Mais conteúdo relacionado Semelhante a Lean Production Meets Big Data: A Next Generation Use Case (20) Lean Production Meets Big Data: A Next Generation Use Case2. View Full Recording
You can view the full recording of this webinar at:
http://info.datameer.com/Online-Slideshare-LeanProduction-Meets-Big-Data.html
© 2013 Datameer, Inc. All rights reserved.
3. About our Speaker
Conny von Ludwig
Conny von Ludwig is Manager of Continuous Improvement
Process at a large car manufacturer in Germany.
He has been in charge of planning and implementing
internal projects focused around lean processes at various
production plants in Germany.
Prior to this, he was a Lean and Training specialist at
Porsche Consulting and Lufthansa Technik.
He has more than 15 years of practical lean production and
lean thinking know-how in several industries around the
world.
© 2013 Datameer, Inc. All rights reserved.
4. About our Speaker
Conny von Ludwig
Conny von Ludwig is Manager of Continuous Improvement
Process at a large car manufacturer in Germany.
He has been in charge of planning and implementing
internal projects focused around lean processes at various
production plants in Germany.
Prior to this, he was a Lean and Training specialist at
Porsche Consulting and Lufthansa Technik.
He has more than 15 years of practical lean production and
lean thinking know-how in several industries around the
world.
© 2013 Datameer, Inc. All rights reserved.
5. About our Speaker
Stefan Groschupf
Stefan Groschupf is the co-founder and CEO of Datameer.
He is one of the original contributors to Nutch, the open
source predecessor of Hadoop, Stefan has been at the
forefront of the Hadoop and Big Data market.
Prior to Datameer, Stefan was the co-founder and CEO of
Scale Unlimited, which implemented custom Hadoop
analytic solutions for HP, Sun, Deutsche Telekom, Nokia and
others. Earlier,
Stefan was CEO of 101Tec, a supplier of Hadoop and
Nutch-based search and text classification software to
industry-leading companies such as Apple, DHL and EMI
Music. Stefan has also served as CTO at multiple
companies, including Sproose, a social search engine
company.
© 2013 Datameer, Inc. All rights reserved.
6. Lean and Flexible Enterprises
Corporate
strategy
Effectiveness
Division / product strategy
Suppliers
Customers
Doing the
right things
Functional area strategy
Development
strategy
Purchasing
strategy
Production
strategy
Sales
strategy
Organization
Efficiency
Processes
Management process
Development
Purchasing
Production
Supporting processes
Products
© 2013 Datameer, Inc. All rights reserved.
Sales
Doing things
right
8. The “Lean Production”
Philosophy
“Perfection has been reached, when nothing can be taken away, not when nothing
can be added.” - Antoine de Saint Exupéry
Customer satisfaction
Quality
Cost
5% of activities create value
Types of waste
Overproduction
Transportation
Wait times
Rework/defects
Transit time
Inventory
Over processing
Delivery Service
© 2013 Datameer, Inc. All rights reserved.
9. How Waste Can be Identified
Process
Product
Redundancy
Inventory
Bottlenecks
Numerous interfaces
Work flow disruption
Inconsistent documents
Duplicate handling
Exceed performance
requirements
Unnecessary range
of functions
Volume of unused
variants
© 2013 Datameer, Inc. All rights reserved.
Organization
Complex structures
Unclear responsibility
Wasted employee
capabilities
Wrong employee
attitude
10. Principles More Important
than Methods
Synchronization
Value Orientation
Objectively measurable
Value from customer’s perspective
Waste is avoided
Think in processes, not departments
Processes are linked
Supply and demand are aligned
Core Elements of
Lean Enterprise
Measurable objectives and results
Top-down target setting
Bottom-up problem solving
Transparency
© 2013 Datameer, Inc. All rights reserved.
Standards facilitate improvement
Pursuit of perfection
Always question achievements
Perfection
11. Vision of Just-in-Time, 5R
Information
Material
Part
Part
Time
Right
Quality
+
Time
Right
Quality
Place
Place
Quantity
Quantity
© 2013 Datameer, Inc. All rights reserved.
13. Value Stream Material &
Information Flow
PPS
Order
Information
flow
Shipping order
Customer
Supplier
Process
Material
flow
Focus of improvements today
Info
Process
Process
Info
Shipping
Info
Process
Info
Information replace waste (e.g. inventory)
© 2013 Datameer, Inc. All rights reserved.
Process information data:
Logistic
Quality
Maintenance
Personnel
Production planning
Process
performance
Lean indicator:
Throughput time
14. Value stream with Material- and Information
flow
Information
flow
Material
flow
Focus of improvements today
Info
Information replace waste (e.g. inventory)
© 2013 Datameer, Inc. All rights reserved.
Info
Info
Process information data:
Logistic
Quality
Maintenance
Personnel
Production planning
Info
Process
performance
Lean indicator:
Throughput time
15. Improvement Process:
8 Success Factors
Willingness
to change
CIP organization
Methods/tools
Training
Process Vision
Workshop/
Project Plan
Key Performances
Indicator
Communications
© 2013 Datameer, Inc. All rights reserved.
16. Factors of a Lean Shop
Foreman
Quality assurance
Work / shift
Relieved of all duties
throughout the workshop
CIP Trainer
Engineering/Planning
Logistics
Union rep
CIP Trainer
Workshop organization
Training of participants
Procurement of methods
Coordination of stabilization
© 2013 Datameer, Inc. All rights reserved.
Participants
Idea generation
Improve concept development
Measure implementation
Knowledge contribution
Presentation
17. Improving Processes with Big Data
Good Results
Competitive organizations provide
lower product costs, increased quality & profits
✔︀︁︂︃︄︅︆︇︈︉︊︋︌︍︎️
Good Processes
These results must be directly & indirectly optimized
(sustained) for improvement
Ac
Good Employees
Employee competency will implement these plans successfully
© 2013 Datameer, Inc. All rights reserved.
t
Pla
Ch
eck
Do
n
18. Improvement Processes
Define
Define the opportunity
Understand process and performance
Measure
Analyze
Improve
Control
Search for biggest impact factors on process
performance and determine root cause
Develop improvement solution for the critical X’s
Implement the solution and control plan
© 2013 Datameer, Inc. All rights reserved.
19. Summary
Big Data provides new approach for process optimization
Provide easy to use tool to analyze & improve processes
Focus not only on visible wastes but also systems
Think through processes with cross-functional analysis
Measure results for measurable decisions (important in
implementation)
Sustainability
Datameer is so easy to use that even employees can analyze
processes and improve them.
© 2013 Datameer, Inc. All rights reserved.
21. Lean Production
•
Manufacturing plant
•
Predictive maintenance
•
Minimize downtime
•
Which robots are failing the most ?
•
What part of the day do failures most occur ?
•
What is the average length of time between
failures ?
© 2013 Datameer, Inc. All rights reserved.
22. Use Case
•
Correlate sensor data from multiple sources
• Maintenance ticketing databases
• Machinery log files
© 2013 Datameer, Inc. All rights reserved.
23. Total Operating Time
No scheduled for
production
A
Available time
B
Measure
C
Theoretical production
D
Real production
E
Real production
F
Good products
Failure Idle Time
Minor Stops
Speed Loss
Scrap
Rework
OEE = B/A x D/C x F/E
Availability Efficiency
© 2013 Datameer, Inc. All rights reserved.
Quality