Discover the actual production process and analyse variations with process mining. Ensure process compliance by controlling for the required quality assurance checks at each individual product leaving the production line.
To begin with, process mining for manufacturing stabilises your production by preventing production stops, enable reliable planning and high-quality assurance. Altogether, gain real-time insights throughout the entire production and create robustness by process automation. In addition, predict incidental maintenance and irregularities to prevent unexpected delays and expensive late delivery fees. Also, ensure product quality with increased process conformance and reliable reporting for the best customer satisfaction.
For the most part, in order to keep warehousing costs to a minimum, customers order their materials just-in-time. Thus late deliveries cause major production delays and significant costs at the customer. As a result, premiums are paid for highly reliable on-time delivery. Therefore, a stable production process is vital. Failures to meet deadlines lead to expensive fees and a loss of reputation.
Moreover, the inflexibility of ERP systems has led to complex IT-landscapes and workarounds. As a result, production steps are captured in various systems and organisations lack transparency in their process. Thus suboptimal control leads to unexpected delays and malfunctions, making reliable planning increasingly complex. Furthermore, products completed either too late or too early, negatively impact customer satisfaction or warehouse capacity. In short, a lack of robustness makes reliable planning virtually impossible and significantly impacts profitability.
Save warehousing costs with stabilised output from production lines. Predict the throughput times of each product group and production plant and discover when each order must be produced to be Just In Time.
Find bottlenecks and inefficiencies to improve throughput times and robustness. Take control of unexpected production failures through the prediction of irregularities and required maintenance to avoid major claims.
Analyse the required resources at each step and prioritise automation opportunities. Use the Celonis platform for workflow automation, build business cases for digital or production robots and monitor their performance.