A view of Industry 4.0 from the...
Transcript of A view of Industry 4.0 from the...
Introduction
Justin Ahmad
• Senior principal with the Boston Consulting Group based in Boston
• Focuses on supporting clients in the industrial goods/automotive sectors on operations topics
• Specific topic expertise on Industry 4.0 and digital transformation in operations
• 17 years of experience, mix of industry and consulting
• Prior to consulting, engineer at Toyota Motor Manufacturing
Observations from industry… A mix of reactions to Industry 4.0
In such a competitive industry, a reduction
in cost would be abig advantage
Lots of talk and excitement about
industry 4.0
We're already doingmany pilots
Not sure what industry 4.0
means for me
Our pilots are interesting but value
is unclear
We have many disconnected
initiatives within our organization already
We're alreadyvery lean
My work force is aging and complexity is increasing… I need
something new
Objectives for this session
• Share approach on how to select the rightI4.0 applications
• Discuss key success factors on turning anI4.0 vision into reality
• Share observations on enabling the org. for Industry 4.0
Approach: Start by identifying pain-points to address…Illustrative
Culture
Quality
Productivity Material flow & planning
A
B
C EData &
Systems
F
Maintenance & Reliability
D
Culture - reactive,
siloed, decision rights
poorly defined
Lack of root cause in
daily routines
Low adherence
standard work
Spans of control too
high
Frequent part
shortages
Weak planning &
scheduling systems
Low inventory
visibility
Inefficient material
flow
Lack of quality built into
process
Reactive processe
Inconsistent labor
utilization
Low adherence
standard work
Non-linear process
flow
Production and
maintenance siloed. High recurrence of
downtime issues
Slow decision making
Financial impact of
operational issues unclear
'Amazon' scenarioOperator assistw/AVGs
Standard work with NVA reduction
Direct to trailer
Layout scenarios/solutions to address pain-points … creativity comes from breaking constraints
"Logic will get you from A to B.
Imagination will take you everywhere''
Plant warehouse example
Future state scenarios
Low HighLean process
Low
High
Automation
Opportunity to combine new technologies in creative ways … and ignite process innovation
Note: Play video
Also need to understand limits of enabling technologies
Technological maturity (not comprehensive)
mediumhigh low
AR Glasses
lowmediumhighPredictive analytics
mediumhigh lowAdvanced robotics
lowmediumhighAdvanced AGVs
Vision for the factory of the future built bottoms-up
Sensors/vision system
AI optimization
1
2
Combine technologies to address pain-points
1
2
Individual point solutions … … Build factory of the future vision
Illustrative
Key success factors for creating factory vision
Factors for success Factors for disappointment
• Think big … excite the organization
• Focus on solving problems not technologies
• Factory vision built bottoms-up toaddress realpain-points in the business
• Opportunity to engage/enable the workforce
• Enabler for learning/platform tobuild capabilities
• Clear linkage back to P&L and value
• Incremental … lost in the initiative mix
• Push technology to solve problems
• Factory vision a top-down set of'silver bullet' solutions
• Method to eliminate workforce/management issues
• A final solution
• Disconnected pilots/unclear value
Implementation learnings: Prioritize like an investor …
• Near-term value • Self-funding program • Acceptable risk
Develop like a software company (Agile) …Illustrative
Current state Future stateMVP – Minimal Viable Product
MVP Approach
Immersive training station Augmented realityin production
Standard work and on-the-job training
Interactive training tablet
Add features to successful MVPs
Enable 'digital' within the organization …Fast to set up and unrestricted in innovation High level of integration and centralized strategic direction
• Digital separated from core businesses as stand-alone
• Protected ground for "disruptive" activities
• Digital centralized in DA• Central strategy
definition • DA driven execution,
collaboration with BUs
• Digital anchored at multiple points in the organization
• Central steering, specific efforts by BU as needed
• Digital embedded into BUs• Development of BU-
specific strategies• Independent execution
BU BU BU DA BU BU BU DA BU BUDA DA
BUDA
BUDA
BUDA
BUDA
DA
Stand-alone model Centralized model Decentralized model Matrixed model
DA = digital accelerator
+ Fosters innovation & change▬ Costly model w/resource
duplication▬ Operate in a silo
+ Drives scale and standardization /consistency
▬ Less responsive /detached from BUs
+ Balances scale with BU embedded integration
▬ Governance is difficult (shared accountabilities)
+ Maximizes integration, adoption & relevance of digital in BUs
▬ Challenging to drive consistency & best practices
Leanings from Auto on Industry 4.0 organization
A
B
C
• Cross-functional teams (e.g., IT architect, software development/data scientists,
process and controls engineers)
• Agile development to learn and improve applications through testing in
a real environment
• Build/embed technical capabilities in plants to utilize and maintain
new technologies