Project quality management system

Project quality management system
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I. Contents of project quality management system
==================
This is the first year where my daughter has started homework. It's nothing mind-bending
(kindergarteners are not doing quadratic equations or trigonometry just yet), but it's still a task
every night for her. Her teacher provides her with a list of homework tasks every Monday that
need to be completed by Friday - it's up to her (and us) to complete these tasks by the end of the
week. So we sit down every Monday night and being our routine of planning out what we want
to cover each night. We usually start with the harder stuff (Math - yuck), and try to cover more
in the early part of the week, so that, come Thursday night we have little to no work left to finish
(which she likes).
In a sense, I become the project manager for my daughter's homework program. I set the
deliverables for each task, and with our deadline being Thursday night, I schedule out the
homework to be completed in a timely manner. I also try not to overload her each day - she
needs her play time too - spacing out the work in a logical pattern. We've not missed an
assignment yet, and with the school year ending soon, it'll be only a matter of time till summer
vacation when she forgets everything she learned before the next school year.
In Quality Management Systems, Project Management is also a key function of operational
excellence in an organization. Like a homework sheet, projects have a defined list of
deliverables, a timeframe in which to complete them, and an ultimate result of the project.
However, unlike me and my daughter, there are many roles within an organization that may be
involved in a project, which is why having an automated project control system in place is a

great way to keep projects on track. Here are just some of the ways having an automated system
can benefit an organization:
1. Workflow-enabled projects: Most projects follow a timeline; in order to keep Quality
events on track and resolve any issues on time, there needs to be a deadline. Similarly, tasks
assigned in a project need to follow a path; you typically need to complete one deliverable
before the next can occur. Having a workflow-based system enables you to define your project
team, and assign tasks to those team members, then route the next task to the appropriate person.
Once that task is complete, the workflow moves the project along to the next person, and so
forth. Workflow is a great way to automate the deliverable process and keep the work going
forward.
2. Project Templates Speed the Process: Typically, projects are not unique - you will
encounter the same project type over the course of normal Quality operations. Rather than have
to re-create a project every time you have a quality event, you create a template that will
automatically load deliverables based on the type of event you've encountered. Best in class
project tools will take the Quality Management data and populate the deliverables with this data,
so that with the click of a button, you can load a project related to a specific event quickly and
easily.
3. Role-BasedTask Management: Assigning tasks to individuals is one way to manage a
project, but more often than not, it comes down to roles. By using roles (i.e. Quality Manager,
Inventory Control, Safety and Health versus Bob, Tom, Harry, etc.), you can broaden the ability
of the team to handle the deliverables as the project is loaded. There are then any number of
individuals within the role that can help complete each task within the project, versus relying on
a single person to get the job done.
4. Visibility into the Project Status: Automated tools provide the visibility you need as a
project manager to see the big picture. Without this visibility, you operate in a vacuum; set the
project in motion and hope that everyone is staying on track. You can create status meetings,
updates and the like, but having a dashboard that shows the project status, what is overdue, what
is on track, and any "red flags" in a single view is key to managing the project. This is where
charts and views are best suited; Gantt charts and project outlines with color indicators (Red,
Yellow, Green if you like) show the project in motion, and visualize where you've come from
and how far you need to go.
5. The After-Project Effect: Let's say you create a project that ultimately leads to a new
process, or a new job function that needs to be created. You don't want this to fall through the
cracks after everyone on the team worked so hard to get to the finish line. Automated systems
have the ability to affect change once the project is complete. Quality Management systems that
link Project Control toChange Management, Document Control or Employee Training are best
suited for this because they automatically link the project report to new document requests,
change management activites or training events, thus continuing the project feedback to new
innovations in the Quality System.
Project Planning is as much managing people as it is tasks. In fact, the people element is a
critical component; ensuring people are well informed of the deliverables, and see the big
picture is a large part of project management success. Automating the Project control process
helps project managers to focus less on the project management portion and more on the people
management portion. As with my daughter and her homework, by having a system in place, you

can focus on making sure that they are comfortable with their work and help them along the way
to being successful.
==================
III. Quality management tools
1. Check sheet
The check sheet is a form (document) used to collect data
in real time at the location where the data is generated.
The data it captures can be quantitative or qualitative.
When the information is quantitative, the check sheet is
sometimes called a tally sheet.
The defining characteristic of a check sheet is that data
are recorded by making marks ("checks") on it. A typical
check sheet is divided into regions, and marks made in
different regions have different significance. Data are
read by observing the location and number of marks on
the sheet.
Check sheets typically employ a heading that answers the
Five Ws:
 Who filled out the check sheet
 What was collected (what each check represents,
an identifying batch or lot number)
 Where the collection took place (facility, room,
apparatus)
 When the collection took place (hour, shift, day
of the week)
 Why the data were collected
2. Control chart

Control charts, also known as Shewhart charts
(after Walter A. Shewhart) or process-behavior
charts, in statistical process control are tools used
to determine if a manufacturing or business
process is in a state of statistical control.
If analysis of the control chart indicates that the
process is currently under control (i.e., is stable,
with variation only coming from sources common
to the process), then no corrections or changes to
process control parameters are needed or desired.
In addition, data from the process can be used to
predict the future performance of the process. If
the chart indicates that the monitored process is
not in control, analysis of the chart can help
determine the sources of variation, as this will
result in degraded process performance.[1] A
process that is stable but operating outside of
desired (specification) limits (e.g., scrap rates
may be in statistical control but above desired
limits) needs to be improved through a deliberate
effort to understand the causes of current
performance and fundamentally improve the
process.
The control chart is one of the seven basic tools of
quality control.[3] Typically control charts are
used for time-series data, though they can be used
for data that have logical comparability (i.e. you
want to compare samples that were taken all at
the same time, or the performance of different
individuals), however the type of chart used to do
this requires consideration.
3. Pareto chart

A Pareto chart, named after Vilfredo Pareto, is a type
of chart that contains both bars and a line graph, where
individual values are represented in descending order
by bars, and the cumulative total is represented by the
line.
The left vertical axis is the frequency of occurrence,
but it can alternatively represent cost or another
important unit of measure. The right vertical axis is
the cumulative percentage of the total number of
occurrences, total cost, or total of the particular unit of
measure. Because the reasons are in decreasing order,
the cumulative function is a concave function. To take
the example above, in order to lower the amount of
late arrivals by 78%, it is sufficient to solve the first
three issues.
The purpose of the Pareto chart is to highlight the
most important among a (typically large) set of
factors. In quality control, it often represents the most
common sources of defects, the highest occurring type
of defect, or the most frequent reasons for customer
complaints, and so on. Wilkinson (2006) devised an
algorithm for producing statistically based acceptance
limits (similar to confidence intervals) for each bar in
the Pareto chart.
4. Scatter plot Method
A scatter plot, scatterplot, or scattergraph is a type of
mathematical diagram using Cartesian coordinates to
display values for two variables for a set of data.
The data is displayed as a collection of points, each
having the value of one variable determining the position
on the horizontal axis and the value of the other variable
determining the position on the vertical axis.[2] This kind
of plot is also called a scatter chart, scattergram, scatter
diagram,[3] or scatter graph.
A scatter plot is used when a variable exists that is under
the control of the experimenter. If a parameter exists that

is systematically incremented and/or decremented by the
other, it is called the control parameter or independent
variable and is customarily plotted along the horizontal
axis. The measured or dependent variable is customarily
plotted along the vertical axis. If no dependent variable
exists, either type of variable can be plotted on either axis
and a scatter plot will illustrate only the degree of
correlation (not causation) between two variables.
A scatter plot can suggest various kinds of correlations
between variables with a certain confidence interval. For
example, weight and height, weight would be on x axis
and height would be on the y axis. Correlations may be
positive (rising), negative (falling), or null (uncorrelated).
If the pattern of dots slopes from lower left to upper right,
it suggests a positive correlation between the variables
being studied. If the pattern of dots slopes from upper left
to lower right, it suggests a negative correlation. A line of
best fit (alternatively called 'trendline') can be drawn in
order to study the correlation between the variables. An
equation for the correlation between the variables can be
determined by established best-fit procedures. For a linear
correlation, the best-fit procedure is known as linear
regression and is guaranteed to generate a correct solution
in a finite time. No universal best-fit procedure is
guaranteed to generate a correct solution for arbitrary
relationships. A scatter plot is also very useful when we
wish to see how two comparable data sets agree with each
other. In this case, an identity line, i.e., a y=x line, or an
1:1 line, is often drawn as a reference. The more the two
data sets agree, the more the scatters tend to concentrate in
the vicinity of the identity line; if the two data sets are
numerically identical, the scatters fall on the identity line
exactly.

5.Ishikawa diagram
Ishikawa diagrams (also called fishbone diagrams,
herringbone diagrams, cause-and-effect diagrams, or
Fishikawa) are causal diagrams created by Kaoru
Ishikawa (1968) that show the causes of a specific
event.[1][2] Common uses of the Ishikawa diagram are
product design and quality defect prevention, to identify
potential factors causing an overall effect. Each cause or
reason for imperfection is a source of variation. Causes
are usually grouped into major categories to identify these
sources of variation. The categories typically include
 People: Anyone involved with the process
 Methods: How the process is performed and the
specific requirements for doing it, such as policies,
procedures, rules, regulations and laws
 Machines: Any equipment, computers, tools, etc.
required to accomplish the job
 Materials: Raw materials, parts, pens, paper, etc.
used to produce the final product
 Measurements: Data generated from the process
that are used to evaluate its quality
 Environment: The conditions, such as location,
time, temperature, and culture in which the process
operates
6. Histogram method

A histogram is a graphical representation of the
distribution of data. It is an estimate of the probability
distribution of a continuous variable (quantitative
variable) and was first introduced by Karl Pearson.[1] To
construct a histogram, the first step is to "bin" the range of
values -- that is, divide the entire range of values into a
series of small intervals -- and then count how many
values fall into each interval. A rectangle is drawn with
height proportional to the count and width equal to the bin
size, so that rectangles abut each other. A histogram may
also be normalized displaying relative frequencies. It then
shows the proportion of cases that fall into each of several
categories, with the sum of the heights equaling 1. The
bins are usually specified as consecutive, non-overlapping
intervals of a variable. The bins (intervals) must be
adjacent, and usually equal size.[2] The rectangles of a
histogram are drawn so that they touch each other to
indicate that the original variable is continuous.[3]
III. Other topics related to Project quality management system (pdf download)
quality management systems
quality management courses
quality management tools
iso 9001 quality management system
quality management process
quality management system example
quality system management
quality management techniques
quality management standards
quality management policy
quality management strategy
quality management books

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