manini sharma, shruti chandna pnsqc, oct 12-13...

Manini Sharma, Shruti Chandna

PNSQC, Oct 12-13 2015

Copyright, Manini Sharma & Shruti Chandna 2

Introduction


Introduction


Problem

Innovation

Rapid Go-to-Market

Aggressive Competition

Raw vs Usable

Information

Cognitive Capacity

Constraint

Information Overload

Decision


House of Quality Roof: EC

interrelation-

ships

Interrelationships Matrix

CAs vs ECs

Customer

perception based

competitive

assessment

Customer

Attributes (CA)

with priority

Engineering

Characteristics (EC)

Technical Complexity

and Competitor’s

Specifications

• One of Matrix Quality tools

• First developed by Mitsubishi

Heavy Industries in 1972

• Used mostly in manufacturing

organizations

• Many manifestations

• Hauser and Clausing

(1988, Harvard Business

Review)

• Blitz QFD ®


House of Quality - Structure


Criticism and Limitations

• Complexity increases exponentially with added information

• Imagine a 1200x1000 matrix

• Oversimplification can lead to poor decisions

• Customer Preference scale to compute Importance

• Is #4 twice as important as #2?

• Confused as a Decision Provider…


Think Power, Think Battery Life

8MP vs 4MP Camera Face Detection

Problem: Optimize Battery Life for Video Recording scenario


Camera Max Resolution

Battery Life

Camera Flash

Camera Peripherals

Stabilization

Auto Focus

Face Detection

Attribute A

Attribute B

1

2

3

4

5

6

7

8

9

Intel Comp

13 12

3 4

Y Y

Y Y

Y N

Y Y

30 <30

8 4

1080 720

Cu

sto

mer

Req

uir

em

en

ts

Customer Priority

Attribute A

Attribute B

3

Fro

nt

Cam

era

Res

olu

tio

n

Bac

k C

amer

a R

eso

luti

on

Nu

mb

er

of

ISP

s

ISP

Fre

qu

en

cy

Nu

mb

er

of

Co

res

Co

re F

req

ue

ncy

GP

U F

req

ue

ncy

Cam

era

Pe

rip

he

rals

Me

mo

ry F

req

ue

ncy

Bat

tery

Siz

e

Units Mega Pixels

Mega

Pixels # MHz # MHz MHz # MHz WHr

Intel 13 2 1 400 4 2.4 400 1 1600 1600

Competitor 8 2 2 320 4 2.2 400 1 800 2000

Technical Difficulty 8 8 9 1 9 2 3 5 1 8

Technical Requirements

1 1

ISP

Fre

qu

en

cy

Me

mo

ry F

req

ue

ncy

Marketing Team Customer Feedback

Engineering Inputs (HW & SW) Competitive Data from Marketing teams

Comparison

What customers want? What engineers want?

Copyright, Manini Sharma & Shruti Chandna

● ● ● ●

●

●

●

●

● ● ●

● ● ●

● ● ● ● ●

12

Cu

sto

mer

Req

uir

em

en

ts

Customer Priority

Fro

nt

Cam

era

Bac

k C

ame

ra

Nu

mb

er

of

ISP

s

ISP

Fre

qu

en

cy

Nu

mb

er

of

Co

res

Co

re F

req

ue

ncy

GP

U F

req

ue

ncy

Cam

era

Pe

rip

he

rals

Me

mo

ry F

req

ue

ncy

Bat

tery

Tech

nic

al

Req

uir

em

en

ts

ISP

Fre

qu

en

cy

Me

mo

ry F

req

ue

ncy

Intel Comp

13 12

3 4

Y Y

Y Y

Y N

Y Y

30 <30

8 4

1080 720

Units Mega Pixels

Mega

Pixels # MHz # MHz MHz # MHz WHr

Intel 13 2 1 400 4 2.4 400 1 1600 1600

Competitor 8 2 2 320 4 2.2 400 1 800 2000

Technical Difficulty 8 8 9 1 9 2 3 5 1 8

Camera Max Resolution 1

Battery Life 2

Camera Flash 3

Camera Peripherals 4

Stabilization 5

Auto Focus 6

Face Detection 7

Attribute A 8

Attribute B 9

●

●

●

●

PnP - House of Quality

•

•

•

•


“Slimming Down” the House


Key Learnings and Benefits

• Accelerates Decision Making with same accuracy

• Reduced Effort to navigate complex interdependencies

• Visual tool to communicate effectively

• Data Availability accelerates Decision Making

• Missed Data becomes obvious

• Engineering is most suited to drive the process

• HoQ can be used Regularly


Wearables


Internet of Things


Acknowledgements

The authors would like to thank

• Rajesh Yawantikar – Manager, Intel Software Quality, Intel Corporation

• Ove Armbrust – Software Quality Engineer, Intel Corporation

• Amith Pulla – Program Manager, Intel Corporation

• Vipul Batta – Engineering Manager, Intel Corporation


Image Credits • Slide 2:

• Mobile Devices*: Tony Vincent, Learninghand.com

• Complex Software Design*: Bing Image Search

• Calendar*: Informedtrades.com

• Stakeholders*: Bing Image Search

• Slide 3

• Frustration* - http://qhselife4business.typepad.com/

• Slide 10:

• Child pic * - http://people.kyb.tuebingen.mpg.de/kienzle/fdlib/sampledetection.jpg

• Old Microsoft pic * - https://www.camcor.com/guides/Camera/Resolution.jpg

• Battery* – Bing Image Search

• Slide 15

• Wearable Watch*: gagdetsin.com

• Smart Sunglasses*: http://ic25.blogspot.in/2013/10/smart-glasses.html

• Smart black dress: Copyright Intel Corporation

• Smart inner wear: Copyright Intel Corporation

• Slide 16

• IoT Gateway Cloud design: Copyright Intel Corporation

• Smart Car Diagram*: Bing Image Search

• Inside Smart Car: Copyright Intel Corporation

• House of Quality Template from FPPT.com

Starred (*): Licensed under Creative Commons

manini sharma, shruti chandna pnsqc, oct 12-13...

Documents