  • DOI: https://doi.org/10.1007/978-981-13-0586-3_41

  • Published:

  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-0585-6

  • Online ISBN: 978-981-13-0586-3

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics