qualitybpm@heidelberg innovation forum 2014

21
QDS – QualityDrivenSimulations Michael Reiter & Tobias Unger qualityBPM.com

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Page 1: QualityBPM@Heidelberg Innovation Forum 2014

QDS – QualityDrivenSimulations

Michael Reiter & Tobias Unger

qualityBPM.com

Page 2: QualityBPM@Heidelberg Innovation Forum 2014

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

Page 3: QualityBPM@Heidelberg Innovation Forum 2014

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

Page 4: QualityBPM@Heidelberg Innovation Forum 2014

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

Page 5: QualityBPM@Heidelberg Innovation Forum 2014

Adapt Data

Analyze Results

Run Simulation

Simulation: Initial Situation

time

BAD

Data Quality

Bad Quality of Data means Useless results Bad decisions based on these results

Page 6: QualityBPM@Heidelberg Innovation Forum 2014

Adapt Data

Analyze Results

Run Simulation

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

Page 7: QualityBPM@Heidelberg Innovation Forum 2014

Adapt Data

Analyze Results

Run Simulation

Adapt Data

Analyze Results

Run Simulation

Adapt Data

Analyze Results

Run Simulation

again

again …

Good Result

Simulation: Initial Situation

time

BAD

Data Quality

BAD

Data Quality

Page 8: QualityBPM@Heidelberg Innovation Forum 2014

QDS: Our Solution

time

Transform the Try and Error Approach to an Intelligent Solution

Page 9: QualityBPM@Heidelberg Innovation Forum 2014

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

Page 10: QualityBPM@Heidelberg Innovation Forum 2014

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

Page 11: QualityBPM@Heidelberg Innovation Forum 2014

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

Page 12: QualityBPM@Heidelberg Innovation Forum 2014

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

Page 13: QualityBPM@Heidelberg Innovation Forum 2014

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

Page 14: QualityBPM@Heidelberg Innovation Forum 2014

QDS: Core Competences

Integration

Data Analyzing

Process Controlling based on BPM

Simulation

Data Quality

Big Data

Industry 4.0

Cloud

qualityBPM.com

Page 15: QualityBPM@Heidelberg Innovation Forum 2014

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

Page 16: QualityBPM@Heidelberg Innovation Forum 2014

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

Page 17: QualityBPM@Heidelberg Innovation Forum 2014

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

Page 18: QualityBPM@Heidelberg Innovation Forum 2014

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 %

Page 19: QualityBPM@Heidelberg Innovation Forum 2014

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

Page 20: QualityBPM@Heidelberg Innovation Forum 2014

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

Page 21: QualityBPM@Heidelberg Innovation Forum 2014

Thank You!

QualityDrivenSimulations:

Fasten Simulations

Improve Decisions

qualityBPM.com

Our Vision:

qualityBPM platform for

Big Data and Industry 4.0