(And Why You Need More Than One Metric to See the Truth)
Productivity. It sounds simple — output over input, right?
But in ISO-certified, Lean-focused operations, that’s only part of the story.
What if your team worked efficiently… and still didn’t meet customer demand?
Or your output rose… but your system became less responsive?
That’s where Traditional Productivity and Relative Productivity come into play — and where smart teams learn to track both.
The Two Types of Productivity That Matter
Let’s break them down:
Traditional Productivity
The classic efficiency formula:
Productivity = Output ÷ Input
- Output: tons, units, widgets
- Input: time, labor, cost, machine hours
Good for:
- Labor efficiency
- Machine utilization
- OEE (Overall Equipment Effectiveness)
- Budget planning
Example:
Your team produced 35 tons in 10 hours = 3.5 tons/hour.
That’s your traditional productivity rate — and it shows how much work you squeezed out of your time or resources.
Relative (Lean) Productivity
The “are we meeting demand?” formula:
Productivity % = Actual Output ÷ Target Output × 100
- Tells you if you’re fulfilling customer expectations
- Ties directly to takt time and throughput needs
Example:
Customer demand = 40 tons
You produced = 35 tons
Productivity % = 87.5%
That’s your relative productivity — and it tells you how aligned your system is with what the market needs.
Why You Need Both Metrics — Not Just One
Imagine this:
- Your team runs smoother (3.5 tons/hour).
- But you still miss the delivery deadline.
- Why? Because customer demand increased — and your system didn’t.
That’s the blind spot of only using traditional metrics.
Relative productivity shows:
- How close you came to takt time
- Where the real constraint lies
- When “efficient” isn’t “effective”
Real-World Example (From Your Scenario)
Scenario:
- Shift time: 480 min
- Customer demand: 40 tons
- Actual time worked: 600 min
- Actual output: 35 tons
Takt Time = 480 ÷ 40 = 12 min/ton
You needed to produce 1 ton every 12 minutes.
Cycle Time = 600 ÷ 35 ≈ 17.14 min/ton
You were producing 1 ton every 17.14 minutes — slower than needed.
Traditional Productivity = 35 ÷ 10 hrs = 3.5 tons/hour
Not bad — but not aligned with the takt.
Relative Productivity = 35 ÷ 40 = 87.5%
You fell short of the goal — even with 2 extra hours.
How to Track Both in Your KPI Dashboards
Use a simple spreadsheet or dashboard tool with these KPIs:
- Traditional Productivity (tons/hour or units/labor)
- Relative Productivity (% of demand met)
- Cycle Time vs. Takt Time gap
- Output per shift vs. target
Visual tip: Use combo charts:
- Bar = output vs. target
- Line = tons/hour or productivity %
When to Use Each Metric
| Metric Type | Use For | Pitfall |
|---|---|---|
| Traditional | Internal efficiency, budgeting, labor analysis | Can hide underperformance vs. customer demand |
| Relative | Demand fulfillment, takt alignment, Lean KPIs | Doesn’t show root causes (why output was low) |
The smart move? Use them together.
What to Do When Productivity Metrics Conflict
- High traditional + low relative? → You’re efficient… at the wrong thing. Rethink takt and capacity.
- Low traditional + high relative? → You’re meeting goals, but inefficiently. Fix processes.
- Both low? → Dig into bottlenecks, staffing, equipment, and process waste.
Final Takeaway
Efficiency is how well you run.
Effectiveness is whether you meet the goal.
You need both to manage a world-class QMS.
By understanding the full productivity picture, your team can:
- Align better with customer expectations
- Target real improvement opportunities
- Build dashboards that drive decisions — not just data
Ready to Build Metrics That Matter?
Let’s build performance dashboards that blend Lean logic with ISO compliance — and actually help your team act.
Email: eduardo.galindez@qmsoutsourcing.com
Contact: qmsoutsourcing.com/contact-us
#QMS #ISO9001 #Productivity #KPI #LeanManufacturing #TaktTime #CycleTime #DataDrivenDecisions

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