1. The document discusses various management tools and techniques for continuous process improvement, including proactive and reactive tools.
2. Proactive tools include forced field analysis, nominal group technique, affinity diagrams, and others that rely on subjective information to identify root causes and areas for improvement.
3. Reactive tools involve statistical process control techniques like Pareto diagrams, cause-and-effect diagrams, control charts, and others that use hard data to react to problems and monitor process performance.
3. There are some improvements that they wont use hard
data but rely on subjective information. Application
of these tools has proven useful in process
improvement, cost reduction, policy making &
deployment and New-Product Development.
Proactive Improvements
By. Prof. Raghavendran V
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4. The tools are very simple, it is effective and it can be
key to finding the root cause of a problem in specific
terms and then ask why.
You may have to ask why 2 or more times to obtain
root cause of the problem.
Proactive Improvements
By. Prof. Raghavendran V
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5. There are 9 different techniques involved and also called as
“Management tools Technique”. There are listed as follows:
1. Forced Field Analysis
2. Nominal Group Technique
3. Affinity Diagram
4. Interrelationship Digraph
5. Tree Diagram
6. Matrix Diagram
7. Prioritization Matrices
8. Process Decision Program Chart(PDPC)
9. Activity Network Diagram
Management Tools & Techniques
By. Prof. Raghavendran V
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6. This analysis is used to identify the force & factors
that may influence the problem or goal.
It helps an organization to better understand
promoting & inhibiting forces so that the positives
can be reinforced & the negatives can be reduced.
The procedure is define the Objective, determine the
criteria for evaluating effectiveness of action
Forced Field Technique
By. Prof. Raghavendran V
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7. For Illustration:
Objective: Stop Smoking
Promoting Forces to stop smoking
Inhibiting forces to cant stop
Smoking
Poor Health
Habit
Smelly Clothing
Addiction
Cost
Taste
Impact on others
Advertisement
Setting an Example
Stress
The Benefit are the determination of the positives and
negatives, encouraging people to prioritize the competing
forces and identify root causes.
Forced Field Technique
By. Prof. Raghavendran V
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8. This provides for issue/idea input from everyone on
the team and for effective decisions.
For Example: Indian cricket team decides which
problem to work on. All players write down on the
papers the problems they think is most important.
Ranking is consider to evaluate the problem. The
highest number is consider as most important
problem.
Nominal Group Technique
By. Prof. Raghavendran V
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9. This diagram allows the team to creatively generate
large number of issues/ideas and logically group
them for problem understanding and possible
breakthrough solutions.
The procedure is to state the issues in a full
sentences, brain storm.
(large group must be divided into small groups with
appropriate headings)
Affinity Diagram
By. Prof. Raghavendran V
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10. For Illustration for scrambled idea:
Fatigue Pitch
What are issues involved in losing the
world cup for England
Ambience of the crowd
Big Grounds
Not enough
experience
players
No form
players
Fear of Terrorism
Spin Tracks
No seriousness in
playing
Affinity Diagram
By. Prof. Raghavendran V
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11. For Illustration for Ordered idea:
What are issues involved in losing the
world cup for England
About Technical
aspects
Fatigue Pitch
Not enough experience
players
Big Grounds
No seriousness in playing
Spin Tracks
No form players
Ambience of the crowd
Fear of Terrorism
About Public Factors
About Players
Affinity Diagram
By. Prof. Raghavendran V
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12. The Interrelationship Diagraph clarifies the inter
relationship of many factors of a complex situation.
It allows to team to classify the cause & effect
relationships among the all the factors.
The procedure is complicated & as follows
1. The team should agree on the issue or problem
statement.
2. All the ideas or issues must be laid out
Interrelationship Diagraph(ID)
By. Prof. Raghavendran V
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13. 3.
4.
5.
6.
Start with first issue & evaluate with the other issue
using cause-effect relationship.
The second iteration is to compare second issue with
other issue and followed by.
The entire diagram should be reviewed where
necessary. It is good idea to obtain information from
others people Upstream or Downstream.
The diagram is completed by tallying the incoming &
outgoing arrows and placing this information below the
box.
Interrelationship Diagraph(ID)
By. Prof. Raghavendran V
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14. Benefits of Interrelationship Diagraph(ID)
It allows a team to identify root causes from
subjective data systematically.
Cause and effect relationships
Encourage members to think in multidirectional
Develops team harmony and effectiveness.
Interrelationship Diagraph(ID)
By. Prof. Raghavendran V
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15. This tool is used to reduced any broad objective into
increasing levels in detail in order to achieve
objective.
Procedure to choose action oriented objective
statement.
Secondly, brainstorming, choose the major headings
Thirdly, generate the next level analyzing the major
heading.
Tree Diagram
By. Prof. Raghavendran V
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16. Here diagram allows individuals or teams to identify,
analyze and rate the relationship among two or more
variable.
Data are presented in table form and can be objective
or subjective, which can be given symbols with or
without numerical values.
There are different formats 2 or variables
L-shaped (2V), T or C or Y-shaped(3V) and X Shaped
(4V).
Matrix Diagram
By. Prof. Raghavendran V
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19. These tools prioritize issues, tasks, characteristics,
and based on weighted criteria using combination of
tree and matrix diagram techniques.
Prioritization matrices are designed to reduce the
teams options rationally before detailed
implementation planning occurs.
Prioritization Matrices
By. Prof. Raghavendran V
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20.
Construct an L-shaped matrix combing the options
Determine implementation criteria Nominal Group
technique.
Prioritize the criteria using NGT, each member
weights the criteria so that total weights equal to 1.00
Rank order the options in terms of importance by
each criterion
Compute the option importance score
Construction of Prioritization Matrices
By. Prof. Raghavendran V
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21.
Programs to achieve particular objectives do not
always go according to plan, and unexpected
developments may have serious consequences. The
PDPC avoids surprises and identifies possible
countermeasures.
Process Decision Program Chart
By. Prof. Raghavendran V
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22. Plan successful conferences
Registration
Speakers Late
Audio/Visual
Fails
Have
Backup
Have Substitute
Facilities
Presentations
Too Long
Use AV
Person
Use Time
Keeper
By. Prof. Raghavendran V
PDPC
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23. This tool goes by a number of different names and
deviations, such as program evaluation and review
technique, Critical Path Method, arrow diagram and
activity on node.
It allows team to schedule a project efficiently.
Activity Network Diagram
By. Prof. Raghavendran V
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24. 1)
2)
3)
4)
5)
6)
The team brainstorm/document all the tasks to
complete project.
The first task is always started from extreme left.
Any tasks that can be done simultaneously.
Repeat step 2 & 3 until all tasks are placed
Number each task & draw connecting arrows.
Determine the completion time and post it in the lower
left box. Completion times recorded in
hours/days/weeks
Determine the critical path by completing the four
remaining boxes in each task. These boxes are Earliest
start time(ES), Earliest Finish(EF), Latest Start(LS) and
latest Finish (LF).
By. Prof. Raghavendran V
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26. Reactive Improvements is also known as Statistical
Process Control. This is one of the best technical
tools for improving product and service quality.
There are seven basic technique and they are:
1. Pareto diagram
2. Process flow diagram
Some what Statistical
3. Cause and effect diagram
4. Check sheets
5. Graphs- Histogram, Line graphs, Pie charts
6. Scatter diagram
7. Control Charts
By. Prof. Raghavendran V
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27. Alfred Pareto conducted extensive studies of the
distribution of wealth in Europe.
Pareto diagram is a graph of that ranks data
classification in descending order of their numerical
value of their frequency of occurrence from left to
right in accordance with the variables.
Variables are problems, complaints, causes, type of non
conformities.
Pareto Diagram
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29.
Determine the method of classifying the data
(Problem, cause, non conformity and so forth)
Decide if rupees, frequency or both are to be used to
rank the characteristics.
Collect data for an appropriate time interval or use
historical data.
Summarize the data and rank order categories from
largest to smallest.
Construct the diagram and find the vital few.
Construction of Pareto diagram
By. Prof. Raghavendran V
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30. Solve the problem:
In an recent 1st internal assessment conducted for 7th
mechanical students, the following result declared for
48 students
0-14 marks: 31 Students
15-20 marks: 13 Students
21-25 marks: 04 Students.
Categorize them using Pareto Diagram.
By. Prof. Raghavendran V
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32. It shows different activities of a process
operation, for a product or services as it moves
through the various processing operations.
The diagram makes it easy to visualize the entire
system, identify potential trouble spots and locate
control activities.
Process Flow Diagram
By. Prof. Raghavendran V
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33.
For Illustration: let us consider vehicle parking
operation in a bus terminus.
Customer gets the tkt for Parking
Receive tkt from the customer
Customers parks the car
Stamp the exit time on ticket
Customers comes back to parking lot
to leave
Read difference time and
collect the time
Customers drives the car to exit
Put the tkt in Storage Bin
Cashier System
Customer Drives the car
Process Flow Diagram
End of the day complete report
Owner of the parking By. Prof. Raghavendran V
lot gets the
accounting report
33
34. A C&E diagram is a picture composed of lines and
symbols designed to represent meaningful
relationship between effect and causes.
It was developed by Dr. Kaoru Ishikawa 1943 and it
is referred as fishbone diagram because of it shape.
Cause and Effect Diagram
By. Prof. Raghavendran V
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36. The main purpose of check sheets is to ensure that
the data is collected carefully and accurately by
operating personnel.
Data should be collected in such a way that it can
quickly and easily used and analyzed.
For Illustration: Check sheet for paint
nonconformities
Check Sheets
By. Prof. Raghavendran V
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37. Check Sheet
Product: Bicycle 32
Nonconformity Type
Check
Number inspected: 2222
Total
Blister
21
Light Spray
38
Drips
22
Overspray
11
Runs
47
Others
5
Total
144
Number
113
Non Conforming
Check Sheets
By. Prof. Raghavendran V
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38. Arguably the first „Statistical‟ technique.
It describe the variation in the process.
The histogram graphically estimates the process
capability.
For any histogram there will graphical and analytical
techniques for summarization.
Graphical technique is a plot or picture of a frequency
distribution, which is a summarization of how the
data points occur within each subdivision of
observed values.
Histogram
By. Prof. Raghavendran V
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39. Analytical technique, summarize data by computing
measure of the central tendency (Average, Median,
Mode)and measure of the dispersion ( Range and
standard Deviation).
Illustration for Ungrouped data:
Number of daily accounting errors.
0
3
0
1
0
1
0
1
5
4
1
2
1
2
0
1
0
2
0
0
2
0
1
2
1
1
1
2
1
1
0
Histogram
1
4
1
3
1
1
1
1
3
4
0
0
0
0
1
3
0
1
2
2
3
By. Prof. Raghavendran V
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40.
Tally of number of daily accounting errors
Number
Nonconforming
Tabulation
Frequency
0
15
1
20
2
8
3
5
4
3
5
1
By. Prof. Raghavendran V
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41.
Illustration for Grouped data:
Cell
Interval
40
F
re
q
u
e
n
c
y
34
35
Boundary
30
25
24
22
Series 1
Series 2
Series 3
20
15
10
5
Mid Point
0
Temperature
Histogram
By. Prof. Raghavendran V
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42. There are 6 different types of histogram
And they are
1. Symmetrical
2. Skewed right
3. Skewed left
4. Peaked
5. Flat
6. Bimodal
Histogram
By. Prof. Raghavendran V
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43. This is simplest way to determine, if a C&E
relationship exists between two variables.
For Illustrations: in a relationship between automotive
speed and mileage.
As speed increases, mileage decreases.
Automotive Speed is plotted on the axis and is the
independent variable.
Gas mileage is plotted on y axis and this is dependent
variable.
Scatter Diagram
By. Prof. Raghavendran V
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45. Other examples for relationship are:
Cutting speed and tool life
Temperature and Lipstick hardness
Training and errors
Breakdowns and equipment age
Scatter Diagram
By. Prof. Raghavendran V
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46. A control chart is a graphical representation of
collected information and common tool used in
industries in controlling the quality of products or
quality characteristics.
It is an aid for analyzing the quality in repetitive
process.
It is developed by Dr. W.A Shewhart
Control Charts
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47. Control charts is classified into types and
1. Variable (Continuous Data)
2. Discrete Data (Discontinuous Data)
they are:
Variable: Data which can take any value depending on
the accuracy of the measuring instrument is called
continuous data.
For Ex: Weight of Object can be 1.2 or 1.23 or 1.234
Kg Depends on the accuracy of the instrument.
Control Charts
By. Prof. Raghavendran V
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48. Discrete: Data which can take only definite is called
discrete data. The values are whole number.
It will be only whole number. For ex: Number of
wickets took by bowler.
By. Prof. Raghavendran V
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49. It is common phenomenon, in nature and also in the
product produced in industry. There will be lot of
variations on so many factors in a twin children.
It is impossible to produce identical parts.
Henceforth, tolerance limits came in picture.
Variations are due to 2 causes:
1.
Variation due to chance causes
2.
Variation due to assignable causes.
Variables
By. Prof. Raghavendran V
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50. Variation due to chance causes
The variations due to sheer chance. This is not
permanent factor for variation.
For Ex: Voltage Variation, Vibrations on Machine tool.(
It is difficult to avoid the variation)
2. Variation due to assignable causes
Variations caused by assigned job. These are easily
traceable.
For Ex: Difference among the M/c‟s, Men, materials
1.
Variables
By. Prof. Raghavendran V
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51.
Based on data, we have:
Control Charts for Continuous Data
or Variable
2. Control Charts for Discrete Data or
Attributes
1.
Variable
By. Prof. Raghavendran V
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52. The data collected for control charts for variable will
be measured in two types and they are:
Mean and Range charts also called
R Charts
Mean and Standard Deviation also called
Charts.
Mean is most common method of measure of central tendency.
R and are most common method to measure of dispersion.
Control Charts for Continuous Data or
Variable
By. Prof. Raghavendran V
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53. Procedure for drawing Charts:
1. Collect good number of samples of constant
sample size „n‟ at random at different intervals of
time.
2. Measure all the quality characteristics of all which
is to be controlled of all the pieces in the sample
and of all the samples and record the same in
tables.
3. Find the mean of the all the samples.
4. Find the mean of the mean .
Mean and Range charts
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54. Find the range of the samples
6. Find the mean of the range of all samples.
7. Compute the trial control limits or 3 control
limits or control for X and R as follows:
Control limits for X chart:
CLX= X± 3 X = X ± A2R
5.
Mean and Range charts
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55. Control for R Chart:
UCLR=D4R
LCLR=D3R
Where A2, D3, D4 are factors obtained from Table
B, factors for controlling limits.
8. Draw X and R Charts
Mean and Range charts
By. Prof. Raghavendran V
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57. Poka-Yoke
This is known as „MISTAKE-PROOFING‟
From Japanese:
Yokeru (avoid) & Poka (inadvertent errors)
Characteristics of Poka-Yoke
Eliminates the cause of an error at the source;
Detects an error as it is being made;
Detects an error soon after it has been made
but before it reaches the next operation.
Prof. Raghavendran V
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58. Poka-Yoke
There are two approaches to dealing with errors:
1. ERRORS ARE INEVITABLE!
People always make mistakes.
While we accept the mistakes as natural, we
blame the people who make them.
With this attitude, we are likely to overlook
defects as they occur in production.
They may be detected at final inspection, or
worse still, by the customer.
Prof. Raghavendran V
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59. Poka-Yoke
2. ERRORS CAN BE ELIMINATED!
Any
kind of mistake people make can be
reduced or even eliminated.
People make fewer mistakes if they are
supported by proper training and by a
production system based on the principle that
errors can be avoided.
One method of detecting errors is inspection.
Prof. Raghavendran V
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60. Poka-Yoke
There are two major types of inspection.
1. SAMPLING INSPECTION.
In some factories, the attitude is:
“It may take all day to inspect all product”.
“There may be a few defects, but sampling is
the most practical way to check”.
Prof. Raghavendran V
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61. Poka-Yoke
2. 100% INSPECTION.
In the best factories, the attitude is:
“We won‟t tolerate a single defect!”
“We will organize production so that 100% of
the product can be easily inspected”.
“That makes the most sense”.
Prof. Raghavendran V
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62.
100% Inspection - Reflection
Think about 100% inspection.
Even one defective product is enough to
destroy a customer‟s confidence in a
company.
To stay competitive a company must supply
good product in thousands.
The best way to achieve this is to organize
production to inspect 100% of the products.
Prof. Raghavendran V
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63. Two Strategies for Zero Defects
1. DON’T MAKE IT!
Don’t make product you don’t need.
The more you make, the greater the
opportunity for defects.
Follow ‘just-in-time’ principles by only
making what is needed, when it is
needed in the amount needed.
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64. Two Strategies for Zero Defects
2. Build Safeguards
The user is an expert in finding defects.
Therefore build safeguards into the
production process.
Quality can be built into products by
implementation of Poka-Yoke.
Prof. Raghavendran V
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65. Poka-Yoke Devices
Human errors are usually inadvertent.
Poka-yoke devices help us avoid
defects, even when inadvertent errors
are made.
Poka-yoke helps build quality into
processes.
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66. It is invented by Dr. Mizuno, professor of Tokyo institute
of technology. It is planning tool which can be applied to
any organization to fulfill customer expectations.
It focuses on customers expectations or need, often
referred to as customer‟s voice. It is team based tool in
which customer needs are the driving force for the
product development process. Conflicting needs are
identified early in QFD Process and can be resolved
before production.
Quality functional deployment
By Prof. Raghavendran V
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67. A systematic method for transferring
customer wants/needs/expectations into
product and process characteristics
Quality Function Deployment
68. QUALITY FUNCTION DEPLOYMENT
Quality Function Deployment
Voice of the customer
House of Quality
QFD: An approach that integrates the “voice of the
customer” into the product and service
development process.
69. QFD employed to translate customers expectations, in
terms of specific requirements, into directions &
actions, in terms of engineering or technical
characteristics, that can be employed through:
Product Planning
Part Development
Process Planning
Production Planning
Services
Quality Functional deployment
By Prof. Raghavendran V
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70.
There are two types of teams
1. One is existing team with fewer members
2. Other team composed of
marketing, design, quality, finance and product.
QFD Team
By Prof. Raghavendran V
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71.
Improves customer satisfaction
◦
◦
◦
◦
Focus on requirement
competitive information
prioritizes resources
Identifies items that can be acted upon
Reduces implementation time
◦
◦
◦
◦
Decrease midstream design changes
Limits production problems
Avoid future redundancies
Identifies future application opportunities
Benefits of qfd
By Prof. Raghavendran V
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72.
Promotes team work
◦
◦
◦
◦
Based on consensus
Creates communication at surfaces
Identifies actions at interfaces
Create global views of details
Provides documentation
◦
◦
◦
◦
Documents rationale for design
Is easy to assimilate
Adapts to changes
Provides framework to sensitivity analysis
Benefits of qfd
By Prof. Raghavendran V
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73. The primary planning tool used in QFD is the House
Of Quality.
HoQ translates voice of customers into design
requirements that meet specific targets.
Managers and Engineers consider the house of quality
to be primary chart in quality planning
House of quality
By Prof. Raghavendran V
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74. The exterior walls of the house are the customer
requirements. On the left side is a listing of the
voice of customer. On right side are prioritized
customer requirements.
2) The ceiling shows technical
descriptors, consistency of the product is provided
by engineering characteristics, design constraints
and parameters.
1)
House of quality’s part description:
By Prof. Raghavendran V
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75. The interior walls are relationship between customer
requirements and technical descriptors. Customers
expectations (requirements) are translated into
engineering characteristics (technical descriptors).
4) The roof is the interrelationship between the technical
descriptors.
5) The foundation or base is known as prioritized
technical descriptors.
3)
House of quality’s part description:
By Prof. Raghavendran V
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76. House of quality
Relationship B/W
technical descriptors
Technical
Descriptors
customer
needs
Prioritized
Customer
Needs
relationships
between
customer
needs and
engineering
metrics
Prioritized Technical
descriptors