OEE Definition & Implementation Review
Why this OEE definition Review
The ‘OEE definition’ means: the way the underlying parameters of the OEE are being defined. The OEE definition heavily determines the effect on the improvement process: in other words, on the result.
A wrongly defined OEE may lead to multiple hidden losses and even wrong behavior of those who could- and should eliminate the losses.
This definition study will lead to an optimal defined and configured OEE.
When to review your OEE definition (your OEE configuration) ?
Preferably, the definition study is performed at the beginning of the OEE implementation.
However you may also seriously improve your current implementation by modifying the previously used definitions, e.g.:
Standardizing corporate/multi factory definitions
The Result we Guarantee:
Since we also maintain the international OEE Industry Standard, we will provide a guaranteed future proof set of definitions: ALL effectiveness losses wil become visible:
- Optimal OEE for the Shopfloor
- Optimal OOE for the Operations Management
- Optimal TEEP for the factory/Site management
- Solid foundation for Improvement activities
- Solid foundation for Daily Management activities
This course fits seamlesly in our other OEE- and improvement courses
For Whom is it?
- Your organization wants to implement OEE and needs expertise how to configure OEE in the best possible way
- Your organization already implemented OEE and wants review the way it has been done
- Your organisations want to find ways to get a better insight in the improvement potential of the equipment
- Your organisation wants to use OEE to make better OPEX and CAPEX descisions
- You can spent a couple of days to work focussed: for the OEE responsible or for a small team of engaged persons
- You are/have a ‘facilitator’ that can guide the team.
- You are willing to learn and to improve.
- You appriciate the help- and backup of an expert to help you through the process.
What will you learn?
- What are the relevant questions when reviewing OEE
- How to find the relevant data/information to answer
- Where are the deficits in knowledge about the current situation
You will also learn
- how to validate and interpret the answers gathered
- what are the potential improvements to the current metric implementation (or confirms its optimal correctness)
- Its usefulness for steering improvement
- Its usefulness for helping with allocation decisions
- Its usefulness for helping with CAPEX decisions)
What problem will it solve?
- Your metric is not giving insight in the real hidden potential of your equipment
- Your employees and or managment is afraid to make visible where the improvement potential is hidden
- Different people have different opinions on how to use the metric
- The use of your metric is not leading to improvement
- Maintaining the metric is complex, time consuming, frustrating
- The metric has become an IT or management toy.
The 6 Results you will achieve
Having a defintion set
- that allow several parties in the manufacturing environment to have each a relevant metric, based on the same undelyingng data and definitions
- That will reveal ALL effectiveness losses
- That is understandable and making sense to ALL users
- That is scalable and reusable on multiple machines
- Can be translated into its finacial components
- provides a company wide standard
What you may and may not do with this course
All material on this site and in the course is the copyright of Arno Koch. You may use the course to analyze and optimize one process, in order to learn how Makigami works and how powerful it is.
However, taking this course does not allow you to:
- copy any of the content
- modify and/or reuse the content
- (re)distribute the content
without previous written consent of the autor.