Manufacturing
Assembly and process lines where the shift report has been a total and a comment for as long as anyone can remember.
Automatic Counting • Stop Reasons • Loss Analysis • Shift Reporting • UAE
Every plant has a line everybody knows is underperforming, and every plant has three confident and incompatible explanations for why. Maintenance says it is the operators, operations says it is breakdowns, and planning says it is changeovers. The shift report records total output and a hand-written note about the afternoon, which is enough to sustain all three theories indefinitely.
Downtime monitoring replaces the theories with a record. The line counts itself, every stop longer than a few seconds is captured automatically, and the operator attributes a reason to it from a short list. Within a couple of weeks the losses are ranked by the hours they actually cost, and the argument is over — usually with an answer nobody had put first.
Nothing inside the machines is changed. The monitoring sits alongside them and reads, taking signals from the PLC where there is one and from a sensor where there is not, and the operator adds the one thing a sensor cannot: the reason.
The counting is automatic; the reason is not. That division of labour is what makes the data both accurate and meaningful.
Keep the reason list short and written in the operators' own words. A list of forty options is a list that gets scrolled past, and the reason chosen becomes whichever one is at the top.
Far less than most people expect. The machines already know almost everything the system needs.
A run contact, a fault output and a count pulse are usually available from an existing PLC or starter, and taking them costs a few terminals. Where a machine offers nothing, a photocell on the product stream and a current sensor on the motor will establish running and counting without touching the machine's own controls at all.
Mounted where the stop happens, not in an office. Stops appear on it as they occur, unattributed ones queue up, and a reason is two taps away. If naming a stop takes longer than clearing it, the data will be attributed to whatever is quickest rather than to what happened.
OEE split into its three components, because the composite number on its own tells you that the line is at sixty-one per cent and nothing about what to do. The useful output is the ranked loss list underneath it: which reason, how many hours, on which shift.
A shift handover report and a weekly loss summary, produced automatically and formatted for the meeting that already happens. A system that requires a new meeting to be useful tends not to survive its first busy month.
The technical work is straightforward. The part that decides whether it succeeds is getting the shop floor to trust what it says.
How long a pause has to last before it counts, what the ideal cycle rate is, and the short list of reasons — written with the operators and in their language. Definitions imposed from an office produce numbers the floor disputes, and disputed numbers change nothing.
Count and state from the existing controls where possible, sensors where not. Nothing is changed inside the machines; the monitoring sits alongside them and reads.
Data collected and shown to the line, with the explicit understanding that nobody is being measured yet. This is when miscounts and misattributions get found and fixed, and it is when the shop floor decides whether the system is a tool or a stick.
The ranked list is worked from the top, one loss at a time, and the effect is visible in the same numbers. Doing this once in public is what makes the system permanent — everybody sees a change they made move the figure.
A monitoring system introduced as a performance-management tool measures how well operators can defeat a monitoring system.
Which losses actually cost hours, ranked, rather than which ones are most visible or most recently complained about.
Whether the problem is breakdowns, minor stops, changeovers or speed loss — four different problems that a single output figure hides.
How the same line performs across shifts and products, which is often where the largest and least discussed variation sits.
Whether an improvement worked, measured on the same basis as before it.
A defensible baseline for capacity planning, so a decision about buying another machine starts from the real number.
Assembly and process lines where the shift report has been a total and a comment for as long as anyone can remember.
High-speed packing lines that lose most of their capacity to short, frequent stops nobody logs individually because each one is trivial.
Cells with a fixed takt time, where a small persistent loss compounds across a shift and shows up as a shortfall against plan.
That depends entirely on how it is introduced. A system presented as a way of proving which machine keeps letting the shift down gets cooperation; one presented as a way of seeing who is slow does not, and it will produce data to match. The two-week period with no targets attached exists for exactly this reason, and skipping it is the most reliable way to make the project fail.
No. The signals are read from what the machines already produce — a run contact, a fault relay, a count pulse — or picked up by sensors mounted on the outside. Nothing is changed inside a machine's own controls, which also means no supplier warranty is affected and no machine has to be re-proved.
The composite number is often less useful than its parts, and on some lines it is actively misleading — a line deliberately run below capacity to match demand will score poorly while doing exactly what it should. The ranked downtime list is valuable on almost any line; the single OEE figure is worth reporting only where somebody will act on it.
A survey of the available signals, a reason list agreed with your operators, and two weeks of data before anyone sets a target.