Exploding OEE Myths – Part 3

Exploding OEE myths is a way of just getting back to bare facts. Inevitably, various misconceptions and misinterpretations accumulate over a period of time. Sometimes it’s simply a misunderstanding, or sometimes it can be a little more cynical, when these myths are created by way of a smoke screen by production professionals who are reluctant to fully embrace the new OEE software.

The myths we consider in this article comes under the heading of Misconception.

Myth 9 – Automatic Data Capture means no Operator Involvement Needed

Whilst it is a fact that OEE software programs will capture the necessary data, that’s only the start of the OEE cycle. The complete cycle encompasses:

  • Data capture
  • Data analysis
  • Determining corrective measures
  • Implementing corrective measures
  • Monitoring improvement

An operator’s input and cooperation is a vital part of the chain of events; particularly in the determination and implementation stages. By inviting the operator into the study, you are helping him/her to embrace the process. It helps them to feel a part of what’s going on, which is crucial to successful change management.

Myth 10 – OEE Date Needs to be Captured Manually

This is true, but only up to a point. The only real benefit of capturing data manually is that it helps to get those involved in the data capture process to get their minds into the right mindset. There is a natural progression to analysing any production process:

  • 1st analysis picks up major fault(s)
  • Correct major fault(s)
  • 2nd  analysis highlights less significant fault(s)
  • Correct less significant fault(s)
  • 3rd analysis picks  up minor faults and so on

The more minor faults are the ones that are more difficult to capture manually, and this is when OEE’s automatic data capture come into its own right. Don’t forget too, that the minor issues still have a retrogressive impact on the efficiency of the production cycle. Even though some people may consider these faults to be less significant, and not worthy of manual capture, there is still money to be saved by correcting them. Automatic capture will ensure that they get looked at.

Myth 11 – We Measure the OEE Score but Tend to Ignore the Quality Element

Anyone making this statement has not really fully understood the complete OEE process. Quality is an intrinsic part of any OEE measurement. If a product’s quality is not up to specification, one of several things may happen.

  • Production yield will be lowered
  • Production targets will not be met
  • Clients will be let down
  • The manufacturer’s reputation will be damaged
  • Costs will escalate.

Availability, performance and quality are three important OEE factors and underpin the OEE scoring mechanism. Quality is a fundamental prerequisite of any production process. Without a quality check, or measurement, any OEE score will be invalid. There’s no point in increasing the production yield if in the process the quality drops and the number of usable products diminishes.

So, banish those OEE myths and contact us today to find out how Idhammar’s OEE software can benefit your business in more ways than one.