This paper presents an approach for handling variability in production systems. A classification for variability which includes a differentiation in non-value adding and value adding variability is proposed and indicators for their quantification are derived. It is shown that classical Lean methods fail in make-to-order production because of the misconceived influence of value adding variability. Consequently, different approaches from Data Mining and Factory Physics are applied.
CITATION STYLE
Deuse, J., Heuser, C., Konrad, B., Lenze, D., Maschek, T., Wiegand, M., & Willats, P. (2018). Pushing the Limits of Lean Thinking–Design and Management of Complex Production Systems (pp. 335–342). https://doi.org/10.1007/978-3-319-58409-6_37
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