Unplanned machine downtime is a major problem for manufacturing companies: just a few minutes of downtime can cause costs amounting to several thousand euros and disrupt the entire production planning. Particularly in industries such as automotive, mechanical engineering or pharmaceuticals, where precision and efficiency are crucial, downtimes can quickly lead to considerable economic damage.
Challenge: recognizing machine downtimes before they occur
Traditionally, production managers have relied on manual checks and historical data to identify problems. However, this often leads to deviations being detected too late. In many plants, this still happens analogously, which extends response times and causes unforeseen production downtime.
Solution: Real-time process data monitoring with IPM
The solution lies in the consistent use of process data in real time. IPM process data management makes it possible to continuously record and analyze machine and production data and to react automatically to deviations. Even the smallest deviations are detected before they lead to production downtimes. This makes production not only more efficient, but also more predictable.
Advantages for companies:
Early problem identification: IPM detects deviations immediately and enables proactive measures to be taken.
Reduction in unplanned downtime: Companies save costs and avoid production losses.
Increased productivity: Employees can concentrate on value-adding activities instead of managing downtime.
Sustainable process optimization: Data-based analyses support continuous improvements.
Facts at a glance:
Unplanned machine downtime can increase production costs by several thousand euros per minute.
According to studies, companies can reduce their downtimes by up to 30-50% through real-time monitoring.
Process data management makes a decisive contribution to ensuring competitiveness in the age of Industry 4.0.
IPM: The solution for future-proof production
With IPM, CSP GmbH & Co. KG offers a professional software solution that monitors production data in real time, detects deviations and acts as an early warning system. Manufacturing companies can thus minimize downtimes, increase productivity and sustainably optimize their production processes.
More information at www.csp-ipm.de
Challenge: recognizing machine downtimes before they occur
Traditionally, production managers have relied on manual checks and historical data to identify problems. However, this often leads to deviations being detected too late. In many plants, this still happens analogously, which extends response times and causes unforeseen production downtime.
Solution: Real-time process data monitoring with IPM
The solution lies in the consistent use of process data in real time. IPM process data management makes it possible to continuously record and analyze machine and production data and to react automatically to deviations. Even the smallest deviations are detected before they lead to production downtimes. This makes production not only more efficient, but also more predictable.
Advantages for companies:
Early problem identification: IPM detects deviations immediately and enables proactive measures to be taken.
Reduction in unplanned downtime: Companies save costs and avoid production losses.
Increased productivity: Employees can concentrate on value-adding activities instead of managing downtime.
Sustainable process optimization: Data-based analyses support continuous improvements.
Facts at a glance:
Unplanned machine downtime can increase production costs by several thousand euros per minute.
According to studies, companies can reduce their downtimes by up to 30-50% through real-time monitoring.
Process data management makes a decisive contribution to ensuring competitiveness in the age of Industry 4.0.
IPM: The solution for future-proof production
With IPM, CSP GmbH & Co. KG offers a professional software solution that monitors production data in real time, detects deviations and acts as an early warning system. Manufacturing companies can thus minimize downtimes, increase productivity and sustainably optimize their production processes.
More information at www.csp-ipm.de
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