Quality Engineering - Introduction

The Certified Quality Engineer (CQE) is a professional who understands the principles of product and service quality evaluation and control. This body of knowledge and applied technologies include, but are not limited to, development and operation of quality control systems, application and analysis of testing and inspection procedures, the ability to use metrology and statistical methods to diagnose and correct improper quality control practices, an understanding of human factors and motivation, familiarity with quality cost concepts and techniques, and the knowledge and ability to develop and administer management information systems and to audit quality systems for deficiency identification and correction.

CQE

Computer Delivered - The CQE

examination is a one-part, multiple

choice 175-question exam and is

offered in English only. 160 multiple

choice questions are scored and 15

are unscored. Total appointment time

is five-and-a-half hours, exam time

is 5 hours and 18 minutes.

Paper and Pencil – The CQE

examination is a one-part,

160-question, five-hour exam and is

offered in Mandarin and Korean in

certain locations.

INFORMATION

For comprehensive exam information on the Quality Engineer certification,

visit asq.org/cert.

The ASQ Certified Quality Engineer

D. Measurement and Test

1. Measurement tools

Select and describe appropriate

uses of inspection tools such as

gage blocks, calipers, micrometers,

optical comparators, and coordinate

measuring machines (CMM).

(Analyze)

2. Destructive and

nondestructive tests

Identify when destructive and

nondestructive measurement test

methods should be used and apply

the methods appropriately. (Apply)

E. Metrology

Apply metrology techniques such as calibration, traceability to calibration

standards, measurement error and its

sources, and control and maintenance

of measurement standards and devices.

(Apply)

F. Measurement System Analysis (MSA)

Calculate, analyze, and interpret repeatability and reproducibility (gage R&R) studies, measurement correlation, capability, bias, linearity, precision, stability and accuracy, using MSA quantitative and graphical methods. (Evaluate)

V. Continuous Improvement  (26 Questions)

A. Quality Control Tools

Select, construct, apply, and interpret the

following quality control tools:

1. Flowcharts

2. Pareto charts

3. Cause and effect diagrams

4. Control charts

5. Check sheets

6. Scatter diagrams

7. Histograms (Analyze)

B. Quality Management

and Planning Tools

Select, construct, apply, and interpret

the following quality management and

planning tools:

1. Affinity diagrams

and force field analysis

2. Tree diagrams

3. Process decision

program charts (PDPC)

4. Matrix diagrams

5. Interrelationship digraphs

6. Prioritization matrices

7. Activity network diagrams

(Analyze)

C. Continuous Improvement

Methodologies

Define, describe, and apply the following

continuous improvement methodologies:

1. Total quality management (TQM)

2. Kaizen

3. Plan-do-check-act (PDCA)

4. Six Sigma

(Analyze)

D. Lean tools

Define, describe, and apply the following

lean tools:

1. 5S

2. Value stream mapping

3. Kanban

4. Visual control

5. 8 Wastes

6. Standardized work

7. Takt time

8. Single minute exchange

of die (SMED)

9. Overall equipment effectiveness

(OEE) (Evaluate)

E. Corrective Action

Identify, describe, and apply elements of

the corrective action process, including

problem identification, failure analysis,

root cause analysis, 5 Whys, problem

correction, recurrence control, and

verification of effectiveness. (Evaluate)

F. Preventive Action

Identify, describe, and apply various

preventive action tools such as error

proofing/poka-yoke, and robust design,

and analyze their effectiveness. (Evaluate)

VI. Quantitative Methods and Tools (34 Questions)

A. Collecting and Summarizing Data

1. Types of data

Define, classify, and compare

discrete (attributes) and continuous

(variables) data. (Apply)

2. Measurement scales

Define and describe nominal,

ordinal, interval, and ratio scales.

(Understand)

3. Data collection methods

Describe various methods for

collecting data, including tally or

check sheets, data coding, automatic

gaging, data automation, database

integration, and identify the strengths

and weaknesses of the methods.

(Apply)

Data accuracy and integrity

Identify factors that can influence

data accuracy such as source/

resource issues, flexibility, versatility,

inconsistency, inappropriate

interpretation of data values, and

redundancy to ensure data accuracy

and integrity. (Apply)

5. Data visualization techniques

Apply and interpret data visualization

techniques using dashboards, and

select the appropriate metrics for

dashboards. (Apply)

6. Descriptive statistics

Describe, calculate, and interpret

measures of central tendency and

dispersion, apply the central limit

theorem, and construct and interpret

frequency distributions, including

simple, categorical, grouped,

ungrouped, and cumulative. (Evaluate)

7. Graphical methods for

depicting distributions

Apply and interpret diagrams such

as probability plots for normal and

other distributions. (Note: Histograms

are covered in V.A.) (Analyze)

B. Quantitative Concepts

1. Terminology

Define and apply quantitative terms,

including population, parameter,

sample, statistic, random sampling,

and expected value. (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 concepts such as

independence, mutual exclusivity,

multiplication rules, complementary

probability, and joint occurrence

of events. (Apply)

C. Probability Distributions

1. Continuous distributions

Define and distinguish between these

distributions such as normal, uniform,

exponential, lognormal, Weibull,

Student’s t, and F. (Analyze)

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, and establishing statistical

control. (Analyze)

2. Process performance

vs. specifications

Distinguish between natural process

limits and specification limits, and

calculate percent defective, defects

per million opportunities (DPMO), and

parts per million (PPM). (Analyze)

3. Process capability indices

Define, select, and calculate Cp, Cpk,

Cpm, and Cr, and evaluate process

capability. (Evaluate)

4. Process performance indices

Define, select, and calculate Pp

and Ppk, and evaluate process

performance. (Evaluate)

H. Design and Analysis

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

Identify the basic elements of designed

experiments, including determining

the experiment objective, selecting

factors, responses, and measurement

methods, and choosing the

appropriate design. (Analyze)

3. Design principles

Define and apply the principles of

power and sample size, balance,

replication, order, efficiency,

randomization, blocking, interaction,

and confounding. (Apply)

4. Full-factorial experiments

Construct full-factorial designs and

use computational and graphical

methods to analyze the significance of

results. (Analyze)

5. Two-level fractional

factorial experiments

Construct two-level fractional

factorial designs and apply

computational and graphical

methods to analyze the significance of

results. (Analyze)

VII. Risk Management

(21 Questions)

A. A. Risk Fundamentals

1. Risk terminology

Define, describe, and apply risk

terminology such as risk, risk

management, severity, occurrence,

detection, and risk-based thinking.

(Analyze)

2. Types of risk management

Understand and apply various types

of enterprise (strategic, software,

business, regulatory, medical, audit),

operational (supplier, supply chain,

safety, project, manufacturing,

operations, service, quality system),

and product (design, process, use,

safety) risk management. (Apply)

B. Risk Planning and Assessment

1. Risk management plan

Analyze and interpret a risk

management plan and its components

(objectives, risk criteria, stakeholder

identification, and team member

roles/responsibilities) to identify and

prioritize risks. (Analyze)

2. Risk assessment

Apply categorization methods and

evaluation tools to assess risk such

as failure mode and effects analysis.

Identify and apply evaluation metrics

including the use of risk matrices, risk

priority numbers, and acceptability

criteria. (Analyze)

ASQ Quality Engineer Handbook

https://asqassets.widen.net/s/txq7mpvlmj/43718-cqe-cert-insert

Quality Metrology Engineer (2024 advertisement)

Brunk Industries, Inc., a globally recognized industry leader specializing in high precision metal components for the Medical device industry, as well as other high-tech applications, is currently seeking a Quality Engineer with a strong background in Metrology. If you are motivated by new opportunities and business growth, seek a stimulating and rewarding career, we invite you to join our diverse team of talented professionals. Brunk offers a competitive salary, a wide range of attractive benefits, a flexible work environment and a culture built on innovation and excellence

Job Function:

Manage, develop, and approve development of incoming, raw material, all process, final inspection testing, and documentation responsibilities in accordance to Brunk Quality System to ensure that all components meet specifications.

Responsibilities:

Complete documented training and fully understand all SOPs/WIs that apply to the Engineer duties.

Develop and initiate standards and methods for inspection and testing. Automate inspection process using OGP Measuremind 3D and Zone 3 software’s.

Perform and analyze capability studies, GR&R’s, FAI reports on products in development phase.

Work with Manufacturing Engineering and Operations to update and maintain Process Flows, Process Control Plan and FMEA.

Provide training and mentoring of quality functions.

Manage and/or coordinate process troubleshooting and/or improvement activities.

Promote teamwork and effective communication within the department as well as peers and management.

Required Skills:

Broad knowledge of high-volume precision metal stamping process and metal finishing processes.

Advanced knowledge of programming CMMs and automated vision systems/OGP using Measuremind 3D and Zone 3 software’s.

Advanced knowledge and ability to interpret blueprint/drawing.

Advanced knowledge and ability to interpret GD&T.

Advanced knowledge and ability to interpret SPC using advanced statistics in JMP and Minitab.

Advanced knowledge and ability to interpret internal, customer, federal, and international specifications.

Advanced knowledge of micrometers, calipers, indicators, comparators and force testers.

Advanced knowledge of Microsoft Excel and an ERP system.

Excellent documentation practices, highly detail oriented.

Excellent communication skills, work independently while maintaining a team environment.

Education:

Minimum educational requirements listed below may be substituted by relevant experience, learned competencies and/or certifications obtained throughout one’s career.

4-year degree in Engineering or equivalent work experience is preferred.

Minimum 7 years quality experience in a manufacturing setting. Medical device component manufacturing desired.

ISO 13485 or equivalent experience desired.

ASQ Certified Quality Engineer desired.

Please complete an application or submit your resume, including salary history.

Brunk Industries, Inc. Attn: Human Resources, 1225 Sage Street, Lake Geneva, WI 53147

Fax: (262) 249-2479   EOE

https://www.brunk.com/careers/quality-metrology-engineer/

Organizations Investing in Artificial Intelligence Solutions To Bolster Quality Engineering

December 4, 2023

https://metrology.news/organizations-investing-in-artificial-intelligence-solutions-to-bolster-quality-engineering/

WORLD QUALITY REPORT 2023-24

Welcome to the 15th edition of our World Quality Report (WQR)

Capgemini and Sogeti are publishing this report with our strategic technology partner OpenText. The topics covered are as far-reaching as possible to capture the nuances and trends in the industry, with key findings and recommendations across several key focus areas: business assurance, agile quality management, QE lifecycle automation, AI, quality ecosystem, digital core reliability, intelligent product testing, and sustainability

 https://www.capgemini.com/insights/research-library/world-quality-report-2023-24/

Moving from Quality Assurance to Quality Engineering. A brief history in time and what lies ahead.

Nitin Mehra

Senior Director, Software Engineering at Indeed.com

October 18, 2015

My comment on the article.

Quality is to be produced by the developer. Testing is to be done by the developer and also by user and also by specialist quality staff. Inspection and testing by specialist staff is being termed non-value adding. Quality engineering has to focus on developer first.

https://www.linkedin.com/pulse/moving-from-quality-assurance-engineering-brief-history-nitin-mehra/

The International Journal of Metrology and Quality Engineering (IJMQE) is devoted to articles dealing with applied metrology and quality tools for process improvement in research (in environment, health, food, energy, aerospace, automotive, …). The International Journal of Metrology and Quality Engineering's main focus is related to measurement, sensors and instrumentation, products and systems reliability and safety, conformity assessment, process control, data sciences and quality management.

https://www.metrology-journal.org/about-the-journal/aims-and-scope

Quality Engineering by Prof. D.G. Mahato

A quality Engineer is responsible for developing, implementing, and maintaining quality systems and products at all stages and processes. These #systems #measure, #monitor, and #control product quality. The roles and responsibilities include process quality, product quality, work in progress, quality control of incoming materials, Outgoing finished products, Quality system and audit, Framing Quality policies and #procedures etc.

To be a well qualified quality engineer in an industry Bachelors Degree in Engineering is required . Through your education, you'll learn al the essentials of quality needs in an organization, including regulations (both state and national), #documentation, and testing practices. You have to supplement yourself with practical exposure. So your vibrancy, your #dedication, putting your #heart and #soul in learning quality tools and technologies will make your #future bright... Accentuate the Positive; Eliminate the Negative, latch onto the affirmative. This will enable you to build a perfect Quality Engineer.

If yes, then decide to be a Quality Engineer. Great to look for the most evolving profession...

Wrteup by Prof D.G. Mahato

Very interesting write-up. Quality engineers are required in every branch of engineering. Quality is not testing alone. Quality engineer has to know the process of production of goods or services and be able to locate and correct the manufacturing tasks to get quality output. And then he has to train the operators in the modified method.

Ud. 12.3.2024, 27.1.2024

Pub. 11.2.2022