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2023 | OriginalPaper | Chapter

1. Grundlagen im Lean Management

Authors : Tin-Chih Toly Chen, Yi-Chi Wang

Published in: Künstliche Intelligenz und schlanke Produktion

Publisher: Springer International Publishing

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Zusammenfassung

Schlanke Fertigung, oder Lean Sigma, stammt aus Japan und ist ein bekanntes Werkzeug zur Verbesserung der Wettbewerbsfähigkeit von Herstellern weltweit. Schlanke Fertigung verbessert die Planung, Kontrolle und Verwaltung eines Fertigungssystems durch die Verwendung einfacher und effektiver Werkzeuge wie Kanbans, Taktgeber, Wertstrom-Mapping, 5s, Just-in-Time (JIT), Standardbetriebsverfahren, Lastausgleich, Pull-Fertigung und andere, wie in Abb. 1.1 dargestellt. Gemeinsame Merkmale dieser Werkzeuge sind Transparenz, Verständlichkeit und Kommunikation sowie Benutzerfreundlichkeit. Die Philosophie der geringen Stückzahl und hohen Vielfalt sowie die Pull-Produktion in der schlanken Fertigung sind jedoch möglicherweise nicht für alle Arten von Fabriken geeignet. Dennoch sind einige Konzepte und Techniken des Lean Managements von Referenzwert für alle Fabriken.

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Literature
1.
go back to reference A. Popa, R. Ramos, A.B. Cover, C.G. Popa, Integration of artificial intelligence and lean sigma for large field production optimization: application to Kern River Field, SPE Annual Technical Conference and Exhibition (2005) A. Popa, R. Ramos, A.B. Cover, C.G. Popa, Integration of artificial intelligence and lean sigma for large field production optimization: application to Kern River Field, SPE Annual Technical Conference and Exhibition (2005)
2.
go back to reference K. Antosz, L. Pasko, A. Gola, The use of artificial intelligence methods to assess the effectiveness of lean maintenance concept implementation in manufacturing enterprises. Appl. Sci. 10(21), 7922 (2020)CrossRef K. Antosz, L. Pasko, A. Gola, The use of artificial intelligence methods to assess the effectiveness of lean maintenance concept implementation in manufacturing enterprises. Appl. Sci. 10(21), 7922 (2020)CrossRef
3.
go back to reference M. Poppendieck, Principles of lean thinking. IT Manag. Select 18, 1–7 (2011) M. Poppendieck, Principles of lean thinking. IT Manag. Select 18, 1–7 (2011)
4.
go back to reference A. Sanders, C. Elangeswaran, J.P. Wulfsberg, 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) A. Sanders, C. Elangeswaran, J.P. Wulfsberg, 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)
5.
go back to reference T. Melo, A.C. Alves, I. Lopes, A. Colim, Reducing 3M by improved layouts and ergonomic intervention in a lean journey in a cork company, in Occupational and Environmental Safety and Health II (2020), S. 537–545 T. Melo, A.C. Alves, I. Lopes, A. Colim, Reducing 3M by improved layouts and ergonomic intervention in a lean journey in a cork company, in Occupational and Environmental Safety and Health II (2020), S. 537–545
6.
go back to reference N. Toshiko, Kaizen Express (Lean Enterprise Institute, 2009) N. Toshiko, Kaizen Express (Lean Enterprise Institute, 2009)
7.
go back to reference J. Michalska, D. Szewieczek, The 5S methodology as a tool for improving the organization. J. Achiev. Mater. Manuf. Eng. 24(2), 211–214 (2007) J. Michalska, D. Szewieczek, The 5S methodology as a tool for improving the organization. J. Achiev. Mater. Manuf. Eng. 24(2), 211–214 (2007)
8.
go back to reference T. Osada, 5S – Handmade Management Method (JIPM, 1989) T. Osada, 5S – Handmade Management Method (JIPM, 1989)
9.
go back to reference C.D. Chapman, Clean house with lean 5S. Qual. Prog. 38(6), 27–32 (2005) C.D. Chapman, Clean house with lean 5S. Qual. Prog. 38(6), 27–32 (2005)
10.
go back to reference R. Gapp, R. Fisher, K. Kobayashi, Implementing 5S within a Japanese context: an integrated management system. Manag. Decis. 46(4), 565–579 (2008)CrossRef R. Gapp, R. Fisher, K. Kobayashi, Implementing 5S within a Japanese context: an integrated management system. Manag. Decis. 46(4), 565–579 (2008)CrossRef
11.
go back to reference B. Kassem, F. Costa, A.P. Staudacher, Discovering artificial intelligence implementation and insights for lean production, in European Lean Educator Conference (2021), S. 172–181 B. Kassem, F. Costa, A.P. Staudacher, Discovering artificial intelligence implementation and insights for lean production, in European Lean Educator Conference (2021), S. 172–181
12.
go back to reference J.T. Black, Design rules for implementing the Toyota production system. Int. J. Prod. Res. 45(16), 3639–3664 (2007)CrossRefMATH J.T. Black, Design rules for implementing the Toyota production system. Int. J. Prod. Res. 45(16), 3639–3664 (2007)CrossRefMATH
13.
go back to reference M. Saruta, Toyota production systems: the ‘Toyota way’ and labour–management relations. Asian Bus. Manag. 5(4), 487–506 (2006)CrossRef M. Saruta, Toyota production systems: the ‘Toyota way’ and labour–management relations. Asian Bus. Manag. 5(4), 487–506 (2006)CrossRef
14.
go back to reference M.L. Junior, M. Godinho Filho, Variations of the kanban system: literature review and classification. Int. J. Prod. Econ. 125(1), 13–21 (2010) M.L. Junior, M. Godinho Filho, Variations of the kanban system: literature review and classification. Int. J. Prod. Econ. 125(1), 13–21 (2010)
15.
go back to reference H. Groenevelt, The just-in-time system. Handb. Oper. Res. Manag. Sci. 4, 629–670 (1993)CrossRef H. Groenevelt, The just-in-time system. Handb. Oper. Res. Manag. Sci. 4, 629–670 (1993)CrossRef
16.
go back to reference T. Chen, Creating a just-in-time location-aware service using fuzzy logic. Appl. Spat. Anal. Policy 26(9), 287–307 (2016)MathSciNetCrossRef T. Chen, Creating a just-in-time location-aware service using fuzzy logic. Appl. Spat. Anal. Policy 26(9), 287–307 (2016)MathSciNetCrossRef
17.
go back to reference H. Pačaiová, G. Ižaríková, Base principles and practices for implementation of total productive maintenance in automotive industry. Qual. Innov. Prosper. 23(1), 45–59 (2019)CrossRef H. Pačaiová, G. Ižaríková, Base principles and practices for implementation of total productive maintenance in automotive industry. Qual. Innov. Prosper. 23(1), 45–59 (2019)CrossRef
19.
go back to reference C.J. Bamber, J.M. Sharp, M.T. Hides, Factors affecting successful implementation of total productive maintenance: a UK manufacturing case study perspective. J. Qual. Maint. Eng. 5(3), 162–181 (1999)CrossRef C.J. Bamber, J.M. Sharp, M.T. Hides, Factors affecting successful implementation of total productive maintenance: a UK manufacturing case study perspective. J. Qual. Maint. Eng. 5(3), 162–181 (1999)CrossRef
20.
go back to reference R.M. Ali, A.M. Deif, Dynamic lean assessment for takt time implementation. Procedia CIRP 17, 577–581 (2014)CrossRef R.M. Ali, A.M. Deif, Dynamic lean assessment for takt time implementation. Procedia CIRP 17, 577–581 (2014)CrossRef
21.
go back to reference T.R. Mohan, J.P. Roselyn, R.A. Uthra, D. Devaraj, K. Umachandran, Intelligent machine learning based total productive maintenance approach for achieving zero downtime in industrial machinery. Comput. Ind. Eng. 157, 107267 (2021)CrossRef T.R. Mohan, J.P. Roselyn, R.A. Uthra, D. Devaraj, K. Umachandran, Intelligent machine learning based total productive maintenance approach for achieving zero downtime in industrial machinery. Comput. Ind. Eng. 157, 107267 (2021)CrossRef
22.
go back to reference H. Nakayama, S. Ata, I. Oka, Predicting time series of individual trends with resolution adaptive ARIMA, in 2013 IEEE International Workshop on Measurements & Networking (2013), S. 143–148 H. Nakayama, S. Ata, I. Oka, Predicting time series of individual trends with resolution adaptive ARIMA, in 2013 IEEE International Workshop on Measurements & Networking (2013), S. 143–148
23.
go back to reference A. Encapera, A. Gosavi, S.L. Murray, Total productive maintenance of make-to-stock production-inventory systems via artificial-intelligence-based iSMART. Int. J. Syst. Sci. Operat. Logist. 8(2), 154–166 (2021) A. Encapera, A. Gosavi, S.L. Murray, Total productive maintenance of make-to-stock production-inventory systems via artificial-intelligence-based iSMART. Int. J. Syst. Sci. Operat. Logist. 8(2), 154–166 (2021)
24.
go back to reference K. Senderská, A. Mareš, Š Václav, Spaghetti diagram application for workers’ movement analysis. UPB Sci. Bull. Ser. D Mech. Eng. 79(1), 139–150 (2017) K. Senderská, A. Mareš, Š Václav, Spaghetti diagram application for workers’ movement analysis. UPB Sci. Bull. Ser. D Mech. Eng. 79(1), 139–150 (2017)
25.
go back to reference N. Daneshjo, V. Rudy, P. Malega, P. Krnáčová, Application of Spaghetti diagram in layout evaluation process: a case study. Technol. Edu. Manag. Inf. J. 10(2), 573–582 (2021) N. Daneshjo, V. Rudy, P. Malega, P. Krnáčová, Application of Spaghetti diagram in layout evaluation process: a case study. Technol. Edu. Manag. Inf. J. 10(2), 573–582 (2021)
26.
go back to reference J.F. Cox III, J.G. Schleier Jr., Theory of Constraints Handbook (McGraw-Hill Education, 2010) J.F. Cox III, J.G. Schleier Jr., Theory of Constraints Handbook (McGraw-Hill Education, 2010)
27.
go back to reference H. Zhang, Z. Jiang, C. Guo, Simulation-based optimization of dispatching rules for semiconductor wafer fabrication system scheduling by the response surface methodology. Int. J. Adv. Manuf. Technol. 41(1–2), 110–121 (2009)CrossRef H. Zhang, Z. Jiang, C. Guo, Simulation-based optimization of dispatching rules for semiconductor wafer fabrication system scheduling by the response surface methodology. Int. J. Adv. Manuf. Technol. 41(1–2), 110–121 (2009)CrossRef
28.
go back to reference T. Chen, A fuzzy-neural DBD approach for job scheduling in a wafer fabrication factory. Int. J. Innov. Comput. Inf. Control 8(6), 4024–4044 (2012) T. Chen, A fuzzy-neural DBD approach for job scheduling in a wafer fabrication factory. Int. J. Innov. Comput. Inf. Control 8(6), 4024–4044 (2012)
29.
go back to reference M. Braglia, G. Carmignani, F. Zammori, A new value stream mapping approach for complex production systems. Int. J. Prod. Res. 44(18–19), 3929–3952 (2006)CrossRefMATH M. Braglia, G. Carmignani, F. Zammori, A new value stream mapping approach for complex production systems. Int. J. Prod. Res. 44(18–19), 3929–3952 (2006)CrossRefMATH
30.
go back to reference P. Perico, J. Mattioli, Empowering process and control in lean 4.0 with artificial intelligence, in Third International Conference on Artificial Intelligence for Industries (2020), S. 6–9 P. Perico, J. Mattioli, Empowering process and control in lean 4.0 with artificial intelligence, in Third International Conference on Artificial Intelligence for Industries (2020), S. 6–9
Metadata
Title
Grundlagen im Lean Management
Authors
Tin-Chih Toly Chen
Yi-Chi Wang
Copyright Year
2023
DOI
https://doi.org/10.1007/978-3-031-44280-3_1

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