continuous Improvement
-
Upload
azie-syarina -
Category
Documents
-
view
7 -
download
0
description
Transcript of continuous Improvement
![Page 1: continuous Improvement](https://reader035.fdocuments.in/reader035/viewer/2022072009/55cf92dd550346f57b9a22cf/html5/thumbnails/1.jpg)
1
© 2008 Prentice Hall, Inc. 5 – 1
Quality Function Quality Function DeploymentDeployment
�� Identify customer wantsIdentify customer wants
�� Identify how the good/service will satisfy Identify how the good/service will satisfy customer wantscustomer wants
�� Relate customer wants to product howsRelate customer wants to product hows
�� Identify relationships between the firmIdentify relationships between the firm ’’s howss hows
�� Develop importance ratingsDevelop importance ratings
�� Evaluate competing productsEvaluate competing products
�� Compare performance to desirable technical Compare performance to desirable technical attributesattributes
© 2008 Prentice Hall, Inc. 5 – 2
•• QFD is an approach to continual QFD is an approach to continual improvement that brings improvement that brings customers into the design of customers into the design of processes. It translates what the processes. It translates what the customer wants into what the customer wants into what the organization produces. QFD was organization produces. QFD was originally developed in Japanoriginally developed in Japan ’’s s Kobe Shipyard in the 1960s. A Kobe Shipyard in the 1960s. A QFD matrix takes the shape of a QFD matrix takes the shape of a house.house.
Quality Function Quality Function DeploymentDeployment
![Page 2: continuous Improvement](https://reader035.fdocuments.in/reader035/viewer/2022072009/55cf92dd550346f57b9a22cf/html5/thumbnails/2.jpg)
2
© 2008 Prentice Hall, Inc. 5 – 3
•• Customer information falls into two broad Customer information falls into two broad categories: input and feedback. Feedback is categories: input and feedback. Feedback is given after the fact; input is given before the fac t given after the fact; input is given before the fac t (early in the product development cycle). Both (early in the product development cycle). Both types of information can be further classified types of information can be further classified according to the following categories: according to the following categories:
�� SolicitedSolicited
�� UnsolicitedUnsolicited
�� QuantitativeQuantitative
�� QualitativeQualitative
�� StructuredStructured
�� Random.Random.
Quality Function Quality Function DeploymentDeployment
© 2008 Prentice Hall, Inc. 5 – 4
•• The steps for implementing QFD are The steps for implementing QFD are as follows:as follows:�� Form the project team.Form the project team.
�� Establish monitoring procedures.Establish monitoring procedures.
�� Select a project.Select a project.
�� Conduct a kickoff meeting.Conduct a kickoff meeting.
�� Train the team.Train the team.
�� Develop the matrices.Develop the matrices.
Quality Function Quality Function DeploymentDeployment
![Page 3: continuous Improvement](https://reader035.fdocuments.in/reader035/viewer/2022072009/55cf92dd550346f57b9a22cf/html5/thumbnails/3.jpg)
3
© 2008 Prentice Hall, Inc. 5 – 5
QFD House of QualityQFD House of Quality
Relationshipmatrix
How to satisfycustomer wants
Interrelationships
Com
petit
ive
asse
ssm
ent
Technicalevaluation
Target values
What the customer
wants
Customer Customer importance importance
ratingsratings
Weighted Weighted ratingrating
© 2008 Prentice Hall, Inc. 5 – 6
House of Quality ExampleHouse of Quality Example
Your team has been charged with Your team has been charged with designing a new camera for Great designing a new camera for Great Cameras, Inc.Cameras, Inc.
The first action is The first action is to construct a to construct a House of QualityHouse of Quality
![Page 4: continuous Improvement](https://reader035.fdocuments.in/reader035/viewer/2022072009/55cf92dd550346f57b9a22cf/html5/thumbnails/4.jpg)
4
© 2008 Prentice Hall, Inc. 5 – 7
House of Quality ExampleHouse of Quality Example
CustomerCustomerimportanceimportance
ratingrating(5 = highest)(5 = highest)
Lightweight 3Easy to use 4Reliable 5Easy to hold steady 2Color correction 1
What the What the customer customer
wantswants
What the Customer
Wants
RelationshipMatrix
TechnicalAttributes and
Evaluation
How to SatisfyCustomer Wants
Interrelationships
Ana
lysi
s of
Com
petit
ors
© 2008 Prentice Hall, Inc. 5 – 8
House of Quality ExampleHouse of Quality ExampleWhat the Customer
Wants
RelationshipMatrix
TechnicalAttributes and
Evaluation
How to SatisfyCustomer Wants
Interrelationships
Ana
lysi
s of
Com
petit
ors
Low
ele
ctric
ity r
equi
rem
ents
Alu
min
um c
ompo
nent
s
Aut
o fo
cus
Aut
o ex
posu
re
Pai
nt p
alle
t
Erg
onom
ic d
esig
n
How to SatisfyCustomer Wants
![Page 5: continuous Improvement](https://reader035.fdocuments.in/reader035/viewer/2022072009/55cf92dd550346f57b9a22cf/html5/thumbnails/5.jpg)
5
© 2008 Prentice Hall, Inc. 5 – 9
Lightweight 3Easy to use 4Reliable 5Easy to hold steady 2Color corrections 1
House of Quality ExampleHouse of Quality ExampleWhat the Customer
Wants
RelationshipMatrix
TechnicalAttributes and
Evaluation
How to SatisfyCustomer Wants
Interrelationships
Ana
lysi
s of
Com
petit
ors
High relationshipHigh relationshipMedium relationshipMedium relationshipLow relationshipLow relationship
Relationship matrixRelationship matrix
© 2008 Prentice Hall, Inc. 5 – 10
House of Quality ExampleHouse of Quality ExampleWhat the Customer
Wants
RelationshipMatrix
TechnicalAttributes and
Evaluation
How to SatisfyCustomer Wants
Interrelationships
Ana
lysi
s of
Com
petit
ors
Low
ele
ctric
ity r
equi
rem
ents
Alu
min
um c
ompo
nent
s
Aut
o fo
cus
Aut
o ex
posu
re
Pai
nt p
alle
t
Erg
onom
ic d
esig
n
Relationships Relationships between the between the things we can dothings we can do
![Page 6: continuous Improvement](https://reader035.fdocuments.in/reader035/viewer/2022072009/55cf92dd550346f57b9a22cf/html5/thumbnails/6.jpg)
6
© 2008 Prentice Hall, Inc. 5 – 11
House of Quality ExampleHouse of Quality Example
Weighted Weighted ratingrating
What the Customer
Wants
RelationshipMatrix
TechnicalAttributes and
Evaluation
How to SatisfyCustomer Wants
Interrelationships
Ana
lysi
s of
Com
petit
ors
Lightweight 3Easy to use 4Reliable 5Easy to hold steady 2Color corrections 1
Our importance ratings 22 9 27 27 32 25
© 2008 Prentice Hall, Inc. 5 – 12
House of Quality ExampleHouse of Quality Example
Com
pany
A
Com
pany
B
G PG PF GG PP P
Lightweight 3Easy to use 4Reliable 5Easy to hold steady 2Color corrections 1
Our importance ratings 22 5
How well do How well do competing products competing products meet customer wantsmeet customer wants
What the Customer
Wants
RelationshipMatrix
TechnicalAttributes and
Evaluation
How to SatisfyCustomer Wants
Interrelationships
Ana
lysi
s of
Com
petit
ors
![Page 7: continuous Improvement](https://reader035.fdocuments.in/reader035/viewer/2022072009/55cf92dd550346f57b9a22cf/html5/thumbnails/7.jpg)
7
© 2008 Prentice Hall, Inc. 5 – 13
House of Quality ExampleHouse of Quality ExampleWhat the Customer
Wants
RelationshipMatrix
TechnicalAttributes and
Evaluation
How to SatisfyCustomer Wants
Interrelationships
Ana
lysi
s of
Com
petit
ors
Target values(Technical attributes)
Technical evaluation
Company A 0.7 60% yes 1 ok G
Company B 0.6 50% yes 2 ok F
Us 0.5 75% yes 2 ok G
0.5
A
75%
2’to
∞
2ci
rcui
ts
Fai
lure
1pe
r 10
,000
Pan
el r
anki
ng
© 2008 Prentice Hall, Inc. 5 – 14
House of Quality ExampleHouse of Quality Example
Completed Completed House of House of QualityQuality
Lightweight 3
Easy to use 4
Reliable 5
Easy to hold steady 2
Color correction 1
Our importance ratings
Low
ele
ctric
ity re
quire
men
ts
Alu
min
um c
ompo
nent
s
Aut
o fo
cus
Aut
o ex
posu
re
Pai
nt p
alle
t
Erg
onom
ic d
esig
n
Com
pany
A
Com
pany
B
G P
G P
F G
G P
P P
Target values(Technical attributes)
Technical evaluation
Company A 0.7 60% yes 1 ok G
Company B 0.6 50% yes 2 ok F
Us 0.5 75% yes 2 ok G
0.5
A
75%
2’to
∞
2ci
rcui
ts
Fai
lure
1pe
r 10
,000
Pan
el r
anki
ng
22 9 27 27 32 25
![Page 8: continuous Improvement](https://reader035.fdocuments.in/reader035/viewer/2022072009/55cf92dd550346f57b9a22cf/html5/thumbnails/8.jpg)
8
© 2008 Prentice Hall, Inc. 5 – 15
House of Quality SequenceHouse of Quality Sequence
Des
ign
char
acte
ristic
s
Specific components
House 2
Cus
tom
er
requ
irem
ents
Design characteristics
House 1
Spe
cific
co
mpo
nent
s
Production process
House 3 P
rodu
ctio
n pr
oces
s
Quality plan
House 4
Figure 5.4Figure 5.4
Deploying resources through the Deploying resources through the organization in response to organization in response to customer requirementscustomer requirements
© 2008 Prentice Hall, Inc. 5 – 16
Quality Loss FunctionQuality Loss Function
�� Shows that costs increase as the Shows that costs increase as the product moves away from what product moves away from what the customer wantsthe customer wants
�� Costs include customer Costs include customer dissatisfaction, warranty dissatisfaction, warranty and service, internal and service, internal scrap and repair, and costs to scrap and repair, and costs to societysociety
�� Traditional conformance Traditional conformance specifications are too simplisticspecifications are too simplistic
TargetTarget--
oriented oriented
qualityquality
![Page 9: continuous Improvement](https://reader035.fdocuments.in/reader035/viewer/2022072009/55cf92dd550346f57b9a22cf/html5/thumbnails/9.jpg)
9
© 2008 Prentice Hall, Inc. 5 – 17
Unacceptable
Poor
GoodBest
Fair
Quality Loss FunctionQuality Loss FunctionHigh lossHigh loss
Loss (to Loss (to producing producing organization, organization, customer, customer, and society)and society)
Low lossLow loss
FrequencyFrequency
LowerLower TargetTarget UpperUpperSpecificationSpecification
TargetTarget --oriented quality oriented quality yields more product in yields more product in the the ““ bestbest ”” categorycategory
TargetTarget --oriented quality oriented quality brings product toward brings product toward the target valuethe target value
ConformanceConformance --oriented oriented quality keeps products quality keeps products within 3 standard within 3 standard deviationsdeviations
Figure 6.5Figure 6.5
L = DL = D22CCwherewhere
L =L = loss to societyloss to societyD =D = distance from distance from
target valuetarget valueC =C = cost of deviationcost of deviation
© 2008 Prentice Hall, Inc. 5 – 18
Genichi Taguchi states that instead of constantly directing effort toward controlling a process to assure consistent quality, design the manufactured good to achieve high quality despite the variations that will occur in the production line.
Chapter 6 Product & Process Design in ManufacturingQuality Loss FunctionQuality Loss Function
![Page 10: continuous Improvement](https://reader035.fdocuments.in/reader035/viewer/2022072009/55cf92dd550346f57b9a22cf/html5/thumbnails/10.jpg)
10
© 2008 Prentice Hall, Inc. 5 – 19
• Taguchi’s loss function explains the economic value of reducing variation in manufacturing.• L(x) = k(x - T)2 [5.1] where:L(x) is the monetary value of the loss associated with deviating from the target, Tx is the actual value of the dimension, k is a constant that translates the deviation into
dollars
Chapter 6 Product & Process Design in ManufacturingQuality Loss FunctionQuality Loss Function
© 2008 Prentice Hall, Inc. 5 – 20
Example Traditional Goal Post View of Conforming to Specifications
![Page 11: continuous Improvement](https://reader035.fdocuments.in/reader035/viewer/2022072009/55cf92dd550346f57b9a22cf/html5/thumbnails/11.jpg)
11
© 2008 Prentice Hall, Inc. 5 – 21
Exhibit 6.3 Variation in U.S.-Made Versus Japanese-Made Television Components
© 2008 Prentice Hall, Inc. 5 – 22
Exhibit 6.4 Nominal-Is-Best Taguchi Loss Function
![Page 12: continuous Improvement](https://reader035.fdocuments.in/reader035/viewer/2022072009/55cf92dd550346f57b9a22cf/html5/thumbnails/12.jpg)
12
© 2008 Prentice Hall, Inc. 5 – 23
Suppose that the specification on a part is 0.500 ± 0.020 cm. A detailed analysis of product returns and repairs has discovered that many failures occur when the actual dimension is near the extreme of the tolerance range; that is, when the dimensions are approximately 0.48 or 0.52 and costs $50 for repair. Thus, in Equation 5.1, the deviation from the target, x – T is 0.02 and L(x)= $50. Substituting these values we have 50 = k(0.02)2 or k = 50/0.0004= 125,000.Therefore the loss function is L(x) = 125000(x – T)2.This means when the deviation is 0.10, the firm can still expect an average loss per unit of L(0.10) = 125,000(0.10)2 = $12.50
Taguchi Example
© 2008 Prentice Hall, Inc. 5 – 24
Taguchi Example (continued)
Knowing the Taguchi loss function helps designers to determine appropriate tolerances economically. For example, suppose that a simple adjustment can be made at the factory for only $2 to get this dimension very close to the target. If we set L(x) = $2 and solve for x – T we get
2 = 125000(x – T)2x – T = 0.004
Therefore, if the dimension is more than 0.004 away from the target, it is more economical to adjust it at the factory and the specifications should be set as 0.500 ± 0.004.
![Page 13: continuous Improvement](https://reader035.fdocuments.in/reader035/viewer/2022072009/55cf92dd550346f57b9a22cf/html5/thumbnails/13.jpg)
13
© 2008 Prentice Hall, Inc. 5 – 25
•• Failure mode and effects analysis (FMEA)Failure mode and effects analysis (FMEA)–– a systematic method of analyzing product a systematic method of analyzing product
failuresfailures
•• Fault tree analysis (FTA)Fault tree analysis (FTA)–– a visual method for analyzing a visual method for analyzing
interrelationships among failuresinterrelationships among failures
•• Value analysis (VA)Value analysis (VA)–– helps eliminate unnecessary features and helps eliminate unnecessary features and
functionsfunctions
Design ReviewDesign Review
© 2008 Prentice Hall, Inc. 5 – 26
FMEA for potato chipsFMEA for potato chips
•experiment with recipe
•experiment with process
•introduce low salt version
•eat less
•drink more
•health hazard
•lost sales
•outdated receipt
•process not in control
•uneven distribution of salt
Too Salty
•change recipe
•change process
•change packaging
•can’t dip
•poor display
•injures mouth
•chocking
•perceived as old
•lost sales
•too thin
•too brittle
•rough handling
•rough use
•poor packaging
Broken
•add moisture
• cure longer
•better package seal
•shorter shelf life
•tastes bad
•won’t crunch
•thrown out
•lost sales
•low moisture content
•expired shelf life
•poor packaging
Stale
Corrective
Action
Effect of
Failure
Cause of
Failure
Failure
Mode
![Page 14: continuous Improvement](https://reader035.fdocuments.in/reader035/viewer/2022072009/55cf92dd550346f57b9a22cf/html5/thumbnails/14.jpg)
14
© 2008 Prentice Hall, Inc. 5 – 27
Fault tree analysis (FTA)
© 2008 Prentice Hall, Inc. 5 – 28
Value analysis (VA)Value analysis (VA)
•• Can we do without it?Can we do without it?
•• Does it do more than is required?Does it do more than is required?
•• Does it cost more than it is worth?Does it cost more than it is worth?
•• Can something else do a better job?Can something else do a better job?
•• Can it be made byCan it be made by–– a less costly method?a less costly method?
–– with less costly tooling?with less costly tooling?
–– with less costly material?with less costly material?
•• Can it be made cheaper, better, or faster by Can it be made cheaper, better, or faster by someone else?someone else?
![Page 15: continuous Improvement](https://reader035.fdocuments.in/reader035/viewer/2022072009/55cf92dd550346f57b9a22cf/html5/thumbnails/15.jpg)
15
© 2008 Prentice Hall, Inc. 5 – 29
Cost Reduction of a Bracket Cost Reduction of a Bracket via Value Engineeringvia Value Engineering
Figure 5.5Figure 5.5
© 2008 Prentice Hall, Inc. 5 – 30
Design for EnvironmentDesign for Environment
•• Design for environmentDesign for environment–– designing a product from material that can be recyc led designing a product from material that can be recyc led
–– design from recycled materialdesign from recycled material
–– design for ease of repairdesign for ease of repair
–– minimize packagingminimize packaging
–– minimize material and energy used during manufactur e, minimize material and energy used during manufactur e, consumption and disposalconsumption and disposal
•• Extended producer responsibilityExtended producer responsibility–– holds companies responsible for their product even holds companies responsible for their product even
after its useful lifeafter its useful life
![Page 16: continuous Improvement](https://reader035.fdocuments.in/reader035/viewer/2022072009/55cf92dd550346f57b9a22cf/html5/thumbnails/16.jpg)
16
© 2008 Prentice Hall, Inc. 5 – 31
Design for Environment Design for Environment (cont.)(cont.)
© 2008 Prentice Hall, Inc. 5 – 32
Measure Design QualityMeasure Design Quality
•• % of revenue from % of revenue from new products or new products or servicesservices
•• % of products % of products capturing 50% or capturing 50% or more of marketmore of market
•• % of process % of process initiatives yielding a initiatives yielding a 50% or more 50% or more improvement in improvement in effectivenesseffectiveness
•• % of suppliers % of suppliers engaged in engaged in collaborative designcollaborative design
•• % of parts that can be % of parts that can be recycled recycled
•• % of parts used in % of parts used in multiple productsmultiple products
•• % of parts with no % of parts with no engineering change engineering change ordersorders
•• Average number of Average number of components per components per product product
•• Things gone wrong Things gone wrong (TGW)(TGW)