Case Study: Application of the Internet of Things (IoT) in the Manufacturing Industry in Indonesia
Abstract
The adoption of the Internet of Things (IoT) in the manufacturing industry has revolutionized production processes globally, offering enhanced automation, real-time monitoring, and improved decision-making. In Indonesia, however, the application of IoT in the manufacturing sector remains limited despite its potential to increase productivity and efficiency. The primary objective of this research is to assess the role of IoT in enhancing operational efficiency and productivity in Indonesia’s manufacturing industry. The study also aims to identify the barriers to IoT adoption and provide recommendations for overcoming these challenges. This study utilizes a case study approach, focusing on selected manufacturing companies in Indonesia that have integrated IoT technologies into their production processes. Data was collected through interviews, surveys, and site visits, supplemented by secondary data from industry reports. Qualitative and quantitative analysis techniques were applied to evaluate the findings. The research indicates that IoT implementation has led to significant improvements in process optimization, reduced downtime, and better resource management. However, challenges such as high initial costs, lack of skilled personnel, and resistance to change were identified as key obstacles hindering broader adoption. The findings highlight the transformative potential of IoT in Indonesia’s manufacturing sector.
Full text article
References
Amjad, M. S., Rafique, M. Z., Hussain, S., & Khan, M. A. (2020). A new vision of LARG Manufacturing—A trail towards Industry 4.0. CIRP Journal of Manufacturing Science and Technology, 31, 377–393. https://doi.org/10.1016/j.cirpj.2020.06.012
Balsara, S., Jain, P. K., & Ramesh, A. (2019). An integrated approach using AHP and DEMATEL for evaluating climate change mitigation strategies of the Indian cement manufacturing industry. Environmental Pollution, 252, 863–878. https://doi.org/10.1016/j.envpol.2019.05.059
Bellavista, P., Berrocal, J., Corradi, A., Das, S. K., Foschini, L., & Zanni, A. (2019). A survey on fog computing for the Internet of Things. Pervasive and Mobile Computing, 52, 71–99. https://doi.org/10.1016/j.pmcj.2018.12.007
Borregan-Alvarado, J., Alvarez-Meaza, I., Cilleruelo-Carrasco, E., & Garechana-Anacabe, G. (2020). A Bibliometric Analysis in Industry 4.0 and Advanced Manufacturing: What about the Sustainable Supply Chain? Sustainability, 12(19), 7840. https://doi.org/10.3390/su12197840
Butt, J. (2020). A Strategic Roadmap for the Manufacturing Industry to Implement Industry 4.0. Designs, 4(2), 11. https://doi.org/10.3390/designs4020011
Caviggioli, F., & Ughetto, E. (2019). A bibliometric analysis of the research dealing with the impact of additive manufacturing on industry, business and society. International Journal of Production Economics, 208, 254–268. https://doi.org/10.1016/j.ijpe.2018.11.022
Dai, H.-N., Wang, H., Xu, G., Wan, J., & Imran, M. (2020). Big data analytics for manufacturing internet of things: Opportunities, challenges and enabling technologies. Enterprise Information Systems, 14(9–10), 1279–1303. https://doi.org/10.1080/17517575.2019.1633689
Dang, L. M., Piran, Md. J., Han, D., Min, K., & Moon, H. (2019). A Survey on Internet of Things and Cloud Computing for Healthcare. Electronics, 8(7), 768. https://doi.org/10.3390/electronics8070768
De La Torre Parra, G., Rad, P., Choo, K.-K. R., & Beebe, N. (2020). Detecting Internet of Things attacks using distributed deep learning. Journal of Network and Computer Applications, 163, 102662. https://doi.org/10.1016/j.jnca.2020.102662
Emrouznejad, A., Yang, G., & Amin, G. R. (2019). A novel inverse DEA model with application to allocate the CO2 emissions quota to different regions in Chinese manufacturing industries. Journal of the Operational Research Society, 70(7), 1079–1090. https://doi.org/10.1080/01605682.2018.1489344
Grassi, A., Guizzi, G., Santillo, L. C., & Vespoli, S. (2020). A semi-heterarchical production control architecture for industry 4.0-based manufacturing systems. Manufacturing Letters, 24, 43–46. https://doi.org/10.1016/j.mfglet.2020.03.007
Gupta, B. B., & Quamara, M. (2020). An overview of Internet of Things (IoT): Architectural aspects, challenges, and protocols. Concurrency and Computation: Practice and Experience, 32(21), e4946. https://doi.org/10.1002/cpe.4946
Haleem, A., & Javaid, M. (2019). Additive Manufacturing Applications in Industry 4.0: A Review. Journal of Industrial Integration and Management, 04(04), 1930001. https://doi.org/10.1142/S2424862219300011
Hui, H., Ding, Y., Shi, Q., Li, F., Song, Y., & Yan, J. (2020). 5G network-based Internet of Things for demand response in smart grid: A survey on application potential. Applied Energy, 257, 113972. https://doi.org/10.1016/j.apenergy.2019.113972
Jena, M. C., Mishra, S. K., & Moharana, H. S. (2020). Application of Industry 4.0 to enhance sustainable manufacturing. Environmental Progress & Sustainable Energy, 39(1), 13360. https://doi.org/10.1002/ep.13360
Jia, M., Komeily, A., Wang, Y., & Srinivasan, R. S. (2019). Adopting Internet of Things for the development of smart buildings: A review of enabling technologies and applications. Automation in Construction, 101, 111–126. https://doi.org/10.1016/j.autcon.2019.01.023
Kamble, S. S., Gunasekaran, A., Ghadge, A., & Raut, R. (2020). A performance measurement system for industry 4.0 enabled smart manufacturing system in SMMEs- A review and empirical investigation. International Journal of Production Economics, 229, 107853. https://doi.org/10.1016/j.ijpe.2020.107853
Kassab, W., & Darabkh, K. A. (2020). A–Z survey of Internet of Things: Architectures, protocols, applications, recent advances, future directions and recommendations. Journal of Network and Computer Applications, 163, 102663. https://doi.org/10.1016/j.jnca.2020.102663
Khanna, A., & Kaur, S. (2019). Evolution of Internet of Things (IoT) and its significant impact in the field of Precision Agriculture. Computers and Electronics in Agriculture, 157, 218–231. https://doi.org/10.1016/j.compag.2018.12.039
Kolokas, N., Vafeiadis, T., Ioannidis, D., & Tzovaras, D. (2020). A generic fault prognostics algorithm for manufacturing industries using unsupervised machine learning classifiers. Simulation Modelling Practice and Theory, 103, 102109. https://doi.org/10.1016/j.simpat.2020.102109
Krishnan, R. S., Julie, E. G., Robinson, Y. H., Raja, S., Kumar, R., Thong, P. H., & Son, L. H. (2020). Fuzzy Logic based Smart Irrigation System using Internet of Things. Journal of Cleaner Production, 252, 119902. https://doi.org/10.1016/j.jclepro.2019.119902
Lee, J., Azamfar, M., & Singh, J. (2019). A blockchain enabled Cyber-Physical System architecture for Industry 4.0 manufacturing systems. Manufacturing Letters, 20, 34–39. https://doi.org/10.1016/j.mfglet.2019.05.003
Mohamad Noor, M. B., & Hassan, W. H. (2019). Current research on Internet of Things (IoT) security: A survey. Computer Networks, 148, 283–294. https://doi.org/10.1016/j.comnet.2018.11.025
Mohan Prasad, M., Dhiyaneswari, J. M., Ridzwanul Jamaan, J., Mythreyan, S., & Sutharsan, S. M. (2020). A framework for lean manufacturing implementation in Indian textile industry. Materials Today: Proceedings, 33, 2986–2995. https://doi.org/10.1016/j.matpr.2020.02.979
Porstmann, S., Wannemacher, T., & Drossel, W.-G. (2020). A comprehensive comparison of state-of-the-art manufacturing methods for fuel cell bipolar plates including anticipated future industry trends. Journal of Manufacturing Processes, 60, 366–383. https://doi.org/10.1016/j.jmapro.2020.10.041
Prabhu, R., Bracken, J., Armstrong, C. B., Jablokow, K., Simpson, T. W., & Meisel, N. A. (2020). Additive creativity: Investigating the use of design for additive manufacturing to encourage creativity in the engineering design industry. International Journal of Design Creativity and Innovation, 8(4), 198–222. https://doi.org/10.1080/21650349.2020.1813633
Puliafito, C., Mingozzi, E., Longo, F., Puliafito, A., & Rana, O. (2019). Fog Computing for the Internet of Things: A Survey. ACM Transactions on Internet Technology, 19(2), 1–41. https://doi.org/10.1145/3301443
Ray, P. P., Dash, D., & De, D. (2019). Edge computing for Internet of Things: A survey, e-healthcare case study and future direction. Journal of Network and Computer Applications, 140, 1–22. https://doi.org/10.1016/j.jnca.2019.05.005
Savaglio, C., Ganzha, M., Paprzycki, M., B?dic?, C., Ivanovi?, M., & Fortino, G. (2020). Agent-based Internet of Things: State-of-the-art and research challenges. Future Generation Computer Systems, 102, 1038–1053. https://doi.org/10.1016/j.future.2019.09.016
Sepasgozar, S. M. E., Shi, A., Yang, L., Shirowzhan, S., & Edwards, D. J. (2020). Additive Manufacturing Applications for Industry 4.0: A Systematic Critical Review. Buildings, 10(12), 231. https://doi.org/10.3390/buildings10120231
Shamsoshoara, A., Korenda, A., Afghah, F., & Zeadally, S. (2020). A survey on physical unclonable function (PUF)-based security solutions for Internet of Things. Computer Networks, 183, 107593. https://doi.org/10.1016/j.comnet.2020.107593
Ta?demir, A., & Nohut, S. (2021). An overview of wire arc additive manufacturing (WAAM) in shipbuilding industry. Ships and Offshore Structures, 16(7), 797–814. https://doi.org/10.1080/17445302.2020.1786232
Wang, Z. L. (2019). Entropy theory of distributed energy for internet of things. Nano Energy, 58, 669–672. https://doi.org/10.1016/j.nanoen.2019.02.012
Wu, F., Wu, T., & Yuce, M. R. (2018). An Internet-of-Things (IoT) Network System for Connected Safety and Health Monitoring Applications. Sensors, 19(1), 21. https://doi.org/10.3390/s19010021
Yadav, G., Kumar, A., Luthra, S., Garza-Reyes, J. A., Kumar, V., & Batista, L. (2020). A framework to achieve sustainability in manufacturing organisations of developing economies using industry 4.0 technologies’ enablers. Computers in Industry, 122, 103280. https://doi.org/10.1016/j.compind.2020.103280
Yeom, S. B., Ha, E.-S., Kim, M.-S., Jeong, S. H., Hwang, S.-J., & Choi, D. H. (2019). Application of the Discrete Element Method for Manufacturing Process Simulation in the Pharmaceutical Industry. Pharmaceutics, 11(8), 414. https://doi.org/10.3390/pharmaceutics11080414
Yli-Ojanperä, M., Sierla, S., Papakonstantinou, N., & Vyatkin, V. (2019). Adapting an agile manufacturing concept to the reference architecture model industry 4.0: A survey and case study. Journal of Industrial Information Integration, 15, 147–160. https://doi.org/10.1016/j.jii.2018.12.002
Zeadally, S., Shaikh, F. K., Talpur, A., & Sheng, Q. Z. (2020). Design architectures for energy harvesting in the Internet of Things. Renewable and Sustainable Energy Reviews, 128, 109901. https://doi.org/10.1016/j.rser.2020.109901
Zhai, X., & An, Y. (2020). Analyzing influencing factors of green transformation in China’s manufacturing industry under environmental regulation: A structural equation model. Journal of Cleaner Production, 251, 119760. https://doi.org/10.1016/j.jclepro.2019.119760
Zhu, W., Fan, X., & Zhang, Y. (2019). Applications and research trends of digital human models in the manufacturing industry. Virtual Reality & Intelligent Hardware, 1(6), 558–579. https://doi.org/10.1016/j.vrih.2019.09.005