The Implementation of IoT on Supply Chain Management Information System

Authors

  • Aanisah Waliy Ishlah Universitas Esa Unggul
  • Erni Erni Universitas Esa Unggul
  • Juhanda Juhanda Universitas Esa Unggul
  • Kristianes Kristianes Universitas Esa Unggul
  • Muhammad Arif Rahman Hakim Universitas Esa Unggul
  • Hendy Tannady Universitas Esa Unggul

DOI:

https://doi.org/10.61487/jssbs.v3i2.151

Keywords:

internet of things, supply chain management, operational efficiency, management information system

Abstract

In the increasingly advanced digital era, the Internet of Things (IoT) has become a key element in industrial transformation, especially in supply chain management information systems. This study aims to explore the implementation of IoT in improving the efficiency and effectiveness of the supply chain in the manufacturing sector. Using a literature review approach, this study identifies various IoT applications, such as sensor networks, Radio Frequency Identification (RFID) technology, and cloud computing that have made significant contributions to real-time data collection, asset tracking, and inventory management. The results of the study indicate that IoT implementation not only improves operational efficiency but also strengthens the competitiveness of companies through automation and artificial intelligence-based data analysis. IoT has been proven to optimize production processes, improve supply chain visibility, and reduce operational costs. However, challenges such as device interoperability, cybersecurity, and resistance to technological change are still major barriers to IoT adoption. This study also highlights the importance of collaboration between IoT solution providers, technology experts, and policy makers to create an ecosystem that supports innovation. The right implementation strategy, accompanied by comprehensive workforce training and a collaborative approach, are needed to maximize the potential of IoT.

References

Abubaker, H., Arthur, D., Anshuman, K., & Huei, L. (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.

Bisio, I., Garibotto, C., Lavagetto, F., Sciarrone, A., & Zappatore, S. (2018). Unauthorized Amateur UAV Detection Based on WiFi Statistical Fingerprint Analysis. IEEE Communications Magazine, 56(4), 106–111. https://doi.org/10.1109/MCOM.2018.1700340

Boobalan, P., Ramu, S. P., Pham, Q.-V., Dev, K., Pandya, S., Maddikunta, P. K. R., Gadekallu, T. R., & Huynh-The, T. (2022). Fusion of Federated Learning and Industrial Internet of Things: A survey. Comput. Netw., 212(C). https://doi.org/10.1016/j.comnet.2022.109048

Judijanto, L., Tahir, A., Sunardi, Muthmainah, H. N., & Syamsuddin, A. (2024). The Development of Internet of Things (IoT) Technology in the Manufacturing Industry in Indonesia A Literature Review on Implementation and Impact on Operational Efficiency. Sciences Du Nord Nature Science and Technology, 1(01). https://doi.org/10.58812/65z9ym36

Koot, M., Mes, M. R. K., & Iacob, M. E. (2021). A systematic literature review of supply chain decision making supported by the Internet of Things and Big Data Analytics. Computers and Industrial Engineering, 154. https://doi.org/10.1016/j.cie.2020.107076

Lampropoulos, G., Siakas, K., & Anastasiadis, T. (2019). Internet of Things in the Context of Industry 4.0: An Overview. International Journal of Entrepreneurial Knowledge, 7(1), 4–19. https://doi.org/10.2478/ijek-2019-0001

Mashayekhy, Y., Babaei, A., Yuan, X. M., & Xue, A. (2022). Impact of Internet of Things (IoT) on Inventory Management: A Literature Survey. In Logistics (Vol. 6, Issue 3, pp. 1–19). MDPI. https://doi.org/10.3390/logistics6020033

Mourtzis, D., Angelopoulos, J., & Panopoulos, N. (2021). Smart manufacturing and tactile internet based on 5g in industry 4.0: Challenges, applications and new trends. Electronics, 10(3175), 1–30. https://doi.org/10.3390/electronics10243175

Mu, X., & Antwi-Afari, M. F. (2024). The applications of Internet of Things (IoT) in industrial management: a science mapping review. International Journal of Production Research, 62(5), 1928–1952. https://doi.org/10.1080/00207543.2023.2290229

Nejad, M. M., Mashayekhy, L., & Grosu, D. (2015). Truthful Greedy Mechanisms for Dynamic Virtual Machine Provisioning and Allocation in Clouds. IEEE Transactions on Parallel and Distributed Systems, 26(2), 594–603. https://doi.org/10.1109/TPDS.2014.2308224

Nigappa, K., & Selvakumar, J. (2016). Industry 4.0: A cost and energy efficient micro PLC for smart manufacturing. Indian Journal of Science and Technology, 9(44). https://doi.org/10.17485/ijst/2016/v9i44/101946

Perano, M., Cammarano, A., Varriale, V., Del Regno, C., Michelino, F., & Caputo, M. (2023). Embracing supply chain digitalization and unphysicalization to enhance supply chain performance: a conceptual framework. International Journal of Physical Distribution and Logistics Management, 53(5–6), 628–659. https://doi.org/10.1108/IJPDLM-06-2022-0201

Shekarian, E., Ijadi, B., Zare, A., & Majava, J. (2022). Sustainable Supply Chain Management: A Comprehensive Systematic Review of Industrial Practices. In Sustainability (Switzerland) (Vol. 14, Issue 13). MDPI. https://doi.org/10.3390/su14137892

Soori, M., Arezoo, B., & Dastres, R. (2023a). Internet of Things for Smart Factories in Industry 4.0. In Internet of Things and Cyber-Physical Systems (Vol. 3, pp. 192–204). KeAi Communications Co. https://doi.org/10.1016/j.iotcps.2023.04.006

Soori, M., Arezoo, B., & Dastres, R. (2023b). Internet of things for smart factories in industry 4.0, a review. In Internet of Things and Cyber-Physical Systems (Vol. 3, pp. 192–204). KeAi Communications Co. https://doi.org/10.1016/j.iotcps.2023.04.006

Taj, S., Imran, A. S., Kastrati, Z., Daudpota, S. M., Memon, R. A., & Ahmed, J. (2023). IoT-based supply chain management: A systematic literature review. In Internet of Things (Netherlands) (Vol. 24). Elsevier B.V. https://doi.org/10.1016/j.iot.2023.100982

Toorajipour, R., Sohrabpour, V., Nazarpour, A., Oghazi, P., & Fischl, M. (2021). Artificial intelligence in supply chain management: A systematic literature review. Journal of Business Research, 122, 502–517. https://doi.org/10.1016/j.jbusres.2020.09.009

Wang, S., Wan, J., Li, D., & Zhang, C. (2016). Implementing Smart Factory of Industrie 4.0: An Outlook. International Journal of Distributed Sensor Networks, 2016. https://doi.org/10.1155/2016/3159805

Downloads

Published

2025-06-25

How to Cite

Ishlah, A. W., Erni, E., Juhanda, J., Kristianes, K., Hakim, M. A. R., & Tannady, H. (2025). The Implementation of IoT on Supply Chain Management Information System. Journal of Social Science and Business Studies, 3(2), 438–443. https://doi.org/10.61487/jssbs.v3i2.151

Issue

Vol. 3 No. 2 (2025): JSSBS

Section

Articles

License

Copyright (c) 2025 Aanisah Waliy Ishlah, Erni Erni, Juhanda Juhanda, Kristianes Kristianes, Muhammad Arif Rahman Hakim, Hendy Tannady

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.