[go: up one dir, main page]

Skip to main content

Opportunities of Blockchain Traceability Data for Environmental Impact Assessment in a Context of Sustainable Production

  • Conference paper
  • First Online:
Advances in Production Management Systems. Artificial Intelligence for Sustainable and Resilient Production Systems (APMS 2021)

Abstract

Supply chains face various challenges for collecting reliable, transparent, and up-to-date data due to their increased complexity and globalization. This threatens their sustainability and limits the efficiency of environmental impact assessment of products with Life Cycle Assessment (LCA) methodology. This paper explores the opportunities, limitations, and research paths for assessing products' environmental impact using blockchain-based traceability data based on a systematic literature review. Results showed that blockchains are mainly used for product traceability and could be further used for the environmental impact assessment of products. A first architecture model and integration framework was proposed in the literature for the integration of blockchain-based LCA systems. However, the maturity of blockchain and supply chain organization are the prevalent barriers to implementing these systems. Further research is essential to shape these first results with strong opportunities identified.

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

Access this chapter

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 149.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 199.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 199.99
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

Institutional subscriptions

Similar content being viewed by others

References

  1. Teh, D., Khan, T., Corbitt, B., Ong, C.E.: Sustainability strategy and blockchain-enabled life cycle assessment: a focus on materials industry. Environ. Syst. Decis. 40(4), 605–622 (2020). https://doi.org/10.1007/s10669-020-09761-4

    Article  Google Scholar 

  2. Farooque, M., Jain, V., Zhang, A., Li, Z.: Fuzzy DEMATEL analysis of barriers to blockchain-based life cycle assessment in China. Comput. Ind. Eng. 147, 106684 (2020). https://doi.org/10.1016/j.cie.2020.106684

    Article  Google Scholar 

  3. Zhang, A., Zhong, R.Y., Farooque, M., Kang, K., Venkatesh, V.G.: Blockchain-based life cycle assessment: an implementation framework and system architecture. Resour. Conserv. Recycl. 152, 104512 (2020). https://doi.org/10.1016/j.resconrec.2019.104512

  4. Hauschild, M., Jeswiet, J., Alting, L.: From life cycle assessment to sustainable production: status and perspectives. CIRP Ann. 54, 1–21 (2005). https://doi.org/10.1016/s0007-8506(07)60017-1

    Article  Google Scholar 

  5. Wang, M., Wang, B., Abareshi, A.: Blockchain technology and its role in enhancing supply chain integration capability and reducing carbon emission: a conceptual framework. Sustainability. 12, 10550 (2020). https://doi.org/10.3390/su122410550

    Article  Google Scholar 

  6. Hastig, G.M., Sodhi, M.S.: Blockchain for supply chain traceability: business requirements and critical success factors. Prod. Oper. Manag. 29, 935–954 (2020). https://doi.org/10.1111/poms.13147

    Article  Google Scholar 

  7. Saberi, S., Kouhizadeh, M., Sarkis, J., Shen, L.: Blockchain technology and its relationships to sustainable supply chain management. Int. J. Prod. Res. 57, 2117–2135 (2018). https://doi.org/10.1080/00207543.2018.1533261

    Article  Google Scholar 

  8. Mukherjee, A.A., Singh, R.K., Mishra, R., Bag, S.: Application of blockchain technology for sustainability development in agricultural supply chain: justification framework. Oper. Manag. Res. 1, 16 (2021). https://doi.org/10.1007/s12063-021-00180-5

    Article  Google Scholar 

  9. Katsikouli, P., Wilde, A.S., Dragoni, N., Høgh-Jensen, H.: On the benefits and challenges of blockchains for managing food supply chains. J. Sci. Food Agric. (2020). https://doi.org/10.1002/jsfa.10883

    Article  Google Scholar 

  10. Park, A., Li, H.: The effect of blockchain technology on supply chain sustainability performances. Sustainability. 13, 1726 (2021). https://doi.org/10.3390/su13041726

    Article  Google Scholar 

  11. Pigné, Y., et al.: A tool to operationalize dynamic LCA, including time differentiation on the complete background database. Int. J. Life Cycle Assess. 25(2), 267–279 (2019). https://doi.org/10.1007/s11367-019-01696-6

    Article  Google Scholar 

  12. Sunny, J., Undralla, N., Madhusudanan Pillai, V.: Supply chain transparency through blockchain-based traceability: an overview with demonstration. Comput. Ind. Eng. 150, 106895 (2020). https://doi.org/10.1016/j.cie.2020.106895

    Article  Google Scholar 

  13. Demestichas, K., Peppes, N., Alexakis, T., Adamopoulou, E.: Blockchain in agriculture traceability systems: a review. Appl. Sci. 10, 4113 (2020). https://doi.org/10.3390/app10124113

    Article  Google Scholar 

  14. Agrawal, T.K., Kumar, V., Pal, R., Wang, L., Chen, Y.: Blockchain-based framework for supply chain traceability: a case example of textile and clothing industry. Comput. Ind. Eng. 154, 107130 (2021). https://doi.org/10.1016/j.cie.2021.107130

    Article  Google Scholar 

  15. Lim, M.K., Li, Y., Wang, C., Tseng, M.-L.: A literature review of blockchain technology applications in supply chains: a comprehensive analysis of themes, methodologies and industries. Comput. Ind. Eng. 154, 107133 (2021). https://doi.org/10.1016/j.cie.2021.107133

    Article  Google Scholar 

  16. Köhler, S., Pizzol, M.: Technology assessment of blockchain-based technologies in the food supply chain. J. Clean. Prod. 269, 122193 (2020). https://doi.org/10.1016/j.jclepro.2020.122193

    Article  Google Scholar 

  17. Mahyuni, L.P., Adrian, R., Darma, G.S., Krisnawijaya, N.N.K., Dewi, I.G.A.A.P., Permana, G.P.L.: Mapping the potentials of blockchain in improving supply chain performance. Cogent Bus. Manage. 7, 1788329 (2020). https://doi.org/10.1080/23311975.2020.1788329

  18. Feng, H., Wang, X., Duan, Y., Zhang, J., Zhang, X.: Applying blockchain technology to improve agri-food traceability: a review of development methods, benefits and challenges. J. Clean. Prod. 260, 121031 (2020). https://doi.org/10.1016/j.jclepro.2020.121031

    Article  Google Scholar 

  19. Rosado da Cruz, A., Cruz, E.: Blockchain-based traceability platforms as a tool for sustainability. In: Proceedings of the 22nd International Conference on Enterprise Information Systems. SCITEPRESS - Science and Technology Publications (2020)

    Google Scholar 

  20. Kamble, S.S., Gunasekaran, A., Sharma, R.: Modeling the blockchain enabled traceability in agriculture supply chain. Int. J. Inf. Manage. 52, 101967 (2020). https://doi.org/10.1016/j.ijinfomgt.2019.05.023

    Article  Google Scholar 

  21. Alonso, R.S., Sittón-Candanedo, I., García, Ó., Prieto, J., Rodríguez-González, S.: An intelligent Edge-IoT platform for monitoring livestock and crops in a dairy farming scenario. Ad Hoc Netw. 98, 102047 (2020). https://doi.org/10.1016/j.adhoc.2019.102047

    Article  Google Scholar 

  22. Zhao, G., et al.: Blockchain technology in agri-food value chain management: a synthesis of applications, challenges and future research directions. Comput. Ind. 109, 83–99 (2019). https://doi.org/10.1016/j.compind.2019.04.002

    Article  Google Scholar 

  23. Karamachoski, J., Marina, N., Taskov, P.: Blockchain-based application for certification management. Teh. glas. (Online) 14, 488–492 (2020). https://doi.org/10.31803/tg-20200811113729

  24. Shoaib, M., Lim, M.K., Wang, C.: An integrated framework to prioritize blockchain-based supply chain success factors. IMDS. 120, 2103–2131 (2020). https://doi.org/10.1108/imds-04-2020-0194

    Article  Google Scholar 

  25. Saurabh, S., Dey, K.: Blockchain technology adoption, architecture, and sustainable agri-food supply chains. J. Clean. Prod. 284, 124731 (2021). https://doi.org/10.1016/j.jclepro.2020.124731

    Article  Google Scholar 

  26. Paliwal, V., Chandra, S., Sharma, S.: Blockchain technology for sustainable supply chain management: a systematic literature review and a classification framework. Sustainability. 12, 7638 (2020). https://doi.org/10.3390/su12187638

    Article  Google Scholar 

  27. Rosado da Cruz, A., Santos, F., Mendes, P., Cruz, E.: Blockchain-based traceability of carbon footprint: a solidity smart contract for ethereum. In: Proceedings of the 22nd International Conference on Enterprise Information Systems. SCITEPRESS - Science and Technology Publications (2020)

    Google Scholar 

  28. Shakhbulatov, D., Arora, A., Dong, Z., Rojas-Cessa, R.: Blockchain implementation for analysis of carbon footprint across food supply chain. In: 2019 IEEE International Conference on Blockchain (Blockchain). IEEE (2019)

    Google Scholar 

  29. Kouhizadeh, M., Saberi, S., Sarkis, J.: Blockchain technology and the sustainable supply chain: theoretically exploring adoption barriers. Int. J. Prod. Econ. 231, 107831 (2021). https://doi.org/10.1016/j.ijpe.2020.107831

    Article  Google Scholar 

  30. Bakarich, K.M., Castonguay, J. "Jack", O'Brien, P.E.: The Use of Blockchains to Enhance Sustainability Reporting and Assurance*. Account Perspect. 19, 389–412 (2020). https://doi.org/10.1111/1911-3838.12241

  31. Jamwal, A., Agrawal, R., Sharma, M., Kumar, V.: Review on multi-criteria decision analysis in sustainable manufacturing decision making. Int. J. Sustainable Eng., 1–24 (2020). https://doi.org/10.1080/19397038.2020.1866708

  32. Jamwal, A., Agrawal, R., Sharma, M., Kumar, A., Kumar, V., Garza-Reyes, J.A.A.: Machine learning applications for sustainable manufacturing: a bibliometric-based review for future research. JEIM. ahead-of-print (2021). https://doi.org/10.1108/jeim-09-2020-0361

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Vincent Carrières .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2021 IFIP International Federation for Information Processing

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Carrières, V., Lemieux, AA., Pellerin, R. (2021). Opportunities of Blockchain Traceability Data for Environmental Impact Assessment in a Context of Sustainable Production. 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_13

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-85874-2_13

  • 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)

Publish with us

Policies and ethics