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8/13/2019 10 Lecture g Kano Analysis
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2008 Prentice Hall, Inc. S6 1
Week 11
-KANO ANALYSIS
Total Quali ty Management
TQM5413
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The Theory of Attractive Quality
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Understanding Quality Attributes
Very Satisfied
Very Dissatisfied
Customer Satisfaction
AchievedNot at all
AchievedDegree of Achievement
One Dimensional Quality
Attractive Quality
Must be Quality
Reverse Quality
Basic Needs
Expected Needs
Excitement Needs
Unspoken
Unspoken
Spoken
Indifferent Quality
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Attractive Quality Creation
- Can help us to better understand customer needs.
- Can help us to prioritize different customer needs.
- Can help us to identify different customer segments.
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Life-Cycle of Quality Attributes
Indifferent Quality
Very Satisfied
Very Dissatisfied
Customer Satisfaction
AchievedNot at all
AchievedDegree of Achievement
One Dimensional Quality
Attractive Quality
Must be Quality
Reverse Quality
1
2 3
4
Excitement Needs
Expected Needs
Basic Needs
Unspoken
Spoken
Unspoken
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A Step Model for KANO Study
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Identification of Quality Attributes
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Which Lens Provides the Best View
Identification of Quality Attributes
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Creating the Lens of the Customer
Identification of Quality Attributes
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How to ask a Kano Question
Design of Kano Questionnaire
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An Example
Design of Kano Questionnaire
D i f K Q i i
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Design of Kano Questionnaire
T t d E l ti f Q ti i
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Test of Questionnaire
Test and Evaluation of Questionnaire
C ll ti f K d t
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Administering the Questionnaire
Collection of Kano data
Cl ifi ti f Q lit Att ib t
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Classification of Quality Attributes
Kano Evaluation Table
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A l i th K D t
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Analyzing the Kano Data
I t t ti
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Interpretation
Benefits
I t t ti
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Interpretation
How to use better understanding of Attributes
Select acco rding to M>O>A>I
If Kano Codes are Tied
I t t ti
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Interpretation
Better and Worse Index
Interpretation
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Interpretation
Better / Worse Plot
Your Group Assignment
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Your Group Assignment
Fol low th e Step Model of Kano Study , depicted on sl id e 6.
Take any p roduc t or serv ice and cond uct Kano Analysis.
Minimum att r ibutes sho uld be six.
Minimum respon dents sho uld be 30.
Each g roup n eed to inclu de fo l low ing in the assignm ent ;
1. Ident i f icat ion of cus tom er need.
2. Ident i f icat ion o f a prod uc t.
3. Ident i f icat ion of qu al i ty attr ibutes by m aking the Lens o f the customer.
4. Formulat ion of K ano Quest ion naire.
5. Formulat ion o f Kano Evaluat ion Table for each attr ibu te.
6. An alysis of K ano Data by art iculat ing
- customers as most comm on, 2ndmost comm on and 3rdm ost common in each at t r ibu te
- better/wo rse plo t.
7. Ident i fy the customer segments now.