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QDS – QualityDrivenSimulations
Michael Reiter & Tobias Unger
qualityBPM.com
Adapt
Data
Analyze
Results
Run
Simulation
Simulation: Initial Situation
time
Preprocessing
Phase
Solving
Phase
Postprocessing
Phase
Input
Data
Output
Data
Complex Simulations (Automotive Domain)
Driving dynamics
Crash tests
Adapt
Data
Analyze
Results
Run
Simulation
Simulation: Initial Situation
time
Preprocessing
Phase
Solving
Phase
Postprocessing
Phase
BAD
Data
Quality
Input
Data
Output
Data
Complex Simulations (Automotive Domain)
Driving dynamics
Crash tests
Adapt
Data
Analyze
Results
Run
Simulation
Simulation: Initial Situation
time
Preprocessing
Phase
Solving
Phase
Postprocessing
Phase
BAD
Data
Quality
Input
Data
Output
Data
Complex Simulations (Automotive Domain)
Driving dynamics
Crash tests
Analyze
Resultsn
Simulation: Initial Situation
time
BAD
Data
Quality
Bad Quality of Data means
Useless results
Bad decisions based on these results
Analyze
Resultsn
Adapt
Data
Analyze
Results
Run
Simulation
Simulation: Initial Situation
time
BAD
Data
Quality
Adapt
Input
Data
Bad Quality of Data means
Useless results
Bad decisions based on these results
Analyze
Resultsn
Adapt
Data
Analyze
Results
Run
Simulation
again
again
…
Good
Result
Simulation: Initial Situation
time
BAD
Data
Quality
BAD
Data
Quality
QDS: Our Solution
time
Transform the Try and Error Approach to an
Intelligent Solution
QDS: Our Solution
Data Quality
Adaption of Data
Good
Result
Data Quality
Driven Simulation
time
Execute Simulation only Once
Transform the Try and Error Approach to an
Intelligent Solution
QDS: Our Solution
Data Quality
Adaption of Data
Good
Result
Data Quality
Driven Simulation
time
Execute Simulation only Once
Analyze Data at Runtime to get Data Quality Indicators
Execute Adaption of Data, Parameter and Algorithms
based on Data Quality Indicators during Runtime
Transform the Try and Error Approach to an
Intelligent Solution
DQ Assurance
Accuracy 0.9
Completeness 1.0
Consistency 0.75
DQ Assurance
Accuracy 0.8
Completeness 1.0
Consistency 1.0
QDS: Success Story
Multi-scale Simulation at SimTech
Behavior of a Human Organ
Interaction between FEM-Software and MatLab
Big and Heterogeneous Data
QDS reduces Simulation Period* by 70 %
Without QDS: 6 Month
With QDS: 8 Weeks
* Simulation Period = Begin: Project Start; End: Simulation Data available in required Quality
qualityBPM.com
QDS: Simulations & BPM
Simulation Decisions have Business Impact on
Products, Money, and Time to Marked
Simulation = Process
Simulation = Business Process Management (BPM)
BPM Goal: more efficient Processes
QDS uses BPM Methods and BPM Tools
QDS enables a Real-time, Transparent Control of the
Simulation based on Data Quality Indicators
qualityBPM.com
QDS: Innovation
Data Quality Driven Simulation Workflows
Based on BPM: Transform the Technical view-point
of simulations to a Business view-point
Data Quality
Adaption of Data
Good
Result
Data Quality
Driven Simulation
Geometry
Data (DQ)
Material
Parameter
(DQ)
FEM
Parameter
(DQ)
Boundary
Conditions
(DQ)
Initial
Conditions
(DQ)
Solver
Parameter
(DQ)
DQ Assurance
Accuracy 0.9
Completeness 1.0
Consistency 0.75
DQ Requirement
Accuracy 0.8
Completeness 1.0
Consistency 0.5
DQ Assurance
Accuracy 0.8
Completeness 1.0
Consistency 1.0
QDS: Core Competences
Integration
Data Analyzing
Process Controlling based on BPM
Simulation
Data Quality
Big Data
Industry 4.0
Cloud
qualityBPM.com
QDS: Solution Building Blocks
Data Quality Core Framework (Open-source Software)
for Data Quality Controlled Simulations at Real-time:
developed by Michael Reiter, Tobias Unger, and other
Consulting & Services:
invented by Michael Reiter and Tobias Unger
Domain-specific Plug-ins (Commercial Software)
for Automotive, Health-Care, Agriculture, Finance, … :
developed by Michael Reiter and Tobias Unger
qualityBPM.com
QDS: Marked & Competitors
Simulation Services and Solutions
Emerging Market, Billion Dollar Marked
Competitors (Simulation Services and Solutions)
Mathworks (MatLab, Simulink; Revenue 750 Million $)
Wolfram Research (Mathematica)
Additive (local player)
No competitor combines simulation technology,
Data Quality Analytics, and BPM
to enables a real-time, transparent control of
simulations based on data quality
qualityBPM.com
QDS: Target Customer
Automotive Industry
Efficient Execution of Simulations
Efficient Management of Simulation Data
Efficient Execution of Engineering and
Manufacturing Processes
Benefits
More Efficient Simulations
Save Time and Money
Trustful Simulation Results
qualityBPM.com
QDS: qualityBPM Vision
Data Quality Core Framework (Open-source Software)
for Data Quality Controlled Workflows at Real-time:
developed by Michael Reiter, Tobias Unger, and other
Consulting & Services for
Big Data and Industry 4.0:
invented by Michael Reiter and Tobias Unger
Plug-ins (Commercial Software) for
Big Data and Industry 4.0:
developed by Michael Reiter and Tobias Unger
qualityBPM.com
Bitkom: Growth Rate per Year: 50 %
QDS: Who We Are
Michael Reiter
Researcher at SimTech (2008-2013)
Cluster of Excellence Simulation Technology
(University of Stuttgart)
Focus on Data Quality driven Simulation Workflows
BPM, Data Quality (Big Data), and Simulation Technology
19 Years Experience in IT
Industry: Automotive, Finance, Health Care, Media, …
Tobias Unger
BPM, Big Data, Industry 4.0, and Cloud
Architecture of Cloud BPM/Workflow Platforms
Architecture of Cloud Analytics (Big Data, Industry 4.0) Platforms
9 Years Experience in IT
Industry: Automotive, Agriculture, Finance, …
qualityBPM.com
What We Want & ROI
Contacts to Customers in the Automotive Industry
Project Acquisition
Marketing and Sales Expertise
Sustainable Access to our Customers
Capital (500.000 EUR)
Marketing and Sales
Create new Data Quality Innovations
qualityBPM platform for Big Data and Industry 4.0
ROI
1 EUR in brings 4.25 EUR out
qualityBPM.com
Thank You!
QualityDrivenSimulations:
Fasten Simulations
Improve Decisions
qualityBPM.com
Our Vision:
qualityBPM platform for
Big Data and Industry 4.0

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