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Quality Control & Quality Assurance

Quality and its dimensions in construction; quality control vs quality assurance vs quality management; quality gurus — Deming (PDCA), Juran (trilogy), Crosby (zero defects), Ishikawa; total quality management; ISO 9001 quality management systems; quality assurance plan and inspection and test plans; seven basic QC tools; statistical quality control — control charts for variables and attributes, process capability, acceptance sampling; cost of quality; Six Sigma; quality control of concrete — target mean strength, sampling frequency and acceptance (IS 456/IS 10262); non-destructive tests — with worked examples.

📑 Contents (12 sections)

Last reviewed 16 Sept 2026 · 7 min read

Quality

Quality is conformance to requirements (Crosby) or fitness for use (Juran) — meeting the specified and implied needs of the owner and users.

In construction, quality includes conformance to drawings and specifications, durability, safety, functionality, aesthetics and maintainability.

QC, QA and quality management

Term Meaning
Quality control (QC) Operational techniques — inspection, testing, measurement — to verify that products meet requirements; product-oriented, detects defects
Quality assurance (QA) Planned and systematic activities (procedures, audits, documentation) to provide confidence that quality requirements will be met; process-oriented, prevents defects
Quality management Overall management function — quality policy, planning, QC, QA and improvement
Total quality management (TQM) Organisation-wide philosophy of continuous improvement with customer focus and involvement of all employees

Quality gurus

Contributor Key ideas
W. Edwards Deming PDCA (Plan–Do–Check–Act) cycle (Deming/Shewhart cycle); 14 points for management; reduce variation
Joseph M. Juran Quality trilogy — quality planning, quality control, quality improvement; "fitness for use"; Pareto principle applied to quality (vital few, trivial many)
Philip B. Crosby Zero defects; "quality is free"; conformance to requirements; cost of quality
Kaoru Ishikawa Cause-and-effect (fishbone) diagram; quality circles
Walter A. Shewhart Control charts; statistical process control
Armand Feigenbaum Total quality control; cost of quality
Genichi Taguchi Loss function; robust design

ISO 9001

  • ISO 9001 specifies requirements for a quality management system (QMS); the current edition is ISO 9001:2015 (as of the update date of these notes).
  • Principles include customer focus, leadership, engagement of people, process approach, improvement, evidence-based decision making, relationship management; the 2015 edition emphasises risk-based thinking.
  • Certification is by accredited third-party bodies.

Quality planning in construction projects

  • Quality assurance plan (QAP) — scope, organisation and responsibilities, procedures, standards, testing frequencies, documentation.
  • Inspection and test plan (ITP) — for each activity: what to inspect/test, method, frequency, acceptance criteria, hold points (work cannot proceed until inspected) and witness points.
  • Method statements, checklists, material approvals (samples, mill certificates), field laboratory, third-party quality audits, non-conformance reports (NCR) and corrective/preventive actions.

Seven basic quality control tools

  1. Check sheet — structured data collection.
  2. Histogram — frequency distribution of data.
  3. Pareto chart — defects ranked by frequency — about 80% of problems from 20% of causes.
  4. Cause-and-effect (Ishikawa/fishbone) diagram — causes grouped (e.g. man, machine, material, method, measurement, environment).
  5. Scatter diagram — relationship between two variables.
  6. Control chart — process variation over time.
  7. Stratification (or flow chart in some lists) — separating data by source.

Statistical quality control

Control charts

A control chart plots a quality characteristic over time with a centre line (CL), upper control limit (UCL) and lower control limit (LCL), commonly at ±3σ of the plotted statistic.

Chart For Plots
x̄ chart Variables Sample means — process average
R chart / s chart Variables Sample ranges / standard deviations — dispersion
p chart Attributes Fraction defective
np chart Attributes Number defective (constant sample size)
c chart Attributes Number of defects per unit
FormulaControl limits

x̄ chart: , R chart: , p chart: c chart: (Negative LCL is taken as zero.)

  • Points outside limits or non-random patterns (runs, trends) indicate assignable (special) causes; variation within limits is due to chance (common) causes.
  • Process capability — is commonly regarded as capable.

Acceptance sampling

  • Deciding to accept or reject a lot based on a sample.
  • Producer's risk (α) — rejecting a good lot; consumer's risk (β) — accepting a bad lot.
  • Operating characteristic (OC) curve — probability of acceptance vs lot quality; AQL (acceptable quality level) and LTPD (lot tolerance percent defective).

Cost of quality

Category Examples
Prevention costs Training, quality planning, process design
Appraisal costs Inspection, testing, audits
Internal failure costs Rework, scrap, repairs before handover
External failure costs Defects after handover — repairs, claims, reputation loss

Investing in prevention reduces failure costs — the total cost of quality falls.

Six Sigma

  • Data-driven approach to reduce variation; a Six Sigma process has about 3.4 defects per million opportunities (DPMO) (allowing a 1.5σ shift).
  • Methodology DMAIC — Define, Measure, Analyse, Improve, Control; roles such as Champions, Black Belts and Green Belts.

Quality control of concrete

FormulaTarget mean strength (IS 10262)

= standard deviation (assumed values are given in IS 10262 when site data are not available); 1.65 corresponds to not more than 5% of results falling below .

Sampling frequency (IS 456)

Quantity of concrete in the work (m³) Number of samples
1–5 1
6–15 2
16–30 3
31–50 4
51 and above 4 + 1 for each additional 50 m³ or part
  • Each sample consists of three cubes; the sample strength is the average of the three (individual variation limits apply).
  • Acceptance is judged using the mean of groups of consecutive non-overlapping results and individual results relative to , as specified in IS 456 (as amended).

Other site QC for concrete

  • Tests on materials — cement (setting time, soundness, strength), aggregates (grading, silt, flakiness), water.
  • Slump test for workability; temperature; air content where required.
  • Non-destructive tests on hardened concrete — rebound hammer (surface hardness), ultrasonic pulse velocity (homogeneity, cracks), cover meter, half-cell potential (corrosion risk), core tests (actual strength).

Worked examples

Worked ExampleExample 1 — target mean strength

Find the target mean strength for M25 concrete with a standard deviation of 4 N/mm².

Solution. 31.6 N/mm²

Worked ExampleExample 2 — number of samples

How many cube samples are required for 140 m³ of concrete in a slab, and how many cubes?

Solution. Up to 50 m³: 4 samples; the remaining 90 m³ is one full 50 m³ plus a part → 2 more samples. Total = 6 samples = 18 cubes

Worked ExampleExample 3 — p chart limits

In 20 samples of 50 bricks each, the average fraction defective is 0.04. Find the control limits.

Solution. UCL 0.123; LCL → 0

Worked ExampleExample 4 — Pareto analysis

Defects in plaster: hollow sound 45, cracks 30, uneven surface 15, stains 6, others 4. Which defects should be tackled first?

Solution. Total = 100. Hollow sound (45%) and cracks (30%) together account for 75% of defects → address these first.

Frequently tested points

  • QC = inspection/testing (product, detect); QA = systematic process (prevent, confidence); TQM = organisation-wide continuous improvement.
  • Deming — PDCA; Juran — trilogy, fitness for use; Crosby — zero defects, quality is free; Ishikawa — fishbone, quality circles; Shewhart — control charts.
  • ISO 9001 — QMS standard (2015 edition).
  • Seven QC tools: check sheet, histogram, Pareto, fishbone, scatter, control chart, stratification/flow chart.
  • Control charts: x̄ and R (variables); p, np, c (attributes); limits ±3σ.
  • Cost of quality: prevention, appraisal, internal failure, external failure.
  • Six Sigma: 3.4 DPMO; DMAIC.
  • Target mean strength ; IS 456 sampling: 1, 2, 3, 4 samples for up to 5, 15, 30, 50 m³, then +1 per 50 m³; 3 cubes per sample.
  • NDT: rebound hammer, UPV, cover meter, half-cell potential, cores.
Common MistakeCommon mistakes
  • Using QC and QA interchangeably.
  • Using p charts for number of defects per unit (use c charts).
  • Counting cubes instead of samples when applying IS 456 sampling frequency.
Revision SummaryChapter summary
  1. Quality means conformance to requirements and fitness for use; QC inspects products while QA assures processes.
  2. Deming, Juran, Crosby, Ishikawa and Shewhart shaped TQM, PDCA, zero defects, fishbone diagrams and control charts.
  3. ISO 9001, quality assurance plans and inspection and test plans structure project quality management.
  4. Seven QC tools, control charts, acceptance sampling, cost of quality and Six Sigma support improvement.
  5. Concrete quality is controlled through target mean strength, sampling frequency, acceptance criteria and non-destructive testing.

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