This document provides an overview of Boeing's quality management system requirements for suppliers. It describes the appendices and addenda that outline the certification requirements suppliers must meet depending on the type of work performed. Appendix A requires AS9100 certification for design, development and production. Appendix C requires AS9110 certification for maintenance, repair or overhaul work. It also lists some common quality management tools like check sheets, control charts, Pareto charts, scatter plots, Ishikawa diagrams and histograms. Additional related topics are provided for download.

1. Boeing quality management system
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I. Contents of boeing quality management system
==================
Overview
Our commitment to steady, long-term improvement in our products and processes is the
cornerstone of our business strategy. Maintaining customer satisfaction and enhancing
shareholder value is a mutual goal of both Boeing and its suppliers. To achieve this objective, we
must continuously work together to improve the overall efficiency and productivity of our
design, manufacturing, administrative, and support organizations.
Requirements
The Boeing Quality Management System Requirements for Suppliers document (D6-82479 -
pdf file) contains the supplier management quality system requirements of The Boeing
Company. Requirements are described in three appendixes and two addenda, the applicability of
which shall be defined by contract. This document is an expression of the expectation by The
Boeing Company of all of our suppliers today and in the future.
 Appendix A - AS9100C, Quality Management Systems - Requirements for
Aviation, Space and Defense Organizations
 This appendix describes the quality management system requirements for Boeing
suppliers as contained in ISO 9001 as supplemented by 9100 which includes all IAQG
sanctioned standards including but not limited to AS9100C, EN9100 and JISQ 9100.
Appendix A represents the International aerospace quality standard for quality
assurance in design, development, production, installation, and servicing.

2. Boeing Appendix A suppliers will be AS/EN/JISQ 9100*, "Quality Management
Systems - Requirements for Aviation, Space and Defense Organizations" certified by
an accredited Certification Body listed in the International Aerospace Quality Group's
(IAQG) OASIS database.
For Suppliers under contract for Maintenance, Repair or Overhaul (MRO), the Seller's
AS/EN?JISQ9100* certification shall have an associated CB assessment
report/package that contains evidence that Service process was assessed or will be
AS/EN 9110**, "Quality Management Systems - Requirements for Aviation
Maintenance Organizations" certified by an accredited Certification Body listed in the
International Aerospace Quality Group (IAQG) OASIS database.
*Note: 9100 includes all IAQG sanctioned standards including but not limited to AS9100C,
EN9100 and JISQ 9100.
**Note: 9110 includes all IAQG sanctioned standards Including but not limited to AS/EN
9110.
 Appendix B - Phased Out
 The Boeing Company currently does not recognize AS9003 for production approvals,
it has been phased out over time and therefore this Appendix is considered "Obsolete".
AS/EN/JISQ9100* is the preferred quality management system standard. *Note: 9100
includes all IAQG sanctioned standards including but not limited to AS9100C,
EN9100 and JISQ 9100.
 Appendix C - AS9110, Quality Management Systems - Requirements for Aviation
Maintenance Organizations
 This appendix describes the quality management system requirements for Boeing
suppliers as contained in ISO 9001 as supplemented by 9110*. Appendix C represents
the international aerospace quality standard for aerospace maintenance organizations.
Suppliers that have active contracts for the maintenance, repair or overhaul of
nonoriginal equipment manufacturer equipment with Boeing and receive purchase
contracts changes or new purchase contracts that include D6-82479 Appendix C as a
requirement shall be an AS/EN 9110*, "Quality Management Systems - Requirements
for Aviation Maintenance Organizations" certified by an accredited Certification Body
listed in the International Aerospace Quality Group's (IAQG) OASIS database:

3. *Note: 9110 includes all IAQG sanctioned standards including but not limited to AS9110 and
EN9110
 Appendix D - AS9120, Quality Management Systems ? Requirements for Aviation,
Space and Defense Distributors
 This appendix describes the quality management system requirements for Boeing
suppliers as contained in ISO 9001 as supplemented by 9120*.
Boeing Appendix D suppliers will be AS/EN/JISQ 9120*, "Quality Management
Systems - Requirements for Aviation, Space and Defense Distributors" certified by an
accredited Certification Body listed in the International Aerospace Quality Group's
(IAQG) OASIS database.
*Note: 9120 includes all IAQG sanctioned standards including but not limited to AS9120,
EN9120 and JISQ 9120.
 Addendum 1 - Variation Management of Key Characteristics (9103**)
 Addendum 1 describes a process for managing the variation of key characteristics
(KCs). It includes requirements that emphasize establishing both statistical control and
capability of KCs, identification of improvement opportunities and implementation of
improvement actions.
**NOTE: 9103 includes all IAQG sanctioned standards including but not limited to AS9103,
EN9103 and JISQ 9103.
 Addendum 2 - Quality System Requirements for Deliverable Software
 Addendum 2 includes aerospace requirements for deliverable software which have been
separated into two sections. Suppliers shall select and declare in their quality manual,
which section they will deploy to meet the Addendum 2 requirement.
Section 1 is based upon Section 1 is based upon AS/EN/JISQ 9100* and AS9006 (pre-
transition) and will be based upon AS/EN/JISQ 9100* and AS9115 when the 9100*
transition has been completed. Suppliers Section 1 transition activity must also include
transition to the requirements defined in AS9115.

4. Section 2 is based upon the AS/EN/JISQ 9100* and Software Engineering Institute
(SEI) Capability Maturity Model Integrated (CMMI). The Boeing Company has
adopted the AS/EN/JISQ 9100* transition timeline as sanctioned by the International
Aerospace Quality Group (IAQG). Transition will be in accordance with the schedule
referenced on the OASIS database.
*Note: 9100 includes all IAQG sanctioned standards including but not limited to AS9100C,
EN9100 and JISQ 9100.
==================
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

5. 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

6. 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

7. 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.

8. 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

9. 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]
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