CQE Certified Quality EngineerExam Questions and Answers

Concurrent engineering is an approach to product development where multiple phases of the design process are carried out simultaneously to reduce time-to-market and improve product quality.

Concurrent engineering is a systematic approach to integrated product development that emphasizes the parallelization of tasks (i.e., performing tasks concurrently), which contrasts with the traditional sequential engineering design method.

Design Failure Mode and Effects Analysis (DFMEA) is a systematic method for evaluating a design to identify potential failure modes, their causes, and effects, and to prioritize the actions to mitigate these failures.

Identify Personnel Responsible for Implementation:

While important for action plans, it is not the primary focus of DFMEA.

Predict Failure Frequencies:

DFMEA does consider failure frequencies, but the primary goal is to address and mitigate failures.

Minimize Measurement Variation:

This is more relevant to process control and not the primary focus of DFMEA.

Mitigate Failure Modes:

The main objective of DFMEA is to identify potential failure modes and implement actions to reduce or eliminate the risks associated with these failures.

This involves analyzing the design to foresee where it might fail and taking preventive measures to improve reliability and safety.

References: Quality engineering and risk management texts, specifically those discussing the principles and objectives of DFMEA.

 Registration to ISO 9001 requires a third-party audit conducted by an accredited certification body.

 Third-party audits are independent assessments to verify compliance with the ISO 9001 standard.

 These audits ensure that the quality management system meets the requirements and is effectively implemented.

 References: ISO 9001 guidelines and certification processes, as detailed in the "ISO 9001:2015 Quality Management Systems – Requirements" document.

Customers rate their suppliers to evaluate and compare the performance and quality of different suppliers. This helps in making informed decisions about which supplier to choose based on various factors such as quality, cost, and reliability. Among the given options, the most appropriate reason is: Reason : Comparing multiple sources of the same item allows the customer to choose the best supplier based on performance metrics.

In value stream analysis, inspection is typically classified as non-value added. This is because inspection does not directly transform the product or add value from the customer's perspective. Instead, it is an activity that checks for defects or issues, which ideally should be prevented by improving the processes.

References:

Rother, M., & Shook, J. (1999). Learning to See: Value Stream Mapping to Add Value and Eliminate MUDA. Lean Enterprise Institute.

Liker, J.K. (2004). The Toyota Way: 14 Management Principles from the World's Greatest Manufacturer. McGraw-Hill.

A prioritization matrix is a tool that helps determine the best option from many choices based on their importance and merits. It evaluates and prioritizes different options using specific criteria and assigns scores to facilitate decision-making.

The total cost of external failures includes warranty, customer complaints, and product liability. Summing these costs:

Warranty: $2,000

Customer complaints: $6,000

Product liability: $1,000

Total external failure cost = $2,000 + $6,000 + $1,000 = $9,000

The Student's t statistic is calculated as follows:

t = (X̄ - μ) / (s / √n)

Given:

Sample mean (X̄) = 515

Population mean (μ) = 500

Sample standard deviation (s) = 9

Sample size (n) = 6

t = (515 - 500) / (9 / √6) = 15 / (9 / 2.45) ≈ 3.73

References:

Montgomery, D.C., & Runger, G.C. (2010). Applied Statistics and Probability for Engineers. Wiley.

NIST/SEMATECH. (n.d.). e-Handbook of Statistical Methods. Retrieved from https://www.itl.nist.gov/div898/handbook/

 Error-proofing, or "poka-yoke," is a technique used to prevent errors by designing processes, equipment, or fixtures to avoid mistakes.

 Fixture design involves creating jigs, fixtures, or tooling that ensure parts are correctly positioned and assembled, thereby preventing errors.

 Housekeeping, equipment calibration, and double sampling do not inherently prevent errors by design.

 References: The concept of error-proofing is detailed in quality engineering literature, such as "Poka-Yoke: Improving Product Quality by Preventing Defects" by Shigeo Shingo.

Robustness in statistical conclusions often refers to the ability to draw valid conclusions even when certain assumptions are violated. One of the critical factors for robustness is high statistical power, which refers to the probability of correctly rejecting the null hypothesis when it is false. Reason : High statistical power increases the likelihood that the test will detect a true effect if it exists, thereby supporting the validity of the conclusions.

When nonconforming items are found, the first action should be to identify and label them clearly. This prevents further processing or use and ensures proper handling of these items. Identification is critical before taking any further actions such as retesting, destruction, or returning to the supplier. Reference: ISO 9001:2015, Clause 8.7 - Control of Nonconforming Outputs, which specifies the need for clear identification and segregation of nonconforming products.

A run chart, also known as a run-sequence plot, is a basic tool for analyzing data over time.

Process Stability:

Stability is analyzed using the run chart, but it is not an essential element of the chart itself.

Defect Classifications:

While defects can be plotted, they are not essential to all run charts.

Special Causes:

Identifying special causes can be an outcome of analyzing a run chart, but it is not an essential element.

Time Sequence:

The essential element of a run chart is the time sequence. It plots data points in time order to show trends, shifts, or cycles.

This temporal plotting helps in understanding how the process changes over time.

References: Statistical process control literature and quality management resources discussing run charts.

The producer's risk, also known as Type I error or alpha risk, is the risk of rejecting a lot that meets the acceptance criteria. It can be determined from the acceptance quality limit (AQL), which is the maximum percentage of defectives that is considered acceptable during random sampling of an inspection lot. The AQL is used in conjunction with sampling plans to assess the quality of a lot and make decisions about its acceptance or rejection.

In Failure Mode and Effects Analysis (FMEA), the focus should be on implementing corrective actions on items that have high Risk Priority Numbers (RPN) or high severity values. The RPN is calculated by multiplying the severity, occurrence, and detection ratings, and it helps prioritize which failure modes need immediate attention.

Management commitment is the most crucial aspect of a successful quality improvement effort. Without the active involvement and support of management, quality initiatives are less likely to receive the necessary resources, attention, and prioritization. Management commitment includes setting clear quality goals, providing the required resources, and leading by example to foster a culture of continuous improvement. This ensures that quality improvement is integrated into the organizational strategy and receives ongoing support and reinforcement.

References:

Juran, J.M., & Gryna, F.M. (1993). Quality Planning and Analysis: From Product Development through Use. McGraw-Hill.

Crosby, P.B. (1979). Quality is Free. McGraw-Hill.

The primary purpose of the Material Review Board (MRB) is to review and determine the appropriate disposition of nonconforming products. The MRB evaluates the nonconformities, decides whether the products can be reworked, used as-is, or must be scrapped, and ensures that corrective actions are implemented to prevent recurrence.

References:

"The Certified Quality Engineer Handbook" by Connie M. Borror.

ASQ Glossary: Material Review Board (MRB)

In the provided drawing, the symbol marked "A" is being used to indicate a datum. A datum is a reference point, line, or surface used as a basis for measurement and to establish the location or orientation of other features. It serves as a starting point for dimensional control and ensures consistency in the manufacturing process.

Statistical Process Control (SPC) was originated by Walter A. Shewhart. Shewhart introduced the concept of control charts in the 1920s while working at Bell Laboratories. His pioneering work laid the foundation for the field of quality control and process management. References:

Statistical Method from the Viewpoint of Quality Control by Walter A. Shewhart.

ASQ Quality Press: The Certified Quality Engineer Handbook.

Destructive test methods are those that cause damage or permanent alteration to the specimen being tested.

Radiography:

Non-destructive method using X-rays or gamma rays to view the internal structure.

Acoustic Emission:

Non-destructive technique detecting transient elastic waves produced by a sudden redistribution of stress.

Corrosion:

Destructive process where materials are degraded due to chemical reactions with their environment.

Magnetic Particle:

Non-destructive method using magnetic fields to detect surface and near-surface discontinuities.

Corrosion testing inherently destroys or alters the material being tested, categorizing it as a destructive method.

References: Materials testing standards and non-destructive testing (NDT) handbooks.

A probability plot is used to evaluate whether a data set follows a specified distribution, such as the normal distribution. By plotting the data against the expected values of the distribution, one can visually assess normality.

References:

Montgomery, D.C., & Runger, G.C. (2010). Applied Statistics and Probability for Engineers. Wiley.

NIST/SEMATECH. (n.d.). e-Handbook of Statistical Methods. Retrieved from https://www.itl.nist.gov/div898/handbook/

The process performance index (Ppk) measures the performance of a process relative to the specification limits, accounting for the mean and variability of the process. It is an indicator of how well the process can produce output within the specification limits.

References:

Montgomery, D.C. (2009). Introduction to Statistical Quality Control. Wiley.

ASQ. (n.d.). Process Performance (Pp, Ppk). Retrieved from https://asq.org/quality-resources/process-performance

P

During the closing meeting of an external audit, a critical component is providing an explanation of the findings to ensure that all parties understand the audit results. This step is essential for clarity and sets the stage for discussing potential corrective actions and follow-up activities. Reference: "The ISO 19011:2018 Guidelines for Auditing Management Systems," which outlines the key components of audit closing meetings.

To detect subsurface flaws, a method that can penetrate the surface of the material and reveal flaws below the surface is required. Visual inspection and liquid penetrant tests are typically used for surface defects, while the Rockwell test measures hardness. Magnetic particle testing, however, is

Magnetic particle testing (MT) is a non-destructive testing method used to detect surface and near-surface flaws in ferromagnetic materials. It involves magnetizing the material and applying ferrous particles that gather around discontinuities, making subsurface flaws detectable.

The situation described is an example of an unintended consequence. Each module functions as intended individually, but when combined, the overall system's performance is suboptimal. This situation often arises when interactions between modules are not fully considered, leading to unforeseen issues that degrade overall system performance.

For a normal distribution, the value of kkk that corresponds to the central 75% of the observations can be found using standard normal distribution properties.

Normal Distribution:

The total area under the normal curve is 1 (or 100%).

Central 75%:

This means the middle 75% of the distribution is within a range of ±k\pm k±k standard deviations from the mean.

The remaining 25% is split equally on both tails, so each tail has 12.5%.

Z-Scores:

The Z-score for 87.5% cumulative probability (100% - 12.5%) corresponds to the value of kkk.

Looking up the Z-score in standard normal distribution tables or using statistical software, we find Z≈1.28Z \approx 1.28Z≈1.28.

References: Statistical tables for normal distribution and probability theory texts.

One of the primary advantages of a ship-to-stock program is that it reduces dock-to-line time. This program streamlines the process by allowing materials to be delivered directly to the production line without the need for incoming inspection, thus speeding up the supply chain and reducing inventory holding costs. References:

ASQ Quality Press: The Certified Quality Engineer Handbook.

Lean Supply Chain and Logistics Management by Paul Myerson.

An ISO-compliant quality system requires a structured approach to identifying and addressing training needs.

Allowing Employees to Identify Their Own Training Needs:

This can lead to inconsistent and subjective training requirements.

Conducting a Needs Analysis for Each Job Category:

This method ensures that training is aligned with the specific requirements and responsibilities of each job role.

A needs analysis assesses the skills and competencies required for each job and identifies any gaps that training can address.

Requiring All Employees to Complete the Same Training Courses:

This approach may not address the specific needs of different job roles and can be inefficient.

Requiring Supervisors to Identify Training for Their Employees:

While supervisors can provide input, a comprehensive needs analysis is more effective for ensuring systematic and thorough identification of training needs.

References: ISO 9001:2015 standards and guidelines on training and competency.

When developing materials for a quality training program, the most effective to least effective methods are:

Job related examples (3)

Case studies (1)

General examples (2)

Theory (4)

This ranking emphasizes practical, relevant, and specific training content over more theoretical or generalized examples.

 The fishbone diagram, also known as the Ishikawa or cause-and-effect diagram, is used to identify and evaluate all possible causes of a problem.

 It visually organizes potential causes into categories, helping to isolate the most probable ones.

 This tool is effective for brainstorming and systematically analyzing the root causes of a quality issue.

 References: ASQ's "Quality Toolbox" and Ishikawa's original works on cause-and-effect diagrams.

When developing a quality information system, the most important factor is understanding and addressing the needs of the end user. This ensures the system is functional, user-friendly, and meets the requirements for which it was designed. End-user needs dictate the system's features, usability, and overall effectiveness. Reference: ISO 9001:2015 - Quality management systems -- Requirements, which emphasizes the importance of customer focus in designing quality management systems.

In reliability testing, operating an item to stabilize its characteristics is known as burn-in. This process helps in identifying and eliminating early-life failures by running the equipment for a specified period under controlled conditions, thus ensuring more reliable performance in actual use.

 A system audit evaluates the overall quality management system (QMS) of an organization to ensure it conforms to established standards, such as ISO 9001.

 This type of audit examines whether the processes and activities are effectively integrated and implemented to achieve quality objectives.

 It focuses on the adequacy and compliance of the entire QMS rather than individual processes or products.

 References: ISO 9001 and the ASQ "Quality Audits for Improved Performance" emphasize the role of system audits in assessing conformance to quality programs.

To ensure traceability from design and production through to end-user receipt and use, a company must develop a robust product identification system. This system involves assigning unique identifiers to each product or batch, which can be tracked throughout the entire supply chain. This allows for effective tracking of production history, quality control, and accountability in the event of product issues or recalls.

References:

"Traceability in the Food and Feed Chain" by IFSQN.

ISO 9001:2015, Quality Management Systems – Requirements

Buy-in at all levels of management is critical for the success of quality initiatives. When all management levels are aligned and supportive of quality goals, it ensures that these initiatives are prioritized and integrated into daily operations. This comprehensive support fosters a culture of quality throughout the organization, making it easier to implement and sustain quality improvements.

References:

Juran, J.M., & Gryna, F.M. (1993). Quality Planning and Analysis: From Product Development through Use. McGraw-Hill.

Deming, W.E. (1986). Out of the Crisis. MIT Press.

The Plan-Do-Check-Act (PDCA) cycle specifies the use of a feedback cycle. It is a continuous loop of planning, doing, checking, and acting, aimed at continuous improvement and problem-solving in quality management.

 The client, or the party commissioning the audit, has the primary responsibility for defining the purpose and scope of the audit.

 The client sets the objectives, scope, and criteria to ensure the audit meets their specific needs and requirements.

 The audit manager and auditor may assist in refining the scope and purpose but the initial determination lies with the client.

 References: The ASQ "Auditing Handbook" and ISO 19011:2018 guidelines on auditing management systems outline the client's role in defining audit scope and objectives.

To collect data on the location of each leak on defective tanks, the most appropriate tool is a check sheet. A check sheet allows for the systematic recording and compiling of data, making it easy to identify and locate defects. Reason : A check sheet is used to collect data in a structured manner and is particularly useful for tracking the frequency and location of defects.

A Failure Mode and Effect Analysis (FMEA) is used to identify and prioritize potential failure modes in a system and their effects. The advantage of FMEA is its ability to communicate risk effectively to different stakeholders, ensuring that everyone is aware of potential issues and their impacts, facilitating better decision-making and risk mitigation.

The expected number of rejects per sample can be calculated using the reject rate and the sample size. Given a reject rate of 6% (or 0.06) and a sample size of 5:

Expected number of rejects per sample = 0.06 * 5 = 0.3

References:

Montgomery, D.C. (2009). Introduction to Statistical Quality Control. Wiley.

ASQ. (n.d.). Basic Quality Tools. Retrieved from https://asq.org/quality-resources/basic-quality-tools