IoT and Blockchain in Supply Chain Management for Advancing Sustainability and Operational Optimization

Authors

  • S. Shyni Carmel Mary
  • Kishore Kunal Professor of Business Analytics, Loyola Institute of Business Administration, Chennai , TamilNadu , India – 600034 https://orcid.org/0000-0003-4664-1404
  • Vairavel Madeshwaren Dhanalakshmi Srinivasan College of Engineering , Coimbatore ,Tamil Nadu ,India -641105

DOI:

https://doi.org/10.22399/ijcesen.1103

Keywords:

RFID, blockchain, supply chain, digital technologies, IoT, sustainability

Abstract

The rapid advancement of IoT technologies has emerged as a key driver of sustainable development, reshaping industries and societal structures. This study critically examines the intersection of IoT and sustainability by analyzing contemporary literature on the subject. A comprehensive review of IoT-driven innovations highlights their transformative impact across sectors such as agriculture, smart cities, and resource management. The research investigates how digitalization, particularly within supply chains, redefines operational strategies and enhances sustainability metrics. With the integration of technologies like RFID, blockchain, and IoT under Industry 4.0, organizations are revolutionizing process efficiency, transparency, and environmental responsibility. To assess these implications, the study conducts two comparative simulation experiments involving a three-party supply chain in cheese production—one utilizing traditional methods and the other leveraging IoT-based innovations. Results reveal significant improvements in order management efficiency and compliance handling, underscoring the critical role of emerging technologies in fostering sustainable practices. The proposed framework provides valuable insights into the broader management implications of IoT adoption, reinforcing its potential as a catalyst for global sustainability initiatives.

References

De Vass, Tharaka, Himanshu Shee, and Shah J. Miah. (2021). IoT in supply chain management: a narrative on retail sector sustainability. International Journal of Logistics Research and Applications. 24(6); 605-624. DOI:10.1080/13675567.2020.1798881

Nozari, Hamed, Mohammad Fallah, and Agnieszka Szmelter-Jarosz. (2021). A conceptual framework of green smart IoT-based supply chain management. International Journal of Research in Industrial Engineering. 10(1); 22-34.

Manavalan, Ethirajan, and Kandasamy Jayakrishna. (2019). A review of Internet of Things (IoT) embedded sustainable supply chain for industry 4.0 requirements. Computers & Industrial Engineering. 127; 925-953. DOI:10.1016/j.cie.2018.11.030

Mastos, Theofilos D., et al. (2020). Industry 4.0 sustainable supply chains: An application of an IoT enabled scrap metal management solution. Journal of Cleaner Production. 269; 122377. DOI:10.1016/j.jclepro.2020.122377

Esmaeilian, Behzad, et al. (2020). Blockchain for the future of sustainable supply chain management in Industry 4.0. Resources, Conservation and Recycling. 163; 105064. DOI:10.1016/j.resconrec.2020.105064

Accorsi, Riccardo, et al. (2017). Internet-of-things paradigm in food supply chains control and management. Procedia Manufacturing. 11; 889-895. DOI:10.1016/j.promfg.2017.07.198

Wang, Jing, and Huili Yue. (2017). Food safety pre-warning system based on data mining for a sustainable food supply chain. Food Control. 73; 223-229. DOI:10.1016/j.foodcont.2016.09.048

Davcev, Danco, et al. (2018). Blockchain-based distributed cloud/fog platform for IoT supply chain management. Eighth International Conference on Advances in Computing, Electronics and Electrical Technology (CEET). DOI:10.15224/978-1-63248-138-0-45

Pishdar, Mahsa, et al. (2018). Internet of Things and its challenges in supply chain management: a rough strength-relation analysis method. E+M Ekonomie a Management 21(2):208-222 DOI: 10.15240/tul/001/2018-2-014

Garrido-Hidalgo, Celia, et al. (2019). An end-to-end internet of things solution for reverse supply chain management in industry 4.0. Computers in Industry. 112; 103127. DOI:10.1016/j.compind.2019.103127

Ben-Daya, Mohamed, Elkafi Hassini, and Zied Bahroun. (2019). Internet of things and supply chain management: a literature review. International Journal of Production Research. 57(15-16); 4719-4742. DOI:10.1080/00207543.2017.1402140

Yang, K., Duan, T., Feng, J. and Mishra, A.R. (2022), Internet of things challenges of sustainable supply chain management in the manufacturing sector using an integrated q-Rung Orthopair Fuzzy-CRITIC-VIKOR method, Journal of Enterprise Information Management, 35(4/5);1011-1039. https://doi.org/10.1108/JEIM-06-2021-0261

Saberi, Sara, et al. (2019). Blockchain technology and its relationships to sustainable supply chain management. International Journal of Production Research. 57(7); 2117-2135. DOI:10.1080/00207543.2018.1533261

Haddud, A., DeSouza, A., Khare, A. and Lee, H. (2017), Examining potential benefits and challenges associated with the Internet of Things integration in supply chains, Journal of Manufacturing Technology Management, 28(8);1055-1085. https://doi.org/10.1108/JMTM-05-2017-0094

Aamer, A.M., Al-Awlaqi, M.A., Affia, I., Arumsari, S. and Mandahawi, N. (2021), The internet of things in the food supply chain: adoption challenges, Benchmarking: An International Journal, 28(8); 2521-2541. https://doi.org/10.1108/BIJ-07-2020-0371

N. Vidhya, & C. Meenakshi. (2025). Blockchain-Enabled Secure Data Aggregation Routing (BSDAR) Protocol for IoT-Integrated Next-Generation Sensor Networks for Enhanced Security. International Journal of Computational and Experimental Science and Engineering, 11(1). https://doi.org/10.22399/ijcesen.722

Varriale, Vincenzo, Antonello Cammarano, Francesca Michelino, and Mauro Caputo. (2021). Sustainable supply chains with blockchain, IoT and RFID: A simulation on order management. Sustainability. 13(11); 6372. DOI:10.3390/su13116372

Downloads

Published

2025-02-18

How to Cite

S. Shyni Carmel Mary, Kishore Kunal, & Madeshwaren, V. (2025). IoT and Blockchain in Supply Chain Management for Advancing Sustainability and Operational Optimization. International Journal of Computational and Experimental Science and Engineering, 11(1). https://doi.org/10.22399/ijcesen.1103

Issue

Section

Research Article