Process Mining in Production

Advantages & Potential

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Process Mining in Production – with process.science

Manufacturing companies have to overcome a wide range of challenges in order to remain competitive. The risk of supply chains being disrupted has increased significantly due to increasing globalisation. At the same time, rising raw material prices and personnel costs are leading to increased cost pressure. Strict regulatory requirements in the areas of environmental protection and occupational safety represent further cost hurdles that need to be overcome.

The growing challenges make process mining in the area of production essential. With the powerful solutions from process.science for Microsoft Power BI and Qlik Sense, manufacturing companies can analyze processes in a data-driven way, uncover inefficiencies and derive targeted improvement measures. Our Process Mining solutions for production enable continuous process optimization, which allows you to develop in a sustainable way.

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Advantages of Process Mining in production

Process Mining is an innovative technology at the interface between data science and process management. The process enables companies to analyze and optimize their real-life processes on the basis of data. Process Mining involves using digital traces – so-called event logs – for process optimization. Event logs contain information about which activities were carried out when, by whom and in what context. Process Mining tools use these event logs to reconstruct the actual process in the form of a process model. This gives companies an insight into all the real process variants and deviations, which in turn allows them to uncover inefficiencies, bottlenecks and compliance violations.

Production processes are often scattered across different systems and locations. This makes it difficult to grasp these processes – this lack of transparency has so far been an obstacle to recognizing optimization potential. This is precisely why Process Mining holds enormous potential for production. The solutions from process.science bring together the scattered process data and enable holistic end-to-end monitoring. As a company, you can analyze process flows from order acceptance to delivery, identify weaknesses and increase efficiency – with the intuitive dashboards from Power BI and Qlik Sense, you always have an overview of process performance.

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Realising the potential of Process Mining in production

One of the greatest strengths of our Process Mining solutions for production is the creation of comprehensive transparency. Tools for Power BI and Qlik Sense combine data from various sources such as ERP, MES or SCADA, thus enabling a complete view of the production processes. Dependencies and interactions between individual process steps become visible. This holistic transparency forms the basis for effective process analysis and targeted production process optimizations.

The detection of weak points and inefficiencies in production is particularly important here. The interactive process models from process.science also map complex production processes in detail, which allows you to identify delays in the flow of materials, machine failures or quality problems. Eliminating the latter is of crucial importance in production, because quality problems lead to rejects, rework and customer complaints. With Process Mining for production from process.science, companies can identify the causes of quality defects through comprehensive quality control in manufacturing. The analysis of quality data provides insights into relationships, which can be used to identify systemic errors. This enables companies to take targeted countermeasures and sustainably improve product quality.

Our solutions also provide valuable insights in the area of plant productivity in order to identify the causes of quality defects through comprehensive analyses. Here, Process Mining for production helps to identify downtime, cycle time deviations or setup times. For example, you can optimize plant productivity by improving setup processes or maintenance planning. Forward-looking planning can also increase energy efficiency in production.

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Our Process Mining tools display for every step in realtime, where outliers currently occur, to correct them before they establish. Improve lead times, costs and quality. Reduce commercial risks through process optimization.

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Process Mining in Production – Various Use Cases

Our Process Mining offers a wide range of applications in production to optimize processes, eliminate inefficiencies and increase the competitiveness of manufacturing companies.

Improving production planning and control

With the tools for Power BI and Qlik Sense, process.science creates transparency in production processes, enabling improved production planning and control, which can help to reduce production costs. By analysing historical process data, you can identify patterns and relationships that provide information about the plannability and stability of production. In addition, you can make production utilisation more precise and reliable with the help of an analysis. Process Mining can also be used to detect deviations in production at an early stage.

Optimisation of set-up times

In many production plants, set-up times are a key factor in overall equipment effectiveness (OEE). With the help of our Process Mining, set-up processes can be analysed and optimised in detail. By evaluating set-up data in Power BI or Qlik Sense, deviations from standard processes and best practices become visible. Process Mining enables companies to identify starting points for production to shorten set-up times – for example, through standardised workflows or improved tools.

Predictive Maintenance

Process Mining can also make a valuable contribution to predictive maintenance. By linking sensor data, machine status and process data in Power BI or Qlik Sense, impending failures can be recognised at an early stage. This allows you to identify maintenance-intensive components and optimise maintenance strategies. Preventive maintenance can help to avoid unplanned downtime and increase production availability.
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Implementing Process Mining in Production – with process.science

Process Mining offers a wide range of advantages for production. In addition to the applications mentioned, Process Mining also offers other possibilities, such as warehouse management analysis – improvements can also be identified in the area of occupational safety. Analyses are essential for optimizing production processes – yet many companies hesitate to purchase a Process Mining solution. The reason for this is the often complex implementation.

At process.science, we offer an intuitive solution with easy-to-integrate tools. Our software can be seamlessly integrated into leading business intelligence solutions such as Microsoft Power BI and Qlik Sense. Your advantage: With our Process Mining for production, you do not need any separate software and can start your process analysis immediately – in your familiar BI environment. We place the highest value on data security and integrity. You are the only one with access to your data; no data is transmitted to us. Whether on-premise or in the cloud, your data is in safe hands with us.

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