Quick Link for Quality Management
Quality Management 8.1 Plan quality
Quality Management 8.2 perform quality assurance
Quality planning involves identifying quality requirements
and statements and for the project and the product and documenting how to
demonstrate compliance. Anamulhuq.blogspot.com
emphasizes that quality should be planned in, not inspected in. although
inspection is definitely part of quality management, increased inspected is
generally not considered the best path to improve quality. Quality planning
should be performed in parallel with other planning efforts such as cost,
schedule, procurement and risk. Project planners must always remember that
change that changes is quality may especially affect cost, schedule and risk.
Plan Quality
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Inputs
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Tools
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Outputs
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1.
Scope baseline
2.
Stakeholder register
3.
Cost performance baseline
4.
Schedule baseline
5.
Risk register
6.
Enterprise environmental factors
7.
Organizational process assets
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1.
Cost-benefit analysis
2.
Cost of quality
3.
Control charts
4.
Benchmarking
5.
Design of experiments
6.
Statistical sampling
7.
Flowcharting
8.
Proprietary quality management methodologies
9.
Additional quality planning tools
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1.
Quality management plan
2.
Quality metrics
3.
Quality checklists
4.
Process improvement plan
5.
Project document updates
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Seven Key inputs for Plan Quality:
1. Scope Baseline: The scope baseline is
comprised of the following three documents:
·
Scope
statement: Contains project description, major deliverables, and acceptance
criteria. Acceptance criteria provide a method for assessing whether quality
requirements have been met and may also have an effect on overall project
costs.
·
WBS:
Identifies the deliverables, work packages, and control accounts used to
measure performance.
·
WBS
dictionary: Defines technical information for completing each activity
2. Stakeholder Register: As described earlier,
the register identifies stakeholders with an interest in the project. In this
case, the focus would be on those with an interest in or impact on quality.
3. Cost Performance Baseline: Identifies
the cost and timing requirements for the work (Section 7.2.3.1).
4. Schedule Baseline: Documents the
approved start and finish dates for each task (Section 6.5.3.2).
5. Risk Register: May contain information
on threats and opportunities that may affect quality (Section 11 .2.3.1).
6. Enterprise Environmental Factors:
Factors such as government or industry regulations, rules, standards, and
guidelines must be considered. For the exam, you should know the difference
between a standard and a regulation. A standard is an optional guide that
suggests preferred practices. A regulation is mandatory and requires compliance
(building codes on a construction project).
·
Governmental regulations (compliance is
mandatory)
·
Organizational or industry rules, standards, and
guidelines (which are usually optional guides or best practices)
·
working/operating conditions for the
project/product
7. Organizational Process Assets:
Organizational Process Assets that might influence the Plan equality process
include:
·
Organizational quality policies, procedures, and
guidelines
·
Historical databases
·
Lessons learned from previous projects
·
Quality policy, which is defined as the overall
intentions and direction of an organization with regard to quality, as formally
expressed by top management. Regardless of where the policy originated (“as is”,
from the performing organization or custom development), the project team is
responsible for informing project stakeholders of appropriate quality policies.
Nine Key Tools for plan equality:
1. Cost-Benefit Analysis: For quality
planning purposes, benefit/cost trade-offs refer to the cost of engaging in
quality management activities against the resulting benefits to the project,
The potential benefits of meeting quality requirements include:
·
Less rework
·
Higher productivity
·
Lower costs
·
Increased stakeholder satisfaction
2. Cost of Quality (COQ): The total cost
of efforts to achieve quality, which includes the costs of conformance
(preventing defects and assessing quality) and non-conformance (fixing
defects). Three specific categories of costs are prevention, appraisal, and failure.
Preventing defects is believed to reduce overall costs and is preferred over
costs of non-conformance.
Prevention
(Build a Quality Product)
"Conformance"
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Appraisal
(Assess Quality)
"Conformance"
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Failure
"Nonconformance”
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·
Planning
·
Training
·
Equipment(calibration and maintenance)
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Audits
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·
Audits
·
Test and evaluation
·
Process control
·
Inspection
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Internal (found by project)
·
Scrap
·
Rework
External (found by customer)
·
Liabilities(recalls)
·
Warranty work
·
Lost business
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3. Control Charts: Control charts are used
to determine whether a process is stable (under control) and is therefore
producing predictable results. The charts track three major types of data:
a.
Specification limits are requirements in the
contract,
b.
Control limits define points at which corrective
action is considered and
c. There
is a planned goal (the perfect outcome). See
course slides #130 through #133 for examples of control charts.
Key
points about control charts (read the following details as part of your
self-study):
·
A process need not be adjusted if it is under
control. However, it can be changed to provide basic improvements at any time.
·
Upper and lower control limits (UCL/LCL) must
not be confused with specification limits (USL/LSL). Control limits describe
the natural variation of a process; observations (process results) that fall within
the limits usually indicate normal, expected variations. Points outside the
limits mean that something has occurred that needs investigation and perhaps
correction. Points outside the limits are referred to as special events or
assignable causes. Typical causes of such results are:
o
Equipment problems (tolerances not adjusted
properly, worn out, and so on)
o
Materials problems (wrong quality/grade,
defective, and so on)
o
Employee problems(understaffed, poor training
and soon)
This site guide
states that control limits are usually set at plus or minus three sigma from
the mean.
·
Specification
limits are the tolerances agreed to in the contract. Whereas specification
limits represent the contractual obligation, control limits represent the
natural capability of your current process.
·
Rule of
seven: when interpreting control charts, this rule of thumb (heuristic)
states that if Seven or more observations in a row fall on the same side of the
mean (or if they trend constantly in the same direction- increasing or
decreasing), they should be investigated as if they have an assignable cause.
This is true even if the observations are within the control limits. The reason
for this rule is that it is extremely unlikely that seven observations in a row
would fit the pattern described if the process is operating normally (by
"extremely unlikely" we mean less than a 1 percent chance,
capitulated as .50 raised to the 7tn power, or .0078).
·
Effect of standard deviation: Recall the concept
of six sigma that was mentioned in the time management section.
Six sigma rule: You should
know that numerous "modem" companies have adopted six sigma as the
standard for measuring quality in the United States. The more traditional
approach was three sigma. The difference is that six sigma captures about
99.9997% of outcomes whereas three sigma only captures about 99.7%. That means
that defects would occur only about 3.4 times in a million under six sigma but
they would occur three times in a thousand under three sigma- in other would,
six sigma is a much more stringent requirement.
Effect of sample size on control limits:
standard deviation is one of the factors that affects whether the upper and
lower control limits are wide or narrow in comparison to the mean in a control
chart. For the exam, be aware that larger sample sizes will tend to result in
smaller standard deviations, which in turn mean more narrow control limits. The
converse is also true, i.e., smaller sample sizes tend toward larger standard
deviations and wider control limits.
4. Benchmarking: comparing planned or
actual project practices to those of other projects to
a.
generate ideas for improvement and
b.
Provide a standard to measure Performance
against.
5. Design of Experiments (DOE): A
statistical technique that helps determine how different variables influence
project outcomes. Experiments are essentially "observations conducted
under controlled circumstances". For instance, experiments during
development of an automobile may control various combinations of tires and
suspension and reveal which produces the best ride for the target customers.
This site suggests that DOE
is especially useful for determining how much testing is needed and for
optimizing the performance of processes and/or products.
6. Statistical sampling: choosing part of
a population for inspection. For example, one might examine 150 of the 1,000
welds on a bridge construction project to determine whether the welds conform
to requirements, Sampling is done to reduce the cost of quality. A sampling
plan is often developed during quality planning so that the total cost of
quality is known.
7. Flowcharting: Diagrams used to help
analyze how problems occur; most flowcharts show activities, decision points,
and the sequence in which process steps occur. These diagrams help improve
processes and help anticipate where problems might occur.
8. Proprietary
Quality Management Methodologies: includes approaches such as six sigma,
quality Function Deployment, CMMl (capability Maturity Model integrated).
9. Additional Quality Planning Tools:
There are other techniques that can assist in defining quality requirements,
including:
·
Brainstorming
·
Affinity diagrams
·
Force field analysis
·
Nominal group technique
·
Matrix diagrams
·
Prioritization matrices
Five Key Outputs for Plan Quality:
1. Quality Management Plan: Describes how
the project team will implement its quality policy. The quality plan is an
input to the overall project management plan and should describe the approaches
for quality assurance, continuous process improvement, and quality control. The
plan should focus on efforts early in the project that will reduce future cost
and schedule problems caused by rework.
2. Quality Metrics: Also known as
operational definitions, metrics describe how something will be measured.
Quality metrics might include failure rates and reliability. A related project
performance metric might measure whether an activity is on time (A decision
would have to be made as to whether on time means starting on time, finishing
on time, or both).
3. Quality Checklists: A structured tool
to verify that all steps in a process have been performed. Checklists are often
used in the quality management process, especially in a complex or for tasks
performed frequently.
4. Process improvement Plan: A plan that
details the steps for improving existing processes. May include activities such
as:
·
Process boundaries: Describes the start,
purpose, and end of each process. The following processes are normally part of
quality management: audits, metrics, benchmarking, experiments, quality planning,
and status reports.
·
Process configuration: A flowchart that shows
all steps and interfaces in a Process.
·
Targets for improved Performance:
Self-explanatory.
·
Process metrics: Measuring performance and
improvements.
5. Project Document Updates: Documents that
may be updated as a result of quality planning include:
·
Stakeholder register
·
Responsibility assignment matrix (Section
9.1.2.1)
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