Abstract
The food supply chain is gaining a lot of attention these days. Due to the relativity of the food supply chain with human health directly, focusing on its problems and issues has become the need of the hour. Several issues like food safety, food contamination, and adulteration, food losses are some of the issues. Among these issues, food losses are critically important as they affect sustainable development as well. Among the several critical causes of this food loss problem, handling losses are most important and are very less studied. Handling losses are important as the causes of these losses are controllable and can be easily mitigated with the help of science and technology. This research is an effort in the defined direction. With the help of technology like blockchain and its capabilities, the authors in this study developed a framework for the food supply chain that if implemented can help in reducing handling losses.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Gardas, B.B., Raut, R.D., Narkhede, B.: Evaluating critical causal factors for post-harvest losses (PHL) in the fruit and vegetables supply chain in India using the DEMATEL approach. J. Clean. Prod. 199, 47–61 (2018)
Kopec, D., Kabir, M.H., Reinharth, D., Rothschild, O., Castiglione, J.A.: Human errors in medical practice: systematic classification and reduction with automated information systems. J. Med. Syst. 27(4), 297–313 (2003). https://doi.org/10.1023/A:1023796918654
Lin, J., Shen, Z., Zhang, A., Chai, Y.: Blockchain and IoT based food traceability for smart agriculture. In: Proceedings of the 3rd International Conference on Crowd Science and Engineering, pp. 1–6 (2018)
Pearson, S., et al.: Are distributed ledger technologies the panacea for food traceability? Glob. Food Secur. 20, 145–149 (2019)
Patidar, A., Sharma, M., Agrawal, R.: Prioritizing drivers to creating traceability in the food supply chain. Procedia CIRP 98, 690–695 (2021)
Wall, E., Malm, G.: Using blockchain technology and smart contracts to create a distributed securities depository (2016)
Guegan, D.: Public blockchain versus private blockchain (2017)
Caro, M.P., Ali, M.S., Vecchio, M., Giaffreda, R.: Blockchain-based traceability in agri-food supply chain management: a practical implementation. In: 2018 IoT Vertical and Topical Summit on Agriculture-Tuscany (IOT Tuscany), pp. 1–4. IEEE (2018)
Mao, D., Wang, F., Hao, Z., Li, H.: Credit evaluation system based on blockchain for multiple stakeholders in the food supply chain. Int. J. Environ. Res. Public Health 15(8), 1627 (2018)
Tse, D., Zhang, B., Yang, Y., Cheng, C., Mu, H.: Blockchain application in food supply information security. In: 2017 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM), pp. 1357–1361. IEEE (2017)
Tian, F.: An agri-food supply chain traceability system for China based on RFID & blockchain technology. In: 2016 13th International Conference on Service Systems and Service Management (ICSSSM), pp. 1–6. IEEE (2016)
Maag, J.W.: Rewarded by punishment: reflections on the disuse of positive reinforcement in schools. Except. Child. 67(2), 173–186 (2001)
Behnke, K., Janssen, M.F.: Boundary conditions for traceability in food supply chains using blockchain technology. Int. J. Inf. Manag. 52, 101969 (2020)
Mondal, S., Wijewardena, K.P., Karuppuswami, S., Kriti, N., Kumar, D., Chahal, P.: Blockchain inspired RFID-based information architecture for food supply chain. IEEE Internet Things J. 6(3), 5803–5813 (2019)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2021 IFIP International Federation for Information Processing
About this paper
Cite this paper
Patidar, A., Sharma, M., Agrawal, R., Sangwan, K.S. (2021). A Smart Contracts and Tokenization Enabled Permissioned Blockchain Framework for the Food Supply Chain. In: Dolgui, A., Bernard, A., Lemoine, D., von Cieminski, G., Romero, D. (eds) Advances in Production Management Systems. Artificial Intelligence for Sustainable and Resilient Production Systems. APMS 2021. IFIP Advances in Information and Communication Technology, vol 630. Springer, Cham. https://doi.org/10.1007/978-3-030-85874-2_24
Download citation
DOI: https://doi.org/10.1007/978-3-030-85874-2_24
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-85873-5
Online ISBN: 978-3-030-85874-2
eBook Packages: Computer ScienceComputer Science (R0)