Process mining in the door factory
With the real-time analyses generated - including in the areas of system performance, master data,…
success story
Process mining to optimize order processing
Optimization of order clarification and operational purchasing processes
Process Mining was used to create a digital image of the processes in the Krones LCS (Lifecycle Service). The order processing and operational purchasing processes were analyzed in detail. The findings are used both in process design and in operational business. In addition, various automation potentials were identified, which were developed in a follow-up project.
In Rothbaum, we have found a partner on an equal footing who implements sophisticated use cases and taps into potential.
Eberhard Semmelmann, Krones LCS Performance Network
KRONES AG
- Krones AG is a manufacturer of filling and packaging systems for the beverage industry, among others
- 16 thousand employees generate over EUR 3 billion in sales
- Customers around the world rely on Krones Lifecycle Service for spare parts and retrofits
Services
- Development of a process model in order processing (focus on order clarification) of Krones Lifecycle Service (LCS)
- Adjustments to the standard purchase-to-pay process model
- Carrying out analyses to determine optimization potentials
Results
- Identification of causes for delays in order processing so that the rework rate in this process could be reduced by up to 22%.
- Identification of an annual potential of 98,725 task steps that can be semi- or fully automated
Project description: Process optimization in operational purchasing at KRONES AG
An extensive database from the ERP system is available for the processes in order processing and operational purchasing. As process mining processes in plant engineering are often more complex than standard processes, Rothbaum was commissioned to develop two use cases in Krones Lifecycle Service. The aim of the project was to develop the specific process models and, based on them, an in-depth analysis of the process flows and to identify the potential for optimization.
Procedure
First, the Rothbaum consultants worked with the Krones analysts to gain an overview of the processes in the specialist departments by means of process walkthroughs. The specific data models were developed based on the standard order-to-cash and purchase-to-pay apps. The resulting analyses were used to identify potential for optimization and automation.
Results
Two use cases from the Krones Lifecycle Service were implemented with Celonis Process Mining.
As part of order processing, the analyses can be used, for example, to show the dependency of the clarification period on the basis of various parameters. This information is very helpful for planning new projects. Clarification steps that are not necessary in the respective context were also identified. These were eliminated in order to speed up order clarification. Further findings from the analyses help to optimize the basic process design.
In operational purchasing, the focus is on reducing the workload of personnel. To this end, 98,725 task steps were identified as having automation potential in a sub-area of operational purchasing.
Dr. Clemens Wolf
Head of Digital Operations
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