Abstract
Since the 1990s a transition from mass production systems to integrated production systems has been taking place. Realising the potential of integrated production systems to reduce costs by avoiding waste, more and more companies follow the example of Toyota and try to increase their production systems’ performance by applying lean elements and methods. However, the lack of a holistic methodology to forecast the profitability of the application of lean elements and methods impedes the justification of necessary investments. This paper presents an approach developed at the Institute of Production Science of the Karlsruhe Institute of Technology to valuate the increased performance of a production system by lean elements and methods. By simulating and optimising the analysed production system, the ideal combination of lean methods can be identified. Key performance indicators of the real and ideal states of the production system can then be used to quantify the effects of the ideal combination of lean methods.
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Abbreviations
- CTI:
-
Cost–time investment
- CTPs:
-
Cost–time profiles
- e.g.:
-
Lat. exempli gratia—for example
- i.e.:
-
Lat. in est—in particular
- LESAT:
-
Lean enterprise self-assessment tool
- KIT:
-
Karlsruhe Institute of Technology
- KPIs:
-
Key performance indicators
- SMED:
-
Single minute exchange of die
- TPM:
-
Total productive maintenance
- TQM:
-
Total quality management
- VSA:
-
Value stream analysis
- vs.:
-
Versus
- wbk:
-
Institute of Production Science
- 5S:
-
Standardisation of workplaces
References
Ohno T (1988) Toyota production system—beyond large-scale production. Productivity Press, Portland
Womack J, Jones D, Roos D (1990) The machine that changed the world. Free Press, New York
Dombrowski U, Schmidt S, Crespo I (2008) Stand und Entwicklungstendenzen von Ganzheitlichen Produktionssystemen in Deutschland. Braunschweiger GPS Symposium, TU Braunschweig
Peter K (2009) Bewertung und Optimierung der Effektivität von Lean Methoden in der Kleinserienproduktion. Dissertation, Universität Karlsruhe (TH)
Lanza G, Jondral A, Moser R, Kübler L (2011) Erfolgsfaktoren beim Einsatz von Lean-Methoden. Prod Manage 16:36–39
Uygun Y, Keßler S, Stausberg JR (2009) Verbreitung Ganzheitlicher Produktionssysteme—Erkenntnisse aus einer deutschlandweiten Studie. wt Werkstattstechnik 3:136–140 (online)
Rivera L (2006) Inter-enterprise Cost–time profiling. Dissertation, Virginia Polytechnic Institute and State University
Maskell B, Baggaley B (2004) Practical lean accounting: a proven system for measuring and managing the lean enterprise. Productivity Press, Portland
Feldmann M (2009) Lean cost management: Auswirkungen von Lean-Maßnahmen erfassen. Industrie Anzeiger 43:20–22
Sobczyk T, Koch T (2008) A method for measuring operational and financial performance of a production value stream. In: Koch T (ed) Lean business systems and beyond. Springer, Berlin, pp 151–163
Detty RB, Yingling JC (2000) Quantifying benefits of conversion to lean manufacturing with discrete event simulation: a case study. Int J Prod Res 38(2):429–445
Al-Aomar R (2011) Handling multi-lean measures with simulation and simulated annealing. J Franklin Inst 348(7):1506–1522
Abdulmalek FA, Rajgopal J (2007) Analyzing the benefits of lean manufacturing and value stream mapping via simulation: a process sector case study. Int J Prod Econ 107:223–236
Peter K, Lanza G (2011) Company-specific quantitative evaluation of lean production methods. Prod Eng Res Dev 5:81–87
Rivera L, Chen FF (2007) Measuring the impact of Lean tools on the Cost–time investment of a product using Cost–time profiles. Robot Comput Integr Manufact 23:684–689
VDI-3633(2000) Simulation von Logistik-, Materialfluss- und Produktionssystemen—Grundlagen. VDI-Richtlinien 3633 paper 1
Jorgensen F, Mathiessen R, Niessen J, Johansen J (2007) Lean maturity, lean sustainability. In: Olhager J, Persson F (eds) Advances in production management systems, IFIP International Federation for Information Processing, vol 246. Springer, Boston, pp 371–378
Lanza G, Jondral A, Book J (2011) Capability assessment and valuation of the implementation of lean production methods in turbulent environments. In: ElMaraghy H (ed) Enabling manufacturing competitiveness and economic sustainability. Springer, Berlin, pp 524–529
Christiansen S (2010) Methode zur Klassifikation und Entwicklung reifegradbasierter Leistungsbewertungs- und Leistungssteigerungsmodelle. Dissertation, Universität Paderborn
Nightingdale D, Mize J (2002) Development of a lean enterprise transformation maturity model. Inform Knowl Syst Manage 3:15–30
Fooks JH (1993) Profiles for performance—total quality methods for reducing cycle time. Addison-Wesley, Reading
Acknowledgments
We extend our sincere thanks to the Deutsche Forschungsgemeinschaft (German Research Foundation) for supporting this research project LA 2351/6-1 “Quantitative Analyse stochastischer Einflüsse auf die Leistungsfähigkeit von Produktionssystemen mittels analytischer und simulativer Modellierung” (“Quantitative Analysis of Stochastic Influences on the Performance of Production Systems with the help of Analytical and Simulative Modelling”).
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Lanza, G., Jondral, A. & Drotleff, U. Valuation of increased production system performance by integrated production systems. Prod. Eng. Res. Devel. 6, 79–87 (2012). https://doi.org/10.1007/s11740-011-0359-1
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DOI: https://doi.org/10.1007/s11740-011-0359-1