Kano Model
CN : Customers' Need
FR : Functional Requirement

Study Background

Main Related Issue

Requirement Prioritization

Requirement Classification

Lacking Equipped
(我不懂 明明有R)

Quantitative Assessment

Assistance of decision making
on engineering design

Focus only on customers' perspectives
while producers' are implicit
(好啦這點我承認)

Customer Preference

Proposal

Comparison of
original Kano/
Analytical Kano(A-Kano in brief)

Differences of
A-Kano

Kano Indices

Kano Classifier

Configuration Index

Kano Evaluator

Quantitative Measurement

Criteria Setting to classify CN
based on Kano Indices

Decision Factor of selecting FR

Surplus-based performance indicator
leveraging customers' satisfaction /producers' capacity

Feasbility

Development/Production Cost

Distinguish between CN/FR

Customer perceives CN rather than FR

Well understanding CN, change to be explicit and objective
+consideration of economic scale +實現在 FR

When it comes to a combination of product attributes
->Customer Perception can be explicitly measured as overall customer satisfaction

When it comes to desired product attributes,
->The legacy producer capacity has to be assessed

Kano Indices

Factors

X: respond of dysfunctional question
=negative result，放X軸

Y : respond of functional question
=positive，放Y軸

2-dimension Diagram

Scale

output=X+Y,且設計between 0~1
超出1 : questionable
低於0 : reverse 或 questionable
以上皆不考慮(Q不考慮, R就設計相反就好)

Asymmetric Design : Positive>Negative
因考慮到實際作答受試者tendancy易向positive傾

我個人覺得這樣的設計等於告訴世人
"我只care 原始Kano Model Diagram的的第一象限"

ri :importance index
denote the overall importance
of fi to si

ri=|ri向量|=根號(xi平方+yi平方)
o<=ri<=根號2


ri=根號2 : one-dimension
0<ri<根號2 : 可能是must-be或attractive

alpha i : satisfaction index
determine the relative level of xi & yi

Kano Classifiers

有3個threshold做基準

  1. r0
    2.alpha L
    3.alpha H
    劃分2-dimension diagram成4區域

判斷 : ri___r0?

ri<=ro

ri>r0

Indifferent FR
如果ri<=r0(半徑比r0小 畫
出來的扇形/半圓比r0畫出來的還要內圈)
就不重要，稱indifferent FR，實務上表不用管他
*不是真的指此範圍內都是indifferent factor，
但就producer資源有限角度來看，不重要這樣

判斷 : alpha i的範圍?

0<alpha i< alpha L

alpha H>alpha i<拍/2

Attractive FR

Must-be FR

alpha L < alpha i < alpha H

One-dimension FR

Configuration Index

a FR with a higher configuration index pi
is more likely to be included
in product configuration

aaaaaa

ri : 成正比

alpha i : 成反比

表示隨著alpha i增加
(must be
->過渡到one-dimension
->過渡到attractive)
priorities就越來越降低

FR with a great influence on customers' satisfaction/dissatisfaction
are more likely to be included in product configuration

Kano Evaluator

Using shared surplus(以下二者比值)
to estimate the value of planned product
1.consumer surplus
2.producer surplus

E=U/C

U : overall consumers' satisfication

U : Σzipi
summation of configuration indices

zi是個binary variable
zi=1, when f1 is incluede in product configuration
zi=0, if not

C : overall cycle time index
Every product configured from available attribute level is justified based on its expected cycle time
大概有點像IE化那樣
所以接下來會假設所以時間服從Normal Distribution

將P(expected price to be)考慮進去

aaa

333

C服從Normal Distribution

ddd

Application on
decision making:

  1. Elicitation
  2. Analysis
  3. Fulfillment of CNs

eee

  1. Identification of FR

Turn CNs into FR's manifest
用F{fi| i=1,2,....I}進行以下分析

  1. Division of market segments

conduct market investigations
for accurate differentiation

Conjoint Analysis
聯合分析

Perceptual Mapping
知覺圖

Data Mining

4,Computation of
Kano Indices

2-dimension diagram

  1. Kano Survey

5.Product Configuration Design
and Evaluation

Kano Classifiers

r0

alpha L

alpha H

Configuration Index

fff

Kano Evaluator # #

E=U/C

追求Optimized E #

Sesitivity Analysis

Sensitivity Analysis

DOE #

Genetic Algorithms(GAs)