Production Analysis

Data can be used in many ways and we are also using data for getting more insight about users. We easily log your data and use it for generating production statistics. After the collection, we aggregate statistics by using our module. The usage of modules is quite easy as one can define aggregate by a couple of clicks. Many things should be considered for defining aggregate:

  • Batches
  • Products
  • Shifts
  • Time intervals (hours, days, weeks, etc.)

Nowadays, all the manufacturing industries have a basic need to collect live production data to get more insight into data. By analyzing data, one can identify the patterns and reduce the cause of the error, resulting in increased productivity. If one wants to implement such kind of system, he has to collect and analyze production data. The collection should be fast and accurate for identifying patterns. Once you have identified the cause of the error and find a solution for this at the right time, which could enhance productivity.

There are many instances when we could not find the expected product due to dense circumstances for example unavoidable scheduled production downtimes (due to absence of staff or ongoing maintenance) or unscheduled downtimes (due to unexpected system failure or malfunctioning) or an increase the rejection. These kinds of problems occur because of a lack of machine efficiency that generally is measured by using the OEE metrics (Overall Equipment Effectiveness). If you do not get proper attention to this problem it might be a chance that you will find the problem called "equipment-related losses" (losses related to equipment).

One should take care of 3 components to obtain the equipment-related losses:

  • Availability: losses due to downtimes
  • Quality: losses due to process defects
  • Performance: losses due to slack productivity

The listed components are the main causes of production loss and unexpected downtimes that are caused by failure. There are many chances to occur such kind of failures such as Set up, change of production, scheduled maintenance, meetings, holidays, strikes, etc. If one wants to reduce unclassified clauses, he should use the operation discretion machinery. While others can solve the problems directly and automatically.