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© 2010 Supply Chain Council. ALL RIGHTS RESERVED. | < filename > | Slide 0 | 21 April 2014
SCC Global Member Meeting and
Supply Chain World North America
Nashville, Tennessee, USA
April 14-15, 2014
Trends in High Tech Supply Chain
Partha Bose - IBM
© 2014 IBM Corporation1
THIS PRESENTATION COVERS 3 TOPICS
2Role of Analytics in
Supply Chain
3The Software-Defined
Supply Chain
1Today’s High Tech
Supply Chain
© 2014 IBM Corporation2
3 CHARACTERISTICS
OF HIGH TECH SUPPLY CHAINS
Economies of Scale BIG
Multi-Tier Supply
Chains COMPLEX
Low Cost Supply
Chains GLOBAL
© 2014 IBM Corporation3
© 2014 IBM Corporation4
See what
others don’t
Exploit global
efficiencies
Know the
customer as well
as yourself
Source: IBM Institute for Business Value
Volatility
Value
Visibility
NEW VISION AND NEW RULES ARE
NEEDED
© 2014 IBM Corporation5
#1: KNOW THE CUSTOMER AS WELL
AS YOURSELF
Predict demand and be in a position to react to demand variability
and market volatility with rapid response and allocation of all global
resources
Implementation of Smarter Supply Chain Capabilities
© 2014 IBM Corporation6
CONSUMER ELECTRONICS MAJOR
 S&OP as a globally integrated process
manages the Supply Chain globally on
a weekly basis
 Global visibility of inventory levels and
replenishment needs
Model of Global SCM
Customer 1
Customer 2
Customer 3
Region
Sales
Region
Sales
Region
Sales
Plant1
Plant2
Plant3
Unit of Planning
$XB
$YB
2003 2012
Over 3X
Achieved over 3X growth
for last 10 years
through pure organic growth
 In major divisions, Global Operation
Center & HQ supply chain management
teams have maintained the same size,
supporting a business that has grown 3
times
© 2014 IBM Corporation7
STRATEGIC INITIATIVES HAVE
ENABLED THE COMPANY’S GLOBAL
SCM ENVIRONMENT
Global Competition
Risk of
Supply Chain Disruption
Lower Margin
Key Challenges Strategic Initiatives
Globally Integrated
Supply Chain
Optimize global operation
Global Concurrent
Launching
Get high profit in early market
Advanced Customer
Collaboration
CPFR & Retail Channel Mgmt
Extended Supply Chain
Flexible supply with less risk
Increased
Market Uncertainty
© 2014 IBM Corporation8
STRATEGIC MIX OF BUY & MAKE OF
KEY COMPONENTS
Make
Buy
Buy Vs.
flexible
flexible
Strategy of Component
Supply
Strategy for key
components
In short term, there’s a
constraint to change
the Buy strategy
 Mix Buy & Make for key components
to mitigate the risk of supply chain
disruption
 In order to make key decisions for
new internal investment of component
plants, clear visibility on the
component demand-supply balance is
needed
© 2014 IBM Corporation9
IBM’S GIVIEW PLANNER FUNCTIONALITY
MET 4 KEY REQUIREMENTS
9
Plant A (Internal)
Purchase (External)
Warehouse
Purchase
Purchase
Purchase
Manufactur
e
Manufactur
e
Dummy
Transport
10%
90%
Transport
60%
40%
Transport
Demand
Demand
Demand
Warehouse
for Domestic/Export
Demand from
Final Assembly
Component Manufacturing
Or Purchasing
Proportional
Sourcing
Auto Build
ahead (1
week)
No carryover @
Plant:
Push out all
inventory to W/H
Consume
Capacity by
cycle time
1
2
3
4
© 2014 IBM Corporation10
Collaborate with insight and visibility to events, with suppliers, service
providers and customers in an open, action-oriented, environment.
Implementation of Smarter Supply Chain Capabilities
#2: SEE WHAT OTHERS DON’T
© 2014 IBM Corporation11 11
What if you could accurately predict
which characteristics tend to lead to
a higher frequency of failures?
What if, when an asset is
scheduled for maintenance,
you could predict what
parts are likely to fail in the
near future?
What if you could identify the characteristics
that tend to increase ownership cost and
downtime over the life of a system?
What if you could replace
those parts that have not yet
failed and avoid further
unscheduled downtime?
What if you could quickly mine the
thousands of logs that describe the
maintenance performed on a system and
determine what important observations are
being logged by the maintenance team?
© 2014 IBM Corporation12
Group cases that exhibit
similar characteristics.
Which parts tend to fail most
often? At what rate do they
fail?
Predict or Classify
behavior & characteristics.
What are the
characteristics of parts that
perform well versus parts
that fail often?
What events occur
together?
Given a series of part
failures, which parts are
likely to fail in the future?
Associate Classify
Cluster
DATA
MINING
Data Mining &
Predictive Modeling
unearths insights
PREDICTIVE ASSET OPTIMIZATION
© 2014 IBM Corporation13
2. Predictive Maintenance
(Service Optimization)
1. Manufacturing Quality
3. Warranty Analytics
4. Remote Diagnostics
(Connected Equipment)
5. Business Model
Transformation
Predictive maintenance for plant equipment
Equipment repair and maintenance optimization
Optimization of service parts and engineers’ schedules
Production quality management
(PLC/MES/Quality inspection data)
Warranty monitoring and analysis
Field quality early warning using warranty claim data
Warranty accruals management
Equipment data analysis and early warning
Remote monitoring and diagnosis
Maintenance optimization
Business model transformation with extended warranty,
performance assurance, and operational excellence.
Transformation to analytics-driven organization
APPLIES TO 5 BUSINESS DOMAINS IN
EQUIPMENT MONITORING.
© 2014 IBM Corporation14
• Virtuous Cycle: Inflection point to
rapid change: at 15 percent of the
market, a sudden takeoff in the
proportion of spending is shifting
to managed print services
• Huge Value Proposition:
Compelling 30+ percent cost
reductions for customers, higher
margins for winning vendors
• Service Extension: Branching
beyond copying into printers,
processes, and other IT
infrastructure services
• Winner Takes All: Transformation
driving consolidation toward larger
vendors
THE MARKET FOR PRINTING SERVICES
TRANSFORMED ITSELF IN 3 YEARS BETWEEN
2008 AND 2011
Source: Photizo Group, MPS Advisory Service, MarketWatch™
Huge Growth for Managed Print Services,
Represented by the Number of MPS Programs Announced
75%
50%
25%
0%
= Number of new MPS programs
= MPS program growth
1 1 1 1
10
31
11
2
1% 2% 3% 4%
14%
45%
56%
58%
2004 2005 2006 2007 2008 2009 2010 2011
© 2014 IBM Corporation15
PAO ARCHITECTURE
Industrial Enterprise Services Bus
(Message Broker)
End User Reports, Dashboards,
Drill Downs
High volume streaming data
(InfoSphere Streams)
Telematics, Manufacturing
Execution Systems,
Legacy Databases,
Distributed Control Systems
EAM System
(Tivoli Maximo Tririga or
other)
Analytic Datastore
(Pre-built data schema for storing quality, machine and prod data, configuration)
DB2
Statistical
Analytics
(SPSS Modeler)
Decision
Management
(SPSS DM)
Business
Analytics
(COGNOS BI)
© 2014 IBM Corporation16
UK Utility Company
In Production Line
• Pro-active detection rate
increased by 90-100%
• Sustained 41% reduction
in production incidents
and unscheduled
downtime
• Reduced liability damage
by 30% in 2 years
Japanese Manufacturer
In Field Services
• Saved $1 million in repair
costs in under 2 weeks
• 12-14 times return on
investment in just 4
months
German Auto Manufacturer
In Warranty Services
• Proactive identification of
systematic error patterns
and their dependencies
• Reduced warranty cases
from 1.1 to 0.85 per
vehicle
• 5% reduction in warranty
cases
• Annual savings of €30m
CASE EXAMPLES
© 2014 IBM Corporation17
Optimize pipeline inventory, the global network, and cost structures. Create cost-
efficient, sustainable practices while hedging risks.
Implementation of Smarter Supply Chain Capabilities
#3: EXPLOIT GLOBAL EFFICIENCIES
© 2014 IBM Corporation18
Globally Integrated
Enterprise
Multinational Era
Homegrown IT
 Multiple, separate supply
chains
 Few common processes
ERP
 Enterprise efficiencies
 Streamlined global
processes
 Information sharing
Analytics
 Enterprise and multi-
enterprise optimization
 Transparent SC
 Predictive, Cognitive
Smarter Supply
Chain
CASE EXAMPLE: IBM
© 2014 IBM Corporation19
R&D
Marketing
Finance
TOFROM
Supply Chain • 3 global procurement centers• 300 local procurement centers
• Outsourced non-core processes
reduced costs 25-35%
• Integrated decision-support
• Multiple local organizations
• Non-integrated decision support
• 13 global standardized marketing
programs leveraged locally
• Product- and geo-specific marketing
IT
• 1 global CIO
• 5 global data centers
• 4,790 applications
• 128 Local CIOs
• 155 local data centers
• 16,000 applications
• Fully integrated R&D
• Collaboration with 50 organizations to
build IP marketplace
• Multiple international R&D centers
• Local specialization with duplication
HR
• Global HR planning
• Standardization
• Local systems and management
• Local resource skill-set definition
GLOBAL INTEGRATION
© 2014 IBM Corporation20
IBM’S SUPPLY CHAIN TRANSFORMATION
Pain Points Transformation Approach
IBM’s supply chain was a fragmented cost center and not
critical to overall revenue.
Challenges included:
 Pockets of integration in functional silos but no enterprise-
wide common process
 Distributed and hard-wired to business units
‒ Non-electronic invoicing
 Lack of shared measurements and end-to-end visibility
 Non-consolidated transaction processing
 Integrated supply chain together with shared measurements
to support end-to-end operation
 Focused on client satisfaction along with operational results
 Leveraged global scale by connecting suppliers online with
IBM’s international workforce
‒ Consolidated transaction processing in global delivery
centers
 Introduced supply-chain business transformation outsourcing
capability
Integration Benefits
Business Operations Benefits Financial Benefits
 Averaging $3.0 - 6.5B in procurement savings
every year for the last six years
 Manages over $35B+ of spend for IBM across plus
over $20B spend on behalf of clients
 Quality early Warning System saves $40M per year
 Transformed from 36 plants and 300 Operations Centers to 9
plants and 5 Consolidated Global Operations Centers
 35,000 suppliers connected online in 45 countries; 98% of
invoices are electronic
 Improved sales force productivity: now spending
38% more time with clients
 100,000 Business Partners, 90+% of orders “touch-less”
 Clients in 100 countries have self-service access to contract,
order and inventory information
© 2014 IBM Corporation21
SOFTWARE DEFINED
SUPPLY CHAIN
© 2014 IBM Corporation22
3 NEW
TECHNOLOGIES
3D PRINTING OPEN SOURCEINTELLIGENT
ROBOTICS
© 2014 IBM Corporation23
HARDWARE CONSTRAINED
BUILD A
MOLD OR
CAST
HARDWIRE
PRODUCTIO
N LINE
DEVELOP
EMBEDDED
CHIP
SOFTWARE DEFINED
PRINT PARTS
DIRECTLY BY
SOFTWARE
RECONFIGURE
ASSEMBLY
THROUGH
SOFTWARE
DIGITAL
CONTROLS USING
SOFTWARE
© 2014 IBM Corporation24
4 DIFFERENT PRODUCTS COST
VOLUME
SIZE
COMPLEXITY
PERSONALIZATION
WASHING
MACHINE
INDUSTRIAL
DISPLAY
MOBILE
PHONE
HEARING
AID
© 2014 IBM Corporation25
3 AMAZING RESULTS
COST
SCALE
CO2 IMPACT
© 2014 IBM Corporation26
LOWER COST
23
%
CHEAPER
AGGREGATE NORMALIZED UNIT COST
© 2014 IBM Corporation27
LOWER SCALE
90
%
LESS
VOLUME
REQUIRED
AGGREGATE NORMALIZED
MINIMUM ECONOMIC SCALE
© 2014 IBM Corporation28
NOT NECESSARILY GREENER
100
89
33
100 99
92
100 100 101100
120
109
0
20
40
60
80
100
120
140
2012 Traditional 2017 Digital 2022 Digital
AGGREGATE NORMALIZED
CO2 ANALYSIS
9%
HIGHER
67
%
LOWER
© 2014 IBM Corporation29
BIG
COMPLEX
GLOBAL
SMALL
SIMPLE
LOCAL
© 2014 IBM Corporation30
RECOMMENDATIONS
FOR INDUSTRY
© 2014 IBM Corporation31
ibm.com/electronics

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Analytics in High Tech Electronics Supply Chain

  • 1. © 2010 Supply Chain Council. ALL RIGHTS RESERVED. | < filename > | Slide 0 | 21 April 2014 SCC Global Member Meeting and Supply Chain World North America Nashville, Tennessee, USA April 14-15, 2014 Trends in High Tech Supply Chain Partha Bose - IBM
  • 2. © 2014 IBM Corporation1 THIS PRESENTATION COVERS 3 TOPICS 2Role of Analytics in Supply Chain 3The Software-Defined Supply Chain 1Today’s High Tech Supply Chain
  • 3. © 2014 IBM Corporation2 3 CHARACTERISTICS OF HIGH TECH SUPPLY CHAINS Economies of Scale BIG Multi-Tier Supply Chains COMPLEX Low Cost Supply Chains GLOBAL
  • 4. © 2014 IBM Corporation3
  • 5. © 2014 IBM Corporation4 See what others don’t Exploit global efficiencies Know the customer as well as yourself Source: IBM Institute for Business Value Volatility Value Visibility NEW VISION AND NEW RULES ARE NEEDED
  • 6. © 2014 IBM Corporation5 #1: KNOW THE CUSTOMER AS WELL AS YOURSELF Predict demand and be in a position to react to demand variability and market volatility with rapid response and allocation of all global resources Implementation of Smarter Supply Chain Capabilities
  • 7. © 2014 IBM Corporation6 CONSUMER ELECTRONICS MAJOR  S&OP as a globally integrated process manages the Supply Chain globally on a weekly basis  Global visibility of inventory levels and replenishment needs Model of Global SCM Customer 1 Customer 2 Customer 3 Region Sales Region Sales Region Sales Plant1 Plant2 Plant3 Unit of Planning $XB $YB 2003 2012 Over 3X Achieved over 3X growth for last 10 years through pure organic growth  In major divisions, Global Operation Center & HQ supply chain management teams have maintained the same size, supporting a business that has grown 3 times
  • 8. © 2014 IBM Corporation7 STRATEGIC INITIATIVES HAVE ENABLED THE COMPANY’S GLOBAL SCM ENVIRONMENT Global Competition Risk of Supply Chain Disruption Lower Margin Key Challenges Strategic Initiatives Globally Integrated Supply Chain Optimize global operation Global Concurrent Launching Get high profit in early market Advanced Customer Collaboration CPFR & Retail Channel Mgmt Extended Supply Chain Flexible supply with less risk Increased Market Uncertainty
  • 9. © 2014 IBM Corporation8 STRATEGIC MIX OF BUY & MAKE OF KEY COMPONENTS Make Buy Buy Vs. flexible flexible Strategy of Component Supply Strategy for key components In short term, there’s a constraint to change the Buy strategy  Mix Buy & Make for key components to mitigate the risk of supply chain disruption  In order to make key decisions for new internal investment of component plants, clear visibility on the component demand-supply balance is needed
  • 10. © 2014 IBM Corporation9 IBM’S GIVIEW PLANNER FUNCTIONALITY MET 4 KEY REQUIREMENTS 9 Plant A (Internal) Purchase (External) Warehouse Purchase Purchase Purchase Manufactur e Manufactur e Dummy Transport 10% 90% Transport 60% 40% Transport Demand Demand Demand Warehouse for Domestic/Export Demand from Final Assembly Component Manufacturing Or Purchasing Proportional Sourcing Auto Build ahead (1 week) No carryover @ Plant: Push out all inventory to W/H Consume Capacity by cycle time 1 2 3 4
  • 11. © 2014 IBM Corporation10 Collaborate with insight and visibility to events, with suppliers, service providers and customers in an open, action-oriented, environment. Implementation of Smarter Supply Chain Capabilities #2: SEE WHAT OTHERS DON’T
  • 12. © 2014 IBM Corporation11 11 What if you could accurately predict which characteristics tend to lead to a higher frequency of failures? What if, when an asset is scheduled for maintenance, you could predict what parts are likely to fail in the near future? What if you could identify the characteristics that tend to increase ownership cost and downtime over the life of a system? What if you could replace those parts that have not yet failed and avoid further unscheduled downtime? What if you could quickly mine the thousands of logs that describe the maintenance performed on a system and determine what important observations are being logged by the maintenance team?
  • 13. © 2014 IBM Corporation12 Group cases that exhibit similar characteristics. Which parts tend to fail most often? At what rate do they fail? Predict or Classify behavior & characteristics. What are the characteristics of parts that perform well versus parts that fail often? What events occur together? Given a series of part failures, which parts are likely to fail in the future? Associate Classify Cluster DATA MINING Data Mining & Predictive Modeling unearths insights PREDICTIVE ASSET OPTIMIZATION
  • 14. © 2014 IBM Corporation13 2. Predictive Maintenance (Service Optimization) 1. Manufacturing Quality 3. Warranty Analytics 4. Remote Diagnostics (Connected Equipment) 5. Business Model Transformation Predictive maintenance for plant equipment Equipment repair and maintenance optimization Optimization of service parts and engineers’ schedules Production quality management (PLC/MES/Quality inspection data) Warranty monitoring and analysis Field quality early warning using warranty claim data Warranty accruals management Equipment data analysis and early warning Remote monitoring and diagnosis Maintenance optimization Business model transformation with extended warranty, performance assurance, and operational excellence. Transformation to analytics-driven organization APPLIES TO 5 BUSINESS DOMAINS IN EQUIPMENT MONITORING.
  • 15. © 2014 IBM Corporation14 • Virtuous Cycle: Inflection point to rapid change: at 15 percent of the market, a sudden takeoff in the proportion of spending is shifting to managed print services • Huge Value Proposition: Compelling 30+ percent cost reductions for customers, higher margins for winning vendors • Service Extension: Branching beyond copying into printers, processes, and other IT infrastructure services • Winner Takes All: Transformation driving consolidation toward larger vendors THE MARKET FOR PRINTING SERVICES TRANSFORMED ITSELF IN 3 YEARS BETWEEN 2008 AND 2011 Source: Photizo Group, MPS Advisory Service, MarketWatch™ Huge Growth for Managed Print Services, Represented by the Number of MPS Programs Announced 75% 50% 25% 0% = Number of new MPS programs = MPS program growth 1 1 1 1 10 31 11 2 1% 2% 3% 4% 14% 45% 56% 58% 2004 2005 2006 2007 2008 2009 2010 2011
  • 16. © 2014 IBM Corporation15 PAO ARCHITECTURE Industrial Enterprise Services Bus (Message Broker) End User Reports, Dashboards, Drill Downs High volume streaming data (InfoSphere Streams) Telematics, Manufacturing Execution Systems, Legacy Databases, Distributed Control Systems EAM System (Tivoli Maximo Tririga or other) Analytic Datastore (Pre-built data schema for storing quality, machine and prod data, configuration) DB2 Statistical Analytics (SPSS Modeler) Decision Management (SPSS DM) Business Analytics (COGNOS BI)
  • 17. © 2014 IBM Corporation16 UK Utility Company In Production Line • Pro-active detection rate increased by 90-100% • Sustained 41% reduction in production incidents and unscheduled downtime • Reduced liability damage by 30% in 2 years Japanese Manufacturer In Field Services • Saved $1 million in repair costs in under 2 weeks • 12-14 times return on investment in just 4 months German Auto Manufacturer In Warranty Services • Proactive identification of systematic error patterns and their dependencies • Reduced warranty cases from 1.1 to 0.85 per vehicle • 5% reduction in warranty cases • Annual savings of €30m CASE EXAMPLES
  • 18. © 2014 IBM Corporation17 Optimize pipeline inventory, the global network, and cost structures. Create cost- efficient, sustainable practices while hedging risks. Implementation of Smarter Supply Chain Capabilities #3: EXPLOIT GLOBAL EFFICIENCIES
  • 19. © 2014 IBM Corporation18 Globally Integrated Enterprise Multinational Era Homegrown IT  Multiple, separate supply chains  Few common processes ERP  Enterprise efficiencies  Streamlined global processes  Information sharing Analytics  Enterprise and multi- enterprise optimization  Transparent SC  Predictive, Cognitive Smarter Supply Chain CASE EXAMPLE: IBM
  • 20. © 2014 IBM Corporation19 R&D Marketing Finance TOFROM Supply Chain • 3 global procurement centers• 300 local procurement centers • Outsourced non-core processes reduced costs 25-35% • Integrated decision-support • Multiple local organizations • Non-integrated decision support • 13 global standardized marketing programs leveraged locally • Product- and geo-specific marketing IT • 1 global CIO • 5 global data centers • 4,790 applications • 128 Local CIOs • 155 local data centers • 16,000 applications • Fully integrated R&D • Collaboration with 50 organizations to build IP marketplace • Multiple international R&D centers • Local specialization with duplication HR • Global HR planning • Standardization • Local systems and management • Local resource skill-set definition GLOBAL INTEGRATION
  • 21. © 2014 IBM Corporation20 IBM’S SUPPLY CHAIN TRANSFORMATION Pain Points Transformation Approach IBM’s supply chain was a fragmented cost center and not critical to overall revenue. Challenges included:  Pockets of integration in functional silos but no enterprise- wide common process  Distributed and hard-wired to business units ‒ Non-electronic invoicing  Lack of shared measurements and end-to-end visibility  Non-consolidated transaction processing  Integrated supply chain together with shared measurements to support end-to-end operation  Focused on client satisfaction along with operational results  Leveraged global scale by connecting suppliers online with IBM’s international workforce ‒ Consolidated transaction processing in global delivery centers  Introduced supply-chain business transformation outsourcing capability Integration Benefits Business Operations Benefits Financial Benefits  Averaging $3.0 - 6.5B in procurement savings every year for the last six years  Manages over $35B+ of spend for IBM across plus over $20B spend on behalf of clients  Quality early Warning System saves $40M per year  Transformed from 36 plants and 300 Operations Centers to 9 plants and 5 Consolidated Global Operations Centers  35,000 suppliers connected online in 45 countries; 98% of invoices are electronic  Improved sales force productivity: now spending 38% more time with clients  100,000 Business Partners, 90+% of orders “touch-less”  Clients in 100 countries have self-service access to contract, order and inventory information
  • 22. © 2014 IBM Corporation21 SOFTWARE DEFINED SUPPLY CHAIN
  • 23. © 2014 IBM Corporation22 3 NEW TECHNOLOGIES 3D PRINTING OPEN SOURCEINTELLIGENT ROBOTICS
  • 24. © 2014 IBM Corporation23 HARDWARE CONSTRAINED BUILD A MOLD OR CAST HARDWIRE PRODUCTIO N LINE DEVELOP EMBEDDED CHIP SOFTWARE DEFINED PRINT PARTS DIRECTLY BY SOFTWARE RECONFIGURE ASSEMBLY THROUGH SOFTWARE DIGITAL CONTROLS USING SOFTWARE
  • 25. © 2014 IBM Corporation24 4 DIFFERENT PRODUCTS COST VOLUME SIZE COMPLEXITY PERSONALIZATION WASHING MACHINE INDUSTRIAL DISPLAY MOBILE PHONE HEARING AID
  • 26. © 2014 IBM Corporation25 3 AMAZING RESULTS COST SCALE CO2 IMPACT
  • 27. © 2014 IBM Corporation26 LOWER COST 23 % CHEAPER AGGREGATE NORMALIZED UNIT COST
  • 28. © 2014 IBM Corporation27 LOWER SCALE 90 % LESS VOLUME REQUIRED AGGREGATE NORMALIZED MINIMUM ECONOMIC SCALE
  • 29. © 2014 IBM Corporation28 NOT NECESSARILY GREENER 100 89 33 100 99 92 100 100 101100 120 109 0 20 40 60 80 100 120 140 2012 Traditional 2017 Digital 2022 Digital AGGREGATE NORMALIZED CO2 ANALYSIS 9% HIGHER 67 % LOWER
  • 30. © 2014 IBM Corporation29 BIG COMPLEX GLOBAL SMALL SIMPLE LOCAL
  • 31. © 2014 IBM Corporation30 RECOMMENDATIONS FOR INDUSTRY
  • 32. © 2014 IBM Corporation31 ibm.com/electronics