Industry 5.0 Readiness Assessment: A Maturity Model For Indonesian Companies
As times have evolved, there have been significant advancements in various fields, particularly in technology and industry. Rapid progress in the industrial sector has been marked by the phases of the revolution that started from Industry 1.0 to the latest Industry 5.0 which had been introduced in 2019. However not every company is ready to adapt industry 5.0 into their system and behaviors. There is still lack of matrix development to assess company maturity level in industry 5.0. In this paper, three development matrix is developed so it is easier to assess company maturity level from industry 5.0 perspective. The quantitative data is collected by giving questionnaires to several sectors. From the analysis that has been conducted, it is concluded that automotives industry it the most ready sector to adapt with industry 5.0.
Adel, A. (2022). Future of industry 5.0 in society: human-centric solutions, challenges and prospective research areas. Journal of Cloud Computing volume.
Aditya Akundi, D. E. (2022). State of Industry 5.0—Analysis and Identification of Current. applied system innovation, 5, 27.
Aries Kurniawan, B. D. (2019). PREPARATION AND CHALLENGES OF INDUSTRY 5.0 FOR SMALL AND MEDIUM ENTERPRISES IN INDONESIA. Economics and Business, 2, 155-160.
Blanchard, O., & Perotti, R. (2002). An empirical characterization of the dynamic effects of changes in government spending and taxes on output. The Quarterly Journal of Economics, 117(4), 1329-1368.
Borio, C., Furfine, C., & Lowe, P. (2011). Procyclicality of the financial system and financial stability: issues and policy options. BIS Papers, (1), 1-57.
Breque, M. D. (2021). Industry 5.0: towards a sustainable, human-centric and resilient European industry. LU: European Commission, Directorate-General for Research and Innovation.
Breque, M., De Nul, L., & Petridis, A. (2021). Industry 5.0: Towards a sustainable, humancentric and resilient European industry. European Comission.
Duggal, A. S.‐A. (2022). A sequential roadmap to Industry 6.0:. IET Communications, 16(5), 521-531.
Erik Skov Madsen, A. B. (2016). Industry 4.0 and digitalization call for vocational skills, applied industrial engineering, and less for pure academics. 5th World Conference on Production and Operations Management. Cuba.
Franziska Hein-Pensel, H. W.-W. (2023). Maturity assessment for Industry 5.0: A review of existing maturity models. Journal of Manufacturing Systems, 200-210.
Friedman, M. (1968). The Role of Monetary Policy. The American Economic Review, 58(1).
G. Culot, G. N. (2020). Behind the definition of Industry 4.0: analysis and open question. International Journal of Production Economics, 226.
John Burgess, K. D. (2020). The challenges of human resource development in Indonesia. In Developing the Workforce in an Emerging Economy (p. 17). Taylor & Francis Group.
K. Vinitha, R. A. (2020). Review on industrial mathematics and materials at Industry 1.0 to Industry. Materials Today: Proceeding, 33, 3956-3960.
Kementrian Perindustrian Republik Indonesia. (2018). Indonesia Industry 4.0 Readiness Index. Indonesia: Kementrian Perindustrian Republik Indonesia.
Keynes, J. (1936). The General Theory of Employment, Interest and Money. Palgrave Macmillan.
Kiss, A. A. (2022). Industry 4.0 as a Challenge for the Skills and Competencies of. Sci, 4, 34.
Longo, F. N. (2017). Smart operators in industry 4.0: A human-centered approach to enhance operators. Computers & industrial engineering, 113, 144-159.
Made Krisna Dinata, N. A. (n.d.). ALTERNATING SITTING-STANDING POSTURE DECREASE FATIGUE, MUSCULOSKELETAL COMPLAINT AND INCREASE PRODUCTIVITY OF IRONING WOMEN WORKER IN HOUSEHOLD. Denpasar: Program Studi Ergonomi-Fisiologi Kerja, Program Pascasarjana Udayana University.
Malte Brettel, N. F. (2014). How Virtualization, Decentralization and Network. International Journal of Mechanical, Aerospace, Industrial, Mechatronic and Manufacturing Engineering, 8 (1), 37-44.
Mariia Golovianko, V. T. (2023). Industry 4.0 vs. Industry 5.0: Co-existence, Transition, or a Hybrid. Procedia Computer Science, 217, 102-113.
Nahavandi, S. (2019). Industry 5.0 - A Human-Centric Solution. Sustainability, 11, 4371. Retrieved from https://doi.org/10.3390/su11164371
Nicoletti, L. a. (2022). New perspectives and results for Smart Operators in industry 4.0: A human-centered. Computers & Industrial Engineering, 163.
Ondrej Bastan, T. B. (2018). Resiliency, the Path to Safety II. IFAC (International Federation of Automatic Control) Hosting by Elsevier, 468-472.
Oztemel, E. a. (2020). Literature review of Industry 4.0 and related technologies. Journal of Intelligent Manufacturing, 31, 127-182.
Praveen Kumar Reddy Maddikunta, Q.-V. P. (2022). Industry 5.0: A survey on enabling technologies and potential applications. Journal of Industrial Information Integration, 26.
Rada, M. (2015, December 1). Industry 5.0-from Virtual to Physical. Retrieved April 2, 2023, from LinkedIn: https://www.linkedin.com/pulse/industry-50-from-virtual-physical-michael-rada/
Rahul Sindhwani a, S. A. (2022). Can industry 5.0 revolutionize the wave of resilience and social value creation? A multi-criteria framework to analyse enablers. Technology in Society, 68.
Romero, D. a. (2021). Towards the resilient operator 5.0: the future of work in smart resilient manufacturing systems. Procedia, 104, 1089-1094.
Rüsch, E. H. (2017). Industry 4.0 and the current status as well as future prospects on logistics. Computers in Industry, 89, 23-34.
Sasana, H. (2016). Economic Growth of Indonesia: Analysis of Manufacturing Sector. International Journal of Economics, Commerce and Management (IJECM).
Schumacher, A., Nemeth, T., & Sihn, W. (2018). Roadmapping towards industrial digitalization based on an Industry 4.0. 12th CIRP Conference on Intelligent Computation in Manufacturing Engineering, 18-20 July 2018,, 1-6.
Silalahi, A. (2021). Indonesia and the Transition of 4.0 to 5.0 Industrial: Does Business Adaptable to the Future Changes? doi:10.13140/RG.2.2.17359.41123
Stahre, D. R. (2021). Towards the Resilient Operator 5.0: The Future of Work in Smart Resilient Manufacturing System. 54th CIRP Conference on Manufacturing Systems, 1089-1094.
Tao, F., Cheng, Y., Xu, L., Zhang, L., Li, B., & Hu, L. (2019). CCIoT-CMfg: A cloud computing and IoT-based framework for cyber-physical systems in manufacturing. Journal of Industrial Information Integration, 13, 49-57.
Vogt, J. (2021). Where is the human got to go? Artificial intelligence, machine learning, big data, digitalisation, and human–robot interaction. AI & Society, 36, 1083-1087.
Wang, L., Törngren, M., & Onori, M. (2015). Current status and advancement of cyber-physical systems in manufacturing. Journal of Manufacturing Systems, 37, 517-527.
Wang, W., & Wang, Y. (2021). Artificial intelligence in manufacturing industry 5.0: A review of recent advances and future trends. ngineering Applications of Artificial Intelligence, 104, 104194.
Weller, C., Kleer, R., & Piller, F. (2015). Economic implications of 3D printing: Market structure models in light of additive manufacturing revisited. International Journal of Production Economics, 164, 43-56.
Yao Hu, J. L. (2008). Towards modeling of resilience dynamics in manufacturing enterprises: Literature review and problem formulation. 2008 IEEE International Conference on Automation Science and Engineering.
Yu, S. P. (2017). On the way from Industry 4.0 to Industry 5.0: from digital manufacturing to digital society. International Scientific Journals, 2, 307-311.
Zizic, M. C., Mladineo, M., Gjeldum, N., & Celent, L. (2022). From Industry 4.0 towards Industry 5.0: A Review and Analysis of Paradigm Shift for the People, Organization and Technology. Energies 2022, 1-21.
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