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I. Contents of riba quality management toolkit
==================
MANAGEMENT SYSTEM DOCUMENTATION
1. This procedure describes the following:
a. The documentation structure
b. The scope of each documentation level outlined in the structure.
2. ***Firms Name*** Management System is designed to satisfy the requirements of BS EN
ISO 9000:2000 and is set down in the following documentation:
a. Quality Manual
b. Quality Procedure Manual.
Supported by
c. Standard Forms
d. Work Instructions
QUALITY MANUAL
3. This is the top level document and as required by the Standard contains the following:
a. The scope of the quality system.
b. Any exclusions from the standard and reasons for exclusion.

2. c. A process model e.g. flowchart, outlining the significant operations covered by the QMS.
d. The Quality Policy of the Practice.
e. The organisation and responsibilities of the members of the Practice.
QUALITY PROCEDURE MANUAL
4. This is the working document that outlines the techniques, documents, parameters etc used to
implement the requirements of the quality management system. It is categorised into two
sections.
a. One related to the core business of the Practice and would basically follow the process
model in the Quality Manual
b. Another that relates to quality management requirements of the system e.g. management
reviews, training, internal audits etc.
5. These procedures take account of and are written to suit the skills and professional
background of the personnel using them.
STANDARD FORMS
6. These are used to control and record actions in particular the accountability of personnel for
the tasks assigned to them.
WORK INSTRUCTIONS
7. These supplement the quality procedures and take a variety of forms.
8. They are generally more detailed than the quality procedures and may contain standard
letters to be used, filing system instructions, reference to external industry sources etc.
REVIEW OF THE QUALITY MANAGEMENT SYSTEM
9. In order to ensure that the QMS is effective and efficient top management reviews its
effectiveness at planned intervals particularly in respect of:
a. Status of actions placed at the last review meeting
b. An appraisal of any consultants or specialist that may have been engaged. This appraisal
should be made against the terms of reference when the latter have been completed
c. The comments in (b) would also apply to any contractor that may have been engaged or
recommenced by the Practice.
d. A review of client complaints which should address how corrective action was applied
e.g. timely and effectively and if any action was taken, or could be taken to reduce or
eliminate problems.
e. A review of the quality system audits that have been carried out. This should cover an
appraisal of the audits against the planned schedule and the opportunity should be taken

3. for a critical look at how the Quality System operates to see where improvements can be
made to the service offered to clients. Results from project quality audits are useful in this
context.
f. The identification of any pending statutory requirements which members of the Practice
need to be aware of, and that may effect the business e.g. health and safety,
environmental etc.
g. Any information derived from any project, identified as being of benefit to the Practice.
10. Notes of these reviews will include actions and agreed dates for completion of actions. It is
the responsibility of the quality manager to follow up these actions to ensure they are
discharged properly.
11. The reviews are run by a member of the top management of the Practice, and will include the
quality manager and senior partners, associates etc and any other personnel who have a
relavent input to the meeting.
12. It is emphasized that the quality management system is for all personnel and that top
management will demonstrate its commitment to the on-going success of the quality system.
==================
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)

4.  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.

5. 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.

6. 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.

7. 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

8. 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 riba quality management toolkit (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