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Quality Engineer

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Certified Quality Engineer Quality excellence to enhance your career and boost your organization’s bottom line

Certification from ASQ is considered a mark of quality 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.

Information

Certified Quality Engineer

This website stores data such as cookies to enable The Certified Qualityessential Engineer is  is a professional who understands Engineersite functionality, asproduct well as marketing, the principles of and service quality evaluation and control. This body and of knowledge and applied technologies personalization, analytics. You include, inclu but areyour notsettings limited to, developmen devel opmentt and operation operation of mayde, change at any time quality control systems, application and analysis of testing and or accept the default settings.

inspection procedures, the ability to use metrology and statistical Examination

Each certification candidate is required to pass a Privacy Policy  written examination that consists of multiple-choice mul tiple-choice questions that measure comprehension of the Body  Marketing of Knowledge. The Quality Engineer examination is a one-part, 160-question, five-hour exam. It is Personalization offered in English.

Certified Analytics Quality Engineer Expectations

 Will have a fundamental understanding of quality  philosophies, principles, systems, methods, tools, standards, organizational and team dynamics, Save Acceptsupplier  All customer expectations and satisfaction, relations and performance, leadership, training, interpersonal relationships, improvement systems, and professional ethics.

methods to diagnose and correct improper quality control practices, an understanding of human factors and motivation, facility with quality cost concepts and techniques, and the knowledge and ability to develop and administer management  information informa tion systems and to audi auditt qual quality ity systems for deficiency  identification and correction.

 Will have a fundamental understanding of a quality system and its development, documentation, and implementation to domestic and international standards or requirements.

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

 Will have a basic understanding of the audit process including types of audits, planning, preparation, execution, reporting results, and follow-up.

 Will have a thorough understanding of problemsolving and quality improvement tools and techniques. This includes knowledge of management and planning tools, quality tools, preventive and corrective actions, and how to overcome barriers to quality  improvements.

 Will be ableincluding to develop and implement programs, tracking, analyzing,quality  reporting, and problem solving.  Will be able to plan, control, and assure product and process quality in accordance with quality principles,  which include planning processes, material control, acceptance sampling, and measurement systems.

 Will be able to acquire and analyze data using appropriate standard quantitative methods across a spectrum of business environments to facilitate process analysis and improvements.

 

Education and/or Experience

 You must have eight years of on-the-job experience  You in one or more of the areas of the Certified Quality  Quality  Engineer Body of Knowledge. A minimum of three  years of this experience must be in a decision-making position. “Decision-making” is defined as the authority  to define, execute, or control projects/processes and to be respo responsibl nsiblee for the outcome. This may or may  not include management or supervisory positions. If you were ever certified by ASQ as a Qualit Quality  y   Auditor, Reliability Engineer  Auditor, Engineer,, Software Quality  Engineer, or Manager, experience used to qualify  for certification in these fields applies to certification as a Quality Engineer.

If you have completed a degree* from a college, university, or technical school with accreditation accepted by ASQ, part of the eight-year experience requirement will be waived, as follows (only one of  these waivers may be claimed): • Diploma from a technical or trade school—one year   will be waived. • Associate degree—two years waived. • Bachelor’s degree—four years waived. • Master’s or doctorate—five years waived.

For comprehensive comprehensive exam informatio informationn on the Quality  Engineerr certificat Enginee certification, ion, visit  www.asq.org/certification  www.asq.org/certification .

*Degrees/diplomas from educational institutions outside the United States must be equivalent to  degrees from U.S. educational institutions.

Body of Knowledge

Certified Quali Quality ty Engi Engineer neer

The topics  in this Body of Knowledge (BOK) include subtext explanations and the cognitive level at which the questions will be written. 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 refers to 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. I   Management and Leadership

brainstorming, nominal group technique, conflict  resolution, force-field analysis, etc. (Analyze) F.   Communication Skills Describe and distinguish between various communication methods for delivering information and messages in a variety of situations across all levels of the organization. (Analyze) G.  Customer Relations Define, apply, and analyze the results of  customer relation measures such as quality  function deployment (QFD), customer satisfaction surveys, etc. (Analyze) H.  Supplier Management  Define, select, and apply various techniques including supplier qualification, certification, evaluation, ratings, performance improvement,

D.   Quality Audits 1.  Types of audits Describe and distinguish between various types of quality audits such as product, process, management (system), registration (certification), compliance (regulatory), first, second, and third party, etc. (Apply) 2.  Roles and responsibilities in audits Identify and define roles and responsibilities for audit participants such as audit team (leader and members), client, auditee, etc. (Understand) 3.  Audit planning and implementation Describe and apply the steps of a quality  audit, from the audit planning stage through conducting the audit, from the perspective of  an audit team member. (Apply) 4.  Audit reporting and follow-up Identify, describe, and apply the steps of audit  reporting and follow-up, including the need to  verify corrective action. (Apply) E.   Cost of Quality (COQ) (COQ) Identify and apply COQ concepts, including cost categories, data collection methods and classification, and reporting and interpreting results. (Analyze) F.   Quality Tr Training aining Identify and define key elements of a training program, including conducting a needs analysis, developing curricula and materials, and determining the program’s effectiveness. (Apply)

(15 Questions)  A.   Quality Philosophies and Foundations Foundations Explain how modern quality has evolved from quality control through statistical process control (SPC) to total quality management and leadership principles (including Deming’s 14 Points), and how quality has helped form various continuous improvement tools including lean, six sigma, theory of constraints, etc. (Remember) B.   The Quality Management Management System (QMS) (QMS) 1.  Strategic planning Identify and define top management’s responsibility for the QMS, including establishing policies and objectives, setting organization-wide goals, supporting quality initiatives, etc. (Apply) 2.  Deployment techniques ThisDefine, website stores such as describe, anddata use various deployment  tools in suppo support rt of the QMS: benchmarkin bench g, cookies to enable essential site marking, stakeholder identification and analysis, functionality, well as marketing, performanceasmeasurement tools, and project  management tools such as PERT charts, personalization, and analytics. You Gantt  charts, critical path method (CPM), may change your settings at anyresource time allocation, etc. (Apply) or3.accept the default settings.  Quality information system (QIS) Identify and define the basic elements of a QIS, including who will contribute data, the kind of data to be managed, managed, who will have Privacy Policy access to the data, the level of flexibility for  future information needs, data analysis, etc. Marketing (Remember) C.   ASQ Code of Ethics for Professional Conduct  Conduct  Personalization Determine appropriate behavior in situations requiring ethical decisions. (Evaluate)

II   The Quality Quality System (15 Questions)  A.   Elements of the Quality Quality System Define, describe, and interpret the basic elements of a quality system, including planning, control, and improvement, from product and process design through quality cost systems, audit programs, etc. (Evaluate) B.   Documentation of of the Quality System Identify and apply quality system documentation components, including quality policies, procedures to support the system, configuration management and document control to manage  work instructions, quality records, etc. (Apply)

 A.   Classification of Quality Characteristics Characteristics Define, interpret, and classify quality 

D.   Leadership Principles and Techniques Techniques Describe and apply various principles and techniques for developing and organizing teams Savequality initiatives. Accept All and leading (Analyze) E.   Facilitation Principles and Techniques Techniques Define and describe the facilitator’s role and responsibilities on a team. Define and apply 

C.   Quality Standards and Other Other Guidelines Define and distinguish between national and international standards and other requirements and guidelines, including the Malcolm Baldrige National Quality Award (MBNQA), and describe key points of the ISO 9000 series of standards and how they are used. [Note: used.  [Note: Industry-specific 

characteristics for new products anddefects processes. [Note: The classification of product is covered in IV.B.3.]  (Evaluate)   (Evaluate) B.   Design Inputs and Review  Identify sources of design inputs such as customer  needs, regulatory requirements, etc., and how  they translate into design concepts such as robust 

Analytics

etc. (Analyze) I.   Barriers to Quality Improvement  Improvement  Identify barriers to quality improvement, their  causes and impact, and describe methods for  overcoming them. (Analyze)

III  Product and Process Design  (25 Questions)

 various tools used with teams, including

standards will not be tested.]  (Apply)  (Apply)

design, QFD, and Design for X (DFX, where X design, can mean six sigma (DFSS), manufacturability 

 

(DFM), cost (DFC), etc.). Identify and apply  common elements of the design review process, including roles and responsibilities of participants. (Analyze) C.   Technical Drawings and Specifications Interpret technical drawings including characteristics such as views, title blocks, dimensioning, tolerancing, GD&T symbols, etc. Interpret specification requirements in relation to product and process characteristics. (Evaluate) D.  Design Verification Identify and apply various evaluations and tests to qualify and validate the design of new products and processes to ensure their fitness for use. (Evaluate) E.   Reliability and Maintainability  1.  Predictive and preventive maintenance tools Describe and apply these tools and techniques to maintain and improve process and product  reliability.. (Analyze) reliability 2.  Reliability and maintainability indices Review and analyze indices such as, MTTF, MTBF, MTTR, availability, failure rate, etc. (Analyze) 3.  Bathtub curve Identify, define, and distinguish between the basic elements of the bathtub curve. (Analyze) 4.  Reliability/Safety/Hazard Assessment Tools Define, construct, and interpret the results of  failure mode and effects analysis (FMEA), failure mode, effects, and criticality analysis (FMECA), and fault tree analysis (FTA). (Analyze)

D.   Measurement and Test  Test  1.  Measurement tools Select and describe appropriate uses of  inspection tools such as gage blocks, calipers, micrometers, optical comparators, etc. (Analyze) 2.  Destructive and nondestructive tests Distinguish between destructive and nondestructive measurement test methods and apply them appropriately. (Analyze) E.   Metrology  Identify, describe, and apply metrology techniques such as calibration systems, traceability to calibration standards, measurement error and its sources, and control and maintenance of  measurement standards and devices. (Analyze) F.   Measurement System Analysis (MSA) Calculate, analyze, and interpret repeatability  and reproducibility (Gage R&R) studies, measurement correlation, capability, bias, linearity, etc., including both conventional and control chart methods. (Evaluate)

 V    Continuous Improvement  (30  V    (30 Questions)

 A.   Quality Control Tools Tools Select, construct, apply, and interpret tools such as 1) flowcharts, 2) Pareto charts, 3) cause and effect diagrams, 4) control charts, 5) check sheets, 6) scatter diagrams, and 7) histograms. (Analyze) B.   Quality Management Management and Planning Tools Tools Select, construct, apply, and interpret tools such as 1) affinity diagrams, 2) tree diagrams, 3) process decision program charts (PDPC), 4) matrix diagrams, 5) interrelationship digraphs, 6) prioritization matrices, and 7) activity network  IV    Produ IV  Product ct and Process Control diagrams. (Analyze) (32 Questions)  A.   Tools C.   Continuous Improvement Improvement Techniques Techniques Define, identify, and apply product and process Define, describe, and distinguish between various control methods such as developing control plans, continuous improvement models: total quality  identifying critical control points, developing and management (TQM), kaizen, Plan-Do-Check-Act   validating work instructions, etc. (Analyze) (PDCA), six sigma, theory of constraints (TOC), lean, etc. (Analyze) B.   Material Control 1.  Material identification, status, and traceability  D.   Corrective Action Define and distinguish these concepts, and Identify, describe, and apply elements of the describe methods for applying them in various corrective action process including problem situations. [Note: situations.  [Note: Product recall procedures will  identification, failure analysis, root cause not be tested.]  (Analyze)  (Analyze) analysis, problem correction, recurrence control,  verification of effectiveness, etc. (Evaluate) 2.  Material segregation Describe material segregation and its E.   Preventive Action importance, and evaluate appropriate methods Identify, describe, and apply various preventive for applying it in various situations. (Evaluate) action tools such as error-proofing/poka yoke, robust design, etc., and analyze their  3.  Classification of defects Define, describe, and classify the seriousness effectiveness. (Evaluate) product and process defects. Thisofwebsite stores data such(Evaluate) as  VI  Quantitative Methods and Tools (43 Questions) 4.  Material review board (MRB) site cookies to enable essential  A.   Collecting and Summarizing Summarizing Data Identify the purpose and function of an MRB, functionality, as well as marketing, 1.  Types of data and make appropriate disposition decisions in personalization, and analytics. You Define, classify, and compare discrete  various situations. (Analyze) (attributes) and continuous (variables) may change your settings at any time C.   Acceptance Sampling data. (Apply)  Sampling or1.accept theconcepts default settings. 2.  Measurement scales Define, describe, and apply the concepts of  Define, describe, and use nominal, ordinal, producer and consumer risk and related terms, interval, and ratio scales. (Apply) including operating characteristic (OC) curves, acceptable Privacy Policyquality limit (AQL), lot tolerance 3.  Data collection methods percent defective (LTPD), average outgoing Describe various methods for collecting data, quality (AOQ), average outgoing quality limit  including tally or check sheets, data coding, Marketing (AOQL), etc. (Analyze) automatic gaging, etc., and identify their  strengths and weaknesses. (Apply) 2.  Sampling standards and plans Personalization Interpret and apply ANSI/ASQ Z1.4 and 4.  Data accuracy  Z1.9 standards for attributes and variables Describe the characteristics or properties of  Analytics sampling. Identify and distinguish between data (e.g., source/resource issues, flexibility, single, double, multiple, sequential, and  versatility,, etc.) and various types of data  versatility continuous sampling methods. Identify the errors or poor quality such as low accuracy, Save Accept All tables characteristics of Dodge-Romig sampling inconsistency, interpretation of data values, and when they should be used. (Analyze) and redundancy. redundancy. Identify factors that can influence data accuracy, and apply techniques 3.  Sample integrity  for error detection and Identify the techniques for establishing and

5.  Descriptive statistics Describe, calculate, and interpret measures of central tendency and dispersion (central limit theorem), and construct and interpret  frequency distributions including simple, categorical, grouped, ungrouped, and cumulative. (Evaluate) 6.  Graphical methods for depicting relationships Construct, apply, and interpret diagrams and charts such as stem-and-leaf plots, box-and whisker plots, etc. etc. [Note:  [Note: Run charts and  scatter diagrams are covered in V.A.]  (Analyze)  (Analyze) 7.  Graphical methods for depicting distributions Construct, apply, and interpret diagrams such as normal probability plots, Weibull plots, etc. [Note: Histograms are covered in V.A.]  (Analyze)  (Analyze) B.   Quantitative Concepts 1.  Terminology  Define and apply quantitative terms, including population, parameter, sample, statistic, random sampling, expected value, etc. (Analyze) 2.  Drawing statistical conclusions Distinguish between numeric and analytical studies. Assess the validity of statistical conclusions by analyzing the assumptions used and the robustness of the technique used. (Evaluate) 3.  Probability terms and concepts Describe and apply concepts such as independence, indepen dence, mutually exclusive exclusive,, multiplica multiplication tion rules, complementary probability, joint  occurrence of events, etc. (Apply) C.   Probability Distributions 1.  Continuous distributions Define and distinguish betweenbivariate these distributions: normal, uniform, normal, exponential, lognormal, Weibull, chi square, Student’s t, F, etc. (Analyze) 2.  Discrete distributions Define and distinguish between these distributions: binomial, Poisson, hypergeometric, multinomial, etc. (Analyze) D.   Statistical Decision-Making 1.  Point estimates and confidence intervals Define, describe, and assess the efficiency  and bias of estimators. Calculate and interpret  standard error, tolerance intervals, and confidence intervals. (Evaluate) 2.  Hypothesis testing Define, interpret, and apply hypothesis tests for means, variances, and proportions. Apply  and interpret the concepts of significance level, power, type I and type II errors. Define and distinguish between statistical and practical significance. (Evaluate) 3.  Paired-comparison tests Define and use paired-comparison (parametric) hypothesis tests, and interpret the results. (Apply) 4.  Goodness-of-fit tests Define and use chi square and other  goodness-of-fit tests, and interpret the results. (Apply) 5.  Analysis of variance (ANOVA) Define and use ANOVAs and interpret the results. (Analyze) 6.  Contingency tables Define, construct, and use contingency tables to evaluate statistical significance. (Analyze) E.   Relationships Between Between Variables Variables regression 1.  Linear Calculate the regression equation for simple regressions and least squares estimates. Construct and interpret hypothesis tests for  regression statistics. Use regression models for  estimation and prediction, and analyze the uncertainty in the estimate. [Note: estimate.  [Note: Nonlinear  models and parameters will not be tested.] 

maintaining sample integrity. (Analyze)

correction. (Apply)

(Analyze)

 

2.  Simple linear correlation Calculate the correlation coefficient and its confidence interval, and construct and interpret  a hypothesis test for correlation statistics. [Note: Serial correlation will not be tested.]  (Analyze) 3.  Time-series analysis Define, describe, and use time-series analysis including moving average, and interpret  time-series graphs to identify trends and seasonal or cyclical variation. (Analyze) F.   Statistical Process Process Control (SPC) 1.  Objectives and benefits Identify and explain objectives and benefits of  SPC such as assessing process performance. (Understand) 2.  Common and special causes Describe, identify, and distinguish between these types of causes. (Analyze) 3.  Selection of variable Identify and select characteristics for  monitoring by control chart. (Analyze) 4.  Rational subgrouping Define and apply the principles of rational subgrouping. (Apply) 5.  Control charts Identify, select, construct, and use various control charts, including X-R, X-s, individuals and moving range (ImR or XmR), moving average and moving range (MamR), p, np, c, u, and CUSUM charts. (Analyze) (Analyze)

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6.  Control chart analysis Read and interpret control charts, use rules for determining statistical control. (Evaluate) 7.  PRE-control charts Define and describe how these charts differ from other control charts and how  they should be used. (Apply) 8.  Short-run SPC Identify, define, and use short-run SPC rules. (Apply) G.  Process and Performance Capability  1.  Process capability studies Define, describe, calculate, and use process capability studies, including identifying characteristics, specifications, and tolerances, developing sampling plans for such studies, establishing statistical control, etc. (Analyze) 2.  Process performance vs. specifications Distinguish between natural process limits and specification limits, and calculate percent  defective. (Analyze) 3.  Process capability indices Define, select, and calculate Cp, Cpk, Cpm, and Cr, and evaluate process capability. capability. (Evaluate) 4.  Process performance indices Define, select, and calculate  P p and  P pk and evaluate process performance. (Evaluate) H.   Design and Analysis of of Experiments 1.  Terminology  Define terms such as dependent and independent variables, factors, levels,

response, treatment, error, and replication. (Understand) 2.  Planning and organizing experiments Define, describe, and apply the basic elements of designed experiments, including determining the experiment objective, selecting factors, responses, and measurement methods, choosing the appropriate design, etc. (Analyze) 3.  Design principles Define and apply the principles of power  and sample size, balance, replication, order, efficiency, randomization, blocking, interaction, and confounding. (Apply) experiments 4.  One-factor Construct one-factor experiments such as completely randomized, randomized block, and Latin square designs, and use computational and graphical methods to analyze the significance of results. (Analyze) 5.  Full-factorial experiments Construct full-factorial designs and use computational and graphical methods to analyze the significance of results. (Analyze) 6.  Two-level fractional factorial experiments Construct two-level fractional factorial designs (including Taguchi designs) and apply computational and graphical methods to analyze the significance of results. (Analyze)

 

Levels of Cognition

Based on Bloom’s Taxonomy – Revised (2001)  In addition to content specifics, the subtext for  each topic in this BOK also indicates the intended complexity level of the test questions for that  topic. These levels are based on “Levels of  Cognition” (from Bloom’s (from  Bloom’s Taxonomy – Revised, 2001) and are presented below in rank order, from least complex to most complex. Remember (Knowledge Level) Recall or recognize terms, definitions, facts, ideas, materials, patterns, sequences, methods, principles, etc. Understand (Comprehension Level)  Read and understand descriptions, communications, reports, tables, diagrams, directions, regulations, etc.  Apply (Application Level) Know when and how  to use ideas, procedures, methods, formulas, principles, theories, etc.  Analyze (Analysis Level) Break down information into its constituent parts and recognize their  relationship to one another and how they are organized; identify sublevel factors or salient  data from a complex scenario. Evaluate (Evaluation Level)  Make judgments about the value of proposed ideas, solutions, etc., by comparing the proposal to specific criteria or standards. Create (Synthesis Level)  Put parts or elements together togeth er in such a way as to reveal a patte pattern rn or  structure not clearly there before; identify which data or information from a complex set are appropriate to examine further or from which supported conclusions can be drawn.

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