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Certified QualityEngineer

Quality excellence to enhance your career

and boost your organization’s bottom line

asq.org/certification



2 Certified Quality Engineer

Certification from ASQ

is considered a mark ofquality excellence in many

industries. It helps you advance your

career, and boosts your organization’s

bottom line through your mastery

of quality skills. Becoming certified

as a Quality Engineer confirms your

commitment to quality and the positive

impact it will have on your organization.



3Certified Quality Engineer

Examination

Each certification candidate is requiredto pass a written examination thatconsists of multiple-choice questionsthat measure comprehension of theBody of Knowledge. The QualityEngineer examination is a one-part,160-question, five-hour exam. It isoffered in English.

Education and/or Experience

You must have eight years of on-the- job experience in one or more of theareas of the Certified Quality EngineerBody of Knowledge. A minimum ofthree years of this experience mustbe in a decision-making position.“Decision-making” is defined asthe authority to define, execute, orcontrol projects/processes and to be

responsible for the outcome. Thismay or may not include managementor supervisory positions.

If you were ever certified by ASQ as aQuality Auditor, Reliability Engineer,Software Quality Engineer, or Manager,experience used to qualify for certificationin these fields applies to certification asa Quality Engineer.

If you have completed a degree* from

a college, university, or technical schoolwith accreditation accepted by ASQ,part of the eight-year experiencerequirement will be waived, as follows (onlyone of these waivers may be claimed):

• Diploma from a technical or tradeschool—one year will be waived.

• Associate degree—two years waived.

• Bachelor’s degree—four years waived. • Master’s or doctorate—five years waived.

*Degrees/diplomas from educationalinstitutions outside the United Statesmust be equivalent to degrees fromU.S. educational institutions.

The Certified Quality Engineer is a professional who understands the principles

of product and service quality evaluation and control. This body of knowledge andapplied technologies include, but are not limited to, development and operationof quality control systems, application and analysis of testing and inspectionprocedures, the ability to use metrology and statistical methods to diagnose andcorrect improper quality control practices, an understanding of human factors andmotivation, facility with quality cost concepts and techniques, and the knowledgeand ability to develop and administer management information systems and toaudit quality systems for deficiency identification and correction.

Certified Quality Engineer

Information




Minimum Expectations for aCertified Quality Engineer

• Will have a fundamental understandingof quality philosophies, principles,systems, methods, tools, standards,organizational and team dynamics,customer expectations and satisfaction,supplier relations and performance,leadership, training, interpersonalrelationships, improvement systems,

and professional ethics. • Will have a fundamental understanding

of a quality system and its development,documentation, and implementationto domestic and international standardsor requirements.

• Will have a basic understanding ofthe audit process including types ofaudits, planning, preparation, execution,reporting results, and follow-up.

• Will be able to develop and imple-ment quality programs, includingtracking, analyzing, reporting, andproblem solving.

• Will be able to plan, control, andassure product and process qualityin accordance with quality principles,which include planning processes,material control, acceptance sampling,and measurement systems.

• Will have basic knowledge of reliability,maintainability, and risk management,including key terms and definitions,modeling, systems design, assessmenttools, and reporting.

• Will have a thorough understandingof problem-solving and qualityimprovement tools and techniques.This includes knowledge ofmanagement and planning tools,quality tools, preventive and correctiveactions, and how to overcomebarriers to quality improvements.

• Will be able to acquire and analyzedata using appropriate standardquantitative methods across a spectrumof business environments to facilitateprocess analysis and improvements.

For comprehensive exam information on the Quality Engineercertification, visit asq.org/certification.




I Management and Leadership(15 Questions)

A. Quality Philosophies and FoundationsExplain how modern qualityhas evolved from quality controlthrough statistical process control(SPC) to total quality managementand leadership principles (includingDeming’s 14 Points), and howquality has helped form variouscontinuous improvement toolsincluding lean, six sigma, theoryof constraints, etc. (Remember)

B. The Quality ManagementSystem (QMS)

1. Strategic planningIdentify and define topmanagement’s responsibility forthe QMS, including establishingpolicies and objectives, settingorganization-wide goals, supporting

quality initiatives, etc. (Apply)

2. Deployment techniquesDefine, describe, and use variousdeployment tools in supportof the QMS: benchmarking,stakeholder identificationand analysis, performancemeasurement tools, and project

management tools such as PERTcharts, Gantt charts, criticalpath method (CPM), resourceallocation, etc. (Apply)

3. Quality information system (QIS)Identify and define the basicelements of a QIS, including whowill contribute data, the kind ofdata to be managed, who willhave access to the data, the levelof flexibility for future informationneeds, data analysis, etc.(Remember)

C. ASQ Code of Ethics forProfessional ConductDetermine appropriate behaviorin situations requiring ethicaldecisions. (Evaluate)

D. Leadership Principles

and TechniquesDescribe and apply variousprinciples and techniques fordeveloping and organizing teamsand leading quality initiatives.(Analyze)

The topics in this Body of Knowledge (BOK) include subtext

explanations and the cognitive level at which the questions will bewritten. This information will provide useful guidance for both the

Exam Development Committee and the candidate preparing to take

the exam. The subtext is not intended to limit

the subject matter or be all-inclusive of that

material that will be covered in the exam. It is

meant to clarify the type of content that will

be included on the exam. The descriptor in

parentheses at the end of each entry refersto the maximum cognitive level at which the

topic will be tested. A complete description

of cognitive levels is provided at the end of

this document.

Certified Quality Engineer

Body of Knowledge




E. Facilitation Principlesand TechniquesDefine and describe the facilitator’srole and responsibilities on ateam. Define and apply varioustools used with teams, includingbrainstorming, nominal grouptechnique, conflict resolution,force-field analysis, etc. (Analyze)

F. Communication SkillsDescribe and distinguish betweenvarious communication methodsfor delivering information andmessages in a variety of situationsacross all levels of the organization.(Analyze)

G. Customer Relations

Define, apply, and analyze theresults of customer relationmeasures such as quality functiondeployment (QFD), customersatisfaction surveys, etc. (Analyze)

H. Supplier ManagementDefine, select, and apply varioustechniques including supplierqualification, certification,evaluation, ratings, performanceimprovement, etc. (Analyze)

I. Barriers to Quality ImprovementIdentify barriers to qualityimprovement, their causes andimpact, and describe methods forovercoming them. (Analyze)

II The Quality System(15 Questions)

A. Elements of the Quality System

Define, describe, and interpret thebasic elements of a quality system,including planning, control, andimprovement, from product andprocess design through qualitycost systems, audit programs, etc.(Evaluate)

B. Documentation of the Quality SystemIdentify and apply quality systemdocumentation components,including quality policies,procedures to support the system,configuration management anddocument control to manage workinstructions, quality records, etc.(Apply)

C. Quality Standards andOther GuidelinesDefine and distinguish betweennational and international standardsand other requirements andguidelines, including the MalcolmBaldrige National Quality Award(MBNQA), and describe key pointsof the ISO 9000 series of standardsand how they are used. [Note:Industry-specific standards will notbe tested.] (Apply)

D. Quality Audits

1. Types of auditsDescribe and distinguishbetween various types ofquality audits such as product,

process, management (system),registration (certification),compliance (regulatory), first,second, and third party, etc.(Apply)

2. Roles and responsibilitiesin auditsIdentify and define rolesand responsibilities for auditparticipants such as audit team(leader and members), client,auditee, etc. (Understand)

3. Audit planning andimplementationDescribe and apply the stepsof a quality audit, from theaudit planning stage throughconducting the audit, from theperspective of an audit teammember. (Apply)

4. Audit reporting and follow-up

Identify, describe, and applythe steps of audit reporting andfollow-up, including the need toverify corrective action. (Apply)

E. Cost of Quality (COQ)Identify and apply COQ concepts,including cost categories, datacollection methods andclassification, and reporting andinterpreting results. (Analyze)

F. Quality TrainingIdentify and define key elementsof a training program, includingconducting a needs analysis,developing curricula and materials,and determining the program’seffectiveness. (Apply)




III Product and Process Design(25 Questions)

A. Classification of Quality CharacteristicsDefine, interpret, and classify

quality characteristics for newproducts and processes. [Note:The classification of productdefects is covered in IV.B.3.](Evaluate)

B. Design Inputs and ReviewIdentify sources of design inputssuch as customer needs, regulatoryrequirements, etc., and how theytranslate into design concepts suchas robust design, QFD, and Design

for X (DFX, where X can mean sixsigma (DFSS), manufacturability(DFM), cost (DFC), etc.). Identifyand apply common elements ofthe design review process,including roles and responsibilitiesof participants. (Analyze)

C. Technical Drawings andSpecificationsInterpret technical drawingsincluding characteristics such asviews, title blocks, dimensioning,tolerancing, GD&T symbols, etc.Interpret specification requirementsin relation to product and processcharacteristics. (Evaluate)

D. Design VerificationIdentify and apply variousevaluations and tests to qualify andvalidate the design of new productsand processes to ensure their

fitness for use. (Evaluate)E. Reliability and Maintainability

1. Predictive and preventivemaintenance toolsDescribe and apply these toolsand techniques to maintain andimprove process and productreliability. (Analyze)

2. Reliability andmaintainability indices

Review and analyze indicessuch as, MTTF, MTBF, MTTR,availability, failure rate, etc.(Analyze)

3. Bathtub curveIdentify, define, and distinguishbetween the basic elements ofthe bathtub curve. (Analyze)

4. Reliability/safety/hazardassessment toolsDefine, construct, and interpretthe results of failure mode andeffects analysis (FMEA), failuremode, effects, and criticalityanalysis (FMECA), and fault treeanalysis (FTA). (Analyze)

IV IProject Management(32 Questions)

A. ToolsDefine, identify, and apply productand process control methodssuch as developing control plans,identifying critical control points,

developing and validating workinstructions, etc. (Analyze)

B. Material Control

1. Material identification, status,and traceabilityDefine and distinguish theseconcepts, and describe methodsfor applying them in varioussituations. [Note: Product recallprocedures will not be tested.]

(Analyze) 2. Material segregation

Describe material segregationand its importance, and evaluateappropriate methods for applyingit in various situations. (Evaluate)

3. Classification of defectsDefine, describe, and classifythe seriousness of product andprocess defects. (Evaluate)

4. Material review board (MRB)Identify the purpose and functionof an MRB, and make appropriatedisposition decisions in varioussituations. (Analyze)

C. Acceptance Sampling

1. Sampling conceptsDefine, describe, and applythe concepts of producer andconsumer risk and related terms,including operating characteristic(OC) curves, acceptable qualitylimit (AQL), lot tolerance percentdefective (LTPD), averageoutgoing quality (AOQ), averageoutgoing quality limit (AOQL),etc. (Analyze)




2. Sampling standards and plansInterpret and apply ANSI/ ASQ Z1.4 and Z1.9 standardsfor attributes and variablessampling. Identify and distinguishbetween single, double, multiple,sequential, and continuoussampling methods. Identify thecharacteristics of Dodge-Romigsampling tables and when theyshould be used. (Analyze)

3. Sample integrityIdentify the techniques forestablishing and maintainingsample integrity. (Analyze)

D. Measurement and Test

1. Measurement toolsSelect and describeappropriate uses of inspectiontools such as gage blocks,calipers, micrometers, opticalcomparators, etc. (Analyze)

2. Destructive andnondestructive testsDistinguish between destructiveand nondestructive measurementtest methods and apply them

appropriately. (Analyze)E. Metrology

Identify, describe, and applymetrology techniques such ascalibration systems, traceability tocalibration standards, measurementerror and its sources, and controland maintenance of measurementstandards and devices. (Analyze)

F. Measurement System Analysis(MSA)Calculate, analyze, and interpretrepeatability and reproducibility(Gage R&R) studies, measurementcorrelation, capability, bias,linearity, etc., including bothconventional and control chartmethods. (Evaluate)

V Continuous Improvement

(30 Questions)A. Quality Control Tools

Select, construct, apply, andinterpret tools such as 1) flowcharts,2) Pareto charts, 3) cause and effectdiagrams, 4) control charts, 5) checksheets, 6) scatter diagrams, and 7)histograms. (Analyze)

B. Quality Management andPlanning ToolsSelect, construct, apply, and interprettools such as 1) affinity diagrams, 2)tree diagrams, 3) process decisionprogram charts (PDPC), 4) matrixdiagrams, 5) interrelationshipdigraphs, 6) prioritization matrices,and 7) activity network diagrams.(Analyze)

C. Continuous ImprovementTechniquesDefine, describe, and distinguishbetween various continuousimprovement models: total qualitymanagement (TQM), kaizen, Plan-Do-Check-Act (PDCA), six sigma,

theory of constraints (TOC), lean,etc. (Analyze)

D. Corrective ActionIdentify, describe, and applyelements of the corrective actionprocess including problemidentification, failure analysis, rootcause analysis, problem correction,recurrence control, verification ofeffectiveness, etc. (Evaluate)

E. Preventive ActionIdentify, describe, and apply variouspreventive action tools such as error-proofing/poka-yoke, robust design,etc., and analyze their effectiveness.(Evaluate)

VI Quantitative Methods andTools (43 Questions)

A. Collecting and Summarizing Data

1. Types of dataDefine, classify, and comparediscrete (attributes) andcontinuous (variables) data.(Apply)

2. Measurement scalesDefine, describe, and usenominal, ordinal, interval, andratio scales. (Apply)

3. Data collection methods

Describe various methods forcollecting data, including tallyor check sheets, data coding,automatic gaging, etc., andidentify their strengths andweaknesses. (Apply)




4. Data accuracyDescribe the characteristics orproperties of data (e.g., source/ resource issues, flexibility,versatility, etc.) and various typesof data errors or poor quality suchas low accuracy, inconsistency,interpretation of data values, andredundancy. Identify factors thatcan influence data accuracy,and apply techniques for errordetection and correction. (Apply)

5. Descriptive statisticsDescribe, calculate, and interpretmeasures of central tendency anddispersion (central limit theorem),and construct and interpret

frequency distributions includingsimple, categorical, grouped,ungrouped, and cumulative.(Evaluate)

6. Graphical methods fordepicting relationshipsConstruct, apply, and interpretdiagrams and charts such asstem-and-leaf plots, box-and-whisker plots, etc. [Note: Runcharts and scatter diagrams are

covered in V.A.] (Analyze) 7. Graphical methods for

depicting distributionsConstruct, apply, and interpretdiagrams such as normalprobability plots, Weibull plots,etc. [Note: Histograms arecovered in V.A.] (Analyze)

B. Quantitative Concepts

1. Terminology

Define and apply quantitativeterms, including population,parameter, sample, statistic,random sampling, expectedvalue, etc. (Analyze)

2. Drawing statistical conclusionsDistinguish between numeric andanalytical studies. Assess thevalidity of statistical conclusionsby analyzing the assumptionsused and the robustness of thetechnique used. (Evaluate)

3. Probability terms and conceptsDescribe and apply conceptssuch as independence, mutuallyexclusive, multiplication rules,complementary probability, jointoccurrence of events, etc. (Apply)

C. Probability Distributions

1. Continuous distributionsDefine and distinguish betweenthese distributions: normal,uniform, bivariate normal,exponential, lognormal, Weibull,

chi square, Student’s t, F, etc.(Analyze)

2. Discrete distributionsDefine and distinguish betweenthese distributions: binomial,Poisson, hypergeometric,multinomial, etc. (Analyze)

D. Statistical Decision-making

1. Point estimates andconfidence intervals

Define, describe, and assess theefficiency and bias of estimators.Calculate and interpret standarderror, tolerance intervals, andconfidence intervals. (Evaluate)

2. Hypothesis testingDefine, interpret, and applyhypothesis tests for means,variances, and proportions. Applyand interpret the concepts ofsignificance level, power, type

I and type II errors. Define anddistinguish between statistical andpractical significance. (Evaluate)

3. Paired-comparison testsDefine and use paired-comparison (parametric)hypothesis tests, and interpretthe results. (Apply)

4. Goodness-of-fit testsDefine and use chi square and

other goodness-of-fit tests, andinterpret the results. (Apply)

5. Analysis of variance (ANOVA)Define and use ANOVAs andinterpret the results. (Analyze)

6. Contingency tablesDefine, construct, and usecontingency tables to evaluatestatistical significance. (Analyze)

E. Relationships Between Variables

1. Linear regressionCalculate the regression equationfor simple regressions and leastsquares estimates. Constructand interpret hypothesis testsfor regression statistics. Useregression models for estimationand prediction, and analyze




the uncertainty in the estimate.[Note: Nonlinear models andparameters will not be tested.](Analyze)

2. Simple linear correlationCalculate the correlation

coefficient and its confidenceinterval, and construct andinterpret a hypothesis test forcorrelation statistics. [Note:Serial correlation will not betested.] (Analyze)

3. Time-series analysisDefine, describe, and use time-series analysis including movingaverage, and interpret time-seriesgraphs to identify trends and

seasonal or cyclical variation.(Analyze)

F. Statistical Process Control (SPC)

1. Objectives and benefitsIdentify and explain objectivesand benefits of SPC such asassessing process performance.(Understand)

2. Common and special causesDescribe, identify, and

distinguish between thesetypes of causes. (Analyze)

3. Selection of variableIdentify and select characteristicsfor monitoring by control chart.(Analyze)

4. Rational subgroupingDefine and apply the principles ofrational subgrouping. (Apply)

5. Control charts

Identify, select, construct, and usevarious control charts, includingX—

-R, X—

-s, individuals and movingrange (ImR or XmR), movingaverage and moving range(MamR), p, np, c, u, and CUSUMcharts. (Analyze)

6. Control chart analysisRead and interpret controlcharts, use rules for determiningstatistical control. (Evaluate)

7. PRE-control chartsDefine and describe how thesecharts differ from other controlcharts and how they should beused. (Apply)

8. Short-run SPCIdentify, define, and use short-runSPC rules. (Apply)

G. Process and PerformanceCapability

1. Process capability studiesDefine, describe, calculate,and use process capabilitystudies, including identifying

characteristics, specifications,and tolerances, developingsampling plans for such studies,establishing statistical control,etc. (Analyze)

2. Process performance vs.specificationsDistinguish between naturalprocess limits and specificationlimits, and calculate percentdefective. (Analyze)

3. Process capability indicesDefine, select, and calculate Cp,Cpk, Cpm, and Cr, and evaluateprocess capability. (Evaluate)

4. Process performance indicesDefine, select, and calculate Ppand Ppk and evaluate processperformance. (Evaluate)

H. Design and Analysis of Experiments

1. TerminologyDefine terms such as dependentand independent variables,factors, levels, response,treatment, error, and replication.(Understand)

2. Planning and organizingexperimentsDefine, describe, and apply thebasic elements of designedexperiments, including

determining the experimentobjective, selecting factors,responses, and measurementmethods, choosing theappropriate design, etc. (Analyze)

3. Design principlesDefine and apply the principles ofpower and sample size, balance,replication, order, efficiency,randomization, blocking,interaction, and confounding.

(Apply)

4. One-factor experimentsConstruct one-factor experimentssuch as completely randomized,randomized block, and Latinsquare designs, and usecomputational and graphicalmethods to analyze thesignificance of results. (Analyze)




RememberRecall or recognize terms, definitions, facts,ideas, materials, patterns, sequences,methods, principles, etc.

UnderstandRead and understand descriptions,communications, reports, tables, diagrams,directions, regulations, etc.

Apply

Know when and how to use ideas,procedures, methods, formulas, principles,theories, etc.

AnalyzeBreak down information into its constituentparts and recognize their relationship toone another and how they are organized;identify sublevel factors or salient data froma complex scenario.

EvaluateMake judgments about the value ofproposed ideas, solutions, etc., bycomparing the proposal to specificcriteria or standards.

CreatePut parts or elements together in sucha way as to reveal a pattern or structurenot clearly there before; identify which

data or information from a complex set isappropriate to examine further or from whichsupported conclusions can be drawn.

Visit asq.org/certification for comprehensive exam information.

Levels of CognitionBased on Bloom’s Taxonomy—Revised (2001)In addition to content specifics, the subtext for each topic in this BOK also indicates theintended complexity level of the test questions for that topic. These levels are basedon “Levels of Cognition” (from Bloom’s Taxonomy—Revised, 2001) and are presentedbelow in rank order, from least complex to most complex.

5. Full-factorial experimentsConstruct full-factorial designsand use computational andgraphical methods to analyzethe significance of results.(Analyze)

6. Two-level fractionalfactorial experimentsConstruct two-level fractionalfactorial designs (includingTaguchi designs) and applycomputational and graphicalmethods to analyze thesignificance of results.(Analyze)

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