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+

Tim Rodgers
Methods and Results
+

Method: Design for Low Cost
The design
is what it is,
we’re stuck
with it

Typical approach, design is the constraint
• Lower cost materials
• Lower cost suppliers
There are other
designs that
• Lower cost factories
meet customer
requirements at
lower cost

Re-design, challenging the assumptions:
• DFX: manufacturability, sourcing, reliability, support
• Integration: one part or subsystem doing multiple jobs
• Simplify, remove low-use / low-value features
• Reduce size and weight for lower shipping cost per unit
+

Method: DFM for Printed Circuits
Designer
interviews re:
common
tradeoffs
DFM
Manual

Tools that enable circuit
designers to choose options
based on the relative cost in
materials and processing

Production
cost & yield
data

Example
More circuit layers
(material cost)

Smaller conductors
(yield loss)
+

Method: Analyzing Cost of Quality
Field repair, customer
support, and other warranty
costs

Design failure:
Design doesn’t meet
requirements or isn’t
robust under a range of
operating conditions
(often appears as a part
failure)

Tolerance failure:
Design fails to
account for natural
variation in part
characteristics and
assembly processes

Part
design

System
design

Internal yield loss,
scrap, and rework

Production
process
design

Production process
failure:
Improperly assembled
from good parts, or
damaged prior to
shipment

Work
instructions
& training

Part failure:
Part did not meet
the performance
required by the
design

Supplier
performance
+

Results: Lower Cost Production

Monthly

Net Yield
Target

Jun-2010

Jul-2010

Aug-2010

Sep-2010 Oct-2010

Nov-2010

Dec-2010

Jan-2011

88.02%

91.80%

92.87%

93.18%

94.81%

95.49%

96.65%

97.01%

96.95%

95.00%

95.00%

95.00%

95.00%

95.00%

95.00%

95.00%

95.00%

95.00%

yield

Net Yi el d

98.00%
94.81%

96.00%
92.87%

94.00%

95.49%

96.65%
97.01%

91.80%
Design change to
provide greater
assembly tolerance

90.00%
88.02%

86.00%
84.00%

Mfg process change to
reduce defects for
critical subassembly

82.00%

Tar get

93.18%

92.00%

88.00%

Feb-2011

Assembly jigs to reduce
variability during part
installation

96.95%

Better ESD protection
for critical
PCAs, eliminating
accidental discharge
during assembly

Increased production capacity by 10%
Reduced operating expenses per line
Estimated savings = US$1.1M per year

80.00%
Jun-2010

Jul-2010

Aug-2010

Sep-2010

Oct-2010

Nov-2010

Dec-2010

Jan-2011

Feb-2011
+

Results: Lower Cost Factory Test
Top-Level Assembly

100% end-of-line
testing

Rework

Improved yield
Fewer tests and consumables

Product quality &
reliability audit
testing
Packaging and
outbound audit

Reduced sampling for audits
Eliminated rework stations

Lower operating expenses
Faster throughput
+

Results: Lower Cost SW Testing
Before
• Many test
cases, routinely
repeated for each
SW release without
regard to the causes
of call rates and
warranty cost
• No test design
process focused on
high-risk modules
and interfaces
• US-based test
execution, low job
satisfaction, high
turnover

Actions
• US-based team
trained and reassigned to test
case development
and project
management
• Test development
based on
collaboration with
design team and
feedback from
customers
• Test execution
outsourced to
offshore service
providers

Benefits
• 80% lower test cost
per development
project as a result of
offshore testing and
fewer (but focused)
tests
• 30% lower customer
call rates as a result
of test engineering
• Higher job
satisfaction, lower
turnover
+

Results: Lower Support Cost
Prevention

Rapid Deployment

Field performance and internal
verification prior to release

Sustaining engineering managed
as separate projects

Warranty cost
reduced by
$300K per year

Prioritization

Design for Support

Focus sustaining engineering on
the leading contributors

Modular design with a minimum
number of unique configurations
+

Method: Support for Quality

Assess the
competitive
environment
Determine the
risk to future
business

Measure the
cost of quality

Crossfunctional
support for
quality
initiatives

> Internal =
scrap, rework, hours spent
managing quality issues
> External = warranty
cost, field repair
+

Method: Driving Quality Upstream
Upstream in the product development process
Design-in quality and verify before ramp

Design
Factory

Product

Suppliers

Upstream in the value delivery system
Hold suppliers accountable for quality

Cost to
address
quality
issues
+

Method: Quality Maturity Model
Prevention based on proactive
analysis of the design

Increasing Cost
Effectiveness

Control parameters that are critical
to product performance, out-of-box
quality, and reliability
Analyze failures to understand causes

Improve design, part quality, and
production processes to make failures
less likely
Internal failures
Improve test & inspection
Corrective action
External failures
Corrective action
+

Method: SW Development & Test
Checkpoint

Development Priorities

Role of Testing

Invention & investigation
New features & capabilities

Rapid, focused
evaluation of new
functionality
“Does this work?”

Design improvements
Additional robustness

Broad and deep: many use
cases and configurations
“Find defects so we can fix
them”

Optimize for final release
Emphasis on defect fixes

Rapid, focused regression to
verify defect fixes
“Did we fix it without breaking
something else?”

Functionally
Complete

Code Freeze

Final Release
Results: Rework from China Factory

Problem:
Excessive rework on
subassemblies from China
factory
Rework cost

Possible solution:
Outbound inspection

$20,000
$18,000
$16,000
$14,000
$12,000
$10,000
$8,000
$6,000
$4,000
$2,000
$0
W17
W18
W19
W20
W21
W22
W23
W24
W25
W26
W27
W28
W29
W30
W31
W32
W33
W34
W35
W36
W37
W38
W39
W40

+

Better solution:
 Raising awareness of costs
with local managers
 Training
 Team incentives
 Work instructions in local
language instead of English
+

Results: Software Install Time
Original SW installation process






Focused design effort to shorten
time and eliminate defects

Up to 30 minutes to install on a
single system

25%

Confusing process including
specific manual steps that must be
executed in sequence

20%

Many opportunities for the user to
interrupt the process, requiring a
lengthy phone call to customer
support

40
35
30
25

15%

20
10%

15
10

5%


Customer less likely to use the SW
after installation, negative impact to
revenue and loyalty

Call rate

5
0%

0
Before

After

Average
length of call
(min)
Results: Part Quality Improvement
4000

3500

Leadership of kaizen projects
at this critical supplier reduced
inspection and rework costs
by 45%

3000
Defect PPM

+

2500

2000
1500
1000

500
0

Goal
Results: Eliminating Inspection
100
99.8
Net EOL Yield (%)

+

99.6
99.4
99.2
99
98.8

Target = 98.5%

Stable platform consistently
exceeding customer’s quality
goals

98.6
98.4
98.2

98

Excessive inspection reduced
margins

 Eliminated all in-process inspection, saving 5 people per shift
 Reduced incoming part sampling rate for most parts, and reverted cost of
remaining incoming inspection to suppliers, saving 8 people per shift
 Implemented SPC on critical factory processes to provide earlier detection
of quality issues and control
+

Method: Process Investigations
Process is not
being used (people
problem)
1. Do they know there is a process?
Inform them

Process is
inefficient or
ineffective (process
problem)

2. Do they know how to use the process?
Train them
Does the process take too long?
3. Do they ignore the process?
Apply Theory of Constraints
Explain to them
(identify and manage the bottleneck)
4. Do they have a better way?
Learn from them

Does the process fail to deliver expected results?
Check output from each step
Does the process deliver inconsistent results?
Determine the causes of variability and eliminate
+

Method: Process Convergence

Switching cost

Cost to support multiple
versions of the process
Cost due to incompatibility

Clearly
articulate
expected
benefits

Change
management

Communicate
value of
convergence
Determine
value of local
configurations
+

Results: Factory Line-Down
Process
Describe
Current
Situation
(Is / Is
Not)

Propose
Solutions

4

Propose
Possible
Root
Causes

Test
Solutions

Define
Problem

Integrate
and
Monitor
Change

Test Root
Causes

100%
80%

3

60%
2
40%
1

20%

0

0%
Before

After

Cycle Time
(hr)
Recurrence
(%)

After:
Systematic approach
Longer process, but highly effective
Lower overall cost
+

Results: Design Change Process
Situation: Part design changes to
reduce material cost or address field
quality issues hampered by a slow
and ineffective process

Slow approval &
implementation
through the supply
chain
Lack of coordination

Rapid deployment
to realize cost and
quality benefits

Removed unnecessary steps
Blocked “jumping” over required
steps
Added auto notification for steps
taking longer than standard time
Improved software tracking tool
+

Method: WW Supplier Experience
Germany
France
UK
Ireland
Spain
Hungary
Czech
Rep.

US
Canada
Mexico

Brazil

China

Japan
S. Korea
Taiwan

India
Singapore
Malaysia
Thailand
Indonesia
+

Method: Supplier Audit Program

Competitive
quote from
RFQ

First articles
pass
inspection

Is the supplier capable of
sustaining performance?

Routine Audit:
• Management commitment
• Statistical process control
• Problem solving
• Incoming inspection
• Training, work instructions
• Preventive maintenance, calibration
• Specifications and document control
• Internal audits
• Record keeping
• Shop floor control & 5S
+

Method: Supplier Quality Maturity
DFM feedback from
understanding of
design requirements
Proactive warning of
supply issues

Preventive action to eliminate
root cause
Process management and
control
Less testing & inspection

Basic performance
Meets requirements
Rapid corrective action as issues are reported
+

Method: Driving Quality Upstream
Product characteristic
(e.g., functionally critical
dimension)

Production process
parameter (leading
indicator)
Process capability to
consistently meet
specification

Process control to
reduce variability

It’s not about
preventing bad parts
from being shipped …
It’s about preventing
bad parts from being
built in the first place
+

Method: Benefits of Partnership
Advertised relationship with well-known customer
(especially valuable for small suppliers)
Predictable demand for better asset utilization
Contractual commitment to fixed capacity
Technical capabilities that can be leveraged to
other customers
Unique market that provides balanced portfolio

Loss of business (balanced by
customer’s switching costs)
+

Results: Favored Supplier Program

Favored suppliers (based on quality performance)
Favorable pricing and payment terms
Low inventory, ship-to-stock
Accelerated qualification of new part numbers
Audit inspection of incoming lots

Other suppliers
Incoming inspection charges reverted
(First article failures, defective parts found on the line)
Results: Molded Plastic Supplier
Supplier provided large quantities of
injection molded plastic parts
Problem: inability to consistently meet
critical dimensions and cosmetic
requirements

Flash

Pressure

+

Shorts

Melt temperature

Optimum temperature and pressure had
been defined for the part, but the supplier
had failed to conduct a window study to
determine the allowed ranges, or account for
mold wear and cavity variations
Performance improved after the supplier
established process control limits and regular
sampling from cavities with support from the
customer.
+

Results: Gold Plating Thickness
Supplier provided gold plated contacts for
printed circuits.

Problem: gold thickness varied outside the
spec limits

Control chart for gold thickness indicated a
process that varied outside 3 sigma limits.
Concentration of gold in the plating tank was
not monitored regularly and chemical
additions were made based on rough
estimates.
With support from the customer, the supplier
implemented a regular laboratory analysis
and strict controls on chemical additions.
+

Method: Rapid Time-To-Market
Invention & investigation
Experiments, feasibility studies
Evaluate concepts vs. requirements
Converge on a product design

Execution
Design verification:

Production system verification:

Can you build one unit that meets
requirements?
(rapid prototyping)

Can you build many units that meet
requirements?
(early engagement with supply chain)
+

Method: Re-Use and Leverage

Product Development
Model

Advantages

Limitations

Single product: Development
of a single product, feature
set and price point: one-at-atime to respond to the market

Laser-focus, enabling design
to achieve minimum cost for
that feature set without being
constrained by earlier
choices

Limited design re-use,
possibly lengthening the
development time; design
costs, tooling and parts not
amortized across a larger
number of units

Platform: Development of a
fixed core or foundation that
becomes the leveraged,
common basis for follow-on
derivative products

Initial design and tooling
investment is leveraged to
subsequent derivatives or
extensions with rapid time-tomarket

The initial platform design
limits derivative product
design options, reducing
flexibility and market
responsiveness

Architecture: Development of
a set of interchangeable
modules or assets with welldefined interfaces that are
designed to enable
forecasted product options to
meet anticipated needs

High level of design flexibility;
initial investment enables
lower product development
cost for later products;
leveraged tooling and faster
time-to-market; can easily
shift to other development
models

Modules are optimized for
leverage and re-use, not
necessarily for absolute
minimum cost
+

Method: Development Phase Gates
• Is the design capable and stable?
• Indicators: critical performance requirements met; design turmoil;
open issues from FMEA and other risk analysis; prototype defects
Design Gate attributed to design; design margin study complete

Process
Gate

Production
Gate

• Are the production processes (including the supply chain)
capable and stable?
• Indicators: production and test yields; prototype defects attributed to
WMS and material; changes to tools, fixtures & work instructions

• Is the factory ready to build at full production volume?
• Indicators: no open waivers (all resolved or closed); all tools & fixtures
meeting GRR requirements; functionally critical dimensions and
parameters meeting process capability requirements
+

Method: SW Development Checkpoints
Traditional “waterfall” software delivery model
Test &
Defect
Fixing

Development

Fixed
release
date

o Testing begins after development is “complete”
o Scramble to find and fix high priority defects
o Quality usually sacrificed to meet schedule

Phased “prototype” model based on hardware design
Development

Modular
architecture, core
functionality verified by
design team before
check-in

Functionally
complete
checkpoint

System
Testing

Final
Test
Code freeze
checkpoint

Defect fixing, additional noncritical enhancements
added and verified

Lower cost development, better quality

Later replaced by
agile/scrum with
staged development
& testing
Method: Time to Achieve Quality
Target

Quality

+

Failure to meet
quality target at
start of
production

#1

#2

#3

Prototype builds

Start of
production

Additional cost
and loss of
production
capacity
Results: Stable Design at Ramp
100

100
99.5

98

99

96
94
92

Target = 95%

90
88

Net EOL Yield (%)

Net EOL Yield (%)

+

98.5
98
97.5

Target = 98.5%

97
96.5
96
95.5
95

Insufficient attention to DFM and
quality during development
 Improvement after ramp required
repeated problem solving to determine
root causes and successfully eliminate
them
 Higher cost and delayed product
introduction until issues resolved

 Emphasis on design stability
 No design changes permitted after last
manufacturing readiness build
 Steady reduction in design-related defects
throughout the development phase
 Zero open waivers at ramp
 Daily tracking of yield and defects during
prototype builds
+

Results: Software Program Tracking

Metrics for tracking status:
 Requirements verified by testing
 Code turmoil (new or changed LOC)
 Remaining open defects (weighted)
 Defect find/fix rate

100%
80%
60%
40%
20%
0%

Tests passed
Tests failed
Tests not run
Tests blocked

Clear understanding of work
remaining to trade schedule
vs. scope vs. quality

Predictable outcomes that
meet business objectives
+

Method: Metrics Alignment

Performance
measures

Link business objectives to individual/team
objectives and performance measures

Considerations:
Control over outcomes and improvement
Behaviors that are encouraged

Department
& Team
Objectives

Business
Objectives
+

Method: Improvement Cycle
10
8

6
4
2

Improvement Plan

Owner

Date

0

Pareto of Root Causes

1.
2.
3.
4.

12
10
8
6
4
2
0

A

B

C

D

E

F

Measure performance
Identify negative trends
Determine root causes
Develop improvement
plans to address leading
causes
5. Hold owners accountable
for improvement
6. Measure, verify, repeat
+

Method: SW Product KPIs

Product
Development
Objectives

Key Performance Indicator
(KPI)

Key processes and behaviors

Value-added: new
features that meet
customer needs

Incremental revenue dollar
contribution as a result of the
new features

Better understanding of customer
needs to target high-value features

On-time delivery

Actual checkpoints vs. plan

Disciplined development
processes, an architecture that
supports design of incremental
features, and high quality to
ensure customer rapid qualification

Deployment

Penetration, percentage of
the installed base using the
new features

Tight collaboration with sales and
field support to drive new orders
and installations

Quality

Escapes, defects reported by
customers, especially those
that prevent the customer
from qualifying and deploying
value-added features

Dedication to zero defects and
reduction of variability
+

Results: Cost Based Metrics
Shifting to a cost measure
focuses attention on the
opportunity for savings

The data is accurate, but
doesn’t inspire action
Production Yield
85%
80%
75%
70%
65%
60%
55%
50%

Cost of Quality
$6,000
$5,000
Jan

Feb

Mar

Apr

May

Jun

$4,000
$3,000

Defects per Unit

Scrap cost
Rework cost

$2,000

1.00
0.80

$1,000

0.60

$0
Jan Feb Mar Apr May Jun

0.40

0.20
0.00
Jan

Feb

Mar

Apr

May

Jun
+

Results: Factory Quality Team
Function

Primary Responsibilities

Key Performance Indicators (KPIs)

Quality program
management

Quality issue
management, primary
customer contact window, data
reporting

1.
2.
3.

On-time and accurate data reporting
Rapid response and closure of quality issues
Effectiveness of issue management

New product
quality

Quality plan development and
implementation for new
products

1.
2.

Time-to-quality after production ramp
NPI Product Quality Scorecard

Manufacturing
test

Software support, script
development, implementation
and maintenance

1.
2.

False positive or negatives due to test script
Rapid ramp to required level of engineering
capability and independence
Contribution to productivity and COQ

3.
Document
control

BOM and change request
management, other document
control processes

1.

Quality
engineering

Proactive opportunities for
yield, quality and COQ
improvement

1.

Measurable yield, outbound quality, or COQ
improvement

Quality
assurance

Inspection, testing and data
reporting for production lines

1.
2.

Escapes found by subsequent audits
Contribution to productivity

Supplier quality
management

IQC inspection, management
of corrective action with
suppliers, proactive monitoring
of part quality

1.
2.
3.

COQ for IQC
Percent of suppliers achieving favored status
Escapes and line-downs due to part quality

2.
3.

BOM accurate and up-to-date, all partners
informed about changes and revisions
No mistakes due to incorrect PN revisions
Cycle time for change process, from initial
request to approval and implementation

What’s
important is
that each
function has
independent
control over
their KPIs
+

Results: R&D Department Aligned

Every activity should
contribute, or why do
it?

New feature

Sales, revenue
Improved performance
Operating expense
Improved cost or quality
Productivity, throughput
Improved infrastructure

Gross margin /
R&D expense
+

Results: SW Testing Effectiveness
Offshore software testing service engaged as a partner

With encouragement from the customer, the supplier invested in training to
improve testing and increase the percentage of defect reports that
resulted to a code change (defect fix)
The improved quality of service contributed to the steady reduction in
support call rates for each software release
80%
60%
40%

Reported Defects
Fixed

20%

Call Rate

0%
A B C D E F G H J

SW release
+

Method: Quality Culture Transformation
FROM
 Passive reporting of quality
issues
 Waiting to react to customer
escalations
 Corrective action to fix the
problem
 Issue closed when plan is
implemented
 End-of-line quality measures
based on testing and inspection
 IQC, sorting, testing, audits,
inspection
 Quality metrics required by the
customer
 Test plans developed and
provided by the customer
 Quality is the responsibility of the
Quality department

TO
 Leadership to closequality issues
 Proactivequality improvements
based on understanding
 Understand and eliminateroot
cause
 Issue closed when improvements
are measured
 In-process measures as early
indicators(SPC)
 Drive quality upstream(design
and parts)
 Cost of quality (COQ)and other
internal metrics
 Quality plans developed with the
customer in mind
 Quality culture in the entire
organization

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Quality and Cost Management: Methods and Results

  • 2. + Method: Design for Low Cost The design is what it is, we’re stuck with it Typical approach, design is the constraint • Lower cost materials • Lower cost suppliers There are other designs that • Lower cost factories meet customer requirements at lower cost Re-design, challenging the assumptions: • DFX: manufacturability, sourcing, reliability, support • Integration: one part or subsystem doing multiple jobs • Simplify, remove low-use / low-value features • Reduce size and weight for lower shipping cost per unit
  • 3. + Method: DFM for Printed Circuits Designer interviews re: common tradeoffs DFM Manual Tools that enable circuit designers to choose options based on the relative cost in materials and processing Production cost & yield data Example More circuit layers (material cost) Smaller conductors (yield loss)
  • 4. + Method: Analyzing Cost of Quality Field repair, customer support, and other warranty costs Design failure: Design doesn’t meet requirements or isn’t robust under a range of operating conditions (often appears as a part failure) Tolerance failure: Design fails to account for natural variation in part characteristics and assembly processes Part design System design Internal yield loss, scrap, and rework Production process design Production process failure: Improperly assembled from good parts, or damaged prior to shipment Work instructions & training Part failure: Part did not meet the performance required by the design Supplier performance
  • 5. + Results: Lower Cost Production Monthly Net Yield Target Jun-2010 Jul-2010 Aug-2010 Sep-2010 Oct-2010 Nov-2010 Dec-2010 Jan-2011 88.02% 91.80% 92.87% 93.18% 94.81% 95.49% 96.65% 97.01% 96.95% 95.00% 95.00% 95.00% 95.00% 95.00% 95.00% 95.00% 95.00% 95.00% yield Net Yi el d 98.00% 94.81% 96.00% 92.87% 94.00% 95.49% 96.65% 97.01% 91.80% Design change to provide greater assembly tolerance 90.00% 88.02% 86.00% 84.00% Mfg process change to reduce defects for critical subassembly 82.00% Tar get 93.18% 92.00% 88.00% Feb-2011 Assembly jigs to reduce variability during part installation 96.95% Better ESD protection for critical PCAs, eliminating accidental discharge during assembly Increased production capacity by 10% Reduced operating expenses per line Estimated savings = US$1.1M per year 80.00% Jun-2010 Jul-2010 Aug-2010 Sep-2010 Oct-2010 Nov-2010 Dec-2010 Jan-2011 Feb-2011
  • 6. + Results: Lower Cost Factory Test Top-Level Assembly 100% end-of-line testing Rework Improved yield Fewer tests and consumables Product quality & reliability audit testing Packaging and outbound audit Reduced sampling for audits Eliminated rework stations Lower operating expenses Faster throughput
  • 7. + Results: Lower Cost SW Testing Before • Many test cases, routinely repeated for each SW release without regard to the causes of call rates and warranty cost • No test design process focused on high-risk modules and interfaces • US-based test execution, low job satisfaction, high turnover Actions • US-based team trained and reassigned to test case development and project management • Test development based on collaboration with design team and feedback from customers • Test execution outsourced to offshore service providers Benefits • 80% lower test cost per development project as a result of offshore testing and fewer (but focused) tests • 30% lower customer call rates as a result of test engineering • Higher job satisfaction, lower turnover
  • 8. + Results: Lower Support Cost Prevention Rapid Deployment Field performance and internal verification prior to release Sustaining engineering managed as separate projects Warranty cost reduced by $300K per year Prioritization Design for Support Focus sustaining engineering on the leading contributors Modular design with a minimum number of unique configurations
  • 9. + Method: Support for Quality Assess the competitive environment Determine the risk to future business Measure the cost of quality Crossfunctional support for quality initiatives > Internal = scrap, rework, hours spent managing quality issues > External = warranty cost, field repair
  • 10. + Method: Driving Quality Upstream Upstream in the product development process Design-in quality and verify before ramp Design Factory Product Suppliers Upstream in the value delivery system Hold suppliers accountable for quality Cost to address quality issues
  • 11. + Method: Quality Maturity Model Prevention based on proactive analysis of the design Increasing Cost Effectiveness Control parameters that are critical to product performance, out-of-box quality, and reliability Analyze failures to understand causes Improve design, part quality, and production processes to make failures less likely Internal failures Improve test & inspection Corrective action External failures Corrective action
  • 12. + Method: SW Development & Test Checkpoint Development Priorities Role of Testing Invention & investigation New features & capabilities Rapid, focused evaluation of new functionality “Does this work?” Design improvements Additional robustness Broad and deep: many use cases and configurations “Find defects so we can fix them” Optimize for final release Emphasis on defect fixes Rapid, focused regression to verify defect fixes “Did we fix it without breaking something else?” Functionally Complete Code Freeze Final Release
  • 13. Results: Rework from China Factory Problem: Excessive rework on subassemblies from China factory Rework cost Possible solution: Outbound inspection $20,000 $18,000 $16,000 $14,000 $12,000 $10,000 $8,000 $6,000 $4,000 $2,000 $0 W17 W18 W19 W20 W21 W22 W23 W24 W25 W26 W27 W28 W29 W30 W31 W32 W33 W34 W35 W36 W37 W38 W39 W40 + Better solution:  Raising awareness of costs with local managers  Training  Team incentives  Work instructions in local language instead of English
  • 14. + Results: Software Install Time Original SW installation process    Focused design effort to shorten time and eliminate defects Up to 30 minutes to install on a single system 25% Confusing process including specific manual steps that must be executed in sequence 20% Many opportunities for the user to interrupt the process, requiring a lengthy phone call to customer support 40 35 30 25 15% 20 10% 15 10 5%  Customer less likely to use the SW after installation, negative impact to revenue and loyalty Call rate 5 0% 0 Before After Average length of call (min)
  • 15. Results: Part Quality Improvement 4000 3500 Leadership of kaizen projects at this critical supplier reduced inspection and rework costs by 45% 3000 Defect PPM + 2500 2000 1500 1000 500 0 Goal
  • 16. Results: Eliminating Inspection 100 99.8 Net EOL Yield (%) + 99.6 99.4 99.2 99 98.8 Target = 98.5% Stable platform consistently exceeding customer’s quality goals 98.6 98.4 98.2 98 Excessive inspection reduced margins  Eliminated all in-process inspection, saving 5 people per shift  Reduced incoming part sampling rate for most parts, and reverted cost of remaining incoming inspection to suppliers, saving 8 people per shift  Implemented SPC on critical factory processes to provide earlier detection of quality issues and control
  • 17. + Method: Process Investigations Process is not being used (people problem) 1. Do they know there is a process? Inform them Process is inefficient or ineffective (process problem) 2. Do they know how to use the process? Train them Does the process take too long? 3. Do they ignore the process? Apply Theory of Constraints Explain to them (identify and manage the bottleneck) 4. Do they have a better way? Learn from them Does the process fail to deliver expected results? Check output from each step Does the process deliver inconsistent results? Determine the causes of variability and eliminate
  • 18. + Method: Process Convergence Switching cost Cost to support multiple versions of the process Cost due to incompatibility Clearly articulate expected benefits Change management Communicate value of convergence Determine value of local configurations
  • 19. + Results: Factory Line-Down Process Describe Current Situation (Is / Is Not) Propose Solutions 4 Propose Possible Root Causes Test Solutions Define Problem Integrate and Monitor Change Test Root Causes 100% 80% 3 60% 2 40% 1 20% 0 0% Before After Cycle Time (hr) Recurrence (%) After: Systematic approach Longer process, but highly effective Lower overall cost
  • 20. + Results: Design Change Process Situation: Part design changes to reduce material cost or address field quality issues hampered by a slow and ineffective process Slow approval & implementation through the supply chain Lack of coordination Rapid deployment to realize cost and quality benefits Removed unnecessary steps Blocked “jumping” over required steps Added auto notification for steps taking longer than standard time Improved software tracking tool
  • 21. + Method: WW Supplier Experience Germany France UK Ireland Spain Hungary Czech Rep. US Canada Mexico Brazil China Japan S. Korea Taiwan India Singapore Malaysia Thailand Indonesia
  • 22. + Method: Supplier Audit Program Competitive quote from RFQ First articles pass inspection Is the supplier capable of sustaining performance? Routine Audit: • Management commitment • Statistical process control • Problem solving • Incoming inspection • Training, work instructions • Preventive maintenance, calibration • Specifications and document control • Internal audits • Record keeping • Shop floor control & 5S
  • 23. + Method: Supplier Quality Maturity DFM feedback from understanding of design requirements Proactive warning of supply issues Preventive action to eliminate root cause Process management and control Less testing & inspection Basic performance Meets requirements Rapid corrective action as issues are reported
  • 24. + Method: Driving Quality Upstream Product characteristic (e.g., functionally critical dimension) Production process parameter (leading indicator) Process capability to consistently meet specification Process control to reduce variability It’s not about preventing bad parts from being shipped … It’s about preventing bad parts from being built in the first place
  • 25. + Method: Benefits of Partnership Advertised relationship with well-known customer (especially valuable for small suppliers) Predictable demand for better asset utilization Contractual commitment to fixed capacity Technical capabilities that can be leveraged to other customers Unique market that provides balanced portfolio Loss of business (balanced by customer’s switching costs)
  • 26. + Results: Favored Supplier Program Favored suppliers (based on quality performance) Favorable pricing and payment terms Low inventory, ship-to-stock Accelerated qualification of new part numbers Audit inspection of incoming lots Other suppliers Incoming inspection charges reverted (First article failures, defective parts found on the line)
  • 27. Results: Molded Plastic Supplier Supplier provided large quantities of injection molded plastic parts Problem: inability to consistently meet critical dimensions and cosmetic requirements Flash Pressure + Shorts Melt temperature Optimum temperature and pressure had been defined for the part, but the supplier had failed to conduct a window study to determine the allowed ranges, or account for mold wear and cavity variations Performance improved after the supplier established process control limits and regular sampling from cavities with support from the customer.
  • 28. + Results: Gold Plating Thickness Supplier provided gold plated contacts for printed circuits. Problem: gold thickness varied outside the spec limits Control chart for gold thickness indicated a process that varied outside 3 sigma limits. Concentration of gold in the plating tank was not monitored regularly and chemical additions were made based on rough estimates. With support from the customer, the supplier implemented a regular laboratory analysis and strict controls on chemical additions.
  • 29. + Method: Rapid Time-To-Market Invention & investigation Experiments, feasibility studies Evaluate concepts vs. requirements Converge on a product design Execution Design verification: Production system verification: Can you build one unit that meets requirements? (rapid prototyping) Can you build many units that meet requirements? (early engagement with supply chain)
  • 30. + Method: Re-Use and Leverage Product Development Model Advantages Limitations Single product: Development of a single product, feature set and price point: one-at-atime to respond to the market Laser-focus, enabling design to achieve minimum cost for that feature set without being constrained by earlier choices Limited design re-use, possibly lengthening the development time; design costs, tooling and parts not amortized across a larger number of units Platform: Development of a fixed core or foundation that becomes the leveraged, common basis for follow-on derivative products Initial design and tooling investment is leveraged to subsequent derivatives or extensions with rapid time-tomarket The initial platform design limits derivative product design options, reducing flexibility and market responsiveness Architecture: Development of a set of interchangeable modules or assets with welldefined interfaces that are designed to enable forecasted product options to meet anticipated needs High level of design flexibility; initial investment enables lower product development cost for later products; leveraged tooling and faster time-to-market; can easily shift to other development models Modules are optimized for leverage and re-use, not necessarily for absolute minimum cost
  • 31. + Method: Development Phase Gates • Is the design capable and stable? • Indicators: critical performance requirements met; design turmoil; open issues from FMEA and other risk analysis; prototype defects Design Gate attributed to design; design margin study complete Process Gate Production Gate • Are the production processes (including the supply chain) capable and stable? • Indicators: production and test yields; prototype defects attributed to WMS and material; changes to tools, fixtures & work instructions • Is the factory ready to build at full production volume? • Indicators: no open waivers (all resolved or closed); all tools & fixtures meeting GRR requirements; functionally critical dimensions and parameters meeting process capability requirements
  • 32. + Method: SW Development Checkpoints Traditional “waterfall” software delivery model Test & Defect Fixing Development Fixed release date o Testing begins after development is “complete” o Scramble to find and fix high priority defects o Quality usually sacrificed to meet schedule Phased “prototype” model based on hardware design Development Modular architecture, core functionality verified by design team before check-in Functionally complete checkpoint System Testing Final Test Code freeze checkpoint Defect fixing, additional noncritical enhancements added and verified Lower cost development, better quality Later replaced by agile/scrum with staged development & testing
  • 33. Method: Time to Achieve Quality Target Quality + Failure to meet quality target at start of production #1 #2 #3 Prototype builds Start of production Additional cost and loss of production capacity
  • 34. Results: Stable Design at Ramp 100 100 99.5 98 99 96 94 92 Target = 95% 90 88 Net EOL Yield (%) Net EOL Yield (%) + 98.5 98 97.5 Target = 98.5% 97 96.5 96 95.5 95 Insufficient attention to DFM and quality during development  Improvement after ramp required repeated problem solving to determine root causes and successfully eliminate them  Higher cost and delayed product introduction until issues resolved  Emphasis on design stability  No design changes permitted after last manufacturing readiness build  Steady reduction in design-related defects throughout the development phase  Zero open waivers at ramp  Daily tracking of yield and defects during prototype builds
  • 35. + Results: Software Program Tracking Metrics for tracking status:  Requirements verified by testing  Code turmoil (new or changed LOC)  Remaining open defects (weighted)  Defect find/fix rate 100% 80% 60% 40% 20% 0% Tests passed Tests failed Tests not run Tests blocked Clear understanding of work remaining to trade schedule vs. scope vs. quality Predictable outcomes that meet business objectives
  • 36. + Method: Metrics Alignment Performance measures Link business objectives to individual/team objectives and performance measures Considerations: Control over outcomes and improvement Behaviors that are encouraged Department & Team Objectives Business Objectives
  • 37. + Method: Improvement Cycle 10 8 6 4 2 Improvement Plan Owner Date 0 Pareto of Root Causes 1. 2. 3. 4. 12 10 8 6 4 2 0 A B C D E F Measure performance Identify negative trends Determine root causes Develop improvement plans to address leading causes 5. Hold owners accountable for improvement 6. Measure, verify, repeat
  • 38. + Method: SW Product KPIs Product Development Objectives Key Performance Indicator (KPI) Key processes and behaviors Value-added: new features that meet customer needs Incremental revenue dollar contribution as a result of the new features Better understanding of customer needs to target high-value features On-time delivery Actual checkpoints vs. plan Disciplined development processes, an architecture that supports design of incremental features, and high quality to ensure customer rapid qualification Deployment Penetration, percentage of the installed base using the new features Tight collaboration with sales and field support to drive new orders and installations Quality Escapes, defects reported by customers, especially those that prevent the customer from qualifying and deploying value-added features Dedication to zero defects and reduction of variability
  • 39. + Results: Cost Based Metrics Shifting to a cost measure focuses attention on the opportunity for savings The data is accurate, but doesn’t inspire action Production Yield 85% 80% 75% 70% 65% 60% 55% 50% Cost of Quality $6,000 $5,000 Jan Feb Mar Apr May Jun $4,000 $3,000 Defects per Unit Scrap cost Rework cost $2,000 1.00 0.80 $1,000 0.60 $0 Jan Feb Mar Apr May Jun 0.40 0.20 0.00 Jan Feb Mar Apr May Jun
  • 40. + Results: Factory Quality Team Function Primary Responsibilities Key Performance Indicators (KPIs) Quality program management Quality issue management, primary customer contact window, data reporting 1. 2. 3. On-time and accurate data reporting Rapid response and closure of quality issues Effectiveness of issue management New product quality Quality plan development and implementation for new products 1. 2. Time-to-quality after production ramp NPI Product Quality Scorecard Manufacturing test Software support, script development, implementation and maintenance 1. 2. False positive or negatives due to test script Rapid ramp to required level of engineering capability and independence Contribution to productivity and COQ 3. Document control BOM and change request management, other document control processes 1. Quality engineering Proactive opportunities for yield, quality and COQ improvement 1. Measurable yield, outbound quality, or COQ improvement Quality assurance Inspection, testing and data reporting for production lines 1. 2. Escapes found by subsequent audits Contribution to productivity Supplier quality management IQC inspection, management of corrective action with suppliers, proactive monitoring of part quality 1. 2. 3. COQ for IQC Percent of suppliers achieving favored status Escapes and line-downs due to part quality 2. 3. BOM accurate and up-to-date, all partners informed about changes and revisions No mistakes due to incorrect PN revisions Cycle time for change process, from initial request to approval and implementation What’s important is that each function has independent control over their KPIs
  • 41. + Results: R&D Department Aligned Every activity should contribute, or why do it? New feature Sales, revenue Improved performance Operating expense Improved cost or quality Productivity, throughput Improved infrastructure Gross margin / R&D expense
  • 42. + Results: SW Testing Effectiveness Offshore software testing service engaged as a partner With encouragement from the customer, the supplier invested in training to improve testing and increase the percentage of defect reports that resulted to a code change (defect fix) The improved quality of service contributed to the steady reduction in support call rates for each software release 80% 60% 40% Reported Defects Fixed 20% Call Rate 0% A B C D E F G H J SW release
  • 43. + Method: Quality Culture Transformation FROM  Passive reporting of quality issues  Waiting to react to customer escalations  Corrective action to fix the problem  Issue closed when plan is implemented  End-of-line quality measures based on testing and inspection  IQC, sorting, testing, audits, inspection  Quality metrics required by the customer  Test plans developed and provided by the customer  Quality is the responsibility of the Quality department TO  Leadership to closequality issues  Proactivequality improvements based on understanding  Understand and eliminateroot cause  Issue closed when improvements are measured  In-process measures as early indicators(SPC)  Drive quality upstream(design and parts)  Cost of quality (COQ)and other internal metrics  Quality plans developed with the customer in mind  Quality culture in the entire organization