Journal of Enterprise and Business Intelligence


Theoretical and Technological Analysis of Smart Manufacturing Systems



Journal of Enterprise and Business Intelligence

Received On : 20 March 2023

Revised On : 15 May 2023

Accepted On : 10 Jul 2023

Published On : 05 January 2024

Volume 04, Issue 01

Pages : 012-021


Abstract


This study presents a comprehensive evaluation of the current status of smart manufacturing systems (SMS), with a specific emphasis on their theoretical significance in the context of technology management and technology development. The paper examines the theoretical underpinnings of development of technology through the lens of Rogers' Diffusion of Innovation (DoI) theory. Additionally, the paper employs Rieck and Dickson's Technology Strategy Model (TSM) to emphasize the importance of technology management. By incorporating the Management of Technology (MOT) theory, the paper aims to provide a comprehensive framework for understanding and shaping technology development. The integration of several technologies inside the SMS system has been the subject of discussion in relation to patenting. The features of Smart Manufacturing Systems (SMS) have been examined in order to analyze the comprehensive components of this emerging technological system. The suggested SMS model of the clothing manufacturing unit has been used to represent the global textile complex. This research incorporates recent scholarly publications and advancements in technology to provide a comprehensive understanding of future manufacturing system views. The objective is to minimize human involvement and enhance production efficiency within the manufacturing business. The primary components of the SMS have been identified as the cyber-physical system, artificial intelligence (AI), digital twin, enterprise resource planning, additive manufacturing, and big data.


Keywords


Smart Manufacturing Systems, Cyber-Physical Systems, Rogers Diffusion of Innovation, Rieck and Dickson's Technology Strategy Model.


  1. S. Jain and A. Narayanan, “Digital Twin–Enabled Machine Learning for Smart Manufacturing,” Smart and Sustainable Manufacturing Systems, vol. 7, no. 1, p. 20220035, Jul. 2023, doi: 10.1520/ssms20220035.
  2. V. Kharchenko, “A Digital Twin for the Logistics System of a Manufacturing Enterprise Using Industrial IoT,” Information & Security: An International Journal, vol. 47, no. 1, pp. 125–134, 2020, doi: 10.11610/isij.4708.
  3. J. Morgan, M. Halton, Y. Qiao, and J. G. Breslin, “Industry 4.0 smart reconfigurable manufacturing machines,” Journal of Manufacturing Systems, vol. 59, pp. 481–506, Apr. 2021, doi: 10.1016/j.jmsy.2021.03.001.
  4. A. M. Beausoleil, “Revisiting Rogers: the diffusion of his innovation development process as a normative framework for innovation managers, students and scholars,” Journal of Innovation Management, vol. 6, no. 4, pp. 73–97, Mar. 2019, doi: 10.24840/2183-0606_006.004_0006.
  5. F. F. Kharbat and A. S. Abu Daabes, “E-proctored exams during the COVID-19 pandemic: A close understanding,” Education and Information Technologies, vol. 26, no. 6, pp. 6589–6605, Feb. 2021, doi: 10.1007/s10639-021-10458-7.
  6. R. Baskerville and J. Pries-Heje, “A multiple-theory analysis of a diffusion of information technology case,” Information Systems Journal, vol. 11, no. 3, pp. 181–212, Jul. 2008, doi: 10.1111/j.1365-2575.2001.00106.x.
  7. G. Gokilakrishnan, D. Prabha, S. Srinivasan, S. Thirumurugaveerakumar, V. M, and A. H, “A Critical Analysis of the Block Chain in Manufacturing System Implementation,” 2023 9th International Conference on Advanced Computing and Communication Systems (ICACCS), Mar. 2023, doi: 10.1109/icaccs57279.2023.10112828.
  8. A. Tahriri and H. Divsar, “Male and Female EFL Learners’ Self-Perceived Strategy Use across Various Educational Levels: A Case Study,” English Language Teaching, vol. 4, no. 4, Nov. 2011, doi: 10.5539/elt.v4n4p181.
  9. B. Lundvall, “National Innovation Systems—Analytical Concept and Development Tool,” Industry & Innovation, vol. 14, no. 1, pp. 95–119, Feb. 2007, doi: 10.1080/13662710601130863.
  10. E. S. Holmboe and P. Batalden, “Achieving the Desired Transformation,” Academic Medicine, vol. 90, no. 9, pp. 1215–1223, Sep. 2015, doi: 10.1097/acm.0000000000000779.
  11. S. K. Gates, “Pretrial diversion agreements after Andersen’s prosecution: a utilitarian theoretical framework,” Journal of Financial Crime, Oct. 2022, Published, doi: 10.1108/jfc-08-2022-0203.
  12. I. Kovalenko, M. Saez, K. Barton, and D. Tilbury, “SMART: A System-Level Manufacturing and Automation Research Testbed,” Smart and Sustainable Manufacturing Systems, vol. 1, no. 1, p. 20170006, Oct. 2017, doi: 10.1520/ssms20170006.
  13. S. Dong and L. Qi, “Model Analysis and Simulation of Equipment-Manufacturing Value Chain Integration Process,” Complexity, vol. 2020, pp. 1–10, Nov. 2020, doi: 10.1155/2020/6620679.
  14. S. Roffeh, “Social and legal aspects on the topic of virtual rape,” Legal Novels, vol. 9, pp. 120–130, 2019, doi: 10.32847/ln.2019.9.16.
  15. M. Hedelind and M. Jackson, “How to improve the use of industrial robots in lean manufacturing systems,” Journal of Manufacturing Technology Management, vol. 22, no. 7, pp. 891–905, Sep. 2011, doi: 10.1108/17410381111160951.
  16. Y. Lu, P. Witherell, and A. Jones, “Standard connections for IIoT empowered smart manufacturing,” Manufacturing Letters, vol. 26, pp. 17–20, Oct. 2020, doi: 10.1016/j.mfglet.2020.08.006.
  17. E. Yalcinkaya, A. Maffei, H. Akillioglu, and M. Onori, “Empowering ISA95 compliant traditional and smart manufacturing systems with the blockchain technology,” Manufacturing Review, vol. 8, p. 15, 2021, doi: 10.1051/mfreview/2021013.
  18. G. Hofbauer, A. Sangl, and S. Engelhardt, “The Digital Transformation of the Product Management Process: Conception of Digital Twin Impacts for the Different Stages,” INTERNATIONAL JOURNAL OF INNOVATION AND ECONOMIC DEVELOPMENT, vol. 5, no. 2, pp. 74–86, 2019, doi: 10.18775/ijied.1849-7551-7020.2015.52.2006.
  19. I. Bhattacharya, J. Toombs, and H. Taylor, “High fidelity volumetric additive manufacturing,” Additive Manufacturing, vol. 47, p. 102299, Nov. 2021, doi: 10.1016/j.addma.2021.102299.
  20. E. J. Mcmanus and L. J. Scianna, “Configuration sets new technique for use in configuration management,” IEEE Transactions on Engineering Management, vol. EM-15, no. 4, pp. 193–197, 1968, doi: 10.1109/tem.1968.6447031.
  21. J. S. Johnson, S. B. Friend, and H. S. Lee, “Big Data Facilitation, Utilization, and Monetization: Exploring the 3Vs in a New Product Development Process,” Journal of Product Innovation Management, vol. 34, no. 5, pp. 640–658, Jun. 2017, doi: 10.1111/jpim.12397.

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Cite this article


Anandakumar Haldorai and Arulmurugan Ramu, “Theoretical and Technological Analysis of Smart Manufacturing Systems”, Journal of Enterprise and Business Intelligence, vol.4, no.1, pp. 012-021, January 2024. doi: 10.53759/5181/JEBI202404002.


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© 2024 Anandakumar Haldorai and Arulmurugan Ramu. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.