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Events Calendar

Sunday. 12 November, 2023 - Saturday. 18 November, 2023
Previous Week WEEK 46 Next Week
Monday. 13 November, 2023
8:30 am

Six Sigma Green Belt Certification (11-13-2023)

Smart Factory Institute at the PIE Innovation Center

Six Sigma Green Belt

Learn how to collect data, understand data collection methods and analysis and, analyze root cause problems. These courses include a combination of classroom presentation, hands-on exercises and a process improvement project for your organization. This training is designed for technical professionals, engineers, technicians, process improvement practitioners and technical managers, or anyone tasked with process or quality improvement.

After completing these training courses, you will have the skills needed to lead Lean Six Sigma process improvement projects, work on teams led by Lean Six Sigma Black Belts and help your organization implement Lean Six Sigma effectively. Participants will learn the foundation of project chartering to adequately define their project and the tools necessary to measure the baseline of the process and will also be exposed to several methods that can be utilized to sustain the improvements implemented.

Courses Include:

5.3.1 Six Sigma Green Belt: Overview, DMAIC & Project Definition
  • Define the Lean Six Sigma process and introduce the DMAIC roadmap;
  • Provide an overview of process mapping.
5.3.2 Six Sigma Green Belt: Basic Statistics & Graphical Methods
  • Define ways of describing data, center, shape, spread and normality;
  • Demonstrate basic graphical methods to study process variation.
5.3.3 Six Sigma Green Belt: Statistical Process Control
  • Introduce control charts and methods of interpretation;
  • Define process capability indices for short term and long-term capability.
5.3.4 Six Sigma Green Belt: Measurement System Analysis
  • Introduce concept of MSA and evaluation of data;
  • Outline procedure to perform and analyze Gage R&R Studies.
5.3.5 Six Sigma Green Belt: Failure Mode & Effects Analysis
  • Review steps needed to create a Cause & Effect Matrix (C & E);
  • Define the steps required to develop a process FMEA.
5.3.6 Six Sigma Green Belt: Statistical Relationship Methods
  • Utilize hypothesis testing to evaluate comparisons of data;
  • Explain concept of Correlation & Regression.
5.3.7 Six Sigma Green Belt: Design of Experiments
  • Analyze examples of General Linear Model (GLM) and 2k Factorial DOEs;
  • Practice setting up and performing a DOE.
5.3.8 Six Sigma Green Belt: Control Plans
  • Understand importance of Standardized Work and Single Point Lessons;
  • Define steps to create Control Plans.

Course Schedule Week 1
10/23/23 - 8:30pm - 4:30pm - 5.3.1 Overview, DMAIC, & Project Definition
10/24/23 - 8:30pm - 4:30pm - 5.3.2 Basic Statistics & Graphical Methods
10/25/23 - 8:30pm - 4:30pm - 5.3.3 Statistical Process Control
10/26/23 - 8:30pm - 4:30pm - 5.3.4 Measurement System Analysis

Course Schedule Week 2
11/13/23 - 8:30pm - 4:30pm - 5.3.5 Failure Mode & Effects Analysis
11/14/23 - 8:30pm - 4:30pm - 5.3.6 Statistical Relationship Methods
11/15/23 - 8:30pm - 4:30pm - 5.3.7 Design of Experiments
11/16/23 - 8:30pm - 4:30pm - 5.3.8 Control Plans
Tuesday. 14 November, 2023
8:30 am

Six Sigma Green Belt Certification (11-14-2023)

Smart Factory Institute at the PIE Innovation Center

Six Sigma Green Belt

Learn how to collect data, understand data collection methods and analysis and, analyze root cause problems. These courses include a combination of classroom presentation, hands-on exercises and a process improvement project for your organization. This training is designed for technical professionals, engineers, technicians, process improvement practitioners and technical managers, or anyone tasked with process or quality improvement.

After completing these training courses, you will have the skills needed to lead Lean Six Sigma process improvement projects, work on teams led by Lean Six Sigma Black Belts and help your organization implement Lean Six Sigma effectively. Participants will learn the foundation of project chartering to adequately define their project and the tools necessary to measure the baseline of the process and will also be exposed to several methods that can be utilized to sustain the improvements implemented.

Courses Include:

5.3.1 Six Sigma Green Belt: Overview, DMAIC & Project Definition
  • Define the Lean Six Sigma process and introduce the DMAIC roadmap;
  • Provide an overview of process mapping.
5.3.2 Six Sigma Green Belt: Basic Statistics & Graphical Methods
  • Define ways of describing data, center, shape, spread and normality;
  • Demonstrate basic graphical methods to study process variation.
5.3.3 Six Sigma Green Belt: Statistical Process Control
  • Introduce control charts and methods of interpretation;
  • Define process capability indices for short term and long-term capability.
5.3.4 Six Sigma Green Belt: Measurement System Analysis
  • Introduce concept of MSA and evaluation of data;
  • Outline procedure to perform and analyze Gage R&R Studies.
5.3.5 Six Sigma Green Belt: Failure Mode & Effects Analysis
  • Review steps needed to create a Cause & Effect Matrix (C & E);
  • Define the steps required to develop a process FMEA.
5.3.6 Six Sigma Green Belt: Statistical Relationship Methods
  • Utilize hypothesis testing to evaluate comparisons of data;
  • Explain concept of Correlation & Regression.
5.3.7 Six Sigma Green Belt: Design of Experiments
  • Analyze examples of General Linear Model (GLM) and 2k Factorial DOEs;
  • Practice setting up and performing a DOE.
5.3.8 Six Sigma Green Belt: Control Plans
  • Understand importance of Standardized Work and Single Point Lessons;
  • Define steps to create Control Plans.

Course Schedule Week 1
10/23/23 - 8:30pm - 4:30pm - 5.3.1 Overview, DMAIC, & Project Definition
10/24/23 - 8:30pm - 4:30pm - 5.3.2 Basic Statistics & Graphical Methods
10/25/23 - 8:30pm - 4:30pm - 5.3.3 Statistical Process Control
10/26/23 - 8:30pm - 4:30pm - 5.3.4 Measurement System Analysis

Course Schedule Week 2
11/13/23 - 8:30pm - 4:30pm - 5.3.5 Failure Mode & Effects Analysis
11/14/23 - 8:30pm - 4:30pm - 5.3.6 Statistical Relationship Methods
11/15/23 - 8:30pm - 4:30pm - 5.3.7 Design of Experiments
11/16/23 - 8:30pm - 4:30pm - 5.3.8 Control Plans
Wednesday. 15 November, 2023
8:30 am

Six Sigma Green Belt Certification (11-15-2023)

Smart Factory Institute at the PIE Innovation Center

Six Sigma Green Belt

Learn how to collect data, understand data collection methods and analysis and, analyze root cause problems. These courses include a combination of classroom presentation, hands-on exercises and a process improvement project for your organization. This training is designed for technical professionals, engineers, technicians, process improvement practitioners and technical managers, or anyone tasked with process or quality improvement.

After completing these training courses, you will have the skills needed to lead Lean Six Sigma process improvement projects, work on teams led by Lean Six Sigma Black Belts and help your organization implement Lean Six Sigma effectively. Participants will learn the foundation of project chartering to adequately define their project and the tools necessary to measure the baseline of the process and will also be exposed to several methods that can be utilized to sustain the improvements implemented.

Courses Include:

5.3.1 Six Sigma Green Belt: Overview, DMAIC & Project Definition
  • Define the Lean Six Sigma process and introduce the DMAIC roadmap;
  • Provide an overview of process mapping.
5.3.2 Six Sigma Green Belt: Basic Statistics & Graphical Methods
  • Define ways of describing data, center, shape, spread and normality;
  • Demonstrate basic graphical methods to study process variation.
5.3.3 Six Sigma Green Belt: Statistical Process Control
  • Introduce control charts and methods of interpretation;
  • Define process capability indices for short term and long-term capability.
5.3.4 Six Sigma Green Belt: Measurement System Analysis
  • Introduce concept of MSA and evaluation of data;
  • Outline procedure to perform and analyze Gage R&R Studies.
5.3.5 Six Sigma Green Belt: Failure Mode & Effects Analysis
  • Review steps needed to create a Cause & Effect Matrix (C & E);
  • Define the steps required to develop a process FMEA.
5.3.6 Six Sigma Green Belt: Statistical Relationship Methods
  • Utilize hypothesis testing to evaluate comparisons of data;
  • Explain concept of Correlation & Regression.
5.3.7 Six Sigma Green Belt: Design of Experiments
  • Analyze examples of General Linear Model (GLM) and 2k Factorial DOEs;
  • Practice setting up and performing a DOE.
5.3.8 Six Sigma Green Belt: Control Plans
  • Understand importance of Standardized Work and Single Point Lessons;
  • Define steps to create Control Plans.

Course Schedule Week 1
10/23/23 - 8:30pm - 4:30pm - 5.3.1 Overview, DMAIC, & Project Definition
10/24/23 - 8:30pm - 4:30pm - 5.3.2 Basic Statistics & Graphical Methods
10/25/23 - 8:30pm - 4:30pm - 5.3.3 Statistical Process Control
10/26/23 - 8:30pm - 4:30pm - 5.3.4 Measurement System Analysis

Course Schedule Week 2
11/13/23 - 8:30pm - 4:30pm - 5.3.5 Failure Mode & Effects Analysis
11/14/23 - 8:30pm - 4:30pm - 5.3.6 Statistical Relationship Methods
11/15/23 - 8:30pm - 4:30pm - 5.3.7 Design of Experiments
11/16/23 - 8:30pm - 4:30pm - 5.3.8 Control Plans
Thursday. 16 November, 2023
8:30 am

Six Sigma Green Belt Certification (11-16-2023)

Smart Factory Institute at the PIE Innovation Center

Six Sigma Green Belt

Learn how to collect data, understand data collection methods and analysis and, analyze root cause problems. These courses include a combination of classroom presentation, hands-on exercises and a process improvement project for your organization. This training is designed for technical professionals, engineers, technicians, process improvement practitioners and technical managers, or anyone tasked with process or quality improvement.

After completing these training courses, you will have the skills needed to lead Lean Six Sigma process improvement projects, work on teams led by Lean Six Sigma Black Belts and help your organization implement Lean Six Sigma effectively. Participants will learn the foundation of project chartering to adequately define their project and the tools necessary to measure the baseline of the process and will also be exposed to several methods that can be utilized to sustain the improvements implemented.

Courses Include:

5.3.1 Six Sigma Green Belt: Overview, DMAIC & Project Definition
  • Define the Lean Six Sigma process and introduce the DMAIC roadmap;
  • Provide an overview of process mapping.
5.3.2 Six Sigma Green Belt: Basic Statistics & Graphical Methods
  • Define ways of describing data, center, shape, spread and normality;
  • Demonstrate basic graphical methods to study process variation.
5.3.3 Six Sigma Green Belt: Statistical Process Control
  • Introduce control charts and methods of interpretation;
  • Define process capability indices for short term and long-term capability.
5.3.4 Six Sigma Green Belt: Measurement System Analysis
  • Introduce concept of MSA and evaluation of data;
  • Outline procedure to perform and analyze Gage R&R Studies.
5.3.5 Six Sigma Green Belt: Failure Mode & Effects Analysis
  • Review steps needed to create a Cause & Effect Matrix (C & E);
  • Define the steps required to develop a process FMEA.
5.3.6 Six Sigma Green Belt: Statistical Relationship Methods
  • Utilize hypothesis testing to evaluate comparisons of data;
  • Explain concept of Correlation & Regression.
5.3.7 Six Sigma Green Belt: Design of Experiments
  • Analyze examples of General Linear Model (GLM) and 2k Factorial DOEs;
  • Practice setting up and performing a DOE.
5.3.8 Six Sigma Green Belt: Control Plans
  • Understand importance of Standardized Work and Single Point Lessons;
  • Define steps to create Control Plans.

Course Schedule Week 1
10/23/23 - 8:30pm - 4:30pm - 5.3.1 Overview, DMAIC, & Project Definition
10/24/23 - 8:30pm - 4:30pm - 5.3.2 Basic Statistics & Graphical Methods
10/25/23 - 8:30pm - 4:30pm - 5.3.3 Statistical Process Control
10/26/23 - 8:30pm - 4:30pm - 5.3.4 Measurement System Analysis

Course Schedule Week 2
11/13/23 - 8:30pm - 4:30pm - 5.3.5 Failure Mode & Effects Analysis
11/14/23 - 8:30pm - 4:30pm - 5.3.6 Statistical Relationship Methods
11/15/23 - 8:30pm - 4:30pm - 5.3.7 Design of Experiments
11/16/23 - 8:30pm - 4:30pm - 5.3.8 Control Plans
11:30 am

Total Productive Maintenance Lunch 'n Learn

Smart Factory Institute at the PIE Innovation Center

Total Productive Maintenance
Total Productive Maintenance (TPM) programs have been proven to help workers (from plant-floor employees to senior executives) incorporate maintenance into the everyday performance of a facility, detect maintenance problems earlier, "mistake-proof" equipment and reduce breakdowns. After completing this Lunch 'n Learn, participants will be introduced to the tools to launch, lead and sustain a systematic equipment and maintenance management improvement process and ensure alignment with overall Environmental, Health and Safety goals.

COURSE OBJECTIVES
5.5.1 Total Productive Maintenance: Overview of TPM
  • Identify the pillars;
  • Learn the benefits of implementing a TPM program;
  • Understand the importance of 5S;
  • Learn what makes a successful team. 

DESIGNED FOR
Production and maintenance supervisors, team leaders, coordinators, technicians, engineers and department heads.

LUNCH 'N LEARN DELIVERY
Instructor-Led

*Lunch is provided.
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