Guide
How do you reduce rework and repeat work orders?
Quick answer
Reduce rework by tracking repeat work orders as defects, running root-cause analysis on the highest-cost offenders, standardising shift handovers so context is not lost, and defining and inspecting the finished-job standard so work is done right the first time.
Rework is effort paid for twice: callbacks that did not hold, product reprocessed, and work undone in handovers. It is some of the most recoverable cost in a plant because it is already visible in the data as repeat jobs.
Step by step
- Track repeat work ordersIdentify jobs raised more than once against the same asset and failure mode, and treat each as a defect to eliminate rather than a routine repair.
- Root-cause the worst offendersRun root-cause analysis on the highest-cost repeat failures and verify the corrective action actually held.
- Standardise shift handoverUse a consistent handover so context, open jobs, and risks pass cleanly between shifts instead of being dropped.
- Define the finished-job standardMake clear what a completed job looks like and inspect against it, so jobs are not closed before they are truly finished.
Common pitfalls
- Closing jobs under pressure before they are genuinely complete.
- Fixing symptoms repeatedly instead of the root cause.
- Losing context in weak shift handovers.
Frequently asked questions
Where is the quickest rework win?
Usually the top few repeat work orders by cost. They are already in your data, and eliminating them removes cost you are currently paying again and again.
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