FREE Certified Six Sigma Black Belt Trivia Questions and Answers
The Response Surface Method, Fractional Factorial, and ___________ are examples of designed experiments.
Fractional Factorial Design, Factorial Design, and Response Surface Method are all types of planned experiments commonly used in various fields of science, engineering, and research.
An experiment's design is orthogonal if all potential variable pair sums are zero.
Orthogonality is an essential property of experimental designs, particularly in factorial experiments, to ensure efficient estimation of factors' effects and prevent confounding.
Using the presumption that each test will provide the opportunity for crucial fine tuning, Dr. Deming devised a process that prioritizes trial and error over lengthy planning and aiming for perfection up front. Frequently used in conjunction with A3 Documentation.
PDCA (Plan-Do-Check-Adjust), also known as the Deming Cycle or Shewhart Cycle. However, it was not developed by Dr. Deming but by Dr. Walter A. Shewhart, a pioneer in statistical quality control. Dr. Deming, a prominent figure in the quality management field, did extensively promote and popularize the PDCA cycle as part of his teachings on continuous improvement.
Which of these is included in the Control Plan that a Belt and the Project Team produce when a process improvement is finished and validated?
After completing and validating an improvement to a process, a Belt (referring to a Six Sigma Belt, such as a Green Belt or Black Belt) and the Project Team create a Control Plan. The Control Plan is a crucial document in process improvement and quality management, as it outlines the steps to maintain the gains achieved during the improvement process and ensures continued compliance with the desired process changes.
Dr. Shewhart created control charts to track data over time. Which of these do the Control Charts employ to identify Special Cause variation?
Control Charts were indeed developed by Dr. Walter A. Shewhart in the 1920s to track data over time and to detect Special Cause variation in processes. Control Charts are a fundamental tool in Statistical Process Control (SPC), which is used to monitor and maintain process stability and control.
The process of producing several units of a specific item in order to achieve financial efficiency.
Batching is the practice of making or processing large lots of a particular item or task at once. It is a common approach used in many industries to gain economic efficiencies, especially in traditional mass production systems.
The ideal state of processes is one in which products and services proceed through each stage at the rate required by customers. This indicates that there aren't any process bottlenecks or other types of waste.
By achieving flow in processes, organizations can improve throughput, reduce lead times, increase efficiency, and enhance customer satisfaction. Flow is a central concept in Lean thinking, and its realization requires ongoing efforts to streamline processes, eliminate waste, and continuously improve the system's performance.
In an effort to streamline and lower costs related to the production of Product A, a Black Belt practitioner is employed to identify a number of Critical to Price (CTP) variables. CTP considerations include the following, EXCEPT:
All the elements affecting a process's costs collectively constitute a Critical to Price (CTP). To determine the entire cost of producing a product, component costs, assembly expenses, and shipping costs must be taken into account.
What would be the secondary metric of a project if the primary goal was cost reduction?
The three consequential measures are decreased cycle time, scrap time, and set-up time.
Which control chart needs to have at least 20 subgroups of observed values in order to determine whether a process is under control?
Data collected at regular intervals are displayed on an R-chart. It calculates dispersion by tracking the sample range over time. At least 20 subgroups of observed values, each containing 3 to 6 observations, must be present in the R-chart. It is convenient to observe whether the variation falls between the upper and lower control boundaries with this bare minimum of observations.
A complex quantitative analysis that uses process modeling and mapping to improve business or industrial operations. This device is known as
Six sigma's capability and complexity analysis aids in defining, measuring, and controlling both the capabilities and complexity of goods and services. What-if analysis can be used to optimize process mapping and modeling using multiple variables thanks to the advanced capability-complexity analysis.
Which statement(s) about fractional factorial designs are false?
In Fractional Factorial Designs, Resolution V designs are not desired when controlling the costs of experimentation. Instead, Resolution V designs are used when the focus is on obtaining main effects and two-way interactions while reducing the number of experimental runs.
Which two classifications apply to Special Cause Variation?
Special Cause Variation, also known as Assignable Cause Variation, does indeed fall into the category of "Assignable" variation in Statistical Process Control (SPC). However, "Pattern" is not a category of variation in SPC.
Overproduction, motion, inventory, and correction are a few examples of
A waste is a loss that has no added value. Prior to project completion, waste should ideally be eliminated or reduced as much as possible.
After an LSS project is finished, the Belt produces a ____________ in addition to a Control Plan so that everyone participating in the process will know what to do if the crucial metrics diverge from expectations.
Following the completion of a Lean Six Sigma (LSS) project, the Belt (Six Sigma Belt, such as Green Belt or Black Belt) may create both a Control Plan and a Response Plan. These plans are essential components of the project's implementation and sustainability phases, ensuring that the improvements achieved during the project are effectively maintained and that the team knows how to respond to deviations from the desired performance.
The phrase "________________" in relation to a Design of Experiments refers to variables that are a linear combination of one another.
Collinearity can be a problematic issue in DOE because it can lead to difficulties in estimating the true effects of individual independent variables on the response variable. When collinearity is present, it becomes challenging to distinguish the separate contributions of each variable, and it can lead to unstable or unreliable estimates of the regression coefficients.