In the face of a tumultuous economic landscape and the swift progress of technology, businesses find themselves compelled to reshape their economic strategies in response to the challenges posed by intense global competition. Numerous scholars have delved into the realm of manufacturing systems and its array of tools. This study conducts a thorough examination of the transition from Group Technology to Dynamic Cellular Manufacturing System and offers insights into the future of manufacturing systems, particularly the application of industry 4.0 in asset management.
Bartodziej, C. J., & Bartodziej, C. J. (2017). The Concept Industry 4.0 (pp. 27-50). Springer Fachmedien Wiesbaden. https://doi.org/10.1007/978-3-658-16502-4_3
Bi, Z. M., Lang, S. Y., Shen, W., & Wang, L. (2008). Reconfigurable Manufacturing Systems: The State of the Art. International Journal of Production Research, 46, 967-992. https://doi.org/10.1080/00207540600905646
Blanchet, M., & Bergerried, R. (2014). Industrie 4.0—Les leviers de la transformation. Gimélec.
Boston-Consulting-Group (2020). Putting Industry4.0 to Work. https://www.bcg.com/fr-ca/capabilities/operations/embracing-industry-4.0-rediscovering-growth
Browne, J. J., Dubois, D., Rathmill, K., Sethi, S., & Stecke, K. (1984). Classification of Flexible Manufacturing Systems. The FMS Magazine, 2, 114-117.
Buzacott, J. (1982). Optimal Operating Rules for Automated Manufacturing Systems. IEEE Transactions on Automatic Control, 27, 80-86. https://doi.org/10.1109/TAC.1982.1102820
Buzacott, J. A. (1967). Automatic Transfer Lines with Buffer Stocks. International Journal of Production Research, 5, 183-200. https://doi.org/10.1080/00207546708929751
Chan, F. T. (2001). The Effects of Routing Flexibility on a Flexible Manufacturing System. International Journal of Computer Integrated Manufacturing, 14, 431-445. https://doi.org/10.1080/09591120010021793
Chung, D. W., & Koo, B. H. (1991). Effects of Human Error on the Optimal Test Internal and Unavailability of the Safety System. Nuclear Engineering and Technology, 23, 174-182.
Diop, I., Abdul-Nour, G., & Komljenovic, D. (2021). Overview of Strategic Approach to Asset Management and Decision-Making. International Journal of Engineering Research & Technology, 10, 64-89.
Diop, I., Nadeau, S., & Emami-Mehrgani, B. (2019). A Mathematical Model: A Flexible Manufacturing System, Prone to Error, Making Two Products Each with Stochastic Demand Schedules. American Journal of Industrial and Business Management, 9, 139-168. https://doi.org/10.4236/ajibm.2019.91011
Duguay, C. R., Landry, S., & Pasin, F. (1997). From Mass Production to Flexible/Agile Production. International Journal of Operations & Production Management, 17, 1183-1195. https://doi.org/10.1108/01443579710182936
Erboz, G. (2017). How to Define Industry 4.0: Main Pillars of Industry 4.0. Managerial Trends in the Development of Enterprises in Globalization Era (pp. 761-767). Faculty of Economics and Social Sciences, Business and Management.
European-Asset-Management-Committee (2017). Vers l’usine du futur—White Paper. EFICIO, l’efficience des CIO et l’efficacité des processus transformés. https://www.eficio.ca/wp-content/uploads/2019/11/Vers-lusine-du-futur.pdf
Gamache, S., Abdul-Nour, G., & Baril, C. (2020). Evaluation of the Influence Parameters of Industry 4.0 and Their Impact on the Quebec Manufacturing SMEs: The First Findings. Cogent Engineering, 7, Article 1771818. https://doi.org/10.1080/23311916.2020.1771818
Gershwin, S. B. (2002). Manufacturing Systems Engineering. Stanley B. Gershwin.
Gershwin, S. B. (2018). The Future of Manufacturing Systems Engineering. International Journal of Production Research, 56, 224-237. https://doi.org/10.1080/00207543.2017.1395491
Groover, M. P. (2020). Fundamentals of Modern Manufacturing: Materials, Processes, and Systems. John Wiley & Sons.
Haug, K. C., Kretschmer, T., & Strobel, T. (2016). Cloud Adaptiveness within Industry Sectors—Measurement and Observations. Telecommunications Policy, 40, 291-306. https://doi.org/10.1016/j.telpol.2015.08.003
ITU-T-Y.4000 (2016). Overview of the Internet of Things. The International Telecommunication Union (ITU).
Kagermann, H., Lukas, W. D., & Wahlster, W. (2011). Industrie 4.0: Mit dem Internet der Dinge auf dem Weg zur 4. industriellen Revolution. VDI Nachrichten, 13, 2-3.
Khaitan, S. K., & McCalley, J. D. (2014). Design Techniques and Applications of Cyberphysical Systems: A Survey. IEEE Systems Journal, 9, 350-365. https://doi.org/10.1109/JSYST.2014.2322503
Koch, V., Kuge, S., Geissbauer, R., & Schrauf, S. (2014). Industry 4.0: Opportunities and Challenges of the Industrial Internet (pp. 5-50). Strategy & PwC.
Koo, P. H. (1996). Flow Planning and Control of Single-Stage Multimachine Systems. Doctoral Dissertation, Purdue University.
KPMG (2018). Adoption of Intelligent Automation Does Not Equal Success. Pulse Survey Report, KPMG International Limited.
Lu, Y. (2017). Industry 4.0: A Survey on Technologies, Applications and Open Research Issues. Journal of Industrial Information Integration, 6, 1-10. https://doi.org/10.1016/j.jii.2017.04.005
Mehrabi, M. G., Ulsoy, A. G., & Koren, Y. (2000). Reconfigurable Manufacturing Systems: Key to Future Manufacturing. Journal of Intelligent Manufacturing, 11, 403-419. https://doi.org/10.1023/A:1008930403506
Mell, P., & Grance, T. (2011). The NIST Definition of Cloud Computing. The National Institute of Standards and Technology. https://doi.org/10.6028/NIST.SP.800-145
Molina, A., Rodriguez, C. A., Ahuett, H., Cortés, J. A., Ramírez, M., Jiménez, G., & Martinez, S. (2005). Next-Generation Manufacturing Systems: Key Research Issues in Developing and Integrating Reconfigurable and Intelligent Machines. International Journal of Computer Integrated Manufacturing, 18, 525-536. https://doi.org/10.1080/09511920500069622
Montazerolghaem, A., Yaghmaee, M. H., & Leon-Garcia, A. (2020). Green Cloud Multimedia Networking: NFV/SDN Based Energy-Efficient Resource Allocation. IEEE Transactions on Green Communications and Networking, 4, 873-889. https://doi.org/10.1109/TGCN.2020.2982821
Québec (2016). Feuille de route Industrie 4.0.
Raj, T., Shankar, R., & Suhaib, M. (2008). An ISM Approach for Modelling the Enablers of Flexible Manufacturing System: The Case for India. International Journal of Production Research, 46, 6883-6912. https://doi.org/10.1080/00207540701429926
Rouse, M. (2020). Internet of Things (IoT). https://internetofthingsagenda.techtarget.com/definition/Internet-of-Things-IoT
Sethi, A. K., & Sethi, S. P. (1990). Flexibility in Manufacturing: A Survey. International Journal of Flexible Manufacturing Systems, 2, 289-328. https://doi.org/10.1007/BF00186471
Shafiq, S. I., Sanin, C., Toro, C., & Szczerbicki, E. (2015). Virtual Engineering Object (VEO): Toward Experience-Based Design and Manufacturing for Industry 4.0. Cybernetics and Systems, 46, 35-50. https://doi.org/10.1080/01969722.2015.1007734
Stecke, K. E. (1983). Formulation and Solution of Nonlinear Integer Production Planning Problems for Flexible Manufacturing Systems. Management Science, 29, 273-288. https://doi.org/10.1287/mnsc.29.3.273
Strang, D., Galaske, N., & Anderl, R. (2016). Dynamic, Adaptive Worker Allocation for the Integration of Human Factors in Cyber-Physical Production Systems. In Advances in Ergonomics of Manufacturing: Managing the Enterprise of the Future: Proceedings of the AHFE 2016 International Conference on Human Aspects of Advanced Manufacturing (pp. 517-529). Springer International Publishing. https://doi.org/10.1007/978-3-319-41697-7_45
Tompkins, J. A., White, J. A., Bozer, Y. A., & Tanchoco, J. M. A. (2010). Facilities Planning. John Wiley & Sons.
Wang, K. (2016). Intelligent Predictive Maintenance (IPdM) System—Industry 4.0 Scenario. WIT Transactions on Engineering Sciences, 113, 259-268.
Wang, S., Wan, J., Zhang, D., Li, D., & Zhang, C. (2016). Towards Smart Factory for Industry 4.0: A Self-Organized Multi-Agent System with Big Data-Based Feedback and Coordination. Computer Networks, 101, 158-168. https://doi.org/10.1016/j.comnet.2015.12.017