Choose the Right Direction is an independent Dutch company located in Delft that specializes in delivering decision support solutions based on operations research technology, including their flagship product Scenario Navigator simulation software, to help customers across various industries like manufacturing, logistics, and healthcare improve decision making. They have offices worldwide and work with customers like food and beverage producers, ports, hospitals, and more to model and analyze complex systems through simulation.
Future Technology Center is a Project owned and operated by Lootah Information Technology Solutions. During my work with them as Executive Consultant I’ve managed to develop the concept of The Visualization Technology Center which is the heart of Lootah FTC Project. The project delivers a superior Visualization Technology to be used in many industrial fields.
Facts and Figures 2015 - TECOSIM at a glance TECOSIM Group
TECOSIM is a technology corporation specialising in computer-aided engineering (CAE). The group has six branches in Germany and subsidiary companies in Austria, India, Japan and the UK. With a team of about 400 employees worldwide, TECOSIM provides services to international clients in the transport, energy, health and industry & technology sectors.
Future Technology Center is a Project owned and operated by Lootah Information Technology Solutions. During my work with them as Executive Consultant I’ve managed to develop the concept of The Visualization Technology Center which is the heart of Lootah FTC Project. The project delivers a superior Visualization Technology to be used in many industrial fields.
Facts and Figures 2015 - TECOSIM at a glance TECOSIM Group
TECOSIM is a technology corporation specialising in computer-aided engineering (CAE). The group has six branches in Germany and subsidiary companies in Austria, India, Japan and the UK. With a team of about 400 employees worldwide, TECOSIM provides services to international clients in the transport, energy, health and industry & technology sectors.
GHENOVA 360 offers a comprehensive solution for the development of digital twins of naval equipment and systems, in addition to their integration in civil and military ships. Our Advanced Digital Twins Center has extensive experience in this field that will represent a new paradigm in the construction, operation and maintenance of ships, where Spain and GHENOVA are at the forefront.
Games Industry Adaptive Roadmap CGAT 2017David Wortley
This presentation was delivered at CGAT 2017 in Singapore. This conference on Computer Games and Allied Technologies was organised by Global Science and Technology Forum. The presentation shares the results of the Cre-AM European Project which sought to develop technology roadmaps for the creative industries.
GHENOVA 360 offers a comprehensive solution for the development of digital twins of naval equipment and systems, in addition to their integration in civil and military ships. Our Advanced Digital Twins Center has extensive experience in this field that will represent a new paradigm in the construction, operation and maintenance of ships, where Spain and GHENOVA are at the forefront.
Von der Zustandsüberwachung zur vorausschauenden WartungPeter Schleinitz
Talk at Sensorik-Stammtisch of thew Mittelstand 4.0-Kompetenzzentrum Ilmenau, http://www.kompetenzzentrum-ilmenau.digital/news/item/157-predictive-analytics-thema-beim-sensorik-stammtisch #ibmaot
Infopulse AI, Data Science & RPA Managed ServicesInfopulse
Infopulse applies methods and tools like artificial intelligence, machine learning & deep learning, computer vision, natural language processing, predictive analytics, data mining, and robotic process automation to help our clients create customized tools that automate their operations, innovate and drive business, and increase customer service. Learn more about our expertise.
10/8/2014
1
MATLAB Introduction II
Programming and Scripts
Programming and Scripts
• The simplest type of MATLAB program is
called a script.
• A script is a file with a .m extension that
contains multiple sequential lines of MATLAB
commands and function calls.
• You can run a script by typing its name at the
command line.
10/8/2014
2
Sample Script
• To create a script, use the edit command,
• This opens a blank file named plotrand.m
• Enter some code that plots a vector of random
data:
edit plotrand
n = 50;
r = rand(n,1);
plot(r)
Sample Script
• Next, add code that draws a horizontal line on
the plot at the mean:
m = mean(r);
hold on
plot([0,n],[m,m])
hold off
title('Mean of Random Uniform Data')
10/8/2014
3
Sample Script
• Whenever you write code, it is a good practice to add
comments that describe the code. Comments allow others to
understand your code, and can refresh your memory when you
return to it later. Add comments using the percent (%) symbol.
% Generate random data from a uniform distribution
% and calculate the mean. Plot the data and the mean.
n = 50; % 50 data points
r = rand(n,1);
plot(r)
% Draw a line from (0,m) to (n,m)
m = mean(r);
hold on
plot([0,n],[m,m])
hold off
title('Mean of Random Uniform Data')
Sample Script
• Save the file in the current folder. To run the
script, type its name at the command line:
• You can also run scripts from the Editor by
pressing the Run button, .
plotrand
10/8/2014
4
Sample Script
• You will have something like this.
0 5 10 15 20 25 30 35 40 45 50
0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
0.9
1
Mean of Random Uniform Data
Loops and Conditional Statements
• Within a script, you can loop over sections of code
and conditionally execute sections using the
keywords for, while, if, and switch.
• For example, create a script named calcmean.m that
uses a for loop to calculate the mean of five random
samples and the overall mean.
edit calcmean.m
10/8/2014
5
Loops and Conditional Statements
• Now, modify the for loop so that you can view the results
at each iteration. Display text in the Command Window
that includes the current iteration number, and remove
the semicolon from the assignment to sampleMean.
nsamples = 5;
npoints = 50;
for k = 1:nsamples
currentData = rand(npoints,1);
sampleMean(k) = mean(currentData);
end
overallMean = mean(sampleMean)
Loops and Conditional Statements
• When you run the script, it displays the
intermediate results, and then calculates the
overall mean.
for k = 1:nsamples
iterationString = ['Iteration #',int2str(k)];
disp(iterationString)
currentData = rand(npoints,1);
sampleMean(k) = mean(currentData)
end
overallMean = mean(sampleMean)
10/8/2014
6
Loops and Conditional Statements
• You will have something like this in the command
window.
Iteration #1
sampleMean =
0.4899
Iteration #2
sampleMean =
0.4899 0.4505
Iteration #3
sampl.
HPE Hybrid HPC strategy including UberCloud ContainersThomas Francis
Selected slides from HPE's Hybrid HPC Strategy via Jean-Luc Assor, Worldwide Director, Hybrid HPC / HPC Cloud. Includes breakthrough simulations in healthcare made possible by UberCloud Containers
Choosing the Right Tool for the Job: Cognos Workspace vs. Traditional Studios...Senturus
This presentation features differences between Cognos 10 tools. View the webinar video recording and download this deck: http://www.senturus.com/resource-video/choosing-right-reporting-tool-job/?rId=2156.
Learn about Active Report, Cognos Workspace Standard and Advanced and the traditional studios such as Query and Report. One of the challenges every Cognos user faces is, "Which tool should I use for my application?" With Cognos 10, you have many choices. This session outlines important criteria that should be considered before investing significant hours (and dollars) in development, and provides tips on how to make the right tool choice.
Senturus, a business analytics consulting firm, has a resource library with hundreds of free recorded webinars, trainings, demos and unbiased product reviews. Take a look and share them with your colleagues and friends: http://www.senturus.com/resources/.
Senior Systems Engineer, Virtualization Engineer, Analytics-Performance Engineer and Technical Architect with over 20 years of progressive experience and proven expertise in Virtualization, VDI environments, Systems Management, Analytics (Performance Management, Capacity Planning, Trending and Tuning) Global Project Design, Migrations, Pre-Sales and Post-Sales Technical support.
Iwan Van Der Kleijn - Expansión Internacional. Modelo de desarrollo ágil basa...COIICV
Ponencia: Expansión Internacional. Modelo de desarrollo ágil basado en microservicios, contenedores y Cloud - XIII Congreso de Ingeniería Informática de la Comunitat Valenciana – SI2018
Panopticon Data Visualization Software 6.1.1 IntroductionHugh Heinsohn
Panopticon 6.1.1 is the latest release of our comprehensive data visualization suite. It incorporates a number of important enhancements, including new data connectors, improvements to key visualizations, including Treemaps and Heatmaps, and a completely new visualization, the Timeseries Scatter Plot.
Panopticon 6.1.1 includes these changes:
- New Timeseries Scatter Plot Visualization
- Treemap and Heat Matrix (Tile) provide control over detail variable display
- Enhanced Heat Matrix tile to support multiple display fields
- Border specification around visualizations
- UI Enhancements to the Time Window Filter
- Interpolation capability across time axis gaps
- Numeric Identity Bucketing to support numeric values as categories
- HTML client support for data export
- New Time Series Product calculations
- Ability to pass zoom bounds into actions through special parameters
- Snapshot will be kept as last time slice for streaming time series
- Action button supports passing of parameters to parameters
- Java version of the Apache ActiveMQ connector
- Java version of the OneMarketData OneTick connector
- Java version of the Kx kdb+tick connector
- Updated Apache ActiveMQ connector to improve subscriber performance
- Enhanced parsing of timestamps in the Text, XML and OData connectors
- Command Line Utilities for the .NET server
GHENOVA 360 offers a comprehensive solution for the development of digital twins of naval equipment and systems, in addition to their integration in civil and military ships. Our Advanced Digital Twins Center has extensive experience in this field that will represent a new paradigm in the construction, operation and maintenance of ships, where Spain and GHENOVA are at the forefront.
Games Industry Adaptive Roadmap CGAT 2017David Wortley
This presentation was delivered at CGAT 2017 in Singapore. This conference on Computer Games and Allied Technologies was organised by Global Science and Technology Forum. The presentation shares the results of the Cre-AM European Project which sought to develop technology roadmaps for the creative industries.
GHENOVA 360 offers a comprehensive solution for the development of digital twins of naval equipment and systems, in addition to their integration in civil and military ships. Our Advanced Digital Twins Center has extensive experience in this field that will represent a new paradigm in the construction, operation and maintenance of ships, where Spain and GHENOVA are at the forefront.
Von der Zustandsüberwachung zur vorausschauenden WartungPeter Schleinitz
Talk at Sensorik-Stammtisch of thew Mittelstand 4.0-Kompetenzzentrum Ilmenau, http://www.kompetenzzentrum-ilmenau.digital/news/item/157-predictive-analytics-thema-beim-sensorik-stammtisch #ibmaot
Infopulse AI, Data Science & RPA Managed ServicesInfopulse
Infopulse applies methods and tools like artificial intelligence, machine learning & deep learning, computer vision, natural language processing, predictive analytics, data mining, and robotic process automation to help our clients create customized tools that automate their operations, innovate and drive business, and increase customer service. Learn more about our expertise.
10/8/2014
1
MATLAB Introduction II
Programming and Scripts
Programming and Scripts
• The simplest type of MATLAB program is
called a script.
• A script is a file with a .m extension that
contains multiple sequential lines of MATLAB
commands and function calls.
• You can run a script by typing its name at the
command line.
10/8/2014
2
Sample Script
• To create a script, use the edit command,
• This opens a blank file named plotrand.m
• Enter some code that plots a vector of random
data:
edit plotrand
n = 50;
r = rand(n,1);
plot(r)
Sample Script
• Next, add code that draws a horizontal line on
the plot at the mean:
m = mean(r);
hold on
plot([0,n],[m,m])
hold off
title('Mean of Random Uniform Data')
10/8/2014
3
Sample Script
• Whenever you write code, it is a good practice to add
comments that describe the code. Comments allow others to
understand your code, and can refresh your memory when you
return to it later. Add comments using the percent (%) symbol.
% Generate random data from a uniform distribution
% and calculate the mean. Plot the data and the mean.
n = 50; % 50 data points
r = rand(n,1);
plot(r)
% Draw a line from (0,m) to (n,m)
m = mean(r);
hold on
plot([0,n],[m,m])
hold off
title('Mean of Random Uniform Data')
Sample Script
• Save the file in the current folder. To run the
script, type its name at the command line:
• You can also run scripts from the Editor by
pressing the Run button, .
plotrand
10/8/2014
4
Sample Script
• You will have something like this.
0 5 10 15 20 25 30 35 40 45 50
0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
0.9
1
Mean of Random Uniform Data
Loops and Conditional Statements
• Within a script, you can loop over sections of code
and conditionally execute sections using the
keywords for, while, if, and switch.
• For example, create a script named calcmean.m that
uses a for loop to calculate the mean of five random
samples and the overall mean.
edit calcmean.m
10/8/2014
5
Loops and Conditional Statements
• Now, modify the for loop so that you can view the results
at each iteration. Display text in the Command Window
that includes the current iteration number, and remove
the semicolon from the assignment to sampleMean.
nsamples = 5;
npoints = 50;
for k = 1:nsamples
currentData = rand(npoints,1);
sampleMean(k) = mean(currentData);
end
overallMean = mean(sampleMean)
Loops and Conditional Statements
• When you run the script, it displays the
intermediate results, and then calculates the
overall mean.
for k = 1:nsamples
iterationString = ['Iteration #',int2str(k)];
disp(iterationString)
currentData = rand(npoints,1);
sampleMean(k) = mean(currentData)
end
overallMean = mean(sampleMean)
10/8/2014
6
Loops and Conditional Statements
• You will have something like this in the command
window.
Iteration #1
sampleMean =
0.4899
Iteration #2
sampleMean =
0.4899 0.4505
Iteration #3
sampl.
HPE Hybrid HPC strategy including UberCloud ContainersThomas Francis
Selected slides from HPE's Hybrid HPC Strategy via Jean-Luc Assor, Worldwide Director, Hybrid HPC / HPC Cloud. Includes breakthrough simulations in healthcare made possible by UberCloud Containers
Choosing the Right Tool for the Job: Cognos Workspace vs. Traditional Studios...Senturus
This presentation features differences between Cognos 10 tools. View the webinar video recording and download this deck: http://www.senturus.com/resource-video/choosing-right-reporting-tool-job/?rId=2156.
Learn about Active Report, Cognos Workspace Standard and Advanced and the traditional studios such as Query and Report. One of the challenges every Cognos user faces is, "Which tool should I use for my application?" With Cognos 10, you have many choices. This session outlines important criteria that should be considered before investing significant hours (and dollars) in development, and provides tips on how to make the right tool choice.
Senturus, a business analytics consulting firm, has a resource library with hundreds of free recorded webinars, trainings, demos and unbiased product reviews. Take a look and share them with your colleagues and friends: http://www.senturus.com/resources/.
Senior Systems Engineer, Virtualization Engineer, Analytics-Performance Engineer and Technical Architect with over 20 years of progressive experience and proven expertise in Virtualization, VDI environments, Systems Management, Analytics (Performance Management, Capacity Planning, Trending and Tuning) Global Project Design, Migrations, Pre-Sales and Post-Sales Technical support.
Iwan Van Der Kleijn - Expansión Internacional. Modelo de desarrollo ágil basa...COIICV
Ponencia: Expansión Internacional. Modelo de desarrollo ágil basado en microservicios, contenedores y Cloud - XIII Congreso de Ingeniería Informática de la Comunitat Valenciana – SI2018
Panopticon Data Visualization Software 6.1.1 IntroductionHugh Heinsohn
Panopticon 6.1.1 is the latest release of our comprehensive data visualization suite. It incorporates a number of important enhancements, including new data connectors, improvements to key visualizations, including Treemaps and Heatmaps, and a completely new visualization, the Timeseries Scatter Plot.
Panopticon 6.1.1 includes these changes:
- New Timeseries Scatter Plot Visualization
- Treemap and Heat Matrix (Tile) provide control over detail variable display
- Enhanced Heat Matrix tile to support multiple display fields
- Border specification around visualizations
- UI Enhancements to the Time Window Filter
- Interpolation capability across time axis gaps
- Numeric Identity Bucketing to support numeric values as categories
- HTML client support for data export
- New Time Series Product calculations
- Ability to pass zoom bounds into actions through special parameters
- Snapshot will be kept as last time slice for streaming time series
- Action button supports passing of parameters to parameters
- Java version of the Apache ActiveMQ connector
- Java version of the OneMarketData OneTick connector
- Java version of the Kx kdb+tick connector
- Updated Apache ActiveMQ connector to improve subscriber performance
- Enhanced parsing of timestamps in the Text, XML and OData connectors
- Command Line Utilities for the .NET server
8. Simulation user community
• End responsibility
Decision • Teamwork
maker(s) • Understanding
• Domain
knowledge
Analyst(s) • Experimentation
• Communication
• Simulation
Model(s) Model software experts
builder(s) • Analytical
User
interface
Reports &
Dashboards
9. Manufacturing
Design of Greenfield production plants
Production planning /scheduling
Six Sigma and Lean Manufacturing
Manufacturing Execution Systems (MES)
Just in time/Kanban systems
Operations efficiency
10. Food & Beverage
Design of Greenfield production plants
Production planning /scheduling
Six Sigma and Lean Manufacturing
Manufacturing Execution Systems (MES)
14. Business Process
Design and implementation of contact centers
Design and implementation of shared services centers
Business Process Reengineering
Modeling front-office and back-office processes
Business Process Planning
Human Resource Modeling
17. Oil, Chemical & LNG
Warehouse Operations
Production planning /scheduling
Six Sigma and Lean Manufacturing
Port logistic design
LNG terminal design & operations planning
Oil & chemical terminal design & operations planning
18. Healthcare
Simulation of the Accident & Emergency department of an NHS hospital
Hospital Navigator Bed Occupancy Edition
Medical Process Template for Arena simulation software
Operational decision support solution for hospital theatre scheduling
22. Forecasting Algorithms
Moving average Trend estimation Linear prediction
Exponential Growth curve Auto Regressive
Smoothing Moving Average
Extrapolation
24. Planning & Scheduling
Improvement in productivity
Reduction in raw materials inventory
Reduction in make-span time
Improvement in customer service
Take into account real-world capacity limits
Unexpected events
Material pegging & complex routing