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Control Quality

Process: Control Quality

Process Group: Monitoring & Controlling

Knowledge Area: Quality Management

Control quality process of ensuring a certain level of quality in a deliverable, whether it be a product, service, or result. Control means measure, and that is the major function of the Control Quality process. It measures products, services, or results to determine whether they meet the quality standards. This process helps ensure customer acceptance, as it involves confirming and documenting the achievement of agreed-to requirements.

Although a project manager must be involved and concerned about quality control, a quality control department may complete much of this work in large companies. The department then informs the project manager about quality issues through change requests, which are accompanied by any necessary documentation and reports to detail the quality issues. The project manager must be able to read and understand quality measurement reports.

It is during Control Quality that the height of doors in a manufacturing process or the number of bugs per module will be measured. Quality control helps answer the following questions: “Are the results of our work meeting the standards?” “What is the actual variance from the standards?” “Is the variance from standards or processes outside of acceptable limits?” “Are people following the checklists created to support meeting the metrics established for the process?” and “What changes in the project should be considered?” Control Quality results in change requests, including recommended corrective and preventive actions and defect repair. The project manager then acts on these change requests to help improve quality.

To better understand questions relating to quality control, you should be familiar with the following terms. You will likely see these as choices or even as part of questions on the exam.

Mutual Exclusivity

The exam may reference statistical terms. One such term that often confuses people is “mutual exclusivity.” Two events are said to be mutually exclusive if they cannot both occur in a single trial. For example, flipping a coin once cannot result in both a head and a tail.

Probability

This term refers to the likelihood that something will occur. Probability is usually expressed as a decimal or a fraction, on a scale of zero to one.

Normal Distribution

A normal distribution is the most common probability density distribution chart. It is in the shape of a bell curve and is used to measure variations (see the example in the exercise in the control chart section of this chapter).

Statistical Independence

Another confusing statistical term often showing up on the exam is “statistical independence.” This means the probability of one event occurring does not affect the probability of another event occurring. For example, the probability of rolling a six on a die is statistically independent from the probability of getting a five on the next roll.

Standard Deviation (or Sigma)

As we’ve already discussed, a measure of a range is its standard deviation. It denotes what would be considered a statistically stable process or output. This concept is also sometimes stated as a measure of how far you are from the mean (not the median). (Remember (P - 0)/6 is the beta distribution formula for standard deviation, using optimistic, pessimistic, and most likely estimates, as described in the Time Management chapter.)

Control Quality Tools and Techniques

Process: Control Quality

Process Group: Monitoring & Controlling

Knowledge Area: Quality Management

Control quality process of ensuring a certain level of quality in a deliverable, whether it be a product, service, or result. Control means measure, and that is the major function of the Control Quality process. It measures products, services, or results to determine whether they meet the quality standards. This process helps ensure customer acceptance, as it involves confirming and documenting the achievement of agreed-to requirements.

Although a project manager must be involved and concerned about quality control, a quality control department may complete much of this work in large companies. The department then informs the project manager about quality issues through change requests, which are accompanied by any necessary documentation and reports to detail the quality issues. The project manager must be able to read and understand quality measurement reports.

It is during Control Quality that the height of doors in a manufacturing process or the number of bugs per module will be measured. Quality control helps answer the following questions: “Are the results of our work meeting the standards?” “What is the actual variance from the standards?” “Is the variance from standards or processes outside of acceptable limits?” “Are people following the checklists created to support meeting the metrics established for the process?” and “What changes in the project should be considered?” Control Quality results in change requests, including recommended corrective and preventive actions and defect repair. The project manager then acts on these change requests to help improve quality.

To better understand questions relating to quality control, you should be familiar with the following terms. You will likely see these as choices or even as part of questions on the exam.

Mutual Exclusivity

The exam may reference statistical terms. One such term that often confuses people is “mutual exclusivity.” Two events are said to be mutually exclusive if they cannot both occur in a single trial. For example, flipping a coin once cannot result in both a head and a tail.

Probability

This term refers to the likelihood that something will occur. Probability is usually expressed as a decimal or a fraction, on a scale of zero to one.

Normal Distribution

A normal distribution is the most common probability density distribution chart. It is in the shape of a bell curve and is used to measure variations (see the example in the exercise in the control chart section of this chapter).

Statistical Independence

Another confusing statistical term often showing up on the exam is “statistical independence.” This means the probability of one event occurring does not affect the probability of another event occurring. For example, the probability of rolling a six on a die is statistically independent from the probability of getting a five on the next roll.

Standard Deviation (or Sigma)

As we’ve already discussed, a measure of a range is its standard deviation. It denotes what would be considered a statistically stable process or output. This concept is also sometimes stated as a measure of how far you are from the mean (not the median). (Remember (P - 0)/6 is the beta distribution formula for standard deviation, using optimistic, pessimistic, and most likely estimates, as described in the Time Management chapter.)

Control Quality Tools and Techniques

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