Operations Performance Management
To maintain or improve productivity in manufacturing, especially when there are complex processes combined with a team of individuals, possibly across multiple shifts, there is an absolute need for frequent and ongoing management. A lack of a habitual performance management will almost guarantee a steady decline in results.
- the accuracy of data (that identifies current losses)
- the level of focus (the amount of time spent understanding and formulating decisions)
- the quality of actions/fixes that are taken (that target resolution of the underlying losses)
Any approach that is under consideration also faces a common challenge to maximise limited resources, normally both people (time) and revenue (money) to achieve the optimum results.
A structured approach that can be used is; short interval control and tactical management (multiple events within a shift/day), Daily/24hrly tactical reviews, and Weekly/Fortnightly strategic reviews. The tactical reviews (up to 24hrs) focus on reacting to what is happening and ensuring that the team and engineers are focusing on the current biggest issues. The strategic reviews are about targeting continuous and incremental improvements, identifying trends and patterns and tackling root cause and cause of cause issues.
The approach outlined is very reliant on good quality data that is analysed in a specific way that ensures maximum understanding of losses and therefore likely potential solutions. The specific measures are:
1. Overall Equipment Effectiveness (OEE) and The Six big losses (Breakdowns, Planned downtime, Minor Stops, Speed, Quality in Process, Quality on Start up)
2. Machine downtime - split down by major stops and minor stops, Mean time between failure (MTBF) and individual equipment faults
3. Waste (quality losses) by machine area
NB. Note that when capturing data and losses on a production line, it is critical to measure OEE based on the critical (slowest) machine on the line. In a similar way, machine downtime is useful; however knowing the effect it has had on the critical machine is invaluable.
This data could be collected manually at the end of each shift and put into Excel (or similar), however the ultimate, is to have electronically collected pinpoint accurate data that is available in real time, from each machine. This data can then be analysed and displayed the on the shop floor, in team meeting rooms, in fact anywhere in the manufacturing facility.
Decisions and resource planning that lead to action that are based on good quality data will yield results, whereas if based on perception, there is not necessarily a link between action and performance improvement. When this approach is followed habitually, and built into the daily routine and the laid out practices executed to an excellent standard, combining this with utilising quality data and taking action on issues identified, resolving them in a timely way, performance maintenance and improvement is almost guaranteed.
One way this can be supported is by providing assistance with understanding how well the review structure is working. Auditing the meetings, reviews and outputs is one good way of doing this. When this auditing is done purely to check effectiveness and to learn, it can be a very powerful tool to assist the change journey.
The table below gives the overall Purpose, Objectives, minimum Standards and Measures of the various Operations Reviews:
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Mini Reviews within Shift |
Tactical Review within shift |
24 Hour review |
Weekly Strategic Review |
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| Purpose | Analyse data over a short timeframe to provide focus. | Analyse data since the last review to provide focus area until the next review. | Analyse data over the last 24 hours and provide focus for the next 24 hours. | Review the week’s performance of each line to identify improvement opportunities. |
| Objectives |
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| Minimum standards and measures |
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Click here to download the detailed pdf version of the Operations Peformance Reviews.





