
Lean Six Sigma Refresher
Process measurement in Lean Six Sigma is about quantifying how a process currently performs, establishing a baseline, and identifying gaps against customer expectations.
It’s the second step in the DMAIC cycle (Measure phase) and sets the stage for data‑driven improvement.
📊 What is Process Measurement?
Definition: The systematic collection and analysis of data to understand process capability, variation, and performance.
Purpose: To move from assumptions to facts—ensuring improvements are based on evidence, not intuition.
Role in DMAIC: Provides the “current state” picture before root cause analysis and solution design.
🧰 Key Elements of Process Measurement
Baseline Metrics: Establish current performance levels (e.g., defect rate, cycle time, cost per unit).
Critical to Quality (CTQ) Parameters: Derived from customer needs, these define what must be measured.
Data Collection Plan: Specifies what data to collect, how, when, and by whom to ensure reliability.
Measurement System Analysis (MSA): Validates that the data collection tools and methods are accurate and consistent.
Process Capability Analysis: Uses statistics (Cp, Cpk) to determine how well a process meets specifications.
Visualization Tools: Histograms, Pareto charts, scatter plots, and control charts to reveal variation and trends.
⚡ Why Process Measurement Matters
Objectivity: Replaces opinions with hard data.
Focus: Identifies the biggest contributors to problems (Pareto principle).
Customer Alignment: Ensures measurement reflects what customers value most.
Foundation for Analysis: Without accurate measurement, later phases risk solving the wrong problem.
🛠 Example in Practice
Imagine a hospital measuring patient wait times:
Baseline metric: Average wait = 45 minutes.
CTQ requirement: Patients expect ≤ 20 minutes.
Data collection plan: Track wait times at registration desks for 2 weeks.
MSA: Ensure timestamps are recorded consistently.
Capability analysis: Show current process cannot meet CTQ, justifying improvement efforts.
🔑 Takeaway
Process measurement is the bridge between defining a problem and analyzing its causes. It equips practitioners with reliable data, validates assumptions, and ensures improvements are targeted where they matter most.