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Kaizen in smart manufacturing (SM) projects: framework and examples of improvement areas

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EN
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EN
Purpose: The fourth industrial revolution has a strong influence on changes in enterprises towards smart manufacturing. Technological progress and digital economies created new conditions for business. Currently producers aiming at digitalization of processes and smart manufacturing based on key technologies (pillars) of Industry 4.0. In transformation process, the question arises, from what to start the changes and which path to choose to smart manufacturing (SM). Apart from big projects of SM, changes need the concept of Kaizen based on small steps of changes on workstations towards smart production. The purpose of the paper is the presentation of links between Smart Manufacturing (SM) projects and Kaizen. Design/methodology/approach: The paper was realized based on literature review and examples of SM projects. Findings: The study found that Kaizen is evolving with the automation and digitisation of production. IC technologies facilitate Kaizen improvements. The automation of production processes provides insight into historical data through process monitoring. Fully autonomous equipment is equipped with systems for transferring data to a central decision-making system. The machine operator's job is to collaborate with robots and control machine operation in real time using simple data visualisation and warning systems. Research limitations/implications: The work prepared is of a high degree of generality. Kaizen is implemented at workplaces and is concerned with practical improvements. These improvements are many, following the principle of small steps. The publication focuses on presenting the idea of Kaizen in SM projects. Practical implications: The paper can have an impact on the practical application of Kaizen in SM projects as it presents examples of Kaizen improvements. Originality/value The topic of adapting Kaizen to SM projects is a new area of research that will be strongly built upon due to the utility of Smart Kaizen.
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Tom
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281--299
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Bibliogr. 63 poz.
Bibliografia
  • 1. Abdullah, F. (2003). Lean manufacturing tools and techniques in the process industry. Dissertation. USA: University of Pittsburgh, School of Engineering.
  • 2. Aheleroff, S., Ross, P., Zhong, R., Y., Xu, X. (2019). The degree of mass personalization under Industry 4.0. Procedia CIRP, 81, 1394-1399. 52nd CIRP Conference on Manufacturing Systems.
  • 3. Bednarek, M. (2007). Doskonalenie systemów zarządzania: Nowa droga do przedsiębiorstwa Lean. Warszawa: Difin, p. 33.
  • 4. Beifert, A., Gerlitz, L., Prause, G. (2018). Industry 4.0 - For Sustainable Development of Lean Manufacturing Companies in the Shipbuilding Sector. Lecture Notes in Networks and Systems Reliability and Statistics in Transportation and Communication, 563-573. doi:10.1007/978-3-319-74454-4_54.
  • 5. Bertolini, M., Braglia, M., Romagnoli, G., Zammori, F. (2013). Extending value stream mapping: the synchro-MRP case. International Journal of Production Research, 51(18), 5499-5519.
  • 6. Bicheno, J., Holweg, M. (2016). The lean toolbox. A handbook for lean transformation.. Buckingham: PICSIE Books, p. 35.
  • 7. Castro, M., Jara, A.J., Skarmeta, A.F. (2012). An analysis of M2M platforms: challenges and opportunities for the Internet of Things. In Innovative Mobile and Internet Services in Ubiquitous Computing (IMIS). Sixth International Conference on IEEE, 757-762. Retrieved from: http://dx.doi.org/10.1109/IMIS.2012.184, 2022-05-20.
  • 8. Christopher, M., Towill, D.R. (2000). Supply Chain Migration from lean and functional to agile and customized. Supply Chain Management: An International Journal, 5(4), 206-213. Retrieved from: http://dx.doi.org/10.1108/13598540010347334.
  • 9. Drucker, P.F. (1992). Innowacje i przedsiębiorczość. Praktyka i zasady. Warszawa: PWE.
  • 10. Eagar, R., Oene, F., Boulton, Ch, Roos, D., Dekeyser, C. (2011). The Future ofInnovation Management: The Next 10 Year. Retrieved from: http://www.adl.com/uploads/tx_extprism/ Prism_0111_ innovation_ management_ 01.pdf, 15.01.2019.
  • 11. Gajdzik, B. (2022). Assessment of the level of maturity of steel enterprises for Industry 4.0 based on pilot research in the topic of transformation from steelworks 3.0 to steelworks 4.0 in Poland. J. Open Innov. Technol. Mark. Complex.
  • 12. Gajdzik, B. (2021). Operator maszyn i urządzeń w Przemyśle 4.0 - wprowadzenie do tematu. Gospodarka Materiałowa & Logistyka, 73(5), 2-7. doi:10.33226/1231-2037.2021.5.1.
  • 13. Gajdzik, B., Grabowska, S., Saniuk, S. (2021a). Key socio-economic megatrends and trends in the context of the Industry 4.0 framework. Forum Scientiae Oeconomia, 9(3), 5-21.
  • 14. Gajdzik, B., Grabowska, S., Saniuk, S. (2021b). A Theoretical Framework for Industry 4.0 and Its Implementation with Selected Practical Schedules. Energies, 14(4), art. no. 940, 1-24. Doi 10.3390/en14040940.
  • 15. Gajdzik, B., Kowal, E. (2020). Lean w przemyśle 4.0 - Lean Industry 4.0. In: R., Knosala (Ed.), Inżynieria zarządzania: Cyfryzacja produkcji. Aktualności badawcze (pp. 381-388), Warszawa: PWE.
  • 16. Gładysz, B., Buczacki, A. (2017). Wireless technologies for lean manufacturing -a literature review. DEStech Transactions on Engineering And Technology Research -International Congress on Production Research, pp. 7-12.
  • 17. Gładysz, B., Buczacki, A. (2019) Wireless technologies for lean manufacturing -a literature review. Management and Production Engineering Review, 9(4), 20-34.
  • 18. Gładysz, B., Grabia, M., Santarek, K. (2017). RIFD od koncepcji do wdrożenia. Polska perspektywa. Warszawa: PWN.
  • 19. Gładysz, B., Santarek, K. (2019). Technologie informatyczne w Lean Management. In: R. Knosala (Ed.), Inżynieria zarządzania. Cyfryzacja produkcji. Aktualności badawcze, 1, Warszawa: PWE, pp. 939-949.
  • 20. Heagney, J. (2012). Fundamentals of Project Management (4 edition). New York: American Management Association.
  • 21. Hermann, M., Pentek, T., Otto, B. (2005). Design Principles for Industrie 4.0 Scenarios. A literature review. Working Paper, 1. Dortmund: Technische Universität.
  • 22. Hobbs, D.P. (2004). Lean Manufacturing Implementation, pp. 1-5.
  • 23. IEC PAS 63088:2017. Smart Manufacturing - Reference architecture model Industry 4.0 (RAMI4.0). March 2017.
  • 24. Imai, M. (2006). Gemba Kaizen. Warszawa: MT Biznes, p. 49.
  • 25. ISO 22400-1:2014. Automation systems and integration - Key performance indicators (KPIs) for 719 manufacturing operations management. Part 1: Overview, concepts and terminology, October 2014.
  • 26. Kagermann, H., Wahlster, W., Helbig, J. (eds.) (April 2011). Recommendations for implementing the strategic initiative Industrie 4.0: Final report of the Industrie 4.0. Working Group: Industrie 4.0: Mit dem Internet der Dinge auf dem Weg zur 4. industriellen Revolution, VDI-Nachrichten, Acatech-National Academy of Science and Engineering: München, Germany. Retrieved from: http://forschungsunion.de/pdf/industrie_4_0_final_report.pdf.
  • 27. Kiraga, K. (2016). Przemysł 4.0: 4. rewolucja przemysłowa według Festo (Industry 4.0: 4¬th Industrial revolution by Festo). Logistyka. Autobusy, 12, 1603-1605.
  • 28. Kolberg, D., Zühlk, D. (2015). Lean Automation enabled by Industry 4.0 Technologies. Precedia IFAC 48-3, 1870-1875 (International Federation of Automatic Control). Elsevier. doi 10.1016/j.ifacol.2015.06.359, 20.05.2022.
  • 29. Kumagai, K., Fujishima, M., Yoneda, H., Chino, S., Ueda, S., Ito, A., Ono, T., Yoshida, H., Machida, H. (2017). KPI Element Information Model (KEI Model) for ISO 22400 using OPC UA, FDT, PLCopen and AutomationML. SICE Annual Conference, pp. 602-604.
  • 30. Kusiak, A. (2017). Smart manufacturing. International Journal of Production Research, 56, No. 1-2, 508-517. Retrieved from: https://doi.org/10.1080/00207543.2017.1351644, 20.11.2022.
  • 31. Lee, E.A. (2008). Cyber-physical systems: Design challenges, in Object Oriented Real¬Time Distributed Computing (ISORC). 11th IEEE International Symposium on IEEE, pp. 363-369.
  • 32. Lee, J. (2015). Smart Factory Systems. Informatik Spektrum, 38, 230-235.
  • 33. Lee, J., Bagheri, B., Kao, H.A. (2015). A Cyber-Physical Systems architecture for Industry 4.0-based manufacturing systems. Manuf. Lett., 3, 18-23.
  • 34. Logu, P., Arun Boopathi, M, Aravinth, R., Ganesh Kumar, S. (2021). Implementation of Lean Manufacturing In Automotive Industries. International Journal of Engineering Research & Technology (IJERT), 9(10). ETEDM - 2021 Conference Proceedings, pp. 68-73. Retrieved from: www.ijert.org.
  • 35. Lorenz, M., Rüßmann, M., Strack, R., Lueth, K.L., Bolle, M. (2015). Man and Machine in Industry 4.0: How Will Technology Transform the Industrial Workforce through 2025. Boston: Boston Consulting Group, MA, USA, Volume 2.
  • 36. Mitsubishi Electric: Metoda SMKL czyli wizja fabryki przyszłości a wdrażanie rozwiązań Przemysłu 4.0. Retrieved from: https://iautomatyka.pl/metody-smkl-czyli-wizja-fabryki- przyszlosci-a-wdrazanie-rozwiazan-przemyslu-4-0/, 12.09.2021.
  • 37. Mohan, T.R., Roselyn, J.P., Uthra, R.A. (2022). Digital Smart Kaizen To Improve Quality Rate Through Total Productive Maintenance Implemented Industry 4.0. IEEE, 3rd Global Conference for Advancement in Technology (GCAT). Bangalore, India 07-09 October 2022. doi 10.1109/GCAT55367.2022.9971890. Retrieved from: https://ieeexplore.ieee.org/ xpl/conhome/9971791/proceeding.
  • 38. Mrugalska, B., Wyrwicka, M.K. (2017). Towards Lean Production in Industry 4.0. Procedia Engineering, 182, pp. 466-473. 7th International Conference on Engineering, Project, and Production Management. Elsevier.
  • 39. Piasecka-Głuszak, A. (2017). Implementacja World Class Manufacturing w przedsiębiorstw. Ekonomia XXI Wieku (Economics of the 21st Century), 4(16), 52-65. doi10.15611/e21.2017.4.04.
  • 40. Powell, D., Romero, D., Gaiardelli, P., Cimini, Ch., Cavalieri, S. (2021). Towards Digital Lean Cyber-Physical Production Systems: Industry 4.0 Technologies as Enablers of Leaner Production.
  • 41. Report SLMP: Trendy KPI - LeanQ Team. Retrieved from: https://lean.info.pl. Raport-SLMP-Trendy-KPI, 20.05.2022.
  • 42. Riezebos, J., Klingenberg, W., Hicks, C. (2009). Lean production and information technology: Connection or contradiction? Computers in Industry, 60, 237-247.
  • 43. Romero, D., Bernus, P., Noran, O., Stahre, J., Fast-Berglund, Ä. (2016a). The operator 4.0: Human cyber-physical systems & adaptive automation towards human-automation symbiosis work systems. IFIP International Conference on Advances in Production Management Systems, London, UK: Springer, pp. 677-686.
  • 44. Romero, D., Stahre, J., Wuest, T., Noran, O., Bernus, P., Fast-Berglund, Ä., Gorecky D. (2016b). Towards an Operator 4.0 Typology: A Human-Centric Perspective on the Fourth Industrial Revolution Technologies. Proceedings of the International Conference on Computers and Industrial Engineering (CIE46) Proceedings, Tianjin, China, 29-31 October.
  • 45. Rother, M., Shook, J. (1999). Learning to see: value stream mapping to create value and eliminate muda. Brookline: Lean Enterprise Institute, p. 4.
  • 46. Ruppert, T., Jaskó, S., Holczinger, T., Abonyi, J. (2018). Enabling technologies for operator 4.0: A survey. Appl. Science, 8, 1650.
  • 47. Sanders, A., Elangeswaran, C., Wulfsberg, J. (2016). Industry 4.0 Implies Lean Manufacturing: Research Activities in Industry 4.0 Function as Enablers for Lean Manufacturing. Journal of Industrial Engineering and Management, 9(3), 811-833.
  • 48. Schwab, K. (2016). The Fourth Industrial Revolution. World Economic Forum, 11 January 2016.
  • 49. Schumpeter, J. (1934). The theory of economic development; An inquiry into profits, capital, credit, interest and the business cycle. Cambridge: Harvard University Press.
  • 50. Schumpeter, J. (1960). Teoria rozwoju gospodarczego. Warszawa: PWN.
  • 51. She, X., Baba, T., Osagawa, D., Fujishima, M., and T. Ito (2019). Maturity Assessment: A case study toward Sustainable Smart Manufacturing Implementation. International Conference on Smart Manufacturing, Industrial & Logistics Engineering & 2019 International Symposium on Semiconductor Manufacturing Intelligence (SMILE & ISMI 2019), Hangzhou, China, pp. 67-70.
  • 52. Soder, J. (2017). Von CIM über Lean Produktion zu Industrie 4.0. Handbuch Industrie 4.0, Band 1: Produktion. Bauernhansl, T, ten Hompel, B., Vogel-Heuser, B. (eds.). Wiesbaden: Springer.
  • 53. Sun, S., Zheng, X., Gong, B., García Paredes, J., Ordieres-Meré, J. (2021). Healthy Operator 4.0: A Human Cyber-Physical System Architecture for Smart Workplaces. Sensors MDPI, 20, 1-21. doi:10.3390/s20072011.
  • 54. Szozda, N. (2017). Industry 4.0 and its impact on the functioning of supply chains. LogForum, 13(4), 401-414. Retrieved form: http://dx.doi.org/10.17270/J.LOG.2017.4.2, 20.05.2022.
  • 55. Wagner, T., Herrmann, Ch., Thiede, S. (2017). Industry 4.0 impacts on lean production systems. 50-th CIRP Conference of manufacturing Systems, Precedia CIRP 63, Elsevier, pp.125-131. doi: 10.1016/j.procir.2017.02.041.
  • 56. Walentynowicz, P. (2013). Uwarunkowania skuteczności wdrażania Lean Management w przedsiębiorstwach produkcyjnych w Polsce. Gdańsk: Wydawnictwo Uniwersytetu Gdańskiego.
  • 57. Wang, B., Tao, F., Fang, X., Liu, C., Liu, Y., Freiheit, T. (2021). Smart Manufacturing and Intelligent Manufacturing: A Comparative Review. Engineering, 7, 738-757. Retrieved form: https://doi.org/10.1016/j.eng.2020.07.017.
  • 58. White Paper SMKL (Smart Manufacturing Kaizen Level) (2020). Approach to Smart Manufacturing, 4/1. IAF Shinbashi, Minato-ku, Tokyo, p. 6.
  • 59. Womack, J.P., Jones, D.T. (1994). From lean production to the lean enterprise. Harvard Business Review, 72, 93-103.
  • 60. Womack, J.P., Jones, D.T. (1996a). Beyond Toyota: How to root out waste and pursue perfection. Harvard Business Review, 74(5), 140-158.
  • 61. Womack, J.P., Jones, D.T. (1996b). Lean Thinking. New York: Simon & Schuster.
  • 62. Womack J.P., Jones, D.T. (1997). Lean thinking-banish waste and create wealth in your corporation. Journal of the Operational Research Society, 48(11), 1148.
  • 63. Womack, J.P., Jones, D.T. (2012). Lean Thinking — szczupłe myślenie. Eliminowanie marnotrawstwa i tworzenie wartości w przedsiębiorstwie. Wrocław: ProdPress.
Uwagi
Opracowanie rekordu ze środków MNiSW, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2024).
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Bibliografia
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