Cost of Quality Management Training Course

Duration 10 days 20 modules · 65 contact hours
Level Intermediate Certificate on completion
Who attends Quality Managers, Continuous Improvement Managers 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-043

Before you join: Participants should have practical familiarity with a business process, service operation, production environment or improvement initiative.

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

Poor quality consumes budget through scrap, rework, inspection, warranty claims, concessions, customer complaints, delayed delivery and lost capacity. Many organisations record these costs in separate operational and financial systems, making the total cost of poor quality difficult to see, explain or reduce. Quality teams may identify defects without quantifying business impact, while finance teams may report cost variances without identifying the process conditions causing them. This course connects quality improvement work to financial decision-making.

Participants learn to build a cost of quality system covering prevention, appraisal, internal failure and external failure costs. They map cost sources to processes, chart accounts and cost centres; distinguish direct costs from opportunity costs; and use activity-based costing to assign quality-related expenditure. The course applies Pareto analysis, trend analysis, process capability measures, statistical process control, FMEA and root-cause analysis to identify the few failure modes creating the greatest financial loss. Participants also calculate quality improvement benefits, prepare business cases and establish measures for sustaining results.

Teaching combines concise instructor briefings with worked cases from manufacturing, banking operations, public services, healthcare, logistics and service delivery. Participants work with realistic cost data, process maps, defect records and customer complaint information. They progressively develop a cost of quality analysis for a selected process, product, service or operational unit. By the final session, each participant presents a complete cost of quality improvement case containing a baseline, root-cause evidence, prioritised interventions, investment appraisal, implementation measures and control plan.

The course suits professionals responsible for quality, operations, process improvement, production, service delivery, finance or performance management. It is particularly relevant where defect, rework, complaint, warranty or inspection costs are material but poorly connected to improvement priorities.

What you will be able to do

  • Classify expenditure using prevention, appraisal, internal failure and external failure categories
  • Build a cost of quality baseline from operational, financial and customer data
  • Map quality-related costs to process steps, cost centres and responsible owners
  • Apply Pareto analysis and trend analysis to prioritise high-value loss sources
  • Calculate financial benefits from defect reduction, capacity recovery and risk avoidance
  • Develop quality improvement business cases using payback, NPV and sensitivity analysis
  • Design cost of quality dashboards with operational and financial performance measures
  • Present a costed continuous improvement plan with controls, owners and review points

Benefits of attending

For you

  • Ability to translate defect data into quantified financial loss
  • Stronger credibility when requesting funding for quality improvements
  • Reusable methods for validating savings from improvement projects
  • Practical skill in linking process measures with financial outcomes
  • Evidence-based framework for presenting quality priorities to senior leaders

For your organisation

  • Clearer visibility of prevention, appraisal and failure expenditure
  • Better prioritisation of improvement projects by financial value
  • Reduced rework, scrap, complaints, warranty and concession costs
  • More reliable validation of quality improvement savings
  • Stronger alignment between quality, operations and finance teams

Course modules

20 modules over 10 days

Participants can explain the cost of quality model and distinguish quality expenditure from quality loss.

  • Cost of quality model: prevention, appraisal, internal and external failure
  • Conformance costs compared with costs arising from nonconformance
  • Visible failure costs versus hidden losses from poor quality
  • Quality cost terminology used by finance, operations and improvement teams
  • Taguchi loss function and the economic impact of variation
  • Cost of poor quality boundaries for products, services and processes

Participants can define a practical scope, ownership model and reporting purpose for quality cost analysis.

  • Scope statement defining processes, products, services and reporting periods
  • RACI matrix for quality, operations, finance and process owners
  • Materiality thresholds for collecting and reporting quality-related expenditure
  • Cost ownership rules for shared services and cross-functional failures
  • Monthly governance cadence for reviewing quality cost performance
  • Audit trail requirements supporting management review and financial validation

Participants can map process steps and identify where quality-related costs originate.

  • SIPOC diagram defining suppliers, inputs, process, outputs and customers
  • Swimlane process maps showing handoffs, approvals, queues and rework
  • Value stream map identifying delays, inspection loops and failure points
  • Cost collection points linked to process steps and activities
  • Failure demand distinguished from value-adding customer demand
  • Process boundaries agreed before gathering operational and financial data

Participants can create a data collection plan for reliable cost of quality measurement.

  • General ledger extracts matched with operational defect and complaint records
  • Chart of accounts review for quality-related expenditure codes
  • Data collection plan specifying source, owner, frequency and validation
  • Defect coding taxonomy separating symptoms, causes and failure modes
  • Time-study data used to value rework and inspection effort
  • Data quality checks for completeness, duplication, timing and classification

Participants can distinguish direct, indirect and opportunity costs when estimating quality losses.

  • Direct costs traced to scrap, rework, returns and warranty claims
  • Indirect costs allocated through supervision, facilities and support functions
  • Opportunity costs estimated from lost sales, capacity and customer retention
  • Relevant cost principle applied to improvement decision alternatives
  • Sunk costs separated from future avoidable quality costs
  • Incremental cost estimates used for corrective action decisions

Participants can assign quality costs to products, services and processes using activity-based costing.

  • Activity-based costing assigns resource costs through measurable cost drivers
  • Inspection, testing and rework activities defined for cost assignment
  • Cost driver selection using transactions, hours, units and batches
  • Resource pools created for quality assurance and control activities
  • Unit cost calculations compared across products, channels and locations
  • Allocation assumptions documented for finance review and repeatability

Participants can evaluate prevention spending as an investment in reducing future failure costs.

  • Prevention activities include training, supplier development, planning and error-proofing
  • Training costs linked to targeted defect reduction mechanisms
  • Supplier qualification expenditure assessed against incoming quality risk
  • Poka-yoke investments evaluated for recurring human-error failure modes
  • Design review costs connected with downstream defect avoidance
  • Prevention spending trends compared with appraisal and failure costs

Participants can analyse inspection and testing costs while protecting required assurance levels.

  • Appraisal costs include inspection, testing, calibration and quality audits
  • Inspection points mapped against process risk and defect containment
  • Sampling plans compared with one-hundred-percent inspection cost profiles
  • Measurement system costs separated from production quality losses
  • Calibration records assessed for recurring equipment-related measurement expense
  • Risk-based inspection plans reduce unnecessary appraisal activity

Participants can quantify internal failure costs and identify their principal process drivers.

  • Internal failure costs include scrap, rework, retesting and downtime
  • First-pass yield calculated from accepted units and total units
  • Rework hours converted into labour, machine and capacity costs
  • Scrap valuation distinguishes material loss from recoverable salvage
  • Defect containment costs identified before products reach customers
  • Downtime attributed to equipment failures, defects and corrective actions

Participants can measure customer-facing failure costs and assess associated business risk.

  • External failure costs include returns, complaints, recalls and warranty
  • Complaint records coded by product, service, channel and failure mode
  • Warranty provisions reconciled with claims history and technical evidence
  • Service recovery costs measured through credits, replacements and escalation
  • Customer churn risk estimated from recurring service failure patterns
  • Regulatory penalties and contractual remedies included where applicable

Participants can prioritise quality problems using financial impact, frequency and risk evidence.

  • Pareto charts rank defect categories by cumulative financial impact
  • Frequency and unit-cost views reveal different improvement priorities
  • Stratification separates losses by shift, supplier, location and product
  • Cost-weighted defect rates prevent minor issues dominating attention
  • Risk matrices combine financial exposure, customer harm and compliance consequences
  • Prioritisation criteria documented before selecting improvement projects

Participants can use process variation evidence to estimate quality cost reduction potential.

  • Common-cause and special-cause variation require different management responses
  • Control charts identify unstable processes driving unpredictable failure costs
  • Process capability indices Cp and Cpk relate variation to specifications
  • Defect opportunities translated into expected rework and failure costs
  • Run charts reveal shifts following process changes or corrective actions
  • Capability improvement targets linked to cost reduction forecasts

Participants can connect root causes and failure modes to quantified quality cost drivers.

  • Five Whys analysis tests causal chains behind recurring failure costs
  • Fishbone diagrams structure potential causes across process categories
  • FMEA ranks failure modes using severity, occurrence and detection
  • Risk priority discussions include cost exposure and customer consequences
  • Cause-and-effect matrices connect input variables with critical outputs
  • Corrective actions targeted at verified causes rather than symptoms

Participants can establish a financial baseline for a DMAIC improvement project.

  • DMAIC Define phase frames customer, process and financial problems
  • Project charters state baseline cost, target benefit and scope
  • Measure phase plans operational data and financial evidence collection
  • Baseline periods selected to account for seasonality and unusual events
  • Operational measures linked explicitly to cost of poor quality
  • Finance sign-off criteria established before benefit claims begin

Participants can develop and compare improvement options that address major quality cost drivers.

  • Countermeasures generated from verified causes, constraints and process evidence
  • Error-proofing options compared with inspection and detection controls
  • Kaizen improvements assessed for effort, cost, speed and expected benefit
  • Supplier corrective actions evaluated against internal containment costs
  • Process redesign options tested against customer and regulatory requirements
  • Implementation dependencies identified across technology, people and procedures

Participants can prepare financially credible improvement cases using standard investment measures.

  • Payback period calculates time required to recover project investment
  • Net present value compares discounted benefits with implementation costs
  • Sensitivity analysis tests assumptions about volumes, savings and timing
  • Benefit categories distinguish hard savings, cost avoidance and capacity release
  • Cash flow timing reflects investment, ramp-up and sustained performance
  • Business cases state risks, assumptions, owners and validation methods

Participants can track realised benefits and reconcile them with finance reporting requirements.

  • Benefits register records baselines, initiatives, owners and validation status
  • Gross savings separated from implementation costs and offsetting effects
  • Double counting controls prevent duplicate claims across related projects
  • Finance reconciliation compares project benefits with budget and actuals
  • Benefit evidence retained through invoices, payroll, production and complaint data
  • Realisation reviews distinguish forecast benefits from verified results

Participants can design management reporting that links quality performance to financial action.

  • Dashboard measures show prevention, appraisal and failure cost trends
  • Cost of poor quality expressed as sales, revenue or operating cost
  • Leading indicators include process capability, audit findings and training completion
  • Lagging indicators include returns, warranty, rework and customer complaints
  • Control plans assign response thresholds, escalation routes and review frequency
  • Management review packs connect performance gaps with funded actions

Participants can plan implementation of a repeatable cost of quality management system.

  • Implementation roadmap sequences data, governance, reporting and improvement actions
  • Pilot selection considers cost exposure, leadership support and data availability
  • Standard work defines recurring data collection and validation activities
  • Training plan assigns capability needs for process and finance users
  • Change communication explains reporting purpose without creating blame culture
  • ISO 9001 management review inputs aligned with quality cost reporting

Participants can build, review and present a complete cost of quality improvement case for a selected operational process.

  • Process scope, customer requirements and baseline quality costs defined
  • Cost model reconciles operational records, financial data and assumptions
  • Pareto evidence identifies priority failure modes and loss drivers
  • Root-cause findings support targeted prevention and corrective action choices
  • Business case quantifies investment, benefits, risks and payback timing
  • Dashboard, control plan and governance cycle sustain verified results

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

What you take back to work

  1. Cost of quality classification template
  2. Quality cost data collection plan
  3. Activity-based quality cost model
  4. Cost-weighted Pareto analysis
  5. Improvement business case template
  6. Quality cost dashboard and control plan

Who should attend

  • Quality Managers — quantify quality losses and prioritise improvement investment
  • Continuous Improvement Managers — connect DMAIC projects to verified financial benefits
  • Operations Managers — reduce rework, inspection burden and process waste
  • Finance Business Partners — validate quality cost assumptions and improvement cases
  • Production and Service Managers — manage recurring defects through cost-based priorities
  • Process Excellence Analysts — build evidence for process redesign and control plans

Skills and tools covered

Cost of qualityQuality cost analysisActivity-based costingImprovement business casesStatistical process controlBenefits realisation

Tools and standards

ISO 9001, DMAIC, Failure Mode and Effects Analysis, Activity-Based Costing

How the course runs

Training methodology

The course uses short instructor briefings to introduce cost of quality concepts, financial measures and improvement methods. Participants analyse realistic operational and financial datasets, identify failure-cost patterns, and prepare cost models in small groups. Cases examine recurring defects, service errors, warranty claims, inspection costs and customer complaints. Facilitated simulations demonstrate how prevention investment changes total quality cost. Individual application planning enables participants to adapt the methods to a current process, product, service line or improvement project.

Requirements and prerequisites

Participants should have practical familiarity with a business process, service operation, production environment or improvement initiative. They should be comfortable reading basic operational reports, such as defect logs, productivity reports, customer complaints, budgets or cost-centre statements. Basic spreadsheet use, including sorting data and creating simple formulas, is helpful. Prior experience with quality management, Lean Six Sigma, accounting or statistical analysis is not required. The course explains financial measures and quality tools from an applied intermediate level, but it is not intended for participants with no workplace process experience.

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 workplace experience with a process, service, product or operational report. Prior training in accounting, Lean Six Sigma, quality management or statistics is not required.

Bring a laptop if possible, along with a current process problem, defect report, complaint trend, rework issue or improvement idea. Participants may use anonymised workplace data, but the course also provides realistic case materials.

The course is designed for quality, operations, improvement and finance professionals who need to quantify the financial impact of poor quality. It also suits managers sponsoring projects involving defects, waste, claims, service errors or inspection costs.

Lean Six Sigma training focuses mainly on structured problem solving and variation reduction. This course concentrates on costing quality losses, evaluating prevention expenditure, validating benefits and preparing financially credible improvement cases.

Participants can begin by selecting one process with measurable rework, complaints, warranty, inspection or defect costs. The templates support a baseline, priority analysis, improvement case and monthly management review.

The first part builds the cost model, data plan and financial baseline. The later sessions apply analysis tools, develop improvement options, test financial assumptions, design reporting controls and complete the capstone case.

Questions about this course?

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