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8: Project Quality Management
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Warning limits are two standard deviations either side of the average, so 954% of points are within these limits Upper Warning Limit (UWL)
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Benchmarking is a process that uses standard measurements for comparing various things such as the cycle time, quality of a process or procedure, or method against an industry standard or best practice Benchmarking provides a snapshot of how your business or organization s performance compares to these standards
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m 2s
m 1s
m 6826% 9546% 9973%
m + 1s
m + 2s
m + 3s
Figure 8-2
Sample standard deviation chart
PMP Certification: A Beginner s Guide
Certain groups conduct research and provide industry standards that can be used for benchmarking These include The Gartner Group, Benchmarking Partners, and the Benchmarking Network, Inc, just to name a few
Design of Experiments (DOE)
Design of experiments (DOE) is a statistical method or framework for identifying which factors may influence variables of a product or process This is generally used during the quality-planning process to determine the number and type of tests that may need to be run to ensure quality and the potential cost or outcome associated with the tests An example of DOE could be the study of rain, sun, and fertilizer on agricultural products for best growing conditions, or when a drug company conducts a series of tests on volunteers representing a sample group meeting certain criteria (for example, age group, and level of fitness) using different doses, different frequencies, or even placebos to collect results and to determine which design of experiments yields the most favorable results for treating an illness
Statistical Sampling
Statistical sampling is a way to obtain data without spending the time and money to observe, or survey an entire population Wikipedia offers the following definition: Typically, the population is very large, making a census of all the values in the population impractical or impossible The sample represents a subset of manageable size Samples are collected and statistics are calculated from the samples so that one can make inferences or extrapolations from the sample to the population The best way to avoid a biased or unrepresentative sample is to select a random sample [ ] A random sample is defined as a sample where the probability that any individual member from the population being selected as part of the sample is exactly the same as any other individual member of the population [14] Survey weighting factors are often applied to the data to adjust for the sample design or to normalize the data in some way The sampling process is comprised of several steps:
Defining the population of interest Selecting a sampling set of items or events possible to measure Determining a sampling method (for example, interviews, observations, surveys, and so on)
8: Project Quality Management
Determining the sample size Implementing the sampling plan Sampling and data collecting Reviewing the sampling process
Flowcharting
A flowchart is a graphical representation of a process usually showing relationship between steps, thus the term flow Different design techniques and software tools are available to make this process easier The flowchart can be used to show activities on the project, decision points (shown as a diamond-shaped image), and the order (or sequence) to follow The use of arrows helps direct the viewer down the path based on decisions or answers to certain questions Figure 8-3 shows a sample flowchart
Start
Design
Coding
Testing
Errors No End
Design Errors Yes
Figure 8-3
Sample flowchart
PMP Certification: A Beginner s Guide
Outputs of the Plan Quality Process
Here are the five primary outputs from the Plan Quality process:
Quality management plan (QMP) Describes how the project team will implement the approved quality policies The QMP is a key component of and provides inputs to the overall project management plan The QMP can be formal or informal, and it can be very detailed or a high-level summary, depending on the needs of the project Quality metrics Describes operational details in very specific terms as to the product of the project as well as its features, functions (sometimes called product attributes ), allowable tolerances, and so on The quality metrics are used as inputs to the Perform Quality Assurance and Perform Quality Control processes Examples of quality metrics are failure rates (mean time between failure) of parts, budget or schedule control, on-time performance, defect frequency, and response time to fix problems Quality checklists Usually very specific and used to verify that a set of requirements is being met The checklist can be complex or simple, again depending on the size, type, and complexity of the project Process improvement plan A subset of the overall project management plan that details the steps for analyzing the process or activities to streamline or reduce redundancy or wasted steps The improvement plan answers the question What are we going to do to make the process better (faster, more efficient, or more productive) Project document updates As always, you want to use progressive elaboration to ensure the project plan and output documents are updated along the way when new information is learned or as changes occur Examples of documents that might need to be updated are the responsibility assignment matrix (RAM) and the risk registry
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