PL EN


Preferencje help
Widoczny [Schowaj] Abstrakt
Liczba wyników
Tytuł artykułu

Challenges and barriers to connecting World Class Manufacturing and continuous improvement processes to Industry 4.0 paradigms

Treść / Zawartość
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
This paper exposes the difficulties in integrating “Industry 4.0 Practices” and “World- Class Manufacturing” due to the rapid expansion of production systems and the increasingly complex data monitoring. The applied methodology was to study multiple cases with the aid of a semi-structured questionnaire. The analysis comprised responses of 15 large companies with different expertise from five countries and three continents. The results show that when a company’s strategy is linked to Industry 4.0 practices and the World-Class Manufacturing method, they boost productivity by monitoring the shop floor, applying analytical tools, and spreading the organisational culture aimed at improving processes. The results also indicate that human resources are essential in this integration. The conclusion indicates robust barriers to the increasing progress of these procedures, such as the costs associated with the use of technologies, the lack of knowledge of the applied methods and tools, the lack of trained and qualified human resources, and the resistance of people to the use and application of the newly adopted practices. The continuous improvement practices do not keep up with the speed of development that the Industry 4.0 practices propose, requiring studies directed to “World-Class Manufacturing” and “Industry 4.0 practices”. Although there is a coexistence of improvement and innovation in world-class manufacturers, the literature has not yet provided a complete understanding of how this coexistence can be achieved at the manufacturing level. Therefore, the paper presents the main actions to overcome these barriers.
Rocznik
Strony
115--130
Opis fizyczny
Bibliogr. 36 poz., tab., wykr.
Twórcy
  • Escola Politécnica da Universidade de São Paulo, Brazil
  • Escola Politécnica da Universidade de São Paulo, Brazil
  • Escola Politécnica da Universidade de São Paulo, Brazil
Bibliografia
  • Arms, A.L., Heath, S.F., Rañada, M.F., & Rink, R.M. (1994). Customer-focused manufacturing in the switching systems business unit. AT&T Technical Journal, 73, 62-70.
  • Buer, S.-V., Strandhagen, J. O., & Chan, F. T. S. (2018). The link between Industry 4.0 and lean manufacturing: mapping current research and establishing a research agenda. International Journal of Production Research, 56(8), 2924-2940. doi: 10.1080/00207543.2018.1442945
  • Dalenogare, L. S., Benitez, G. B., Ayala, N. F., & Frank, A. G. (2018). The expected contribution of Industry 4.0 technologies for industrial performance. International Journal of Production Economics, 204, 383-394. doi: 10.1016/j.ijpe.2018.08.019
  • Davies, R., Coole, T., & Smith, A. (2017). Review of socio-technical considerations to ensure successful implementation of Industry 4.0. Procedia Manufacturing, 11, 1288-1295. doi: 10.1016/j.promfg.2017.07.256
  • Dubey, R., Gunasekaran, A., Childe, S. J., Wamba, S. F., & Papadopoulos, T. (2016). The impact of big data on world-class sustainable manufacturing. The International Journal of Advanced Manufacturing Technology, 84, 631-645. doi: 10.1007/s00170-015-7674-1
  • Fettermann, D. D., Cavalcante, C. G., Almeida, T. D., & Tortorella, G. L. (2018). How does Industry 4.0 contribute to operations management? Journal of Industrial and Production Engineering, 35, 255-268. doi: 10.1080/21681015.2018.1462863
  • Furlan, A., & Vinelli, A. (2018). Unpacking the coexistence between improvement and innovation in worldclass manufacturing: A dynamic capability approach. Technological Forecasting & Social Change, 133, 168- 178. doi: 10.1016/j.techfore.2018.03.022
  • Gajdzik, B., Grabowska, S., & Saniuk, S. (2021). Key socio-economic megatrends and trends in the context of the Industry 4.0 framework. Forum Scientiae Oeconomia, 9(3), 5-22. doi: 10.23762/FSO_VOL9_NO3_1
  • Ghobakhloo, M. (2018). The future of manufacturing industry: a strategic roadmap toward Industry 4.0. Journal of Manufacturing Technology Management, 29(6), 910-936. doi: 10.1108/JMTM-02-2018-0057
  • Hamersly, B., & Land, D. (2015). Building Productivity in Virtual Project Teams. Revista de Gestão e Projetos, 6(1), 1-13. doi: 10.5585/gep
  • Kamble, S. S., Gunasekaran, A., & Gawankar, S. A. (2018). Sustainable Industry 4.0 framework: A systematic literature review identifying the current trends and future perspectives. Process Safety and Environmental Protection, 117, 408-425. doi: 10.1016/j.psep.2018.05.009
  • Kazancoglu, Y., & Ozkan-ozen, Y. D. (2018). Analyzing Workforce 4.0 in the Fourth Industrial Revolution and proposing a road map from operations management perspective with fuzzy DEMATEL. Journal of Enterprise Information Management, 31(6), 891-907. doi: 10.1108/JEIM-01-2017-0015
  • Khan, Z., Bali, R. K., & Wickramasinghe, N. (2007). Developing a BPI framework and PAM for SMEs. Industrial Management & Data Systems, 107(3), 345-360. doi: 10.1108/02635570710734262
  • Kohnová, L., Papula, J., & Salajová, N. (2019). Internal factors supporting business and technological transformation in the context of Industry 4.0. Business: Theory and Practice, 20, 137-145. doi: 10.3846/btp.2019.13
  • Kolberg, D., Knobloch, J., & Zühlke, D. (2017). Towards a lean automation interface for workstations. International Journal of Production Research, 55(10), 2845-2856. doi: 10.1080/00207543.2016.1223384
  • Lotfi, M., & Saghiri, S. (2018). Disentangling resilience, agility and leanness: Conceptual development and empirical analysis. Journal of Manufacturing Technology Management, 29(1), 168-197. doi: 10.1108/JMTM-01-2017-0014
  • Luthra, S., & Mangla, S. K. (2018). Evaluating challenges to Industry 4.0 initiatives for supply chain sustainability in emerging economies. Process Safety and Environmental Protection, 117, 168-179. doi: 10.1016/j.psep.2018.04.018
  • Malavasi, M., & Schenetti, G. (2017). Lean Manufacturing and Industry 4.0: an empirical analysis between Sustaining and Disruptive Change. Politecnico di Milano.
  • Mróz, A. (2018). About some aspects of advanced manufacturing engineering department in wcm-oriented production plants. Management and Production Engineering Review, 9(4), 76-85. doi: 10.24425/119548
  • Mrugalska, B., & Wyrwicka, M. K. (2017). Towards Lean Production in Industry 4.0. Procedia Engineering, 182, 466-473. doi: 10.1016/j.proeng.2017.03.135
  • Nagaprasad, H., & Yogesha, B. (2008). Making World Class Product Through Quality Process Management. Proceedings of the World Congress on Engineering and Computer Science, 22-25.
  • de Oliveira, P. S. G., da Silva, D., da. Silva, L. F., Tecilla, M. C., & Lopes, M. d. S. (2016). Proposition factor model of world class manufacturing in Brazilian enterprises. Independent journal of Management & Production, 7(2), 488-502. doi: 10.14807/ijmpv7i2.336
  • Paranitharan, K. P., Ramesh Babu, T., Pal Pandi, A., & Jeyathilagar, D. (2017). An empirical validation of integrated manufacturing business excellence model. International Journal of Advanced Manufacturing Technology, 92, 2569-2591. doi: 10.1007/s00170-017-0271-8
  • Rossini, M., Costa, F., Tortorella, G. L., & Portioli-Staudacher A. (2019). The interrelation between Industry 4.0 and lean production: an empirical study on European manufacturers. The International Journal of Advanced Manufacturing Technology, 102, 3963-3976. doi: 10.1007/s00170-019-03441-7
  • Sangwa, N. R., & Sangwan, K. S. (2018). Development of an integrated performance measurement framework for lean companies. Journal of Manufacturing Technology Management, 29(1), 41-84. doi: 10.1108/JMTM-06-2017-0098
  • Sartal, A., & Vázquez, X. H. (2017). Implementing Information Technologies and Operational Excellence: Planning, emergence and randomness in the survival of adaptive manufacturing systems. Journal of Manufacturing Systems, 45, 1-16. doi: http://dx.doi.org/10.1016/j.jmsy.2017.07.007
  • Sartal, A., Llach, J., Vázquez, H. X., & de Castro, R. (2017). How much does Lean Manufacturing need environmental and information technologies? Journal of Manufacturing Systems, 45, 260-272. doi: 10.1016/j.jmsy.2017.10.005
  • Satolo, E. G., Leite, C., Calado, R. D., Goes, G. A., & Salgado, D. D. (2018). Ranking lean tools for world class reach through grey relational analysis. Grey Systems: Theory and Application, 8(4), 399-423. doi: 10.1108/GS-06-2018-0031
  • Schallock, B., Rybski, C., Jochem, R., & Kohl, H. (2018). Learning Factory for Industry 4.0 to provide future skills beyond technical training. Procedia Manufacturing, 23, 27-32. doi: 10.1016/j.promfg.2018.03.156
  • Sony, M. (2018). Industry 4.0 and lean management: a proposed integration model and research propositions. Production & Manufacturing Research, 6(1), 416-432. doi: 10.1080/21693277.2018.1540949
  • de Sousa Jabbour, A. B. L., Jabbour, Ch. J. Ch., Foropon, C., & Godinho Filho, M. (2018). When titans meet – Can industry 4.0 revolutionise the environmentallysustainable manufacturing wave? The role of critical success factors. Technological Forecasting & Social Change, 132, 18-25. doi: http://doi.org/10.1016/j.techfore.2018.01.017
  • Synnes, E. L., & Welo, T. (2016). Enhancing Integrative Capabilities through Lean Product and Process Development. Procedia CIRP, 221-226. doi: 10.1016/j.procir.2016.05.090
  • Terziyan, V., Gryshko, S., & Golovianko, M. (2018). Patented intelligence: Cloning human decision models for Industry 4.0. Journal of Manufacturing Systems, 48, 204-217. doi: 10.1016/j.jmsy.2018.04.019
  • Tiep, N. C.,Oanh, T. T. K.,Thuan, T. D., Tien, D. V., & Ha, T. V. (2020). Industry 4.0, lean management and organizational support: a case of supply chain operations. Polish Journal of Management Studies, 22(1), 583-594. doi: 10.17512/pjms.2020.22.1.37
  • Villalba-Diez, J., Ordieres-Meré, J., Molina, M., Rossner, M., & Lay, M. (2018). Lean Dendrochronology: Complexity Reduction by Representation of KPI Dynamics Looking at Strategic Organizational Design. Management and Production Engineering Review, 9(4), 3-9. doi: 10.24425/119541
  • Yin, R. K. (2017). Case Study Research: Design and Methods. 6th edn. Los Angeles: Sage.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-ec1de419-bb25-4c17-a2aa-383af1e7e76e
JavaScript jest wyłączony w Twojej przeglądarce internetowej. Włącz go, a następnie odśwież stronę, aby móc w pełni z niej korzystać.