Quality is the degree to which deliverables meet requirements ("fitness for use"). Grade is a category assigned to deliverables with the same functional use but different technical characteristics. Low quality is always a problem; low grade may be acceptable.
Quality Control (QC) vs. Quality Assurance (QA)
QC — Inspecting deliverables to ensure they meet standards (detective)
QA — Auditing processes to ensure they produce quality results (preventive)
Basic Quality Tools (7QC Tools)
Cause-and-Effect Diagram (Fishbone/Ishikawa) — Identifies root causes of a problem
Check Sheet — Structured data collection form
Control Chart — Monitors process stability over time
Histogram — Shows distribution of data
Pareto Chart — 80/20 rule — focuses on the most significant causes
Scatter Diagram — Shows relationship between two variables
Flowchart — Visual representation of a process
Benchmarking
Comparing project processes and performance metrics to industry best practices or similar projects. Helps identify areas for improvement and set realistic targets.
Total Quality Management (TQM)
A management approach focused on long-term success through customer satisfaction. Principles include customer focus, continuous improvement, employee empowerment, and data-driven decision making.
Total Productive Maintenance (TPM)
Maximizes equipment effectiveness by involving operators in maintenance. Key metrics: Overall Equipment Effectiveness (OEE) = Availability × Performance × Quality.
Case Study: Toyota's production system uses TQM and continuous improvement (Kaizen). By empowering every worker to stop the assembly line when they spot a defect, Toyota dramatically improved quality and reduced waste.
Practice Task: Select a recurring quality problem (e.g., delayed reports, software bugs). Create a Cause-and-Effect Diagram identifying at least 6 possible root causes. Build a Pareto Chart using hypothetical data showing the frequency of each cause. Propose QA process changes to prevent the top 2 causes.