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Web Demos

There are no Web Demos scheduled at this time. To be notified of any upcoming Web Demos, please join our mailing list.

Previous Web Demos:

Recorded Demos - Download and Watch


What's New in DiscoverSim Version 2 Watch Download
What's New in SigmaXL Version 7 Watch Download
New Templates in SigmaXL 6.2 Watch Download
Three Case Studies Using DiscoverSim Watch Download
Variation Reduction and Robust Design Using DiscoverSim Watch Download
How to deal with Non-Normal Data in Process Improvement Projects Watch Download
Introduction to Logistic Regression with SigmaXL Watch Download
SigmaXL Case Study Watch Download
Introduction to SigmaXL V6 Watch Download
Process Capability and SPC Watch Download
Multiple Regression and DOE Watch Download
Prioritize Properly with Pareto Charts and EZ-Pivot Watch Download
Introduction to SigmaXL V6.1 Watch Download
Correlation & Multiple Regression with SigmaXL Watch Download

Thursday, January 28th 2016, 3:00-4:00pm EST

What's New In DiscoverSim Version 2

Presenter: John Noguera, Co-Founder and CTO of SigmaXL

SigmaXL Inc. CTO, John Noguera, walks you through the new features available in DiscoverSim Version 2, most notably MIDACO-SOLVER.

What's New in SigmaXL Version 7

Presenter: John Noguera, Co-Founder and CTO of SigmaXL

SigmaXL Version 7 has added some exciting, new and unique features. This webinar will give an overview of these features.

Download the PowerPoint slide here

Thursday, April 25th, 2013th, 2-3 pm EDT

SigmaXL 6.2 Web Demo

Presenter: John Noguera, Co-Founder and CTO of SigmaXL

John Noguera, Co-Founder and CTO of SigmaXL, discusses the 4 new and 6 upgraded templates included in SigmaXL 6.2

Download the PowerPoint slide here

Monday, September 24th, 2-3 pm EDT

DiscoverSim™ Web Demo

Presenter: John Noguera, Co-Founder and CTO of SigmaXL

John Noguera, Co-Founder and CTO of SigmaXL, will demonstrate how DiscoverSim™ can help you minimize costs, maximize profits, and optimize your processes.

Wednesday, April 4th, 2012 2-3 pm EDT

Multiple Response Optimization and Practical Tolerance Design Using DiscoverSim™

Presenter: John Noguera, Co-Founder and CTO of SigmaXL

Agenda:

This webinar will feature a Design for Six Sigma (DFSS) case study using SigmaXL’s new DiscoverSim Monte Carlo Simulation and Optimization tool:

The passive low pass resistor capacitor filter network shown below has been analyzed in several papers. It will be used to demonstrate how DiscoverSim allows you to easily solve the difficult problems of multiple response optimization for parameter design and practical tolerance design.

Duration: 50 minutes

Q&A: 10 minutes


Passive RC Filter Network

 

Wednesday, January 25th, 2-3 pm EST

Three Case Studies Using DiscoverSim™

Presenter: John Noguera, Co-Founder and CTO of SigmaXL

The Web Demo will cover the following three case studies.

1. Retail Profit Simulation:

This is an example of Monte Carlo simulation to determine probability of daily profit using a basic profit model for a small retail business. We will apply distribution fitting to historical data and specify input correlations to define the model in a way that closely matches our real world business. Sensitivity analysis will be performed to determine the key input factors affecting profit.

2. Magazine Production Optimization:

This is an example of simulation and optimization to determine optimal magazine production quantity for newsstand distribution to maximize net profit. A custom discrete distribution will be used to model customer demand.

3. Six Sigma DMAIC Project Portfolio Selection:

This is an example of discrete optimization used to select projects that maximize expected cost savings and minimize variability subject to a constraint of total resources.

Demonstration: 50 minutes

Q&A: 10 minutes

Wednesday, December 14, 2-3 pm EST

Variation Reduction Using DiscoverSim™

Presenter: John Noguera, Co-Founder and CTO of SigmaXL

Agenda:

  • Introduction to DiscoverSim
  • What Is Monte Carlo Simulation?
  • The Power of Global Optimization
  • Case Study: Reduce variation when firing a catapult

Demonstration: 50 minutes

Q&A: 10 minutes

October 12th, 2011

Variation Reduction and Robust Design Using DiscoverSim™

Presenter: John Noguera, Co-Founder and CTO of SigmaXL

Agenda:

  • Introduction to DiscoverSim
  • Monte Carlo Simulation
  • Stochastic Global Optimization
  • Case Study: Robust Design of Shut-Off Valve Spring Force

Downloads: PowerPoint Slides

Demonstration: 50 minutes

Q&A: 10 minutes


June 29th, 2011

How to Deal With Nonnormal Data in Process Improvement Projects

Presenter: John Noguera, Co-Founder and CTO of SigmaXL

This webinar will cover the real world issues around dealing with nonnormal data in process improvement projects. Topics will include:

Agenda:

  • When do I need to worry about Nonnormal data (i.e., is the Central Limit Theorem working for me)?
  • Guidelines on sample size for central limit theorem to work (for mild, moderate and severe skewness)
  • Do I have Outliers or Inherently Nonnormal data?
  • Do I need to stratify to deal with a bimodal distribution?
  • How do I deal with Nonnormality due to measurement discrimination (“chunky” data)
  • SigmaXL tools to detect Nonnormality
    • Graphical Tools: Histogram, Boxplot, Normal Probability Plot, Control Chart
    • Anderson Darling Normality Test
  • SigmaXL tools to deal with Nonnormality
    • Nonparametric Tests
    • Transformations and Distribution Fitting

Downloads: Presentation Data , PowerPoint Slides

Demonstration: 50 minutes

Q&A: 10 minutes


Wednesday May 4th

Introduction to Logistic Regression

Presenter: John Noguera, Co-Founder and CTO of SigmaXL

Have you ever wondered how researchers determine the odds of lung cancer versus risk factors such as years of smoking and number of cigarettes smoked per day?

Lung cancer (and other diseases) are discrete in nature.  You either have cancer or you don't.  Years of smoking and number of cigarettes are continuous predictors.  So the tool researchers use is Binary Logistic Regression.

Binary Logistic Regression is also a powerful tool to help determine the root causes of manufacturing or transactional defects.

This webinar will introduce you to SigmaXL's Logistic Regression Tools.

Agenda:

  • Introduction to Binary Logistic Regression (How it differs from Least Squares Regression)
  • Data Format
  • Interpretation of SigmaXL's Output
    • P-Values
    • Odds Ratios
    • Pseudo R-Square
    • Goodness of Fit Tests
  • Residuals Analysis
  • Event Probability Calculator
  • Ordinal Logistic Regression

Demonstration: 40-50 minutes

Q&A: 10 minutes


Wednesday, Dec 23rd

Case Study: Using SigmaXL and DMAIC to Improve Customer Satisfaction*

By: John Noguera, CTO and cofounder, SigmaXL Inc.

We demonstrate how SigmaXL’s user-friendly and powerful graphical and statistical tools were used to identify key drivers linked to customer satisfaction, including:

  • Basic Data Manipulation
  • Descriptive Statistics
  • Histograms
  • Process Capability for Normal and Nonnormal Data
  • Pareto Charts
  • Boxplots
  • Multi-Vari Charts
  • Hypothesis Testing – ANOVA
  • Scatter Plots and Scatter Plot Matrix
  • Multiple Linear Regression
  • Hypothesis Testing 2 Sample Comparison: “before improvement” versus “after improvement”
  • Control charts with split limits also clearly show the “before improvement” versus “after improvement” results.

Case Study: 50 Minutes

Q&A: 10 Minutes

Note: Any web demo can be scheduled, customized and presented to companies or organizations interested in SigmaXL


Wednesday, Sept. 30th

Introduction to SigmaXL Version 6

By: John Noguera, CTO and cofounder, SigmaXL Inc.

This webinar will introduce the powerful and user friendly features in SigmaXL Version 6. This includes an overview of:

  • Powerful Excel Workbook/Worksheet Manager
  • Lean Value Stream Mapping Template
  • Process Capability and Control Charts for Nonnormal data with Automatic Best Fit
  • Distribution Fitting Report
  • Response Surface Design of Experiments
  • Contour and 3D Surface Plots
  • New Statistical Calculators
  • New Probability Distribution Calculators
  • New Random Number Generators

Demonstration: 40-50 minutes

Q&A: 10 minutes


Wednesday, Oct 14th

Process Capability and Statistical Process Control (SPC) with SigmaXL

By: John Noguera, CTO and cofounder, SigmaXL Inc.

We demonstrate and explain SigmaXL's Process Capability and Statistical Process Control features including:

  • Capability Combination Report
  • Process Capability for Nonnormal Data
  • Control Charts for Normal and Nonnormal data
  • Control Chart features: Split Limits, Exclude Data, Add Comment

Demonstration: 40-50 minutes

Q&A: 10 minutes


Wednesday, Oct 21st

Multiple Regression and Design of Experiments (DOE) with SigmaXL

By: John Noguera, CTO and cofounder, SigmaXL Inc.

We demonstrate and show how to use SigmaXL's user-friendly and powerful Multiple Regression and DOE tools:

  • Multiple Regression
  • Design of Experiments Templates
  • Full and Fractional Factorial Designs
  • Response Surface Methods
  • Contour and 3D Surface Plots

Demonstration: 40-50 minutes

Q&A: 10 minutes


Wednesday, March 24th

Prioritize Properly with Pareto Charts and EZ-Pivot

Presenter: John Noguera, co-founder and CTO of SigmaXL

We demonstrate SigmaXL’s powerful Pareto Charts and EZ-Pivot tool to help you slice and dice your data to separate the vital few X’s from the trivial many possibilities.

Demonstration: 30 minutes

Q&A: 10 minutes


Thursday, February 24th

Introduction to SigmaXL Version 6.1

Presenter: John Noguera, co-founder and CTO of SigmaXL

This webinar will cover the improvements and new features added in SigmaXL Version 6.1:

  • Now compatible with Excel 2010 64 bit version
  • Updated Cause & Effect (XY) Matrix Template with Pareto Chart option
  • Updated Failure Mode & Effects Analysis (FMEA) Template with Risk Priority Number (RPN) Sort
  • Create Stacked Column Format for “Analyze Gage R&R” >> button
  • Updated Attribute MSA Template with Create Stacked Column Format to Analyze with “Attribute MSA (Binary)” >> button
  • Add Data menu options for Control Charts now include: “Add Data to this Control Chart” and “Add Data to all Control Charts
  • Capability Combination Report, Distribution Fitting and Control Charts for nonnormal data have updated dialogs with the distribution selection options displayed visually. This makes it easier to determine which distribution to select.

Demonstration: 40-50 minutes

Q&A: 10 minutes

Wednesday, March 30th

Correlation and Multiple Regression with SigmaXL

Presenter: John Noguera, co-founder and CTO of SigmaXL

Join us to learn how SigmaXL can help you quickly determine relationships in your data and identify the key drivers (X factors) affecting your business performance. Topics will include:

  • Graphical Tools: Scatter Plot and Scatter Plot Matrix
  • Correlation
  • Simple Linear Regression
  • Multiple Linear Regression
  • Interpretation of Output
  • Residuals Analysis
  • Dealing with Continuous and Categorical Predictors
  • Using the Predicted Response Calculator
  • Case Study: Customer Satisfaction Data

Duration: 40-50 min

Q & A: 10 min