The integration of customers in service processes leads to interruptions in the processing of customer orders. To still enable an efficient delivery, we propose a new approach combining ideas of process mining and statistical methods. The aim of the paper is to identify patterns of customer integration within event logs of a service process and to make the impact of these patterns on the processing time more transparent and predictable. The approach will be applied to a quantitative case study using a financial service process as an example. The results provide the opportunity for identifying adequate steps for improving the control of service processes. © 2012 Springer-Verlag.
CITATION STYLE
Leyer, M., & Moormann, J. (2012). Combining process mining and statistical methods to evaluate customer integration in service processes. In Lecture Notes in Business Information Processing (Vol. 99 LNBIP, pp. 147–152). Springer Verlag. https://doi.org/10.1007/978-3-642-28108-2_14
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