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Calendario de eventos

Domingo. 22 Octubre, 2023 - Sábado. 28 Octubre, 2023
Semana anterior SEMANA 43 La próxima semana
Lunes. 23 Octubre, 2023
8:30 am

Six Sigma Green Belt Certification

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
2:00 pm

Leadership Development: Conflict Resolution

Virtual Instructor Led Training

TNCCI rgb

Virtual Leadership Development Series Hosted by the TN Chamber of Commerce

Lesson 6: Conflict Resolution

Wherever two or more people come together, there is the possibility of conflict. This lesson will give participants a six-step process that they can use to modify and resolve conflicts of any size. Participants will also learn crucial conflict resolution skills, including disagreeing diplomatically and using the Agreement Frame. Discover 5 different conflict styles and when they are appropriate to use and understanding the Conflict Resolution Process.

Today’s leader must be versatile and adaptable. This training is designed for department heads, front line supervisors, team leaders and coordinators whether they are new to the position or have been in a leadership role for years. 

Course Delivery
Blended Learning - Online, Self-Paced and Instructor Led

Participants will receive a link to the online portion of the course one week prior to the class date, to complete on their own. This is a 1 hour self-paced lesson. Participants will then join a 90 minute, virtual instructor-led class to review course material and apply knowledge through class activities.

Participants will be awarded a badge for each course they complete. A Leadership Development Certificate will be awarded to those participants completing all 7 courses within the certification.


Instructor:
Nicholas Mansito, Peak Performance

Fees/Admission:
$129/session if registered by July 31 (Early-bird rate)
$159/session after July 31
$833.00 Full series price for all seven sessions

Details & Registration


Martes. 24 Octubre, 2023
8:30 am

Six Sigma Green Belt Certification (10-24-2023)

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
Miércoles. 25 Octubre, 2023
8:30 am

Six Sigma Green Belt Certification (10-25-2023)

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
9:00 am

Leadership Development (PRIVATE TRAINING: GEON)

his is a private client training and registration is closed to the public.

Interested in hosting your employee training at the Smart Factory Institute or at your facility?
The Smart Factory Institute is available for you to host your employee training classes and offers a unique opportunity to provide your employees with hands-on experience using cutting-edge manufacturing technologies and processes. This immersive learning environment fosters innovation and showcases a commitment to workforce development in the community and industry.

Additionally, Peak Performance offers customized training hosted at a client's facility for a tailored and efficient learning experience designed to address specific organizational needs. By bringing expert trainers directly to the client's location, participants can experience team cohesion, as colleagues collaborate in familiar surroundings.


Contact us at info@peakperformanceinc.com to connect with our Director of Training and Consulting to book your training needs.
3:00 pm

Leadership Development (PRIVATE TRAINING: GEON)

This is a private client training and registration is closed to the public.

Interested in hosting your employee training at the Smart Factory Institute or at your facility?
The Smart Factory Institute is available for you to host your employee training classes and offers a unique opportunity to provide your employees with hands-on experience using cutting-edge manufacturing technologies and processes. This immersive learning environment fosters innovation and showcases a commitment to workforce development in the community and industry.

Additionally, Peak Performance offers customized training hosted at a client's facility for a tailored and efficient learning experience designed to address specific organizational needs. By bringing expert trainers directly to the client's location, participants can experience team cohesion, as colleagues collaborate in familiar surroundings.


Contact us at info@peakperformanceinc.com to connect with our Director of Training and Consulting to book your training needs.
Jueves. 26 Octubre, 2023
8:30 am

Six Sigma Green Belt Certification (10-26-2023)

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
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