Sampling and Inspection Techniques Training Course

Duration 10 days 20 modules · 65 contact hours
Level Intermediate Certificate on completion
Who attends Quality Engineers, Quality Inspectors and others
Fee from USD 2,200 KSh 190,000 for Kenyan organisations
Where 52 cities + online See dates by city
Next start 16 Nov 2026 Course code SD-QP-063

Before you join: Participants should have basic familiarity with quality terms such as specification, tolerance, defect, nonconformance and corrective action.

Dates & prices

Two start dates a month in every city, and live online on weekdays or weekends. Fees are per participant; classroom fees include tuition, materials, lunch and refreshments, and the certificate.

Suggest a date or city

Showing the next six months. Later dates, other cities and private deliveries for your team are available on request.

Course overview

Sampling and inspection decisions determine whether material is accepted, held, reworked or rejected without inspecting every unit. Poorly designed plans can miss critical defects, create unnecessary inspection cost, delay production, or generate disputes with suppliers and customers. Quality professionals need to distinguish between process control and acceptance sampling, select defensible sample sizes, define clear inspection criteria, and make disposition decisions supported by evidence.

This course develops practical capability in attribute, variable and sequential sampling; incoming, in-process and final inspection planning; measurement system evaluation; defect classification; and inspection data analysis. Participants work with ANSI/ASQ Z1.4, ISO 2859-1 and ISO 3951-1 principles, including AQL, LTPD, producer's risk, consumer's risk, normal, tightened and reduced inspection. They learn how to translate specifications into inspectable characteristics, select random samples, calculate acceptance and rejection criteria, assess inspector agreement, and link recurring defects to corrective action.

Teaching combines short technical briefings with manufacturing, construction, pharmaceutical, food, procurement and service-delivery cases. Participants analyse sample plans, inspect simulated lots, review inspection records, make lot-disposition decisions, and develop materials based on a current or realistic work process. Each participant leaves with a complete inspection and sampling plan, including defect definitions, sampling instructions, acceptance criteria, recording forms, escalation routes and performance measures.

The course suits professionals responsible for quality assurance, quality control, supplier quality, production, warehousing, project delivery and operational compliance. It is particularly useful where inspection resources are limited but the consequences of accepting defective output are significant.

What you will be able to do

  • Design attribute sampling plans using AQL, lot size and inspection level
  • Apply ISO 2859-1 acceptance sampling tables to lot-disposition decisions
  • Construct variable sampling plans using specification limits and standard deviation
  • Define measurable inspection criteria, defect classes and acceptance standards
  • Assess measurement system suitability using bias, repeatability and reproducibility evidence
  • Select random, systematic, stratified and sequential sampling methods for inspection
  • Analyse inspection data using Pareto charts, control charts and defect metrics
  • Produce a complete risk-based inspection and sampling plan for a work process

Benefits of attending

For you

  • Make defensible accept, reject and hold decisions from sampling evidence
  • Specify inspection criteria that reduce inconsistent inspector judgement
  • Calculate and explain AQL-based sample sizes and acceptance numbers
  • Identify when measurement error makes inspection results unreliable
  • Build inspection plans applicable to current products, suppliers or projects

For your organisation

  • Reduce unnecessary 100 percent inspection while maintaining defined quality protection
  • Improve consistency of lot disposition across inspectors, sites and shifts
  • Detect supplier and production defects before customer release
  • Strengthen traceability for quality investigations, claims and audit reviews
  • Target corrective action using inspection trends and recurring defect evidence

Course modules

20 modules over 10 days

Participants can distinguish inspection activities from prevention, process control and assurance activities.

  • Quality assurance, quality control and inspection responsibilities compared clearly
  • Inspection gates within incoming, in-process and final-release workflows
  • Conformance, nonconformance, defect and failure terminology applied consistently
  • Prevention, appraisal and failure costs linked to inspection choices
  • Inspection independence, authority and escalation routes defined
  • Customer, regulatory and contractual inspection obligations identified

Participants can convert requirements into measurable and inspectable acceptance criteria.

  • Voice-of-customer requirements translated into measurable product characteristics
  • Critical-to-quality characteristics identified from drawings, contracts and specifications
  • Nominal values, tolerances and specification limits interpreted correctly
  • Attribute characteristics distinguished from variable measurement characteristics
  • Operational definitions written for observable defect conditions
  • Acceptance criteria aligned with customer and regulatory requirements

Participants can explain sampling logic, population concepts and the limits of sample evidence.

  • Population, lot, batch, unit and sample definitions established
  • Sampling inspection compared with 100 percent inspection methods
  • Inference from sample results and associated uncertainty explained
  • Sampling error, bias and variability distinguished clearly
  • Representative samples linked to valid lot-disposition decisions
  • Inspection economics balanced against quality and customer risk

Participants can select samples that minimise selection bias and support valid conclusions.

  • Simple random sampling using random-number tables and generators
  • Systematic sampling intervals selected from defined lot quantities
  • Stratified sampling applied to shifts, locations and suppliers
  • Cluster sampling risks recognised in palletised and containerised lots
  • Convenience sampling biases identified before inspection decisions
  • Randomisation instructions documented within inspection work instructions

Participants can create an inspection plan linking characteristics, methods, frequency and actions.

  • Inspection-plan scope defined from process flow and risk points
  • Control-plan columns completed for characteristics, methods and responsibilities
  • Inspection frequency set using risk, volume and process capability
  • Sampling locations chosen to capture meaningful process variation
  • Reaction plans specified for failed inspection results
  • Inspection records designed for traceability and timely escalation

Participants can design attribute sampling plans using defect counts and acceptance numbers.

  • Attribute inspection outcomes recorded as conforming or nonconforming
  • Defect counts distinguished from defective-unit counts accurately
  • Acceptance number and rejection number rules calculated
  • Lot size and inspection level used for plan selection
  • AQL interpreted as a process-quality index, not guarantee
  • Operating characteristic curves introduced for attribute sampling plans

Participants can use standard attribute sampling tables to make documented lot decisions.

  • ANSI/ASQ Z1.4 table structure and code letters interpreted
  • ISO 2859-1 inspection levels selected for stated purposes
  • Normal inspection plans selected from lot-size tables
  • Single, double and multiple sampling plans compared
  • AQL columns matched to defect-class acceptance requirements
  • Acceptance and rejection decisions recorded from inspection findings

Participants can apply normal, tightened and reduced inspection switching rules correctly.

  • Normal inspection used as the standard operating condition
  • Tightened inspection triggers identified from rejected-lot history
  • Reduced inspection eligibility assessed using quality performance evidence
  • Switching-rule records maintained across consecutive submitted lots
  • Discontinuation rules applied when quality deterioration persists
  • Supplier communication linked to inspection-status changes

Participants can select variable sampling methods when measured data are available.

  • Variable sampling benefits compared with attribute inspection methods
  • Measured values evaluated against one-sided and two-sided specifications
  • Process standard deviation estimated from representative data
  • ISO 3951-1 principles applied to measurable characteristics
  • Standard deviation method and unknown-variation method distinguished
  • Sample results converted into lot acceptance decisions

Participants can identify when sequential or continuous sampling is appropriate for a process.

  • Sequential sampling decisions updated after each inspected unit
  • Wald sequential probability ratio test concepts introduced
  • Continuous sampling suited to high-volume production streams
  • CSP-1 clearance number and sampling fraction explained
  • Inspection switching conditions defined for continuous production
  • Method limitations assessed for critical safety characteristics

Participants can establish incoming inspection controls that reflect supplier and material risk.

  • Supplier risk ratings used to prioritise receipt inspection
  • Certificates of conformity verified against purchase-order requirements
  • Receiving inspection plans linked to material criticality
  • Quarantine, identification and segregation controls specified for failures
  • Supplier corrective action requests triggered by recurring nonconformities
  • Skip-lot inspection criteria governed by demonstrated supplier performance

Participants can coordinate sampling inspection with process monitoring and response actions.

  • First-off inspection requirements established before production release
  • Patrol inspection frequencies aligned with process risk and volume
  • Control charts distinguished from acceptance sampling plans
  • X-bar, R, p and c charts selected appropriately
  • Special-cause signals escalated through defined reaction plans
  • Process capability evidence used to review inspection frequency

Participants can plan final inspection that confirms release requirements and traceability.

  • Final-release criteria linked to completed records and product identification
  • Product audits distinguish system conformity from delivered-product conformity
  • Functional, dimensional, visual and documentation checks combined
  • Sampling plans applied before packaging and shipment release
  • Rework and repair verification requirements defined clearly
  • Release authority and certificate requirements documented

Participants can assess whether inspection measurements are suitable for acceptance decisions.

  • Measurement error separated from actual product variation
  • Accuracy, bias, linearity, stability and precision defined
  • Repeatability and reproducibility evaluated through Gage R&R studies
  • Attribute agreement analysis used for visual inspection decisions
  • Calibration status checked before accepting measurement results
  • Resolution requirements matched to tolerance and decision risk

Participants can establish consistent visual standards and defect-severity classifications.

  • Critical, major and minor defect classes defined
  • Defect catalogues built with photographs and acceptance examples
  • Boundary samples used to calibrate inspector judgement
  • Lighting, distance and viewing-angle conditions standardised
  • Inspector certification criteria based on agreement performance
  • Subjective visual criteria converted into operational definitions

Participants can analyse inspection data to identify patterns, priorities and deterioration.

  • Inspection forms capture lot identity, results and disposition
  • Defects per unit and percent defective calculated
  • Pareto charts rank defect categories by frequency
  • Run charts reveal shifts, trends and recurring variation
  • Stratification separates performance by supplier, shift and product
  • Traceability records support containment and root-cause investigation

Participants can control nonconforming lots through documented disposition and containment processes.

  • Accepted, rejected, held and conditionally released lots distinguished
  • Nonconforming material reports document evidence and disposition authority
  • Containment actions prevent unintended use or shipment
  • Reinspection requirements defined after sorting, rework or repair
  • Concessions and deviations controlled through authorised approval
  • Disposition data linked to corrective and preventive action

Participants can adjust inspection intensity according to consequence, likelihood and detection controls.

  • Failure mode and effects analysis informs inspection priorities
  • Severity, occurrence and detection ratings guide characteristic selection
  • Producer's risk and consumer's risk balanced explicitly
  • LTPD used to define unacceptable quality protection
  • Inspection resources assigned to critical characteristics first
  • Sampling frequency reviewed after process and supplier changes

Participants can improve inspection flow while maintaining required quality protection.

  • Inspection process maps identify delays, duplication and handoffs
  • Value-added inspection distinguished from avoidable checking activity
  • Standard work instructions reduce variation between inspectors
  • Poka-yoke controls reduce dependence on final inspection
  • Inspection workload balanced against staffing and cycle-time targets
  • Key performance indicators track effectiveness, cost and timeliness

Participants can build, review and present a complete sampling and inspection plan for a defined process or product.

  • Process scope, product requirements and critical characteristics defined
  • Inspection points mapped from receipt through final release
  • Sampling method, AQL and sample-size rationale documented
  • Measurement methods, defect classes and acceptance criteria specified
  • Lot-disposition workflow, escalation rules and records completed
  • Plan review tests traceability, feasibility and risk coverage

Exercises and examples are adapted to each cohort's sectors and roles.

What you take back to work

  1. Risk-based inspection plan template
  2. ANSI/ASQ Z1.4 sampling-plan selection guide
  3. Defect classification and visual-standard checklist
  4. Incoming inspection and lot-disposition workflow
  5. Measurement system suitability checklist
  6. Inspection data analysis dashboard model

Who should attend

  • Quality Engineers — need defensible inspection plans and sampling decisions
  • Quality Inspectors — need consistent methods for examining and recording product quality
  • Supplier Quality Engineers — need clear incoming inspection and supplier acceptance criteria
  • Production Supervisors — need inspection controls that protect throughput and conformity
  • Procurement Managers — need sampling requirements for supplier contracts and receipt checks
  • Project Quality Managers — need inspection plans for controlled project deliverables

Skills and tools covered

Acceptance sampling designInspection planningMeasurement system analysisDefect classificationLot dispositionQuality data analysis

Tools and standards

ANSI/ASQ Z1.4, ISO 2859-1, ISO 3951-1, AIAG Measurement Systems Analysis

How the course runs

Training methodology

The course uses short instructor briefings to introduce standards, sampling logic and statistical concepts. Cases from incoming goods, production lines, project delivery and supplier management are used to interpret inspection requirements and lot data. Group work covers sample selection, defect classification, table use, inspection-record review and disposition decisions. Simulations show the effects of different sample plans on producer and consumer risk. Participants apply the methods to a selected workplace process and receive structured feedback on their inspection and sampling plan.

Requirements and prerequisites

Participants should have basic familiarity with quality terms such as specification, tolerance, defect, nonconformance and corrective action. Experience in production, warehousing, laboratory work, procurement, construction inspection, service operations or quality control is helpful. Participants should be comfortable reading tables, working with percentages and interpreting simple charts. Prior knowledge of formal statistics, ISO standards, control charts or acceptance sampling is not required. Participants do not need specialist software, advanced mathematics or previous auditor certification.

A typical training day

08:30 – 10:30First session
10:30 – 10:45Refreshment break
10:45 – 12:30Second session
12:30 – 13:30Lunch and networking
13:30 – 15:00Third session
15:00 – 15:15Refreshment break
15:15 – 16:30Workshop and daily review

Live online deliveries follow the same structure in East Africa Time, with shorter screen blocks and longer breaks.

What the fee includes

  • Instruction by a practitioner facilitator
  • Full course workbook and materials
  • Exercise files, templates and case studies
  • Refreshments and lunch on classroom deliveries
  • Certificate of completion
  • Post-course application plan

Frequently asked questions

Participants need basic familiarity with quality terminology and workplace specifications. No previous training in statistics, acceptance sampling standards or measurement system analysis is required.

Bring a calculator and, where permitted, a current inspection form, product specification, supplier requirement or process flow from your workplace. Course materials include the tables, templates and case data needed for classroom work.

It is designed for quality engineers, inspectors, supplier quality staff, production supervisors, procurement professionals and project quality personnel. It applies to physical products, materials, construction outputs and controlled service processes.

Statistical process control focuses on monitoring process stability and variation over time. This course focuses on selecting and inspecting samples, accepting or rejecting lots, and managing inspection operations; it also explains where SPC supports those decisions.

Participants can use the inspection-plan template to document characteristics, sampling rules, acceptance criteria, records and escalation actions. The methods can be applied to incoming goods, production checks, final release or supplier performance review.

Training days run from 08:30 to 16:30 and provide about 6.5 contact hours each. The first half establishes sampling, inspection planning and standard-table use; the second half covers measurement systems, risk, data analysis, improvement and the capstone plan.

Questions about this course?

Ask about dates, fees, group bookings or running it for your team. Our training team replies by email.

Ask on WhatsApp info@skillsetdevelopment.com

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