Two-Dimensional Transformation of a Conventional Manufacturer into a Smart Manufacturer: Architectonic Design, Maintenance Strategies and Applications
DOI:
https://doi.org/10.33193/IJSER.1.1.2022.39Keywords:
Industry 4.0, Internet of things, artificial intelligence, smart manufacturers, IIoT, hierarchical architectureAbstract
Today, Internet of Things (IoT) plays an important role in emerging industries. Due to that, it is considered as a major focus for research in academic and industrial fields in recent years. The Industrial Internet of Things (IIoT) is an assembly of industrial automation, control systems, and Internet of Things (IoT) systems. The broad goals of IIoT can increase work efficiency and productivity, improving asset management through product customization, intelligent monitoring of production applications, and preventive and predictive maintenance of industrial equipment. This article provides a comprehensive list of up-to-date researches carried to transform conventional manufacturers into smart manufacturers by focusing on the two-dimensional dominant key enabling technologies, IIoT and Artificial Intelligence (AI). An IIoT-based generic hieratical architecture is proposed for a smart manufacturer to handle different manufacturer tasks and communication protocols. In addition, current industrial maintenance goals and strategies with major application domains in the transformation to industry 4.0 are carried out.
References
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[2] R. Achary and J. Shaileshbhai, “Internet of Things: Essential Technology, Application Domain, Privacy and Security Challenges,” Int J Comput Appl, vol. 157, no. 6, 2017, doi: 10.5120/ijca2017912609.
[3] N. N. Misra, Y. Dixit, A. Al-Mallahi, M. S. Bhullar, R. Upadhyay, and A. Martynenko, “IoT, big data and artificial intelligence in agriculture and food industry,” IEEE Internet Things J, 2020, doi: 10.1109/jiot.2020.2998584.
[4] S. K. Singh, S. Rathore, and J. H. Park, “BlockIoTIntelligence: A Blockchain-enabled Intelligent IoT Architecture with Artificial Intelligence,” Future Generation Computer Systems, vol. 110, 2020, doi: 10.1016/j.future.2019.09.002.
[5] E. B. Hansen and S. Bøgh, “Artificial intelligence and internet of things in small and medium-sized enterprises: A survey,” J Manuf Syst, vol. 58, 2021, doi: 10.1016/j.jmsy.2020.08.009.
[6] G. R. Kanagachidambaresan, “Introduction to Wired and Wireless IoT Protocols in SBC,” in Internet of Things, 2021. doi: 10.1007/978-3-030-72957-8_5.
[7] L. E. Frenzel, “Inter-Integrated Circuit (I2C) Bus,” Handbook of Serial Communications Interfaces, pp. 65–68, Jan. 2016, doi: 10.1016/B978-0-12-800629-0.00013-9.
[8] L. E. Frenzel, “Serial Peripheral Interface (SPI),” Handbook of Serial Communications Interfaces, pp. 143–145, Jan. 2016, doi: 10.1016/B978-0-12-800629-0.00035-8.
[9] A. Gupta, “UART Communication,” The IoT Hacker’s Handbook, pp. 59–80, 2019, doi: 10.1007/978-1-4842-4300-8_4.
[10] M. Burhan, R. A. Rehman, B. Khan, and B. S. Kim, “IoT elements, layered architectures and security issues: A comprehensive survey,” Sensors (Switzerland), vol. 18, no. 9, 2018, doi: 10.3390/s18092796.
[11] P. Aswale, A. Shukla, P. Bharati, S. Bharambe, and S. Palve, “An overview of internet of things: Architecture, protocols and challenges,” in Smart Innovation, Systems and Technologies, 2019, vol. 106. doi: 10.1007/978-981-13-1742-2_29.
[12] R. Mubashar, M. A. B. Siddique, A. U. Rehman, A. Asad, and A. Rasool, “Comparative performance analysis of short-range wireless protocols for wireless personal area network,” Iran Journal of Computer Science, vol. 4, no. 3, 2021, doi: 10.1007/s42044-021-00087-1.
[13] G. A. Naidu and J. Kumar, “Wireless Protocols: Wi-Fi SON, Bluetooth, ZigBee, Z-Wave, and Wi-Fi,” in Lecture Notes in Networks and Systems, vol. 65, 2019. doi: 10.1007/978-981-13-3765-9_24.
[14] G. Choudhary and A. K. Jain, “Internet of Things: A survey on architecture, technologies, protocols and challenges,” 2016. doi: 10.1109/ICRAIE.2016.7939537.
[15] L. Zhang, H. Yuan, S. H. Chang, and A. Lam, “Research on the overall architecture of Internet of Things middleware for intelligent industrial parks,” International Journal of Advanced Manufacturing Technology, vol. 107, no. 3–4, 2020, doi: 10.1007/s00170-019-04310-z.
[16] Z. Wang, W. Feng, J. Ye, J. Yang, and C. Liu, “A Study on Intelligent Manufacturing Industrial Internet for Injection Molding Industry Based on Digital Twin,” Complexity, vol. 2021, 2021, doi: 10.1155/2021/8838914.
[17] V. A. Q. Nguyen, “Study on realtime control system in IoT based smart factory: Interference awareness, architectural elements, and its application,” 7th International Conference on Information Science and Technology, ICIST 2017 - Proceedings, pp. 25–28, May 2017, doi: 10.1109/ICIST.2017.7926774.
[18] J. Mellado and F. Núñez, “Design of an IoT-PLC: A containerized programmable logical controller for the industry 4.0,” J Ind Inf Integr, vol. 25, p. 100250, Jan. 2022, doi: 10.1016/J.JII.2021.100250.
[19] Y. Lu, “Artificial intelligence: a survey on evolution, models, applications and future trends,” Journal of Management Analytics, vol. 6, no. 1. 2019. doi: 10.1080/23270012.2019.1570365.
[20] B. Huang, Y. Huan, L. Da Xu, L. Zheng, and Z. Zou, “Automated trading systems statistical and machine learning methods and hardware implementation: a survey,” Enterprise Information Systems, vol. 13, no. 1. 2019. doi: 10.1080/17517575.2018.1493145.
[21] C. Zhang and Y. Lu, “Study on artificial intelligence: The state of the art and future prospects,” J Ind Inf Integr, vol. 23, 2021, doi: 10.1016/j.jii.2021.100224.
[22] P. (PT) Tontiwachwuthikul, C. W. Chan, F. (Bill) Zeng, Z. (Henry) Liang, T. Sema, and C. Min, “Recent progress and new developments of applications of artificial intelligence (AI), knowledge-based systems (KBS), and Machine Learning (ML) in the petroleum industry,” Petroleum, vol. 6, no. 4, 2020, doi: 10.1016/j.petlm.2020.08.001.
[23] J. Moosavi, J. Bakhshi, and I. Martek, “The application of industry 4.0 technologies in pandemic management: Literature review and case study,” Healthcare Analytics, vol. 1, 2021, doi: 10.1016/j.health.2021.100008.
[24] F. Tao, Q. Qi, A. Liu, and A. Kusiak, “Data-driven smart manufacturing,” J Manuf Syst, vol. 48, 2018, doi: 10.1016/j.jmsy.2018.01.006.
[25] A. Angelopoulos et al., “Tackling faults in the industry 4.0 era—a survey of machine-learning solutions and key aspects,” Sensors (Switzerland), vol. 20, no. 1. 2020. doi: 10.3390/s20010109.
[26] D. Kimera and F. N. Nangolo, “Predictive maintenance for ballast pumps on ship repair yards via machine learning,” Transportation Engineering, vol. 2, 2020, doi: 10.1016/j.treng.2020.100020.
[27] S. J. Wu, N. Gebraeel, M. A. Lawley, and Y. Yih, “A neural network integrated decision support system for condition-based optimal predictive maintenance policy,” IEEE Transactions on Systems, Man, and Cybernetics Part A:Systems and Humans, vol. 37, no. 2, 2007, doi: 10.1109/TSMCA.2006.886368.
[28] K. A. Kaiser and N. Z. Gebraeel, “Predictive maintenance management using sensor-based degradation models,” IEEE Transactions on Systems, Man, and Cybernetics Part A:Systems and Humans, vol. 39, no. 4, 2009, doi: 10.1109/TSMCA.2009.2016429.
[29] V. P. Gupta, “Smart Sensors and Industrial IoT (IIoT): A Driver of the Growth of Industry 4.0,” in Internet of Things, 2021. doi: 10.1007/978-3-030-52624-5_3.
[30] G. Manoj Kumar, S. E. Gouthem, A. Srithar, and V. Surya Prakash, “IOT based water quality control and filteration system,” in Materials Today: Proceedings, 2020, vol. 46. doi: 10.1016/j.matpr.2020.12.978.
[31] D. Mourtzis, J. Angelopoulos, and N. Panopoulos, “Design and development of an IoT enabled platform for remote monitoring and predictive maintenance of industrial equipment,” in Procedia Manufacturing, 2020, vol. 54. doi: 10.1016/j.promfg.2021.07.025.
[32] K. P., “A Sensor based IoT Monitoring System for Electrical Devices using Blynk framework,” Journal of Electronics and Informatics, vol. 2, no. 3, 2020, doi: 10.36548/jei.2020.3.005.
[33] M. Elsisi, M. Q. Tran, K. Mahmoud, M. Lehtonen, and M. M. F. Darwish, “Deep learning-based industry 4.0 and internet of things towards effective energy management for smart buildings,” Sensors (Switzerland), vol. 21, no. 4, 2021, doi: 10.3390/s21041038.
[34] A. Karmakar, N. Dey, T. Baral, M. Chowdhury, and M. Rehan, “Industrial internet of things: A review,” 2019. doi: 10.1109/OPTRONIX.2019.8862436.
[35] T. Abbasi, K. H. Lim, and K. S. Yam, “Predictive Maintenance of Oil and Gas Equipment using Recurrent Neural Network,” in IOP Conference Series: Materials Science and Engineering, 2019, vol. 495, no. 1. doi: 10.1088/1757-899X/495/1/012067.
[36] A. Musthak, V. P. Mishra, and K. N. Mishra, “The New Phase of Manufacturing: Industry 4.0,” 2021. doi: 10.1007/978-981-15-9873-9_10.
[37] C. Garrido-Hidalgo, T. Olivares, F. J. Ramirez, and L. Roda-Sanchez, “An end-to-end Internet of Things solution for Reverse Supply Chain Management in Industry 4.0,” Comput Ind, vol. 112, 2019, doi: 10.1016/j.compind.2019.103127.
[38] G. J. Long, B. H. Lin, H. X. Cai, and G. Z. Nong, “Developing an artificial intelligence (AI) management system to improve product quality and production efficiency in furniture manufacture,” in Procedia Computer Science, 2020, vol. 166. doi: 10.1016/j.procs.2020.02.060.
[39] S. Hrehova, J. Husár, and L. Knapčíková, “Production Quality Control Using the Industry 4.0 Concept,” in Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST, 2021, vol. 382. doi: 10.1007/978-3-030-78459-1_14.
[40] A. Cachada et al., “Maintenance 4.0: Intelligent and Predictive Maintenance System Architecture,” in IEEE International Conference on Emerging Technologies and Factory Automation, ETFA, 2018, vol. 2018-September. doi: 10.1109/ETFA.2018.8502489.
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Published
2022-09-17
How to Cite
Hailan, M. A., Albaker, B. M., & Alwan, M. S. (2022). Two-Dimensional Transformation of a Conventional Manufacturer into a Smart Manufacturer: Architectonic Design, Maintenance Strategies and Applications. Al-Iraqia Journal for Scientific Engineering Research, 1(1), 77–87. https://doi.org/10.33193/IJSER.1.1.2022.39
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