Abstract
Lean Production Systems are enterprise-specific, methodical frameworks for the continuous orientation of all enterprise processes to the customer in order to achieve overall objectives. Due to the increasing complexity of digital transformation, the management of methods in Lean Production Systems 4.0 (LPS 4.0) is a challenging task for industrial engineering practice. Starting with a set of 35 Lean methods, this paper aim to review the existing literature regarding digitally-advanced LPS 4.0 methods. Academic contributions were analyzed in a systematic literature review (SLR). The SLR screening of 706 scientific papers led to the identification of 54 approaches for LPS 4.0 methods. All 54 approaches were assessed regarding their maturity level for detailed documentation. As a result, 18 LPS 4.0 methods are described in a uniform standardized LPS 4.0 method template. The new LPS 4.0 methods are highly relevant for practical application in industrial engineering practice, which has already been tested in a first implementation of methods in an industrial engineering toolbox (Toolbox Lean 4.0).
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References
VDI : Lean Production Systems: Basic Principles, Introduction, and Review (2870 Part 1) (2012)
Dombrowski, U., Richter, T., Krenkel, P.: Interdependencies of industrie 4.0 & lean production systems. Procedia Manufacturing 11, 1061–1068 (2017). https://doi.org/10.1016/j.promfg.2017.07.217
Deuse, J., Dombrowski, U., Nöhring, F., et al.: Systematic combination of Lean Management with digitalization to improve production systems on the example of Jidoka 4.0. Int. J. Eng. Bus. Mgmt. 12, 1–9 (2020). https://doi.org/10.1177/1847979020951351
Richter, T.: Vorgehensmodell zur Implementierung von Industrie 4.0 im Kontext Ganzheitlicher Produktionssysteme. Dissertation. Schriftenreihe des IFU, vol 37. Shaker, Düren (2021)
Dombrowski, U., Krenkel, P.: Ganzheitliches Produktionsmanagement. Springer, Berlin Heidelberg, Berlin, Heidelberg (2021)
Schumacher, S., Hall, R., Bildstein, A., et al.: Lean production systems 4.0: systematic literature review and field study on the digital transformation of lean methods and tools. Int. J. Prod. Res., 1–23 (2022). https://doi.org/10.1080/00207543.2022.2159562
Baudin, M., Netland, T.: Introduction to Manufacturing: An Industrial Engineering and Management Perspective. Routledge, New York (2023)
Schumacher, S., Hall, R., Bildstein, A., et al.: Toolbox lean 4.0 - development and implementation of a database approach for the management of digital methods and tools. Procedia CIRP 107, 776–781 (2022). https://doi.org/10.1016/j.procir.2022.05.061
Dombrowski, U., Richter, T.: The lean production system 4.0 framework. In: Moon, I., Lee, G.M., Park, J., et al. (eds) Advances in Production Management Systems, 536. Springer Int. Publ., Cham, pp. 410–416 (2018)
Fink, A.: Conducting Research Literature Reviews: From the Internet to Paper. Sage, Los Angeles (2020)
VDI: Lean Production Systems: List of Methods (2870 Part 2) (2013)
Nyhuis, P., Heins, M., Pachow-Frauenhofer, J., et al.: Wandlungsfähige Produk-tionssysteme. ZWF 103, 333–337 (2008). https://doi.org/10.3139/104.101285
Taylor, F.W.: The Principles of Scientific Management. Harper & Brothers, New York, London (1911)
Spath, D.: Ganzheitlich produzieren: Innovative Organisation und Führung. LOG_X Verlag, Wiesbaden (2003)
Ōno, T.: Toyota Production System. Productivity Press, New York (1988)
Womack, J.P., Jones, D.T.: Lean Thinking. Free Press, New York (2003)
Womack, J.P., Jones, D.T., Roos, D.: The Machine that Changed the World: Based on the Massachusetts Institute of Technology 5 Million Dollar 5 Year Study on the Future of the Automobile. Rawson, New York (1990)
Liker, J.K.: The Toyota Way: 14 Management Principles from the World’s Greatest Manufacturer, 2nd edn. McGraw-Hill; EBSCO Publ, New York, Ibswich Mass (2021)
Shah, R., Ward, P.T.: Defining and developing measures of lean production. J. Oper. Mgmt. 25, 785–805 (2007). https://doi.org/10.1016/j.jom.2007.01.019
Kagermann, H., Wahlster, W.: Ten years of industrie 4.0. Sci. 4, 26 (2022). https://doi.org/10.3390/sci4030026
Bauer, D., Schumacher, S., Gust, A., et al.: Characterization of autonomous production by a stage model. Procedia CIRP 81, 192–197 (2019). https://doi.org/10.1016/j.procir.2019.03.034
Neugebauer, R.: Digital Transformation. Fraunhofer-Forschungsfokus. Springer Vieweg, Berlin (2019)
Schumacher, S., Schmid, F., Bildstein, A., et al.: Lean production systems 4.0: the impact of the digital transformation on production system levels. In: 54th CIRP Conference on Manufacturing Systems. Procedia CIRP 104, pp. 259–264 (2021). https://doi.org/10.1016/j.procir.2021.11.044
Meudt, T., Metternich, J., Abele, E.: Value stream mapping 4.0. CIRP Ann. 66, 413–416 (2017). https://doi.org/10.1016/j.cirp.2017.04.005
Romero, D., Gaiardelli, P., Powell, D., et al.: Digital lean cyber-physical production systems: the emergence of digital lean manufacturing and the significance of digital waste. In: Moon, I., Lee, G.M., Park, J., et al. (eds) Advances in Production Management Sys-tems. Production Management for Data-Driven, Intelligent, Collaborative, and Sustainable Manufacturing: IFIP WG 5.7 International Conference, APMS 2018, Seoul, Korea, Au-gust 26–30, 2018, Proceedings, Part I. Springer International Publishing, Cham, pp. 11–20 (2018)
Rosin, F., Forget, P., Lamouri, S., et al.: Impacts of industry 4.0 technologies on lean principles. Int. J. Prod. Res. 58, 1644–1661 (2020). https://doi.org/10.1080/00207543.2019.1672902
Rossini, M., Costa, F., Tortorella, G.L., et al.: Lean Production and industry 4.0 integration: how lean Automation is emerging in manufacturing industry. Int. J. Prod. Res., 1–21 (2021). https://doi.org/10.1080/00207543.2021.1992031
Tortorella, G.L., Fettermann, D., Cauchick Miguel, P.A., et al.: Learning organisation and lean production: an empirical research on their relationship. Int. J. Prod. Res. 58, 3650–3666 (2020). https://doi.org/10.1080/00207543.2019.1633028
Lorenz, R., Buess, P., Macuvele, J., et al.: Lean and digitalization - contradictions or complements? In: Ameri, F., Stecke, K.E., von Cieminski, G., et al. (eds.) Advances in Produc-tion Management Systems. Springer Int, vol. 566, pp. 77–84. Publ, Cham (2019)
Dolgui, A., Bernard, A., Lemoine, D., et al.: Advances in production management systems. Artificial Intelligence for Sustainable and Resilient Production Systems. IFIP Advances in Information and Communication Technology. Springer International Publishing, Cham (2021)
Ciano, M.P., Dallasega, P., Orzes, G., et al.: One-to-one relationships between Industry 4.0 technologies and lean production techniques: a multiple case study. Int. J. Prod. Res. 59, 1386–1410 (2021). https://doi.org/10.1080/00207543.2020.1821119
Buer, S.-V., Semini, M., Strandhagen, J.O., et al.: The complementary effect of lean manufacturing and digitalisation on operational performance. Int. J. Prod. Res. 59, 1976–1992 (2021). https://doi.org/10.1080/00207543.2020.1790684
Langlotz, P., Aurich, J.C.: Causal and temporal relationships within the combination of lean production systems and industry 4.0. Procedia CIRP 96, 236–241 (2021). https://doi.org/10.1016/j.procir.2021.01.080
Hines, P., Tortorella, G.L., Antony, J., et al.: Lean industry 4.0: past, present, and future. Qual. Manag. J. 30, 64–88 (2023). https://doi.org/10.1080/10686967.2022.2144786
Mittal, S., Khan, M.A., Purohit, J.K., et al.: A smart manufacturing adoption framework for SMEs. Int. J. Prod. Res. 58, 1555–1573 (2020). https://doi.org/10.1080/00207543.2019.1661540
Jungkind, W., Könneker, M., Pläster, I., et al.: Handbuch der Prozessoptimierung: Die richtigen Werkzeuge auswählen und zielsicher einsetzen, 1. Auflage. REFA-Kompendium Arbeits organisation, Band 2. Hanser, München (2018)
Ullmann, G.: Ganzheitliche Produktionssysteme: IPH-Methodensammlung (2009). https://www.iph-hannover.de/_media/files/downloads/IPH_Lean_Methodensammlung.pdf. Accessed 12 Mar 2023
Torraco, R.J.: Writing integrative literature reviews. HR Development Rev. 15, 404–428 (2016). https://doi.org/10.1177/1534484316671606
Warschat, J., Schimpf, S., Korell, M. (eds.): Technologien frühzeitig erkennen. Fraunhofer-Verlag, Stuttgart, Nutzen-potenziale systematisch bewerten (2015)
Rummel, S.: Eine bewertungsbasierte Vorgehensweise zur Tauglichkeitsprüfung von Technologiekonzepten in der Technologieentwicklung. Schriftenreihe zu Arbeitswissen-schaft und Technologiemanagement, vol 16. Universitätsbibliothek der Universität Stuttgart, Stuttgart (2015)
Antes, G., von Elm, E.: Das PRISMA-Statement - was sollte über systematische Ub-ersichtsarbeiten berichtet werden? (The PRISMA Statement - what should be reported about systematic reviews?). Dtsch Med Wochenschr 134, 1619 (2009). https://doi.org/10.1055/s-0029-1233989
Moher, D., Liberati, A., Tetzlaff, J., et al.: Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement. PLoS Med 6, e1000097 (2009). https://doi.org/10.1371/journal.pmed.1000097
Liberati, A., Altman, D.G., Tetzlaff, J., et al.: The PRISMA statement for reporting systematic reviews and meta-analyses of studies that evaluate health care interventions: explanation and elaboration. PLoS Med 6 (2009). https://doi.org/10.1371/journal.pmed.1000100
Becker, J., Knackstedt, R., Pöppelbuß, J.: Entwicklung von Reifegradmodellen für das IT-Management. Wirtsch Inform 51, 249–260 (2009). https://doi.org/10.1007/s11576-009-0167-9
Mettler, T.: Supply-Management im Krankenhaus: Konstruktion und Evaluation eines konfigurierbaren Reifegradmodells zur zielgerichteten Gestaltung. Sankt Gallen, Univ., Diss., 2010, Sierke (2010)
Schumacher, S., Hall, R., Hautzinger, M., et al.: LPS 4.0 Methods Catalogue: Attachment to the Paper “Characterization of Digitalized Methods in Lean Production Systems 4.0” (2023). https://owncloud.fraunhofer.de/index.php/s/m7dqQSWvJVihLiS. Accessed 25 Mar 2023
Röltgen, A.T., Bernardy, V., Müller, R., et al.: Entwicklung, Einsatz und Evaluation eines Tools für digitales Ideenmanagement. Ein Fallbeispiel. Gr Interakt Org 51, 49–58 (2020). https://doi.org/10.1007/s11612-020-00500-6
Stadnicka, D., Bonci, A., Lorenzoni, E., et al.: Symbiotic cyber-physical kanban 4.0: an approach for SMEs. In: 2020 25th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA). IEEE, pp. 140–147 (2020)
Lopez-Leyva, J.A., Molina-Inzunza, A., Navarro-Paz, P., et al.: Customized smart andon system to improve the efficiency of industrial departments. JSIR 79, 35–37 (2020). https://doi.org/10.56042/jsir.v79i1.68111
Frick, N., Metternich, J.: The Digital Value Stream Twin. Systems 10, 102 (2022). https://doi.org/10.3390/systems10040102
Qiuling, Y.: Innovative practice of digital audit management mode for power grid enterprises. In: 2021 International Conference on Control Science and Electric Power Systems (CSEPS). IEEE, pp. 238–241 (2021)
Aufleger, M., Schneider, M.: Cardboard engineering 4.0 – IIoT für jedermann? ZWF 115, 442–445 (2020). https://doi.org/10.3139/104.112361
Schäfer, F., Mayr, A., Hess, A., et al.: Six sigma 4.0. ZWF 114, 140–144 (2019). https://doi.org/10.3139/104.112047
Cooke, T.A., Howe, W.R.: Dynamic statistical process control limits for power quality trend data. In: 2018 18th International Conference on Harmonics and Quality of Power (ICHQP). IEEE, pp. 1–5 (2018)
Adriano, D.D., Montez, C., Novaes, A.G.N., et al.: DMRVR: dynamic milk-run vehicle routing solution using fog-based vehicular ad hoc networks. Electronics 9, 2010 (2020). https://doi.org/10.3390/electronics9122010
Xu, Y., Chen, M.: Improving just-in-time manufacturing operations by using internet of things based solutions. Procedia CIRP 56, 326–331 (2016). https://doi.org/10.1016/j.procir.2016.10.030
Longard, L., Meißner, A., Müller, M., et al.: Digitales shopfloor management – wohin geht die reise? ZWF 115, 645–649 (2020). https://doi.org/10.3139/104.112358
Peças, P., Encarnação, J., Gambôa, M., et al.: PDCA 4.0: a new conceptual approach for continuous improvement in the industry 4.0 paradigm. Applied Sci. 11, 7671 (2021). https://doi.org/10.3390/app11167671
Romero, D., Gaiardelli, P., Powell, D.J., et al.: Intelligent poka-yokes: error-proofing and continuous improvement in the digital lean manufacturing world. In: Kim, D.Y., Cieminski, G., Romero, D. (eds) Advances in Production Management Systems. Smart Manufacturing and Logistics Systems: Turning Ideas into Action, 664. Springer Nature Switzerland, Cham, pp. 595–603 (2022)
Doğan, O., Cebeci, U., Oksuz, M.K.: An intelligent decision support system for SMED and its application in textile industry. In: Proceedings of the International Conference on Industrial Engineering and Operations Management (2018)
Kjellsen, H.S., Ramillon, Q.J.L., Dreyer, H.C., et al.: Heijunka 4.0 – key enabling technologies for production levelling in the process industry. In: Dolgui, A., Bernard, A., Lemoine, D., et al. (eds) Advances in Production Management Systems. Artificial Intelligence for Sustainable and Resilient Production Systems, 630. Springer International Publishing, Cham, pp. 704–711 (2021)
Alieva, J., Haartman, R.: Digital muda - the new form of waste by industry 4.0. OSCM: An Int J. 13(3), 269–278 (2020). https://doi.org/10.31387/OSCM0420268
Valamede, L.S., Akkari, A.C.S.: Lean 4.0: A new holistic approach for the integration of lean manufacturing tools and digital technologies. Int J Math, Eng, Manag Sci. 5, 851–868 (2020). https://doi.org/10.33889/IJMEMS.2020.5.5.066
Acknowledgements
This work was supported by the German Federal Ministry of Education and Research (BMBF) under grant 02L16Y101 (Future Work Lab) and implemented by the Project Management Agency Karlsruhe (PTKA).
Credit Author Statement
Simon Schumacher – Conceptualization, methodology, writing – original draft.
Roland Hall – Conceptualization, methodology, writing – reviewing and editing.
Michael Hautzinger – Conceptualization, methodology, writing – original draft.
Jan Schöllmann – Visualization, writing – reviewing and editing.
Thomas Bauernhansl – Supervision, writing – review and editing.
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Schumacher, S., Hall, R., Hautzinger, M., Schöllmann, J., Bauernhansl, T. (2023). Characterization of Digitally-Advanced Methods in Lean Production Systems 4.0. In: Alfnes, E., Romsdal, A., Strandhagen, J.O., von Cieminski, G., Romero, D. (eds) Advances in Production Management Systems. Production Management Systems for Responsible Manufacturing, Service, and Logistics Futures. APMS 2023. IFIP Advances in Information and Communication Technology, vol 689. Springer, Cham. https://doi.org/10.1007/978-3-031-43662-8_14
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