Abstract
In the last decade, industry across the globe has been under a massive change in its manufacturing paradigm triggered by the emergence of concepts such as Industry 4.0. Established streamlining philosophies such as Lean manufacturing had to cope with this paradigm shift. In this regard, expansive literature has developed concepts such as Digital Lean or Lean 4.0 to address such change. This publication fits in this same research stream as it provides a comprehensive and detailed conjunction on how to adapt lean instruments and the concepts of Lean Manufacturing to the Industry 4.0 environment. Two Lean tools/methods are taken as examples in this research to showcase something bigger: the difference between a pure digital conversion of a Lean tool (Visual Management Boards) and a possible “novel” Lean method (Single Minute Exchange of Die), enabled by its digitalization. New ways to apply both techniques are proposed. The analysis done in this study shows the feasibility to upgrade and modernize established Lean tools and methods, improving its efficiency and effectiveness, and also the possibility to give new features and scope to some of them, causing not only an improvement but a transformation.
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References
Rand, G., Womack, J., Jones, D.T.: Lean thinking-banish waste and create wealth in your corporation. J. Oper. Res. Soc. 48(11), 1148 (1996). https://doi.org/10.1038/sj.jors.2600967
J. P. Womack, D. T. Jones, D. Roos the machine that changed the world: how lean production revoutionized the global car wars. First (ed). Simon & Schuster Ltd: UK. (1990)
Peças, P., Gonçalves, B., Rocha, B., Jorge, D., Baptista, A.: Optimisation techniques to support decision-making processes via the msm – a industry 4.0 approach. In: Ram, M. (ed.) Advances in mathematics for industry 4.0. Elsevier Science, Academic Press, Nertharland (2020)
Curran, R., Collins, R., Poots, G., Edgar, T., Higgins, C., Butterfield, J.: Digital Lean Manufacture (DLM): a new management methodology for production operations integration. In: Collaborative product and service life cycle management for a sustainable world, pp. 551–571. Springer, London (2008)
Mayr, A., et al.: Lean 4.0-A conceptual conjunction of lean management and industry 4.0. Procedia CIRP 72, 622–628 (2018). https://doi.org/10.1016/j.procir.2018.03.292
C. König, “Schlank durch digitalisierung,” 2017
Buer, S.V., Strandhagen, J.O., Chan, F.T.S.: The link between industry 4.0 and lean manufacturing: mapping current research and establishing a research agenda. Int. J. Prod. Res. (2018). https://doi.org/10.1080/00207543.2018.1442945
H. Kagermann, W. Wolfgang, and J. Helbig, “Recommendations for implementing the strategic initiative INDUSTRIE 4.0. Final report of the Industrie 4.0 working Group,” forschungsunion, Acatech, 2013.https://en.acatech.de/publication/recommendations-for-implementing-the-strategic-initiative-industrie-4-0-final-report-of-the-industrie-4-0-working-group/download-pdf?lang=en
Hermann, M., Pentek, T., Otto, B.: “Design principles for industrie 40 scenarios. In: Proc annu. hawaii int. conf. syst. sci, pp. 3928–3937. IEEE, New Jersey (2016)
Bibby, L., Dehe, B.: Defining and assessing industry 4.0 maturity levels–case of the defence sector. Prod. Plan. Control 29(12), 1030–1043 (2018). https://doi.org/10.1080/09537287.2018.1503355
Hermann, M., Pentek, T., Otto, B.: Design principles for industry 4.0 scenarios: a literature review. Tech. Univ. Dortm. 1, 16 (2015)
J. Hercko, J. Hnat, and E. Slamkova, “Industry 40 – New Era of Manufacturing.” ResearchGate, no June 2015, pp. 2–6, (2016)
Boyes, H., Hallaq, B., Cunningham, J., Watson, T.: The industrial internet of things (IIoT): an analysis framework. Comput. Ind. 101, 1–12 (2018). https://doi.org/10.1016/j.compind.2018.04.015
Wagner, T., Herrmann, C., Thiede, S.: Industry 4.0 impacts on lean production systems. Procedia CIRP 63, 125–131 (2017). https://doi.org/10.1016/j.procir.2017.02.041
Lucke, D., Constantinescu, C., Westkämper, E.: Smart factory - a step towards the next generation of manufacturing. Manuf. Syst. Technol. New Front. (2008). https://doi.org/10.1007/978-1-84800-267-8_23
Sanders, A., Elangeswaran, C., Wulfsberg, J.: Industry 4.0 implies lean manufacturing: Research activities in industry 4.0 function as enablers for lean manufacturing. J. Ind. Eng. Manag. 9(3), 811–833 (2016). https://doi.org/10.3926/jiem.1940
Mikusz, M.: Towards an understanding of cyber-physical systems as industrial software-product-service systems. Procedia CIRP 16, 385–389 (2014). https://doi.org/10.1016/j.procir.2014.02.025
Mrugalska, B., Wyrwicka, M.K.: Towards lean production in industry 4.0. Procedia Eng. 182, 466–473 (2017). https://doi.org/10.1016/j.proeng.2017.03.135
Mayr, A., et al.: Lean 4.0-A conceptual conjunction of lean management and Industry 4.0. Procedia CIRP 72(May), 622–628 (2018). https://doi.org/10.1016/j.procir.2018.03.292
Prinz, C., Kreggenfeld, N., Kuhlenkötter, B.: Lean meets Industrie 4.0 - A practical approach to interlink the method world and cyber-physical world. Procedia Manuf. 23(2017), 21–26 (2018). https://doi.org/10.1016/j.promfg.2018.03.155
Koren, Y., Shpitalni, M., Gu, P., Hu, S.J.: Product design for mass-individualization. Procedia CIRP 36, 64–71 (2015). https://doi.org/10.1016/j.procir.2015.03.050
Wang, Y.: CIRP encyclopedia of production engineering. Springer-Verlag, Berlin Heidelberg (2014)
Kolberg, D., Knobloch, J., Zühlke, D.: Towards a lean automation interface for workstations. Int. J. Prod. Res. 55(10), 2845–2856 (2017). https://doi.org/10.1080/00207543.2016.1223384
K. Lichblau et al., “IMPULS - Industrie 4.0 readiness.” pp. 0–77, (2015)
O. Agca, J. Gibson, J. Godsell, J. Ignatius, C. Wyn Davies, and O. Xu, “An Industry 4 readiness assessment tool,” Int. Inst. Prod. Serv. Innov., pp. 1–19, (2017)
R. Anderl and J. Fleischer, guideline industrie 4.0: guiding principles for the implementation of Industrie 4.0 in small and medium sized businesses. VDMA Verlag GmbH. (2016)
R. Griessbauer et al., “Industry 4.0 : Building the digital enterprise.” (2016). doi: https://doi.org/10.1080/01969722.2015.1007734
Mittelstand 4.0 Kompetenzzentrum Chemnintz, “Industry 4.0 Selbstcheck”
G. Schuh, R. Anderl, J. Gausemeier, M. Hompel, W. Wahlster, Industrie 4.0 Maturity Index – Managing the Digital Transformation of Companies. Acatech STUDY english. (2017)
A. Schumacher, S. Erol, W. Sihn, “a maturity model for assessing industry 4.0 readiness and maturity of manufacturing enterprises.” (2016). doi: https://doi.org/10.1016/j.procir.2016.07.040
Automation, R.: The Connected Enterprise Maturity Model. Int. Comm. Illum. (2014). https://doi.org/10.15358/0935-0381-2015-8-9-515
S. Erol, A. Schumacher, W. Sihn, “Strategic guidance towards Industry 4.0 – a three-stage process model,” Coma, (2016)
A. Ashrafian et al., “Sketching the Landscape for Lean Digital Transformation,” IFIP Int. Fed. Inf. Process. 2019, (2019). doi: https://doi.org/10.1007/978-3-030-30000-5_4
D. Romero, M. Flores, M. Herrera, H. Resendez, “Five Management Pillars for Digital Transformation Integrating the Lean Thinking Philosophy.” Proc 2019 IEEE Int. Conf. Eng. Technol. Innov. ICE/ITMC 2019. (2019) doi: https://doi.org/10.1109/ICE.2019.8792650
More, E., Gaiardelli, P., Resta, B., Powell, D.: “exploiting lean benefits through smart manufacturing: a comprehensive perspective”, IFIP WG 57 Int. Conf. APMS 2017(513), 298–305 (2017). https://doi.org/10.1007/978-3-319-66923-6
Sony, M.: Industry 4.0 and lean management: a proposed integration model and research propositions. Prod. Manuf. Res. 6(1), 416–432 (2018). https://doi.org/10.1080/21693277.2018.1540949
P. Burggr, C. Lorber, A. Pyka, and J. Wagner, “Kaizen 40 towards an integrated framework for the lean-industry 40 transformation.” 1: 692–709, (2020)
Beyaz, H.F., Yıldırım, N.: A multi-criteria decision-making model for digital transformation in manufacturing: a case study from automotive supplier industry. Notes Mech. Eng Lect, Cham (2020). https://doi.org/10.1007/978-3-030-31343-2_19
Enke, J., Glass, R., Kreß, A., Hambach, J., Tisch, M., Metternich, J.: Industrie 4.0 - competencies for a modern production system: a curriculum for learning factories. Procedia Manuf. 23(2017), 267–272 (2018). https://doi.org/10.1016/j.promfg.2018.04.028
Villalba-Diez, J., Ordieres-Meré, J., Molina, M., Rossner, M., Lay, M.: Lean dendrochronology: complexity reduction by representation of kpi dynamics looking at strategic organizational design. Manag. Prod. Eng. Rev. 9(4), 3–9 (2018). https://doi.org/10.24425/119541
Pereira, A.C., Dinis-Carvalho, J., Alves, A.C., Arezes, P.: How Industry 4.0 can enhance lean practices. FME Trans. 47(4), 810–822 (2019). https://doi.org/10.5937/fmet1904810P
N. Y. G. Yeen, K. H. Wong, H. Dunant, J. Lu, and H. S. Kang, “Industry 4.0 Enhanced Lean Manufacturing,” Proc. 2019 8th Int. Conf. Ind. Technol. Manag. (ICITM), Cambridge, UK, 2–4 March, pp. 206–211, (2019). doi: https://doi.org/10.1109/ICITM.2019.8710669
Dombrowski, U., Ritcher, T.: The lean production system 40 framework - enhancing lean methods. Springer International Publishing, London (2018)
Pekarčíková, M., Trebuňa, P., Kliment, M.: Digitalization effects on the usability of lean tools. Acta Logist. 6(1), 9–13 (2019). https://doi.org/10.22306/al.v6i1.112
Rosin, F., Forget, P., Lamouri, S., Pellerin, R.: Impacts of Industry 4.0 technologies on Lean principles. Int. J. Prod. Res. (2019). https://doi.org/10.1080/00207543.2019.1672902
Kolla, S., Minufekr, M., Plapper, P.: Deriving essential components of lean and industry 4.0 assessment model for manufacturing SMEs. Procedia CIRP 81, 753–758 (2019). https://doi.org/10.1016/j.procir.2019.03.189
Teixeira, L., Ferreira, C., Sousa Santos, B.: an information management framework to industry 4.0: a lean thinking approach. Springer International Publishing, London (2019)
Antosz, K., Stadnicka, D.: Possibilities of maintenance service process analyses and improvement through six sigma, lean and industry 4.0 implementation. Springer International Publishing, London (2018)
Lödding, H., Riedel, R., Thoben, K.D., von Cieminski, G., Kiritsis, D.: Industry 4.0 and Lean Management – Synergy or contradition? IFIP Adv. Inf. Commun. Technol. 514, 341–349 (2017). https://doi.org/10.1007/978-3-319-66926-7
Buer, S.V., Fragapane, G.I., Strandhagen, J.O.: The Data-Driven Process Improvement Cycle: Using Digitalization for Continuous Improvement. IFAC-PapersOnLine 51(11), 1035–1040 (2018). https://doi.org/10.1016/j.ifacol.2018.08.471
Kolberg, D., Zühlke, D.: Lean Automation enabled by Industry 40 Technologies. IFAC. (2015). https://doi.org/10.1016/j.ifacol.2015.06.359
Tortorella, G.L., Giglio, R., van Dun, D.H.: Industry 4.0 adoption as a moderator of the impact of lean production practices on operational performance improvement. Int. J. Oper. Prod. Manag. 39, 860–886 (2019). https://doi.org/10.1108/IJOPM-01-2019-0005
Tortorella, G.L., Rossini, M., Costa, F., Portioli Staudacher, A., Sawhney, R.: A comparison on industry 4.0 and lean production between manufacturers from emerging and developed economies. Manag. Bus. Excell, Total Qual (2019). https://doi.org/10.1080/14783363.2019.1696184
Kamble, S., Gunasekaran, A., Dhone, N.C.: Industry 4.0 and lean manufacturing practices for sustainable organisational performance in Indian manufacturing companies. Int. J. Prod. Res. (2019). https://doi.org/10.1080/00207543.2019.1630772
Hotrawaisaya, C., Pakvichai, V., Sriyakul, T.: Lean production determinants and performance consequences of implementation of industry 4.0 in Thailand: evidence from manufacturing sector. Int. J. Supply Chain Manag. 8(5), 559–571 (2019). https://doi.org/10.13140/RG.2.2.16491.69929
Tortorella, G.L., Miorando, R.F., Fries, C.E., Vergara, A.M.C.: On the relationship between lean supply chain management and performance improvement by adopting industry 4.0 technologies. Proc. Int. Conf. Ind. Eng. Oper. Manag. 2018, 2475–2484 (2018). https://doi.org/10.13140/RG.2.2.16491.69929
Rossini, M., Costa, F., Tortorella, G.L., Portioli-Staudacher, A.: The interrelation between Industry 4.0 and lean production: an empirical study on European manufacturers. Int. J. Adv. Manuf. Technol. 102(9–12), 3963–3976 (2019). https://doi.org/10.1007/s00170-019-03441-7
Trebuna, P., Pekarcikova, M., Edl, M.: Digital value stream mapping using the tecnomatix plant simulation software. Int. J. Simul. Model. 18(1), 19–32 (2019). https://doi.org/10.2507/IJSIMM18(1)455
Hartmann, L., Meudt, T., Seifermann, S., Metternich, J.: Value stream design 4.0: Designing lean value streams in times of digitalization and industrie 4.0. ZWF Zeitschrift fuer Wirtschaftlichen Fabrikbetr. 113(6), 393–397 (2018). https://doi.org/10.3139/104.111931
Wagner, T., Herrmann, C., Thiede, S.: Identifying target oriented Industrie 4.0 potentials in lean automotive electronics value streams. Procedia CIRP 72, 1003–1008 (2018). https://doi.org/10.1016/j.procir.2018.03.003
Meudt, T., Metternich, J., Abele, E.: Value stream mapping 4.0: Holistic examination of value stream and information logistics in production. CIRP Ann. Manuf. Technol. 66(1), 413–416 (2017). https://doi.org/10.1016/j.cirp.2017.04.005
N. A. Phuong and T. Guidat, “Sustainable value stream mapping and technologies of Industry 4.0 in manufacturing process reconfiguration: A case study in an apparel company.” In: Proc. 2018 IEEE Int. Conf. Serv. Oper. Logist. Informatics, SOLI 2018. pp. 85–90, (2018)
Hartmann, L., Meudt, T., Seifermann, S., Metternich, J.: Value stream method 4.0: holistic method to analyse and design value streams in the digital age. Procedia CIRP 78, 249–254 (2018). https://doi.org/10.1016/j.procir.2018.08.309
Lugert, A., Batz, A., Winkler, H.: Empirical assessment of the future adequacy of value stream mapping in manufacturing industries. J. Manuf. Technol. Manag. 29(5), 886–906 (2018). https://doi.org/10.1108/JMTM-11-2017-0236
Lugert, A., Völker, K., Winkler, H.: Dynamization of Value Stream Management by technical and managerial approach. Procedia CIRP 72, 701–706 (2018). https://doi.org/10.1016/j.procir.2018.03.284
Y. C. Wang, L. F. Wang, Z. Y. Xu, Z. K. Li, F. Q. Wang, “Study on innovation and practice of independent auto companies lean digital factory building.” In 19th international conference on industrial engineering and engineering management: assistive technology of industrial engineering. pp. 1369–1378, (2013)
Ghobakhloo, M., Fathi, M.: Corporate survival in Industry 4.0 era the enabling role of lean-digitized manufacturing pdf. J. Manuf. Technol. Manag. (2019). https://doi.org/10.1108/JMTM-11-2018-0417
Powell, D., Romero, D., Gaiardelli, P., Cimini, C., Cavalieri, S.: Towards digital lean cyber-physical production systems: industry 40 technologies as enablers of leaner production, vol. 536. Springer International Publishing, London (2018)
Ma, J., Wang, Q., Zhao, Z.: SLAE–CPS: Smart lean automation engine enabled by cyber-physical systems technologies. Sensors 17(7), 3159805 (2017). https://doi.org/10.3390/s17071500
Adrian, B., Hinrichsen, S., Nikolenko, A., Meyer, F.: How to combine lean, human factors and digital manufacturing – a teaching concept. Adv. Intell. Syst. Comput. 959, 45–55 (2020). https://doi.org/10.1007/978-3-030-20040-4_5
Rauch, E., Dallasega, P., Matt, D.T.: The way from lean product development (LPD) to smart product development (SPD). Procedia CIRP 50, 26–31 (2016). https://doi.org/10.1016/j.procir.2016.05.081
Romero, D., Gaiardelli, P., Powell, D., Wuest, T., Thürer, M.: Total quality management and quality circles in the digital lean manufacturing world. IFIP Adv. Inf. Commun. Technol. 566, 3–11 (2019). https://doi.org/10.1007/978-3-030-30000-5_1
Meister, M., Böing, T., Batz, S., Metternich, J.: Problem-solving process design in production: current progress and action required. Procedia CIRP 78, 376–381 (2018). https://doi.org/10.1016/j.procir.2018.08.316
Uriarte, A.G., Ng, A.H.C., Moris, M.U.: Supporting the lean journey with simulation and optimization in the context of Industry 4.0. Procedia Manuf. 25, 586–593 (2018). https://doi.org/10.1016/j.promfg.2018.06.097
Moon, I., Lee, G.M., Park, J., Kiritsis, D., von Cieminski, G.: Digital lean cyber-physical production systems: the emergence of digital lean manufacturing and the significance of digital waste. IFIP Adv. Inf. Commun. Technol. 535, v–vi (2018). https://doi.org/10.1007/978-3-319-99704-9
Romero, D., Gaiardelli, P., Thürer, M., Powell, D., Wuest, T.: Cyber-physical waste identification and elimination strategies in the digital lean manufacturing world. IFIP Adv. Inf. Commun. Technol. 566, 37–45 (2019). https://doi.org/10.1007/978-3-030-30000-5_5
Protzman, C., Whiton, F., Kerpchar, J., Lewandowski, C., Stenberg, S., Grounds, P.: The lean practitioner’s field book: proven, practical, profitable and powerful techniques for making lean really work. CRC Press, New Jersey (2016)
R. Wheeler, “Visual management boards: what are they and how do you use them?,” Life Cycle Eng., 2016.
Galsworth, G.: Visual workplace visual thinking: creating enterprise excellence through the technologies of the visual workplace, 1st edn. Productivity Press, Netharland (2017)
Oliveira, M., Jorge, D., Peças, P.: Methodology of operationalization of KPIs for shop-floor. In: Handbook of research on green engineering techniques for modern manufacturing, pp. 163–191. IGI Global, Pennsylvania (2019)
Shingo, S., Dillon, A.P.: A Revolution in Manufacturing: The SMED System. Productivity Press, Netharland (1985)
Morgado, J., Peças, P., Jorge, A., Henriques, E., Cernadas, R., Furtado, S.: Setup performance indicators: a tool to systematize and standardize the setup process diagnosis. Springer, London (2013)
McIntosh, R.I., Culley, S.J., Mileham, A.R., Owen, G.W.: A critical evaluation of shingo’s ‘SMED’ (single minute exchange of die) methodology. Int. J. Prod. Res. (2000). https://doi.org/10.1080/00207540050031823
McIntosh, R., Owen, G., Culley, S., Mileham, T.: Changeover improvement: reinterpreting shingo’s ‘SMED’ methodology. IEEE Trans. Eng. Manag. (2007). https://doi.org/10.1109/TEM.2006.889070
Sousa, E., Silva, F.J.G., Ferreira, L.P., Pereira, M.T., Gouveia, R., Silva, R.P.: Applying SMED methodology in cork stoppers production. Procedia Manuf (2018). https://doi.org/10.1016/j.promfg.2018.10.103
Bell, E., Davison, J.: Visual management studies: empirical and theoretical approaches. Int. J. Manag. Rev. 15(2), 167–184 (2013). https://doi.org/10.1111/j.1468-2370.2012.00342.x
Steenkamp, L.P., Hagedorn-Hansen, D., Oosthuizen, G.A.: Visual management system to manage manufacturing resources. Procedia Manuf. (2017). https://doi.org/10.1016/j.promfg.2017.02.058
D. Parmenter, Key performance indicators (KPI). (2010)
Kaplan, R.S., Norton, D.P.: The balanced scorecard: Measures That drive performance. Harvard Business Rev. 83, 7–8 (2005)
Marr, B.: Key Performance Indicators for Dummiers. Wiley, New Jersey (2015)
ISO, “ISO 22400: Automation systems and integration — Key performance indicators (KPIs) for manufacturing operations management — Part 1: Overview, concepts and terminology,” (2014)
Tokola, H., Gröger, C., Järvenpää, E., Niemi, E.: Designing manufacturing dashboards on the basis of a key performance indicator survey. Procedia CIRP (2016). https://doi.org/10.1016/j.procir.2016.11.107
Kahn, S.R.: Key performance indicators: the 75 measures every manager needs to know. Choice Curr. Rev. Acad. Libr. 50(5), 926 (2013)
Sly, D.: Integrating 3D product models with assembly line balancing via process consumption. Proc. Manufactur. 17, 183–189 (2018)
Kamble, S.S., Gunasekaran, A., Gawankar, S.A.: Sustainable industry 4.0 framework: a systematic literature review identifying the current trends and future perspectives. Process Saf. Environ. Prot. (2018). https://doi.org/10.1016/j.psep.2018.05.009
Amaral, A., Peças, P.: SMEs and industry 40: two case studies of digitalization for a smoother integration. Comput. Ind. (2020). https://doi.org/10.1016/j.compind.2020.103333
Amaral, A., Jorge, D., Peças, P.: Small medium enterprises and industry 4.0: current models’ ineptitude and the proposal of a methodology to successfully implement industry 4.0. Procedia Manuf. 41, 1103–1110 (2020). https://doi.org/10.1016/j.promfg.2019.10.039
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This work was supported by FCT, through IDMEC, under LAETA, project UIDB/50022/2020. Authors gratefully acknowledge the funding of Project POCI-01-0247-FEDER-046102, cofinanced by Programa Operacional Competitividade e Internacionalização and Programa Operacional Regional de Lisboa, through Fundo Europeu de Desenvolvimento Regional (FEDER) and by National Funds through FCT - Fundação para a Ciência e Tecnologia.
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PP: Research approach, methods design, scientific coherence and final revision. MF: Bibliographic survey, methods operational design and examples design. JL: survey and examples revision. AA: Bibliographic survey, manuscript organization, contributions consolidation and final revision.
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Peças, P., Faustino, M., Lopes, J. et al. Lean methods digitization towards lean 4.0: a case study of e-VMB and e-SMED. Int J Interact Des Manuf 16, 1397–1415 (2022). https://doi.org/10.1007/s12008-022-00975-1
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DOI: https://doi.org/10.1007/s12008-022-00975-1