Factory managers are surrounded by numbers but often short of insight. Dozens of reports arrive daily and monthly, yet it's hard to answer simple questions: are we getting better? Where are we losing money? Which problems need attention today? A focused set of manufacturing KPIs, clearly defined and reviewed in regular routines, turns data into decisions.
A balanced framework: SQDCP
Many factories organise KPIs into five categories — Safety, Quality, Delivery, Cost and People. This ensures that improving one area doesn't come at the expense of another.
Safety KPIs
- Lost time injuries and frequency rate.
- Near misses reported: more reporting is often a good sign.
- Safety actions closed on time.
Quality KPIs
- First pass yield (FPY): share of units passing all operations without rework or scrap.
- Scrap and rework cost: as a percentage of production cost.
- Customer complaints and PPM: defective parts per million delivered.
- Supplier quality: incoming rejection rate.
Delivery KPIs
- On-time in-full (OTIF): orders delivered complete on the promised date.
- Schedule adherence: planned production completed as scheduled.
- Manufacturing lead time: from job release to completion.
- Backlog of overdue orders.
Cost and productivity KPIs
- OEE: especially on bottleneck machines. See what is OEE.
- Labour productivity: output per labour hour.
- Cost per unit: by product family.
- Inventory turns and days of inventory: raw material, WIP and finished goods.
- Energy per unit. See energy monitoring.
- Maintenance: breakdown hours, MTBF, MTTR, PM compliance.
People KPIs
- Absenteeism and attrition.
- Training hours and skill coverage. See skill matrix.
- Improvement suggestions implemented.
Leading and lagging indicators
Lagging indicators — OTIF, complaints, cost per unit — show results after the fact. Leading indicators — PM compliance, first-off approval rate, schedule adherence, training completion — predict future results. A good KPI set includes both, so managers can act before results suffer.
Defining KPIs clearly
Every KPI needs a written definition: formula, data source, frequency, owner and target. "On-time delivery" can mean the customer's requested date, the confirmed date or the dispatch date; differences in definition cause endless debate. Agree definitions once and use them everywhere.
Cascading KPIs
Plant-level KPIs should connect to team-level measures. Plant OTIF depends on schedule adherence by area; plant OEE depends on OEE by machine; plant scrap cost depends on scrap by line. Teams track the measures they can influence directly, and those roll up to plant results. See tier meetings.
Review routines
- Shift and daily: output, OEE, scrap, safety, issues — at tier meetings.
- Weekly: trends, top losses, action progress.
- Monthly: plant performance, cost, strategic measures, improvement priorities.
Reliable data
KPIs built on manually collected data are slow and often disputed. Capturing production, downtime, quality and labour data at source — on tablets and from machines — makes KPIs timely and trusted. Periodic audits of data quality keep them reliable.
Targets and benchmarks
Set targets from your own baseline first, then from customer requirements and realistic improvement rates. Industry benchmarks can inspire but are often defined differently; comparing your trend over time is usually more meaningful than comparing with another company's headline figure.
An example: focusing a plant
A plant manager at a mid-sized engineering company received over forty reports monthly. With the leadership team, they agreed twelve plant KPIs across SQDCP, wrote definitions and connected them to team-level measures. Production, downtime and quality data moved to shop floor tablets, and dashboards updated automatically. Monthly reviews shifted from debating numbers to agreeing actions on the few red KPIs. Over the year, OTIF and FPY improved steadily as attention focused on what mattered.
Getting started
List the KPIs you currently report, remove those nobody acts on and fill gaps in the SQDCP categories. Write definitions and owners for each, connect them to team measures and build them into daily, weekly and monthly reviews.
Common mistakes
- Too many KPIs, so none get attention.
- No definitions, causing arguments about numbers.
- Only lagging indicators.
- KPIs without owners or targets.
- Manual data preparation delaying reports.
How software helps
MES and shop floor software capture data at source and calculate KPIs automatically, with dashboards by role, drill-down to details and trends over time. See MES software.
Talk to us about KPI dashboards for your factory.
A sample plant KPI set
| Category | KPI | Review |
|---|---|---|
| Safety | Lost time injuries; near misses reported | Daily / monthly |
| Quality | First pass yield; customer PPM; scrap cost % | Daily / weekly |
| Delivery | OTIF; schedule adherence; overdue backlog | Daily / weekly |
| Cost | OEE on bottlenecks; cost per unit; inventory days | Daily / monthly |
| Maintenance | Breakdown hours; PM compliance | Weekly |
| People | Absenteeism; skill coverage on critical machines | Weekly / monthly |
Adapt the set to your strategy: a make-to-order job shop may weight lead time and quotation turnaround more heavily; a high-volume plant may focus on OEE and cost per unit.
Avoiding KPI side effects
Every KPI can be gamed. Output targets without quality measures encourage passing on defects; OEE targets can lead to running long batches that build excess inventory. Pairing measures — output with first pass yield, OEE with inventory days — and discussing them together keeps behaviour balanced.
Frequently asked questions
How many KPIs should a factory track?
A balanced set of around ten to fifteen at plant level, with fewer at each team level. More than that dilutes attention.
Which KPI is most important?
It depends on your strategy and problems, but on-time delivery, quality and OEE on bottlenecks are critical for most manufacturers.
How often should KPIs be reviewed?
Shift and daily for operational KPIs, weekly for trends, monthly for strategic measures.
Should KPIs have targets?
Yes. Targets give meaning to numbers. Set them based on baseline, customer requirements and realistic improvement.
How do we ensure KPI data is reliable?
Capture data at source automatically where possible, define calculations clearly and audit data periodically.
