manage maintenance orders as a result of machine breakdowns
optimize proactive and predictive maintenance planning
Our Maintenance module allows you to:
link maintenance data with production data and integrate maintenance planning with production planning
allocate maintenance costs to specific equipment and departments
manage specific maintenance KPIs: MTBF (mean time between failures) and MTTR (mean time to repair)
Which equipment needs maintenance and when?
Our OEE tool can answer some crucial questions:
What is the real situation?
Often maintenance and production have a very different idea about the number of breakdowns and their impact. A good OEE tool will clearly demonstrate the real availability of the equipment.
What are the real causes of the downtimes?
A DTM (downtime management) allows to generate a Pareto analysis of the downtimes, clearly illustrating the most important downtime causes. Frequent short downtimes can have a bigger impact than a few long downtimes.
What about preventive maintenance?
Often operators "feel" when something is wrong with their equipment, without clearly being able to identify what. By combining condition monitoring of an equipment (vibration measurement, power consumption, temperature, etc.) with downtime data, trends can be detected. This makes it possible to predict and avoid problems.
This email address is being protected from spambots. You need JavaScript enabled to view it.
+32 16 229 814
Persilstraat 51 G 7
3020 Herent
Belgium
ABOUT CREONIS
Originated as a spin-out of an international brewery group in 2006, Creonis today serves clients in the food and beverage industry, the pharmaceutical industry and the hospital sector. Our mission is to combine both software and business knowledge to give them clear insight into their operational process indicators. In mutual trust.