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International Journal of Mechanical Engineering and Technology (IJMET)
Volume 9, Issue 5, May 2018, pp. 703–716, Article ID: IJMET_09_05_078
Available online at http://www.iaeme.com/ijmet/issues.asp?JType=IJMET&VType=9&IType=5
ISSN Print: 0976-6340 and ISSN Online: 0976-6359
© IAEME Publication Scopus Indexed
WHAT CUSTOMERS NEED FROM A PRODUCT
AND WHY PRODUCTS FAIL?
Reena Pant
Research Scholar, BVDUCOE, Pune, India
Dr. Sachin Chavan
Professor, BVDUCOE, Pune, India
Dr. Sachin Shendokar
Professor, BVCOE, Lavale, Pune, India
ABSTRACT
Total Quality Management provides many tools. To know and understand the
demands of the customers Quality Function Deployment is there. Failure Modes and
Effects Analysis helps to understand why products fail and what are the causes.
In this paper Quality Function Deployment is developed for Air Conditioner
subsequent by Failure Modes and Effects Analysis. By developing the House of
Quality for Quality Function Deployment the customers’ requirements for various
characteristics of AC are converted into manufacturers’ how. In Failure Modes and
Effects Analysis, severity for various causes of failures, their possibilities of detection
during design stage and occurrences are found out. These parameters are used for
calculating the Risk Priority Number.
Keywords: Quality Function Deployment, House of Quality, Failure Modes and
Effects Analysis, Risk Priority Number, Air Conditioner
Cite this Article: Reena Pant, Dr. Sachin Chavan and Dr. Sachin Shendokar, What
Customers Need from a Product and Why Products Fail?, International Journal of
Mechanical Engineering and Technology, 9(5), 2018, pp. 703–716.
http://www.iaeme.com/IJMET/issues.asp?JType=IJMET&VType=9&IType=5
1. INTRODUCTION
The customers are life line of any business. They are the people with demand and needs. It is
usual market practice that the customers want user friendly products. What is meant by this
term “User friendly”? Is it stress free interfacing or handling or dependability on the product?
Yes, to some extent it is. When it is interfacing; it is ergonomics, when it is handling; it is
design or anthropometry and when it is dependability means we are talking about quality. The
customers may be or may not know about design or ergonomics or total quality management
but they want satisfaction of using and owning the product. It is expected that the
manufacturers must understand the needs of the customers and consider them in their products
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and at the same time make their products dependable and reliable for the customers. So, how
the manufacturers go for it and how the reliability is to be increased?
Total Quality Management (TQM) provides us with many tools to understand the needs of
the customers. Quality Function Deployment (QFD), is one of them which facilitates for
converting the customers‟ requirement into a quantitative language understandable by
manufacturers. Failure Mode and Effects Analysis (FMEA) is a tool which helps to identify
various possible causes of failures so that improving upon them, reliability of the product will
increase. Once the causes of failures are identified then their severity, possibilities of
detection and occurrences are identified. Risk Priority Number (RPN) is calculated for each
cause of failure by the multiplication of severity, detection and occurrences.
In this paper the tool of QFD, the House of Quality, is developed for Air Conditioner
(AC) to identify the customers‟ requirements. Then the Failure Mode and Effects Analysis is
done for identifying various causes of failure and to find RPN for them.
2. TOOL 1: QUALITY FUNCTION DEPLOYMENT
2.1. Development of House of Quality for Air Conditioner
House of Quality is the primary planning tool of QFD. Following steps are followed to
develop the House of Quality for AC:
Step 1: Capturing Customer Requirements (What)
Different techniques to capture the requirements of the customers are interviews,
brainstorming and questioning. In this work questioning technique is used and a questionnaire
is developed to know the customers‟ requirements.
Development of Questionnaire
To collect opinion of the customers on the various features of Air Conditioner, questions
related to Design, Ergonomics and Total Quality Management are framed in the
questionnaire. The questionnaire is divided into two parts. The first part deals with the
Background Information of the Customer, like: his Age, and Educational Background, the
Brand of the AC they are using, Years of usage of the AC, etc. The second part of the
questionnaire deals with the Product Information. Many of the customers may not know about
Ergonomics or Total Quality Management or Design. So, to retrieve the information about
these aspects of AC, the questions in the questionnaire are framed in such a simple manner,
that the customers answer them, without being aware that they are answering about the
Ergonomics or the TQM or the principles of design. The second part of questionnaire is again
sub-divided into four attributes.
They are:
Aesthetics
Feel
Quality
Control Features
To elaborate these attributes, various characteristics are defined for them. For example:
for the attribute Aesthetics, characteristics defined are Appearance, Shape, Size, Colour, Look
and Attractiveness, which completely define the Aesthetics.
Customer Survey: The opinion of customers is collected in Mumbai Area. Around one
hundred and fifty questionnaires were distributed for the purpose of customer survey. Some
participants did not return it; some gave opinion of two ACs in one questionnaire. Such
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questionnaires are not considered. In all hundred questionnaires are considered for the study.
The consolidated data of the customer survey in the questionnaire is shown in the following
table no. 1: Table 1 Opinion of the customers
Attribute 1: Aesthetic Characteristics of AC
Very Bad (1) Bad (2) Fair (3) Good (4) Excellent (5)
Appearance 3 22 63 12
Shape 1 3 20 60 16
Size 1 6 31 50 12
Colour 1 4 16 57 22
Look -- 3 26 53 18
Attractiveness 3 3 32 48 14
Attribute 2: Feel Aspects regarding AC
No (1) Less (2) Somewhat (3) Fairly (4) Highly (5)
Confidence 3 5 22 49 19
Pride 5 5 24 42 21
Reliability 2 2 16 48 29
Fun to Use 2 12 18 43 21
Simple to use 2 3 10 43 41
Gives good performance 2 3 15 46 34
Satisfaction of owning 3 3 16 42 36
Satisfaction with respect to
Price
3 3 21 43 30
Attribute 3: Quality Characteristics of AC
Very Bad (1) Bad (2) Fair (3) Good (4) Excellent (5)
Performance 4 14 59 17
Reliability Not Reliable
(1)
Reliable
(2)
Fairly Reliable
(3)
Very Reliable
(4)
Highly
Reliable (5)
4 12 24 47 13
Ease of use Not Easy (1) Less Easy
(2)
Somewhat Easy
(3)
Easy (4) Very Easy (5)
1 4 8 50 37
Safety Not Safe (1) Less Safe
(2)
Somewhat Safe
(3)
Safe (4) Very Safe (5)
2 7 66 25
Durability Not Durable (1) Less
Durable
(2)
Somewhat
Durable (3)
Durable (4) Very Durable
(5)
1 2 16 69 12
Stress while using
the Product
Very Tiring (1) Tiring (2) Somewhat
Tiring (3)
Less Tiring (4) Not Tiring (5)
7 6 34 52
Brochure and
Documentation
Very Bad (1) Bad (2) Fairly Good (3) Good (4) Excellent (5)
1 5 29 53 12
Noise while
operating
Very Noisy (1) Noisy (2) Fairly (3) Silent (4) Very Silent
(5)
9 37 44 10
Vibrations while
operating
Excessive (1) More than
Normal
(2)
Normal (3) Less than
normal (4)
Very Little (5)
6 34 22 35
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These attributes and characteristics are used as customer requirements in the House of
Quality. All the attributes, from the questionnaire are used as Primary Customer requirements.
They are represented in the first column of House of Quality, as shown in figure 1 given as
Annexure 1. The Characteristics defining each Attribute in the questionnaire are used as
Secondary Customer requirement. They are shown in the second column of House of Quality
(Annexure 1).
Step 2: Capturing Technical Descriptors (How)
Defining the appropriate technical descriptors requires an evaluation of the customer
requirements. The defined requirements are each looked at in turn and the descriptors, which
may address the requirements, are defined. The questionnaire is designed in such a manner
that the customers answered for four attributes of the product. These attributes are already
discussed in the previous section. So, Design, Ergonomics and TQM are used as the Primary
Technical Descriptors. Various tools of these primary technical descriptors are used as
secondary technical descriptors. For example, for Design as primary technical descriptor,
Design for assembly, Design for manufacturing etc. are taken as secondary technical
descriptors. Primary technical descriptors are shown in the top row and secondary technical
descriptors are shown in the next row of the House of Quality (Annexure 1).
Step 3: Developing a Relationship Matrix between What's and How's.
Every secondary customer requirement is checked with each secondary technical descriptor to
find out how the particular technical descriptor is related to the specific customer requirement.
Depending on the relationship, the value of 9, 3 or 1 is allocated.
For example, the secondary customer requirement, “Appearance” has got “Very Strong”
relationship with secondary technical descriptors like “Design for assembly”, “Design for
manufacturing etc. So, in House of Quality in relationship matrix, the value of “9” is
assigned. For secondary technical descriptor “User friendly” of primary technical descriptor
Attribute 4: Control Features of Air Conditioner
Worse (1) Bad (2) Fair (3) Good (4) Very Good (5)
Appearance of
remote
2 5 23 50 16
Shape of remote 2 8 22 53 12
Colour of Remote 3 5 20 60 8
Size of control
buttons
1 6 27 46 15
Look of control
buttons
2 7 29 42 16
Layout of control
buttons
1 5 26 50 14
Labels marked on
control buttons
2 5 20 52 16
Colour scheme
used to distinguish
control buttons
11 32 37 15
Adequacy of
controls for
different functions
2 6 32 50 6
Ease of operating
controls
1 4 20 47 23
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“Ergonomics” value of “3” is assigned, which shows a “Strong Relationship”. For secondary
technical descriptor “Safety” for primary technical descriptor “Quality” value of “1” is
assigned, which is for “Feeble Relationship”. In the similar manner for every secondary
technical descriptor, relationship is found with secondary customer requirement.
Step 4: Quantitative Customer Requirement
In this study the mean value obtained from the customer survey has been used as the
requirement of the customers. An effort has been made to introduce a group decision making
approach. This approach takes into account multiple preference questionnaire and fuses
different expressions into one uniform group decision. So, the qualitative statements of
customers‟ demand are converted into quantitative statements understandable by the
manufacturers. The calculation of customer requirement value is given in the following table
no. 2.
Table 2 Mean value of customer requirement for appearance
Appearance
Sr. No. Response Category Total Score Group
X f f * x
1 Excellent 5 12 60
2 Good 4 63 252
3 Fair 3 22 66
4 Bad 2 3 6
5 Very Bad 1 0 0
Total 100 384
x=S(f *x)/n 3.84
Where X is rating as given in the questionnaire
f is the number of customers who have chosen the particular rate
n is the total number of customers surveyed
f * x is calculated by multiplying the values of respective columns of “f” values and “x”
values. Then their total is obtained. The total value is divided by the responses received in the
particular secondary requirement. This value is shown in the Right-hand side column of
House of Quality (Annexure 1).
Step 5: Calculation of Absolute Weight
To calculate the Absolute Weight, customer requirement values for various characteristics of
different attributes are multiplied by the respective values entered in the Relationship Matrix
developed in step 3. Then the summation of these multiplied values is carried out for the
entire column. For example, for the Secondary Technical Descriptor “Anthropometric data”
Absolute Weight is 594.12. The calculation is as follows:
Step 5.1: From House of Quality (Fig 1), all the Secondary Customer Requirements having
either “Very strong”, or “Strong” or “Feeble” relationship with a particular Secondary
Technical Descriptor are found out.
Step 5.2: For the particular Secondary Technical Descriptor, the Mean value of Customer
Requirement for every secondary customer requirement addressing to the particular secondary
technical descriptor is also taken from the House of Quality (Annexure 1). This data is shown
in table no. 3.
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Table 3 Calculation of Customer Requirement
Customer Requirement Technical Descriptors Relationship
Value
Mean value of
Customer
Requirement Primary Secondary Primary Secondary
Aesthetic
Characteristics
Shape
D
E
S
I
G
N
A
N
T
H
R
O
P
O
M
E
T
R
Y
9 3.87
Size 9 3.66
Look 9 3.86
Attractiveness 9 3.67
Feel
Confidence 9 3.78
Pride 3 3.71
Reliability 3 4.03
Fun to use 9 3.72
Simple to use 3 4.21
Quality
Reliability 9 3.64
Ease of use 9 4.21
Safety 9 4.14
Durability 1 3.91
Stress 9 4.32
Control Appearance 3 3.76
Shape 3 3.13
Colour 1 3.71
Size of control
Buttons
9 3.72
Look 3 3.68
Layout 9 3.77
Labels 9 3.79
Colour Scheme 9 3.59
Ease 9 3.92
Step 5.3: To calculate the “Absolute Weight”, first of all Relationship value found in step 5.1,
is multiplied by the Mean value of Customer requirement found in step 5.2. Then the
summation of all calculated values is carried out. This value is the “Absolute Weight” for the
particular Secondary Technical Descriptor. The calculation is shown in the following table no.
4:
Table 4 Calculation of Absolute Weight
Customer
Requirement
Technical
Descriptors
Relationship Value * Customer Requirement Absolute Weight
Aesthetic
Characteristics
Anthropometric
Data
9 (3.87 + 3.66 + 3.86 + 3.67) =135.54
594.12
Feel 9 (3.78 + 3.72)
+3 (3.71 + 4.03 + 4.21) = 103.35
Quality 9 (3.64 + 4.21 + 4.14 + 4.32)
+ 1 (3.91) = 150.7
Control Features 9 (3.72 + 3.77 +3.79 + 3.59 + 3.92)
+ 3 (3.76 + 3.13 + 3.68)
+ 1 (3.71) =204.53
Similarly, the Absolute Weight for all the Secondary Technical Descriptors is calculated.
They are shown in the following table no. 5.
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Table 5 Absolute Weight for Technical Descriptors
Sr. No. Technical Descriptor Absolute Weight
1 Design for Manufacturing 594.24
2 Anthropometric Data 594.12
3 Design for Assembly 557.05
4 User Friendly 481.08
5 Accuracy 437
6 Proportion 413
7 Creativity 402
8 Precision 376.44
9 Geometric Design 368
10 Balance 361
11 Rhythm 355
12 Safety 350
13 Form Variation 313.31
14 Silent Operation 304.3
15 Visualization 274.8
16 Efficient Cooling 273
17 Material 241
18 Contrast 212
19 Minimum Maintenance 211.8
20 Display Output 184.36
21 Variety 157
22 Unity 141
23 After Sales Service 124
24 Absorb Current Fluctuations 109.46
These values are given in the bottom line of the House of Quality (Annexure 1).
2.2. Outcome of the House of Quality
Higher values of the secondary technical descriptors indicate that the manufacturers have to
incorporate these aspects more as they are the indicators of the customers‟ needs. The
customers‟ requirements for four attributes and their characteristics, which are primary and
secondary customers‟ requirements, the primary technical descriptors are defined and tools of
them are taken as secondary technical descriptors. For every secondary customer requirement
customer rating is found and for every secondary technical descriptor absolute weight is
calculated. For example, the customer rating for “stress while using the product” is having the
highest value. So the technical descriptors like rhythm, anthropometric data, and silent
operations are to be taken care of while designing the product. The absolute weight for Design
for manufacturing (the technical descriptor) is one of the highest values. It means that
manufacturers have to enhance characteristics like appearance, attractiveness, reliability
performance safety and durability (the customer requirements) in the AC. Hence, QFD gives a
clear idea of the requirements of the users and efficiently convert them into manufacturers‟
language.
Once the customers‟ requirements are established the next step taken in the study is to find
out the various reasons of failure of Air Conditioners. The tool used for the purpose is Failure
Modes and Effects Analysis.
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3. TOOL 2: FAILURE MODES AND EFFECTS ANALYSIS
3.1. Development of Failure Modes and Effects Analysis charts for AC
FMEA is an analytical technique (a paper test) that combines the technology and experience
of people in identifying foreseeable failure modes of a product or process and planning for its
elimination. FMEA is designed to assist the engineers to improve the quality and reliability of
design. To begin with the application of FMEA for an AC, the possible failure modes for AC
are recognized.
The possible failures modes for Air Conditioner
The possible failures modes in an Air Conditioner are
Refrigeration System
Condensed Air
Evaporator
General
Electrical Systems
System/Sub system selected for the study
The study of possible failure modes has helped to identify the system/sub system in which
failure takes place. They are divided into seven categories for the study purposes:
Compressor defects and fan motor defects
Condenser defects
Choked capillary
Starting Capacitor failure
Starting Relay failure
Strainer chocking
Thermostat failure
For these seven categories the data is collected for their failure rates from various service
stations. These service stations undertake the AC repair works. The data is categorized in the
following table no. 6.
Table 6 Data collection from service stations- categorization for FMEA
Components No. of Claims Percent Ranking
Compressor and Fan Motor Defects 289 16.80 2
Condenser Defects 829 48.19 1
Capillary Choked 101 5.87 6
Starting Capacitor failure 136 7.91 4
Starting Relay failure 111 6.45 5
Strainer chocking 197 11.45 3
Thermostat failure 55 3.19 7
Total 1720 100
The data indicates that the highest number of defects occur the Condenser, which is
followed by the Compressor. The failures of strainer are ranked third and likewise other
defects have been allotted the rankings. This ranking is further used as “Occurrence” for the
calculation of Risk Priority Number.
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Development of Failure Modes and Effects Analysis chart
For the development of FMEA Chart, for each possible failure mode or defect classified
earlier, the causes of potential failure modes and their effects are recognized. For every cause,
the possibility of “Detection” at the design stage is recognized. Similarly, for every effect the
“Severity” of its happening is found out. The data collected through service station is used as
“Occurrence” of the failure mode. The Risk Priority Number (RPN) is obtained by
multiplying the values of Severity, Detection and Occurrence.
For example, for the component strainer, the chances of detection of the potential cause of
failure, worn out particles is very remote during the design stage, therefore a value of „9‟ is
given to detection. The effect of this cause is choked capillary and it has very high ranking
when potential failure mode affects safe operation and failure occurs with warning. The value
of „9‟ is assigned for such severity. The value of occurrence of failure is „8‟ for the strainer as
per the data collected from the service station. Therefore, RPN is calculated as to be equal to
9*8*9=648. The following tables from table no. 7 to table no. 13 show the FMEA for the
seven components of AC.
Table 7 FMEA for Compressor and Motor
Compressor Motor
Item
Function
Potential
Failure
Mode
Potential
Effects
of
Failure
Seve
rity
(S)
Potential Cause/Mechanism
of Failure
Occurr
ence(O)
Detect
ion(D)
Risk
Priority
Number
(RPN)
Compressor
Motor / To
run
Compressor
Burn Out
Overheat
ing and
burning
smell
9
Continuous Running
9
3 243
No Varnishing of Motor 1 81
Shaft Balance and Bearing
Problem 1 81
Loose Connection 2 162
Low Speed
No
proper
cooling
of the
space
7
Insulation Defects 1 63
No Servicing of Motor 3 189
Fan Capacitor Weak 2 126
Ice
formatio
n on
cooling
coils
7
No Servicing of Motor 3 189
Fan Capacitor Weak 2 126
Insulation
Compres
sor
current
increases
8
No Servicing of Motor 3 216
Shaft Balance and Bearing
Problem 1 72
Damage
of
capacitor
and
switch
8
Loose Connection 1 72
Frequent Starting and
Stopping 2 144
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Table 8 FMEA for Condenser Defects
Condenser Defects
Item Function
Potential
Failure
Mode
Potential Effects
of Failure S Potential Cause/Mechanism of Failure O D
Risk Priority
Number
(RPN)
To condense
the vapor
refrigerant
Fails to
condense
properly
High Head
Pressure 8
Reduced air quantity
10
6 480
Dirt on coil 6 480
Restricted air inlet and outlet 5 400
Dirty fan blades 7 560
Incorrect rotation of fan 2 160
Poor Installation 8 640
Efficiency Loss 7
Reduced air quantity 6 420
Dirt on coil 6 420
Restricted air inlet and outlet 5 350
Dirty fan blades 7 490
Incorrect rotation of fan 2 140
Poor Installation 8 560
No proper
cooling effect in
the room
7
Reduced air quantity 6 420
Dirt on coil 6 420
Restricted air inlet and outlet 5 350
Dirty fan blades 7 490
Incorrect rotation of fan 2 140
Poor Installation 8 560
To transfer
heat from
refrigerant to
air
Condenser
tube
damaged
If leakage
persist,
continuous
running of
compressor
damages the
system
9 Poor Installation 8 720
Efficiency Loss 7
Reduced air quantity 6 420
Dirt on coil 6 420
Restricted air inlet and outlet 5 350
Dirty fan blades 7 490
Incorrect rotation of fan 2 140
Poor Installation 8 560
Table 9 FMEA for Capillary Tube
Capillary Tube
Item Function Potential
Failure Mode
Potential
Effects of
Failure
Sever
ity(S)
Potential Cause/Mechanism of
Failure
Occurren
ce(O)
Detectio
n(D)
Risk
Priority
Number
(RPN)
For dropping
pressure of
refrigerant
flowing
through it
Choke up
No gas
flow in
the
capillary 8
Oil in the refrigerant
5
4
160
Compress
or power
will
increase
8
Oil in the refrigerant 4 160
Incorrect selection of Capillary
bore and length 1
40
Ice
formation
on the
capillary
tube
7
Oil in the refrigerant 4 140
Incorrect selection of Capillary
bore and length 1
35
Pressure
drop in
the
compresso
r
8
Oil in the refrigerant 4 160
Incorrect selection of Capillary
bore and length 1
40
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Improper
cooling
effect
7
Oil in the refrigerant 4 140
Incorrect selection of Capillary
bore and length 1
35
Leakage in
Capillary
Tube
Compress
or power
will
increase
8
Oil in the refrigerant 4 160
Incorrect selection of Capillary
bore and length 1
40
Ice
formation
on the
capillary
tube
7
Oil in the refrigerant 4 140
Incorrect selection of Capillary
bore and length 1
35
Pressure
drop in
the
compresso
r
8
Oil in the refrigerant 4 160
Incorrect selection of Capillary
bore and length 1
40
Improper
cooling
effect
7
Oil in the refrigerant 4 140
Incorrect selection of Capillary
bore and length 1
35
Table 10 FMEA for Starting Capacitor
Starting Capacitor
Item
Function
Potential
Failure Mode
Potential
Effects of
Failure
Sever
ity(S)
Potential Cause/Mechanism of
Failure
Occurren
ce(O)
Detectio
n(D)
Risk
Priority
Number
(RPN)
To provide
starting
torque to
motor
Fails to
provide
torque
Starting
trouble 8
Fails to provide starting torque
7
5 280
Motor does not start at all 5 280
Fuse blown
out 8
Motor does not start at all 5 280
Motor does
not start at
all
Compressor
does not start
at all
8
Fails to provide starting torque 5 280
Motor windings are weak 6 336
Electrical Problems 8 448
Table 11 FMEA for Starting Relay
Starting Relay
Item
Function
Potential
Failure Mode
Potential
Effects of
Failure
Sever
ity(S)
Potential Cause/Mechanism of
Failure
Occurren
ce(O)
Detectio
n(D)
Risk Priority
Number
(RPN)
Starting
motor for
running
compresso
r
Relay contact
fails to open
when
compressor
has started
Compressor
motor
winding
becomes
weak 7 Excess load on relay
6
2 84
Formation of
carbon
deposit on
contact
surface
7
Winding of relay gets
overheated. 2 84
Corrosion 4 168
Relay contact
does not close
while
compressor
has started
Relay
contact
melts 8
Winding of relay gets
overheated. 2 96
Continuous
running of
compressor
if contact
fails to open 9
Excess load on relay
2 108
Compressor
may not start 8
Winding of relay gets
overheated. 2 96
Corrosion 4 192
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Table 12 FMEA for Strainer
Strainer
Item/Function
Potential
Failure
Mode
Potential
Effects of
Failure
Seve
rity(
S)
Potential Cause/Mechanism of
Failure
Occurre
nce(O)
Detecti
on(D)
Risk
Priority
Number
(RPN)
To absorb
moisture
Fails to
absorb
moisture
No cooling
effect 8
Too much moisture in
refrigerant
8
5 576
To Collect dust
particles Choke up
Presence of
oil prevents
flow of
refrigerant
9
Dust particles in refrigerant 9 648
Worn out particles from the
compressor parts 9 648
Table 13 FMEA for Thermostat
Thermostat
Item Function
Potential
Failure
Mode
Potential
Effects of
Failure
Seve
rity(
S)
Potential Cause/Mechanism
of Failure
Occurren
ce(O)
Detecti
on(D)
Risk
Priority
Number
(RPN)
To control room
temperature and
accordingly start
and stop
compressor
Contact
Failure
Compressor
runs
Continuousl
y
9
Pitting of contact surfaces
4
3 108
Internal springs get stuck 7 252
Carbon deposits on contact
surface 6 216
Compressor
does not
start at all
8
Circuit Problem 5 160
Arcing results in contact
getting welded 7 224
Improper
Setting
Fails to
control
room
temperature
7
Thermostat not kept in proper
position 9 252
Design Problem 1 28
Circuit Problem 5 140
The RPN value is an indicator of risks which are possible reasons of failure in AC. As
some potential causes/ mechanisms of failures are common for different potential modes
therefore the highest value of RPN is considered in such cases. Some of these values having
RPN more than 400 are given in the following table no. 14.
Table 14 RPN in descending order
Sr. No. Potential cause/Mechanism of Failure RPN
1 Poor Installation 720
2 Worn out particles from the compressor parts 648
3 Dust particles in refrigerant 648
4 Too much moisture in refrigerant 576
5 Dirty fan blades 560
6 Reduced air quantity 480
7 Dirt on coil 480
8 Electrical Problems 448
9 Restricted air inlet and outlet 400
3.2. Outcome of the FMEA
It is observed that poor installation, dust particles in refrigerant, worn out particles from the
compressor part; dirty fan blades etc. are some of the potential causes or mechanism of failure
which have the highest values of RPN. Higher values indicate more concern and attention is
required for the particular potential cause/mechanism of failure of AC. This doesn‟t mean that
Reena Pant, Dr. Sachin Chavan and Dr. Sachin Shendokar
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lower values can be neglected, but corrective measures to be taken can be ranked lower in
such cases. Sometimes due to improvements carried out for causes of failure of higher values
of RPN, a lower RPN cause gets eliminated.
For example, for the condenser, the potential cause of failure is poor installation with a
possibility of detection at the design stage as “8”. For this potential failure mode is
“condenser tube damage” and effect of failure is “continuous running of the compressor”. It
has a severity of “9”. Therefore, RPN has been calculated as 8*9*10, 10 being the occurrence.
This value is a clear indication that to increase reliability the potential causes and effects
indicated in analysis should be taken care during the design stage only.
4. CONCLUSIONS
Finding the requirements of the customers and converting them into the language understood
by the manufacturers are possible with the help of QFD, a quality tool. When the customers
talk about performance the manufacturer must understand that the customers want efficient
cooling, silent operation as quality aspects and accuracy and precision from ergonomics point
of view and visualization from design aspect are to be considered to enhance the performance.
The house of quality shows all these features.
FMEA has given the values of RPN, indicating the possible failures in the AC. RPN
values are relative measure of the design risks.
Therefore, it can be said that with the help of QFD one can find what customers want and
FMEA will tell why the products fail.
REFERENCES
[1] Abraham Moody K, R.R Lal and Vijay Pandey, Analysis of Customer Oriented Product
Development with Quality Function Deployment, International Journal of Mechanical
Engineering and Technology , 8(5), 2017, pp. 270-279
[2] Praveen Padagannavar. Automotive Product Design and Development of Car Dashboard
Using Quality Function Deployment, International Journal of Industrial Engineering
Research and Development, 7 ( 1 ), 201 6 , pp. 10 – 23 .
[3] Pravin Kumar.S, Venkatakrishnan.R and Vignesh B abu.S, “Process Failure Mode and
Effect Analysis on End Milling Process- A Critical Study”, International Journal of
Mechanical Engineering & Technology (IJMET), Volume 4, Issue 5, 2013, pp. 191 - 199,
ISSN Print: 0976 – 6340, ISSN Online : 0976 – 6359.
[4] Abraham Moody K, Vijay Pandey and R.R Lal, Investigation Of Customer Focussed Steel
Plant Product With Quality Function Deployment. International Journal of Mechanical
Engineering and Technology, 8(4), 2017, pp. 1 9– 25.
What Customers Need from a Product and Why Products Fail?
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ANNEXURE 1 HOUSE OF QUALITY
Custo
Appearance 9 9 9 9 3 3 3 3 9 9 3 3 1 9 3 1 3.84
Shape 3 3 9 3 3 3 9 3 9 3 1 3 3.87
Size3 9 3 3 3 9 9 9 3 3 3.66
Colour 9 9 9 9 3 1 9 9 9 3.95
Look 9 9 9 9 3 3 9 9 9 9 9 9 9 1 9 3.86
Attractiveness 9 9 9 9 9 9 3 3 9 9 9 3 9 3 3 9 9 9 1 3.67
Confidence 1 9 3 3 9 1 3 3 9 9 9 3 3.78
Pride 9 3 9 9 3 3 3 3 9 3 3 3 3 3 1 3 9 9 3 3.71
Reliablility 9 9 3 9 3 9 9 1 3 3 9 9 9 3 4.03
Fun to Use 9 9 3 3 9 3 9 9 9 3 3 1 3 3 9 3 3 9 3.72
Simplicity 3 3 9 9 3 9 3 9 1 3 1 9 9 1 4.21
Gives good performance 3 3 3 1 1 9 3 3 9 3 1 3 9 9 9 4.02
Satisfaction 9 9 3 3 1 9 9 3 9 9 9 9 9 1 3 3 9 9 3 4.05
Satisfaction with respect
to Price 9 9 3 1 1 1 1 9 9 3 3 9 3 3 3 3.94
Performance3 3 9 3 9 9 3 3 3 9 3 9 9 3 3.95
Reliability 9 9 3 9 3 3 9 3 1 3 3 9 3 9 3 3.64
Ease of use 3 3 1 1 3 9 3 9 3 1 9 3 9 4.21
Safety 9 9 1 1 3 3 3 3 9 9 9 9 4.14
Durability 9 9 3 9 3 1 9 3.91
Stress while using the
Product 3 3 1 3 9 3 3 9 1 9 1 1 3 1 3 4.32
Noise while operating 9 9 3 9 9 9 3 3 3.55
Vibrations while operating 9 9 1 1 1 1 9 9 3 3 3 3.89
Appearance of remote 9 9 3 9 9 1 3 3 3 3 3 3 3 3.76
Shape of remote3 3 1 1 1 3 3 1 3.13
Colour of Remote 3 1 9 3.71
Size of control buttons 9 9 3 3 9 3 3.72
Look of control buttons 3 3 3 3 3 3 3 3 3 3.68
Layout of control buttons 3 3 9 3 3 3 3 9 3 3 3 3 3.77
Labels marked on control
buttons 3 3 3 9 3 3 3 3 3.79
Colour scheme used to
distinguish control buttons
3 3 9 9 3 1 3.59
Adequacy of controls for
different operations 9 3 3 3.87
Ease of operating control
buttons 9 9 9 3 9 9 9 9 3 9 9 3 3 3 3.92
594.2 557.5 402 368.13 313 275 141 157 355 361 413 212 594.12 273.36 304.3 350 211.8 241 124.44 109.46 482 436.8 376 184
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