The Quest Alliance offers a considerable curriculum of
In House training courses, both standard (as described below) and customized training based on client needs. Our courses are offered at our client's location and my be attended by anyone in the clients organization for which the training may be appropriate. In some cases there is a logical sequence to training courses, and as such there is an implied pre-requisite structure to the sequencing of the courses, which is indicated in
the course descriptions below.
The following is list of standard training courses provided by The Quest Alliance. In addition to the course name, the duration of the course is provided along with a description of the contents of the course. Comments concerning the conduct of the course and additional course features and requirements are provided as well.
Basic Process Analysis, Improvement and Control
1. Quality Tools
Course Duration: 2 Days
Description: The Quality Tools course presents instruction on the basic 7 quality tools and miscellaneous other tools needed to engage in process analysis and improvement. The basic tools of Flow Charts, Histograms, Control (Run) Charts, Cause and Effect Diagrams, Pareto Diagrams, Arrow (Matrix) Diagrams, and Check Sheets. A variety of other basic tools such as S-I-P-O-C diagrams, Process Block Diagrams, Pie charts, Relationship Matrices, Swim Lane Charts, Process Maps and Value Stream Maps are covered as well. Practical examples are presented as part of the course content.
Comments: Since these are basic, and are so heavily used, appropriate portions of the contents of this course are quite frequently integrated into other courses. These tools however can be and are presented in this separate self-contained course.
Requirements: No software is required for this course.
Description: The Quality Tools course presents instruction on the basic 7 quality tools and miscellaneous other tools needed to engage in process analysis and improvement. The basic tools of Flow Charts, Histograms, Control (Run) Charts, Cause and Effect Diagrams, Pareto Diagrams, Arrow (Matrix) Diagrams, and Check Sheets. A variety of other basic tools such as S-I-P-O-C diagrams, Process Block Diagrams, Pie charts, Relationship Matrices, Swim Lane Charts, Process Maps and Value Stream Maps are covered as well. Practical examples are presented as part of the course content.
Comments: Since these are basic, and are so heavily used, appropriate portions of the contents of this course are quite frequently integrated into other courses. These tools however can be and are presented in this separate self-contained course.
Requirements: No software is required for this course.
2. Problem Solving
Course Duration: 3 Days
Description: This class presents the fundamentals of problems solving and includes topics on data, data collection and basic data analysis, problem identification, definition, and characterization, causal analysis and causal agents are discussed at length, as well an introduction to the Scientific Method as a means of effectively arriving at an understanding of explanation and knowledge development. A problem elimination system is presented and the basic material is extended by the additional content of the Apollo Root Cause System for problem solving associated with event based problem solving.
Comments:
Requirements: No special course requirements.
Description: This class presents the fundamentals of problems solving and includes topics on data, data collection and basic data analysis, problem identification, definition, and characterization, causal analysis and causal agents are discussed at length, as well an introduction to the Scientific Method as a means of effectively arriving at an understanding of explanation and knowledge development. A problem elimination system is presented and the basic material is extended by the additional content of the Apollo Root Cause System for problem solving associated with event based problem solving.
Comments:
Requirements: No special course requirements.
3. Control Plans
Course Duration: 1/2 Day
Description: This course presents the concepts and details of the development and use of Control Plans, for both Processes and Measurement Systems (Gauges). Control plans are, by definition a control tool and their development and use increases the likelihood of developing and maintaining process at improved levels of performance or capability. The material also contains a discussion of the use of Process Analysis Summary as an adjunct tool to control plans.
Comments: This course, along with FMEA (See next entry) is frequently incorporated into a discussion of Prevention Planning and Analysis, another similar Quality Planning tool. Excel spreadsheet and Word templates are provided in this class.
Requirements: No special course requirements.
Description: This course presents the concepts and details of the development and use of Control Plans, for both Processes and Measurement Systems (Gauges). Control plans are, by definition a control tool and their development and use increases the likelihood of developing and maintaining process at improved levels of performance or capability. The material also contains a discussion of the use of Process Analysis Summary as an adjunct tool to control plans.
Comments: This course, along with FMEA (See next entry) is frequently incorporated into a discussion of Prevention Planning and Analysis, another similar Quality Planning tool. Excel spreadsheet and Word templates are provided in this class.
Requirements: No special course requirements.
4. Failure Mode and Effects Analysis (FMEA)
Course Duration: 1/2 Day
Description: In this class the participant is introduced to Failure Mode and Effects Analysis as a prevention and quality planning tool. Applications of FMEA for Process and Product as well as an approach to Job Safety Analysis is presented. Participants are taught how to utilize a standard FMEA form, compute Risk Priority Numbers, RPNs, and take preventative actions based on the overall analysis.
Comments: This course is frequently augmented with a discussion of Prevention Planning and Analysis, another similar Quality Planning tool. (Information on PPA is provided next.) Excel spreadsheet and Word templates are provided in this class.
Requirements: No special course requirements.
Description: In this class the participant is introduced to Failure Mode and Effects Analysis as a prevention and quality planning tool. Applications of FMEA for Process and Product as well as an approach to Job Safety Analysis is presented. Participants are taught how to utilize a standard FMEA form, compute Risk Priority Numbers, RPNs, and take preventative actions based on the overall analysis.
Comments: This course is frequently augmented with a discussion of Prevention Planning and Analysis, another similar Quality Planning tool. (Information on PPA is provided next.) Excel spreadsheet and Word templates are provided in this class.
Requirements: No special course requirements.
5. Prevention Planning and Analysis
Course Duration: 1/2 Day
Description: This course is similar to the FMEA course just described. Prevention Planning and Analysis is an integration of Failure Mode and Effects Analysis, Problem Solving/Prevention and Control Plans. It is a demonstrated successful methodology for helping to assure the new processes or products are introduced with minimal opportunity for problems and failures. Since it includes or integrates concepts of FMEA, Problem Solving, and Control Plans, those topics are also introduced at an overview level.
Comments: Not only is Prevention Planning and Analysis a Prevention oriented tool, it is also a very useful tool for diagnosing and improving existing process that may be ailing. Excel spreadsheet and Word templates are provided in this class.
Requirements: No special course requirements.
Description: This course is similar to the FMEA course just described. Prevention Planning and Analysis is an integration of Failure Mode and Effects Analysis, Problem Solving/Prevention and Control Plans. It is a demonstrated successful methodology for helping to assure the new processes or products are introduced with minimal opportunity for problems and failures. Since it includes or integrates concepts of FMEA, Problem Solving, and Control Plans, those topics are also introduced at an overview level.
Comments: Not only is Prevention Planning and Analysis a Prevention oriented tool, it is also a very useful tool for diagnosing and improving existing process that may be ailing. Excel spreadsheet and Word templates are provided in this class.
Requirements: No special course requirements.
6. Statistical Process Control (Basic)
Course Duration: 3 1/2 Days
Description: This course covers:
Comments: When participants are using computers, this course is only 3 1/2 days long. It is preferred that computers are used, although this course can be taught without computers requiring participants to work and plot examples manually. In this case, the course is 1 week long.
Requirements: Computers and software are highly recommended. Software for use during training (MVPspc or MVPstats) will be provided free of charge. Licensed copies for regular use after training will require the purchase of licenses. MVPspc is shareware with economical pricing. Both packages are fully described at MVPprograms.com.
Description: This course covers:
- The basics of statistical data analysis of processes (manufacturing, production, administrative or service oriented)
- Elementary issues concerning data types an appropriate statistical evaluation of that data
- How to collect relevant process data for analysis
- The use of both
- Variables charts (X-bar and R, X-bar and S, Individuals and Moving Range charts)
- Attributes charts (p, np, c and u charts)
- A description of Control and the Rules for assessing statistical control
- The assessment of process capability
- Implementation strategy for the use control charts for assessing and establishing process control
- Numerous examples and sample problems are used to permit acquisition of skill in the use of these tools
Comments: When participants are using computers, this course is only 3 1/2 days long. It is preferred that computers are used, although this course can be taught without computers requiring participants to work and plot examples manually. In this case, the course is 1 week long.
Requirements: Computers and software are highly recommended. Software for use during training (MVPspc or MVPstats) will be provided free of charge. Licensed copies for regular use after training will require the purchase of licenses. MVPspc is shareware with economical pricing. Both packages are fully described at MVPprograms.com.
7. Measurement Systems Analysis (Continuous Data)
Course Duration: 1 Day
Description: This course presents the rationale for and the details of conducting Measurement Systems Analysis. IOn addition to basic concepts and terminology, guidelines are provided for conducting three types of MSA studies: Potential studies, Short-term capability studies, and Long-term capability studies. Examples and participant exercises for each type of study are presented.
Comments: Measurement Systems Analysis studies are frequently referred to as Gauge R & R studies. (R & R stand for Repeatability and Reproducibility).
Requirements: Computers are required for class participants. The MVPstats software is provided free for training purposes. This software performs the proper statistical analysis of MSA data. Excel spreadsheets are also used in this course and are provided to the participants.
Description: This course presents the rationale for and the details of conducting Measurement Systems Analysis. IOn addition to basic concepts and terminology, guidelines are provided for conducting three types of MSA studies: Potential studies, Short-term capability studies, and Long-term capability studies. Examples and participant exercises for each type of study are presented.
Comments: Measurement Systems Analysis studies are frequently referred to as Gauge R & R studies. (R & R stand for Repeatability and Reproducibility).
Requirements: Computers are required for class participants. The MVPstats software is provided free for training purposes. This software performs the proper statistical analysis of MSA data. Excel spreadsheets are also used in this course and are provided to the participants.
8. Process Performance Analysis
Course Duration: 1 Day
Description: Process Performance Analysis (PPA) provides a new way to assess processes. This methodology is a revolutionary approach which moves beyond the traditional control and capability analysis. PPA uses performance measures such as Pp, Ppk, and Ppm with analysis to assess performance of a process, determine sources of variation, assess process potential, and determine improvement opportunity. This analysis may be conducted where statistical control may not have been achieved, normality is not present and where a large number of process streams exist.
Comments: This course is taught in two versions, one with computers, and one without. When the participants need to actually conduct Performance Assessments and want to learn how to use the software Perform, computers are required (in this case the software is provided free of charge for training). This course can also be taught without computers for the participants. However, the instructor will make heavy and extensive use of the computer to demonstrate the analysis methods and results (which can not be obtained without the use of proper software unless the participant is a highly skilled statistician with considerable experience and has the availability of advanced statistical analysis software for analyzing complex Analysis of Variance models).
Requirements: The Perform software is provided free for training purposes.
Description: Process Performance Analysis (PPA) provides a new way to assess processes. This methodology is a revolutionary approach which moves beyond the traditional control and capability analysis. PPA uses performance measures such as Pp, Ppk, and Ppm with analysis to assess performance of a process, determine sources of variation, assess process potential, and determine improvement opportunity. This analysis may be conducted where statistical control may not have been achieved, normality is not present and where a large number of process streams exist.
Comments: This course is taught in two versions, one with computers, and one without. When the participants need to actually conduct Performance Assessments and want to learn how to use the software Perform, computers are required (in this case the software is provided free of charge for training). This course can also be taught without computers for the participants. However, the instructor will make heavy and extensive use of the computer to demonstrate the analysis methods and results (which can not be obtained without the use of proper software unless the participant is a highly skilled statistician with considerable experience and has the availability of advanced statistical analysis software for analyzing complex Analysis of Variance models).
Requirements: The Perform software is provided free for training purposes.
9. Daily Management
Course Duration: 2 Days
Description: This course presents material critical to the control and regulation of processes from a day-to-day control perspective. It outlines the need for control methodologies and relies upon their use as well. A proprietary "House of Daily Management" model is used for developing the system of Daily Management that should be used in process management. The content also lays the foundation for and integrates the use of many of the improvement and control tools that make up the body of Quality Improvement. The material also includes a step-by-step system for the implementation and effective use of Daily Management as a process control tool with roles and responsibilities defined.
Comments: The Daily Management model taught in this course is a proprietary version of a generic Process control Management System.
Requirements: No special course requirements.
Description: This course presents material critical to the control and regulation of processes from a day-to-day control perspective. It outlines the need for control methodologies and relies upon their use as well. A proprietary "House of Daily Management" model is used for developing the system of Daily Management that should be used in process management. The content also lays the foundation for and integrates the use of many of the improvement and control tools that make up the body of Quality Improvement. The material also includes a step-by-step system for the implementation and effective use of Daily Management as a process control tool with roles and responsibilities defined.
Comments: The Daily Management model taught in this course is a proprietary version of a generic Process control Management System.
Requirements: No special course requirements.
Six Sigma and Lean
10. Six Sigma Executive Overview
Course Duration: 6 Hours
Description: This course presents an overview intended for Executives, senior managers and organizational leaders, and provides a description of the Business Improvement Methodology known as Six Sigma. It provides details on the nature of Six Sigma, its benefits, what it entails, and outlines issues associated with the implementation of a company-wide Six Sigma Initiative. A Content Summary follows:
Comments: This overview is important in providing a description and roadmap for the implementation of a Six Sigma initiative. Its content is engaging and thought provoking.
Requirements: Everyone who plans to attend this overview should be attendance for the entire 6 hour session.
Description: This course presents an overview intended for Executives, senior managers and organizational leaders, and provides a description of the Business Improvement Methodology known as Six Sigma. It provides details on the nature of Six Sigma, its benefits, what it entails, and outlines issues associated with the implementation of a company-wide Six Sigma Initiative. A Content Summary follows:
- Six Sigma Explained and Potential Results
- Historical Development of Six Sigma
- What's Old and What's New
- Common Mistakes and Pitfalls
- Implementation Strategy
- Training Requirements
- Numerous Case Studies
Comments: This overview is important in providing a description and roadmap for the implementation of a Six Sigma initiative. Its content is engaging and thought provoking.
Requirements: Everyone who plans to attend this overview should be attendance for the entire 6 hour session.
11. Six Sigma Champion's Training
Course Duration: 1 Week
Description: This course provides detailed information to the organizational leaders who are to be the champions of a Six Sigma corporate improvement initiative and primary project sponsors. Not only does this course contain a presentation of a detailed components of Six Sigma, but there is facilitation of the implementation of Six Sigma as well as implementation control, monitoring and advancing the improvements that Six Sigma team projects produce. A content summary follows:
Comments: This course is necessary for those who will be sponsoring or mentoring teams with the aid of a Master Black Belt (in the ideal implementation of Six Sigma), but who will not attend the 4 week Six Sigma Black Belt series. The course provides company leadership with the knowledge and skills to facilitate teams and effectively assist in the company's Six Sigma Implementation.
Requirements: Computers for participants (individual or shared) is required, and MVPstats (free training/demo version) is required for this course.
Description: This course provides detailed information to the organizational leaders who are to be the champions of a Six Sigma corporate improvement initiative and primary project sponsors. Not only does this course contain a presentation of a detailed components of Six Sigma, but there is facilitation of the implementation of Six Sigma as well as implementation control, monitoring and advancing the improvements that Six Sigma team projects produce. A content summary follows:
- Six Sigma Explained, Potential results, Case Studies
- Champion Roles and Responsibilities
- Technical aspects of Six Sigma and Statistical Analysis Overview
- Business Analysis
- How to Implement Six Sigma
- Six Sigma Infrastructure
- Black Belt and Master Black Belt Selection
- Project Selection, Deployment, Monitoring and Management
- Managing Organizational Issues
- Implementation Workshop
Comments: This course is necessary for those who will be sponsoring or mentoring teams with the aid of a Master Black Belt (in the ideal implementation of Six Sigma), but who will not attend the 4 week Six Sigma Black Belt series. The course provides company leadership with the knowledge and skills to facilitate teams and effectively assist in the company's Six Sigma Implementation.
Requirements: Computers for participants (individual or shared) is required, and MVPstats (free training/demo version) is required for this course.
12. Six Sigma Black Belt I
Course Duration: 1 Week
Description: This is the first of 4 weeks of Black Belt training. The first week presents the participants with the perspective of the organization's Six Sigma Initiative, it outlines the Six Sigma improvement methodology (DMAIC-Define, Measure, Analyze, Improve, Control), and how projects are identified, launched and brought to successful completion. Week 1 also focuses specifically on the Define and Measure phases, introduces data collection to quantify current situation, and leads up to statistical analysis by covering the basics of statistical methods to include descriptive statistics, probability, estimation and process characterization. Teaming and effective meeting materials are also presented because Six Sigma is a team based improvement methodology. The first week covers the following topics:
Comments: This is the first week of a 4 week series of Black Belt training. The 4 week series is sequentially cumulative, therefore there is an implied pre-requisite structure to the 4 weeks of instruction. The 4 weeks of this series are conducted at 3 to 4 week intervals.
Requirements: Computers for participants (individual or shared) is required, and MVPstats (free training/demo version) is required for this course.
Description: This is the first of 4 weeks of Black Belt training. The first week presents the participants with the perspective of the organization's Six Sigma Initiative, it outlines the Six Sigma improvement methodology (DMAIC-Define, Measure, Analyze, Improve, Control), and how projects are identified, launched and brought to successful completion. Week 1 also focuses specifically on the Define and Measure phases, introduces data collection to quantify current situation, and leads up to statistical analysis by covering the basics of statistical methods to include descriptive statistics, probability, estimation and process characterization. Teaming and effective meeting materials are also presented because Six Sigma is a team based improvement methodology. The first week covers the following topics:
- What is Six Sigma?
- Drivers of Business Performance
- Effective Teaming
- The DMAIC (Define, Measure, Analyze, Improve, and Control) Improvement Methodology
- The Measurement Process and Using Data Effectively
- Define and Measure Phase of DMAIC
- Introduction to Statistical Methods
- Simple Probability
- Probability Distributions
- Estimation
- Process Variation
- Measurement Systems Analysis
- Process Characterization
Comments: This is the first week of a 4 week series of Black Belt training. The 4 week series is sequentially cumulative, therefore there is an implied pre-requisite structure to the 4 weeks of instruction. The 4 weeks of this series are conducted at 3 to 4 week intervals.
Requirements: Computers for participants (individual or shared) is required, and MVPstats (free training/demo version) is required for this course.
13. Six Sigma Black Belt II
Course Duration: 1 Week
Description: Week II focuses on the Analyze phase of the DMAIC improvement methodology emphasizing problems analysis, problem solving principles, causation, and causal analysis using statistical methods primarily involving One and Two Group statistical methods of (causal) analysis. The content material covers the following topics:
Comments: This is the second week of a 4 week series of Black Belt training. The 4 week series is sequentially cumulative, therefore there is an implied pre-requisite structure to the 4 weeks of instruction.
Requirements: Same as for week I of the series.
Description: Week II focuses on the Analyze phase of the DMAIC improvement methodology emphasizing problems analysis, problem solving principles, causation, and causal analysis using statistical methods primarily involving One and Two Group statistical methods of (causal) analysis. The content material covers the following topics:
- Analyze Phase of DMAIC
- The Scientific Method
- Problems and Causes
- Introduction to Hypothesis Testing
- Sample Size Calculations
- One-sample Hypothesis Tests
- Correlation and Regression
- Two Independent Sample Hypothesis Tests
- Two Dependent Sample Hypothesis Tests
- Foundations of Experimental Design
Comments: This is the second week of a 4 week series of Black Belt training. The 4 week series is sequentially cumulative, therefore there is an implied pre-requisite structure to the 4 weeks of instruction.
Requirements: Same as for week I of the series.
14. Six Sigma Black Belt III
Course Duration: 1 Week
Description: This week focuses on the Improve phase of DMAIC. In this section, the issue of countermeasures and corrective action, based on verified data is addressed. Experimental design principles are introduced as a prime method of countermeasure verification. Analysis of Variance Models are covered as well as Screening Experimental Designs to include Confirmation studies. Material content this week covers the following topics:
Comments: This is the third week of the 4 week series of Black Belt training.
Requirements: Computers for participants (individual or shared) is required, and higher level software (Minitab) is required.
Description: This week focuses on the Improve phase of DMAIC. In this section, the issue of countermeasures and corrective action, based on verified data is addressed. Experimental design principles are introduced as a prime method of countermeasure verification. Analysis of Variance Models are covered as well as Screening Experimental Designs to include Confirmation studies. Material content this week covers the following topics:
- Improve Phase of DMAIC
- Two-way ANOVA Models
- Three-way and Higher ANOVA Models
- Fractional Experimental Designs
- Confirmation Experiments
Comments: This is the third week of the 4 week series of Black Belt training.
Requirements: Computers for participants (individual or shared) is required, and higher level software (Minitab) is required.
15. Six Sigma Black Belt IV
Course Duration: 1 Week
Description: In the final week of the Black Belt Training, emphasis is placed on the Control phase of the improvement process. The tools presented here are SPC, Prevention Planning and Analysis, Process Performance Analysis, Mistake-proofing, Automatic Control Systems, Standardization and Reliability Methods as well as guidance on maintaining improved levels of process performance. This week's content material follows:
Comments: This is the fourth and final week of a 4 week series of Black Belt training.
Requirements: Computers for participants (individual or shared) is required with previously used software available.
Description: In the final week of the Black Belt Training, emphasis is placed on the Control phase of the improvement process. The tools presented here are SPC, Prevention Planning and Analysis, Process Performance Analysis, Mistake-proofing, Automatic Control Systems, Standardization and Reliability Methods as well as guidance on maintaining improved levels of process performance. This week's content material follows:
- Control Phase of DMAIC
- Prevention Planning and Analysis
- Statistical Process Control Chart Methods
- Process Performance Analysis
- Principles of Robust Product and Process Design
- Mistake-proofing
- Introduction to Automatic Control Systems
- Principles of Standardization
- Reliability Methods
- Black Belt Project
Comments: This is the fourth and final week of a 4 week series of Black Belt training.
Requirements: Computers for participants (individual or shared) is required with previously used software available.
16. Six Sigma Green Belt
Course Duration: 2 Weeks
Description: This course is typically tailored to the particular client and the client's implementation of Six Sigma. The Green Belt training is focused on providing basic information on the Six Sigma Methodology and basic problem solving tools so the participants can be constructive contributing members of Six Sigma Improvement Teams. The content can be developed to stress technical/statistical tools, or general improvement philosophy and basic tools as appropriate, and consistent with client requirements.
Comments: This course is tailored to the clients particular needs and implementation of Six Sigma. The development of the content can embrace Lean principles (Lean Process Improvement) and can also focus on Service (Transactional) concepts. This course is conducted during two separate weeks, usually 4 weeks apart.
Requirements: Computers for participants (individual or shared) is required, and MVPstats (free training/demo version) is required for this course when the emphasis is technical/statistical per client consultation and requirements.
Description: This course is typically tailored to the particular client and the client's implementation of Six Sigma. The Green Belt training is focused on providing basic information on the Six Sigma Methodology and basic problem solving tools so the participants can be constructive contributing members of Six Sigma Improvement Teams. The content can be developed to stress technical/statistical tools, or general improvement philosophy and basic tools as appropriate, and consistent with client requirements.
Comments: This course is tailored to the clients particular needs and implementation of Six Sigma. The development of the content can embrace Lean principles (Lean Process Improvement) and can also focus on Service (Transactional) concepts. This course is conducted during two separate weeks, usually 4 weeks apart.
Requirements: Computers for participants (individual or shared) is required, and MVPstats (free training/demo version) is required for this course when the emphasis is technical/statistical per client consultation and requirements.
17. Design for Six Sigma
Course Duration: 1 Week
Description: Description to be provided
Comments: TBD
Requirements: TBD
Description: Description to be provided
Comments: TBD
Requirements: TBD
18. Lean Process Improvement
Course Duration: 1 Day
Description: This course introduces the basic tools associated with a Lean Process Improvement Blitz (called Kaikaku) which focuses on the elimination of Waste and all Non-Value Added activity prior to process improvement and/or optimization. It also introduces the most basic of lean tools used for increasing Speed, and Flow and reducing Waste. Material presented in this 1-day session can be used immediately and the benefits can be documented within a matter of days or weeks.
Comments: This course is tailored to the clients particular needs and implementation of Six Sigma. The development of the content can embrace Lean principles (Lean Process Improvement) and can also focus on Service (Transactional) concepts. This course is conducted during two separate weeks, usually 4 weeks apart.
Requirements: There are no extra requirements for this course.
Description: This course introduces the basic tools associated with a Lean Process Improvement Blitz (called Kaikaku) which focuses on the elimination of Waste and all Non-Value Added activity prior to process improvement and/or optimization. It also introduces the most basic of lean tools used for increasing Speed, and Flow and reducing Waste. Material presented in this 1-day session can be used immediately and the benefits can be documented within a matter of days or weeks.
Comments: This course is tailored to the clients particular needs and implementation of Six Sigma. The development of the content can embrace Lean principles (Lean Process Improvement) and can also focus on Service (Transactional) concepts. This course is conducted during two separate weeks, usually 4 weeks apart.
Requirements: There are no extra requirements for this course.
19. Lean Six Sigma
Course Duration: 1 Week
Description: Description to be provided
Comments: TBD
Requirements: TBD
Description: Description to be provided
Comments: TBD
Requirements: TBD
Experimental Design, Research Methods and Advanced Tools
20. Experimental Design (DOE) Level I
Course Duration: 1 Week
Description: This course is the first in a 5 week series of an extremely comprehensive seminar series in Experimental Design. The series begins from zero and progresses in the 5th week to advanced fractional factorial (Taguchi) screening experimental designs. The contents of this first week's course is available here.
Comments: This course is tailored to the clients particular needs and implementation of Six Sigma. The development of the content can embrace Lean principles (Lean Process Improvement) and can also focus on Service (Transactional) concepts.
Requirements: Computers for participants (individual or shared) is required, with MVPstats (free training/demo version) and Excel are required for this course.
Description: This course is the first in a 5 week series of an extremely comprehensive seminar series in Experimental Design. The series begins from zero and progresses in the 5th week to advanced fractional factorial (Taguchi) screening experimental designs. The contents of this first week's course is available here.
Comments: This course is tailored to the clients particular needs and implementation of Six Sigma. The development of the content can embrace Lean principles (Lean Process Improvement) and can also focus on Service (Transactional) concepts.
Requirements: Computers for participants (individual or shared) is required, with MVPstats (free training/demo version) and Excel are required for this course.
21. Experimental Design (DOE) Level II
Course Duration: 1 Week
Description: This is the second level (week) of the 5 week DOE series. Detailed information on the content of this class is available here.
Comments: This course is tailored to the clients particular needs and implementation of Six Sigma. The development of the content can embrace Lean principles (Lean Process Improvement) and can also focus on Service (Transactional) concepts.
Requirements: Computers for participants (individual or shared) is required, with MVPstats (free training/demo version) and Excel are required for this course.
Description: This is the second level (week) of the 5 week DOE series. Detailed information on the content of this class is available here.
Comments: This course is tailored to the clients particular needs and implementation of Six Sigma. The development of the content can embrace Lean principles (Lean Process Improvement) and can also focus on Service (Transactional) concepts.
Requirements: Computers for participants (individual or shared) is required, with MVPstats (free training/demo version) and Excel are required for this course.
22. Experimental Design (DOE) Level III
Course Duration: 2 Weeks
Description: This course is typically tailored to the particular client and the client's implementation of Six Sigma. The Green Belt training is focused on providing basic information on the Six Sigma Methodology and basic problem solving tools so the participants can be constructive contributing members of Six Sigma Improvement Teams. The content can be developed to stress technical/statistical tools, or general improvement philosophy and basic tools as appropriate, and consistent with client requirements. Detailed information on the content of this class is available here.
Comments: This course is tailored to the clients particular needs and implementation of Six Sigma. The development of the content can embrace Lean principles (Lean Process Improvement) and can also focus on Service (Transactional) concepts.
Requirements: Computers for participants (individual or shared) is required, and MVPstats (free training/demo version) and an advanced statistical analysis package (e.g., Minitab or SPSS) is required for this course.
Description: This course is typically tailored to the particular client and the client's implementation of Six Sigma. The Green Belt training is focused on providing basic information on the Six Sigma Methodology and basic problem solving tools so the participants can be constructive contributing members of Six Sigma Improvement Teams. The content can be developed to stress technical/statistical tools, or general improvement philosophy and basic tools as appropriate, and consistent with client requirements. Detailed information on the content of this class is available here.
Comments: This course is tailored to the clients particular needs and implementation of Six Sigma. The development of the content can embrace Lean principles (Lean Process Improvement) and can also focus on Service (Transactional) concepts.
Requirements: Computers for participants (individual or shared) is required, and MVPstats (free training/demo version) and an advanced statistical analysis package (e.g., Minitab or SPSS) is required for this course.
23. Experimental Design (DOE) Level IV
Course Duration: 1 Week
Description: This course is typically tailored to the particular client and the client's implementation of Six Sigma. The Green Belt training is focused on providing basic information on the Six Sigma Methodology and basic problem solving tools so the participants can be constructive contributing members of Six Sigma Improvement Teams. The content can be developed to stress technical/statistical tools, or general improvement philosophy and basic tools as appropriate, and consistent with client requirements. Detailed information on the content of this class is available here.
Comments: This course is tailored to the clients particular needs and implementation of Six Sigma. The development of the content can embrace Lean principles (Lean Process Improvement) and can also focus on Service (Transactional) concepts.
Requirements: Computers for participants (individual or shared) is required, and MVPstats (free training/demo version) and an advanced statistical analysis package (e.g., Minitab or SPSS) is required for this course when the emphasis is technical/statistical per client consultation and requirements.
Description: This course is typically tailored to the particular client and the client's implementation of Six Sigma. The Green Belt training is focused on providing basic information on the Six Sigma Methodology and basic problem solving tools so the participants can be constructive contributing members of Six Sigma Improvement Teams. The content can be developed to stress technical/statistical tools, or general improvement philosophy and basic tools as appropriate, and consistent with client requirements. Detailed information on the content of this class is available here.
Comments: This course is tailored to the clients particular needs and implementation of Six Sigma. The development of the content can embrace Lean principles (Lean Process Improvement) and can also focus on Service (Transactional) concepts.
Requirements: Computers for participants (individual or shared) is required, and MVPstats (free training/demo version) and an advanced statistical analysis package (e.g., Minitab or SPSS) is required for this course when the emphasis is technical/statistical per client consultation and requirements.
24. Foundations of Research and Experimental Design
Course Duration: 2 Days
Description: This course provides detailed information on designing and conducting effective research and experimental studies. It covers the numerous threats to the validity of a research study and how to design studies that provide immunity to these threats.
Comments: The content of this course is integrated into the DOE Level III course when the entire 5 week DOE Series is taken. This course is a stand alone course that is ideal for engineers and technicians to learn the intricacies of proper research design which will permit research questions to be answered through the collection and analysis of data.
Requirements: Computers are not necessary for use by participants in this course. However, computer examples and output are used in the course.
Description: This course provides detailed information on designing and conducting effective research and experimental studies. It covers the numerous threats to the validity of a research study and how to design studies that provide immunity to these threats.
Comments: The content of this course is integrated into the DOE Level III course when the entire 5 week DOE Series is taken. This course is a stand alone course that is ideal for engineers and technicians to learn the intricacies of proper research design which will permit research questions to be answered through the collection and analysis of data.
Requirements: Computers are not necessary for use by participants in this course. However, computer examples and output are used in the course.
25. Measurement Systems Analysis (Nominal Data)
Course Duration: 3 1/2 Days
Description: (when participants use computers. Trial version software will be provided free for use during training.) This course specifically covers the details of measurement systems analysis for two-outcome (pass-fail, go-no go, good-bad) or multiple unordered category assessments. Specifically, the course
Comments: The content of this course is intermediate in difficulty, the computational requirements are all but over whelming, but the analysis is made apprehensible by the use of specially designed computational routines integrated into MVPstats. This software is provided free for training. Analyzing the results of this kind of study is not at all practical without the aid of pre-written computational programs. We provide these programs free for the duration of the training. Numerous examples of increasing complexity to match "real world conditions" are presented in the class.
Requirements: Computers are required for use by participants in this course. A trial version of the software, MVPstats will be provided free for use during training. In addition, Excel spread sheets with ancillary computational routines are provided and used.
Description: (when participants use computers. Trial version software will be provided free for use during training.) This course specifically covers the details of measurement systems analysis for two-outcome (pass-fail, go-no go, good-bad) or multiple unordered category assessments. Specifically, the course
- Provides a full description of Nominal Data measurement systems and ties those concepts to Basic Measurement Systems Analysis
- Presents the methods for data collection and analysis of Nominal Data Measurement Systems involving 1 or multiple instruments, or persons, making 1 or multiple assessments. (Increasing levels of complexity are covered to match business realities.)
- Guidelines (performance criteria) are provided for measurement system assessment for "Repeatability" (Internal Consistency), "Reproducibility" (Concordance), and "Accuracy" (Concordance with a Standard) as in basic Measurement Systems Studies
Comments: The content of this course is intermediate in difficulty, the computational requirements are all but over whelming, but the analysis is made apprehensible by the use of specially designed computational routines integrated into MVPstats. This software is provided free for training. Analyzing the results of this kind of study is not at all practical without the aid of pre-written computational programs. We provide these programs free for the duration of the training. Numerous examples of increasing complexity to match "real world conditions" are presented in the class.
Requirements: Computers are required for use by participants in this course. A trial version of the software, MVPstats will be provided free for use during training. In addition, Excel spread sheets with ancillary computational routines are provided and used.
Executive and Managerial Courses
26. Understanding Variation
Course Duration: 3 Days
Description: This is a basic course having to do with the importance of collecting and properly analyzing data for business decision making. There is a plethora of examples in the class that serve as the basis for the instruction. Although participants are not required to use computers in this course, but numerous computer examples are provided by the instructor. The primary emphasis in this course is to understand that not every quantifiable "difference" in performance can or should be attributed to a unique (special, identifiable) cause, and that because there is a "logical" event that occurs coincident to an undesirable, quantifiable event, that is not sufficient to permit one to proclaim the event is the cause of the observable, undesirable event. In this regard there is considerable focus on the proper collection, presentation, and interpretation of data. The concept that there is "natural or random" variation in all processes and data sets is a central concept in the course. In the course, the participant learns how to use basic graphic tools (histograms and time series graphs: run charts and individuals control charts) and fundamental statistical computations (centrality, dispersion, and appropriate probability distribution models) to quantify and interpret data and the inherent variation present in all data. In addition, instruction and guidance is provided concerning the (appropriate) actions that should be taken, and guidelines for not reacting to events that appear to have "assignable" as opposed to "random" causes.
Comments: The information in the course provides a sound basis for data-based decision making. The importance of not taking action that results in injecting variability into a process by reacting to all instances of variation in data is dramatized. And, the importance of validating and properly reacting to identifiable causes is similarly dramatized. One learns the important principle that events that may be superficially connected to a quantitative event are not necessarily the cause and that action taken on these "connected" events will not likely result in a favorable outcome in the future. This course focuses on concepts and interpretation rather on statistical calculations.
Requirements: There are no special requirements for this course.
Description: This is a basic course having to do with the importance of collecting and properly analyzing data for business decision making. There is a plethora of examples in the class that serve as the basis for the instruction. Although participants are not required to use computers in this course, but numerous computer examples are provided by the instructor. The primary emphasis in this course is to understand that not every quantifiable "difference" in performance can or should be attributed to a unique (special, identifiable) cause, and that because there is a "logical" event that occurs coincident to an undesirable, quantifiable event, that is not sufficient to permit one to proclaim the event is the cause of the observable, undesirable event. In this regard there is considerable focus on the proper collection, presentation, and interpretation of data. The concept that there is "natural or random" variation in all processes and data sets is a central concept in the course. In the course, the participant learns how to use basic graphic tools (histograms and time series graphs: run charts and individuals control charts) and fundamental statistical computations (centrality, dispersion, and appropriate probability distribution models) to quantify and interpret data and the inherent variation present in all data. In addition, instruction and guidance is provided concerning the (appropriate) actions that should be taken, and guidelines for not reacting to events that appear to have "assignable" as opposed to "random" causes.
Comments: The information in the course provides a sound basis for data-based decision making. The importance of not taking action that results in injecting variability into a process by reacting to all instances of variation in data is dramatized. And, the importance of validating and properly reacting to identifiable causes is similarly dramatized. One learns the important principle that events that may be superficially connected to a quantitative event are not necessarily the cause and that action taken on these "connected" events will not likely result in a favorable outcome in the future. This course focuses on concepts and interpretation rather on statistical calculations.
Requirements: There are no special requirements for this course.
27. Statistical Methods for Managers
Course Duration: 1 week
Description: This course provides individuals in decision-making positions with a basic understanding of data collection and description, inferences about processes and populations based upon sample data, and the design or appropriate research studies. Emphasis in this course is placed on the understanding of statistical methods and concepts as well as the uses and importance of these methods. The interpretation of the results of statistical analyses are explored in depth. Special emphasis is placed on the design of research studies to include risk (Type I and II errors), sample sizes, the implications of the use of discrete versus continuous data, sampling techniques, and their relationship to the conduct of reliable and valid research studies. The foundation of probability in data-based decision making and statistical analysis is also included.
Comments: This course is very similar in content to the DOE Level I course. The emphasis, however, is on understanding the statistical basis for managerial decision making.
Requirements: Computers for participants (individual or shared) is required, with MVPstats (free training/demo version) and Excel are required for this course.
Description: This course provides individuals in decision-making positions with a basic understanding of data collection and description, inferences about processes and populations based upon sample data, and the design or appropriate research studies. Emphasis in this course is placed on the understanding of statistical methods and concepts as well as the uses and importance of these methods. The interpretation of the results of statistical analyses are explored in depth. Special emphasis is placed on the design of research studies to include risk (Type I and II errors), sample sizes, the implications of the use of discrete versus continuous data, sampling techniques, and their relationship to the conduct of reliable and valid research studies. The foundation of probability in data-based decision making and statistical analysis is also included.
Comments: This course is very similar in content to the DOE Level I course. The emphasis, however, is on understanding the statistical basis for managerial decision making.
Requirements: Computers for participants (individual or shared) is required, with MVPstats (free training/demo version) and Excel are required for this course.
28. Six Sigma Executive Overview
Course Duration: 6 Hours
Description: This course presents an overview intended for Executives, senior managers and organizational leaders, and provides a description of the Business Improvement Methodology known as Six Sigma. It provides details on the nature of Six Sigma, its benefits, what it entails, and outlines issues associated with the implementation of a company-wide Six Sigma Initiative. A Content Summary follows:
Comments: This overview is important in providing a description and road map for the implementation of a Six Sigma initiative. Its content is engaging and thought provoking.
Requirements: Everyone who plans to attend this overview should be attendance for the entire 6 hour session.
Description: This course presents an overview intended for Executives, senior managers and organizational leaders, and provides a description of the Business Improvement Methodology known as Six Sigma. It provides details on the nature of Six Sigma, its benefits, what it entails, and outlines issues associated with the implementation of a company-wide Six Sigma Initiative. A Content Summary follows:
- Six Sigma Explained and Potential Results
- Historical Development of Six Sigma
- What's Old and What's New
- Common Mistakes and Pitfalls
- Implementation Strategy
- Training Requirements
- Numerous Case Studies
Comments: This overview is important in providing a description and road map for the implementation of a Six Sigma initiative. Its content is engaging and thought provoking.
Requirements: Everyone who plans to attend this overview should be attendance for the entire 6 hour session.
29. Overview of Total Quality Management
Course Duration: 8 Hours
Description: This course provides middle and upper level managers and supervisors (aw well as general organizational employeees) with an overview of Total Quality Management. The fundamental principles of quality are presented along with an integrated TQM model developed by Dr. Jeffrey Luftig which outlines internal (business) driven improvement activities integrated with external (customer) driven requirements. Tools and methodologies for achieving profitable performance are presented and a team-oriented problem solving business culture are emphasized. Finally, implementation guidelines and recommendations are provided.
Comments: Although TQM is not currently in vogue, this course on TQM introduces the principles of Quality management and improvement. As such, this course is ideal for all individuals in an organization, and is fundamental to establishing in an organization a cultural change toward quality and profitability.
Requirements: There are no special requirements for this course.
Description: This course provides middle and upper level managers and supervisors (aw well as general organizational employeees) with an overview of Total Quality Management. The fundamental principles of quality are presented along with an integrated TQM model developed by Dr. Jeffrey Luftig which outlines internal (business) driven improvement activities integrated with external (customer) driven requirements. Tools and methodologies for achieving profitable performance are presented and a team-oriented problem solving business culture are emphasized. Finally, implementation guidelines and recommendations are provided.
Comments: Although TQM is not currently in vogue, this course on TQM introduces the principles of Quality management and improvement. As such, this course is ideal for all individuals in an organization, and is fundamental to establishing in an organization a cultural change toward quality and profitability.
Requirements: There are no special requirements for this course.
Adjunct Courses
30. Reliability Methods for Processes and Equipment
Course Duration: 1 Week
Description: This seminar provides all levels of engineering and manufacturing personnel with an understanding of reliability principles and how they can make productive use of the discipline and related tools to enhance product or proess reliability. Emphasis is placed on the planning for and the execution of process and equipment reliability improvements with an intensive review of the tools useful in making any reliability plan meet its stated objectives.
Comments: This course requires that the participants have had the equivalent of DOE Level I or Statistical Methods for Managers (see above).
Requirements: Computers are not needed for this course, but scientific calculators for manual computations are necessary.
Description: This seminar provides all levels of engineering and manufacturing personnel with an understanding of reliability principles and how they can make productive use of the discipline and related tools to enhance product or proess reliability. Emphasis is placed on the planning for and the execution of process and equipment reliability improvements with an intensive review of the tools useful in making any reliability plan meet its stated objectives.
Comments: This course requires that the participants have had the equivalent of DOE Level I or Statistical Methods for Managers (see above).
Requirements: Computers are not needed for this course, but scientific calculators for manual computations are necessary.
31. Excursion Analysis
Course Duration: 2 Days
Description: This seminar provides all levels of engineering and manufacturing personnel with an understanding of reliability principles and how they can make productive use of the discipline and related tools to enhance product or proess reliability. Emphasis is placed on the planning for and the execution of process and equipment reliability improvements with an intensive review of the tools useful in making any reliability plan meet its stated objectives.
Comments: This course requires that the partcipants have had the equivalent of DOE Level I or Statistical Methods for Managers (see above).
Requirements: Computers are not needed for this course, but scientific calculators for manual computations are necessary.
Description: This seminar provides all levels of engineering and manufacturing personnel with an understanding of reliability principles and how they can make productive use of the discipline and related tools to enhance product or proess reliability. Emphasis is placed on the planning for and the execution of process and equipment reliability improvements with an intensive review of the tools useful in making any reliability plan meet its stated objectives.
Comments: This course requires that the partcipants have had the equivalent of DOE Level I or Statistical Methods for Managers (see above).
Requirements: Computers are not needed for this course, but scientific calculators for manual computations are necessary.
32. Reliability Methods for Processes and Equipment
Course Duration: 1 week
Description: This seminar provides all levels of engineering and manufacturing personnel with an understanding of reliability principles and how they can make productive use of the discipline and related tools to enhance product or proess reliability. Emphasis is placed on the planning for and the execution of process and equipment reliability improvements with an intensive review of the tools useful in making any reliability plan meet its stated objectives.
Comments: This course requires that the participants have had the equivalent of DOE Level I or Statistical Methods for Managers (see above).
Requirements: Computers are not needed for this course, but scientific calculators for manual computations are necessary.
Description: This seminar provides all levels of engineering and manufacturing personnel with an understanding of reliability principles and how they can make productive use of the discipline and related tools to enhance product or proess reliability. Emphasis is placed on the planning for and the execution of process and equipment reliability improvements with an intensive review of the tools useful in making any reliability plan meet its stated objectives.
Comments: This course requires that the participants have had the equivalent of DOE Level I or Statistical Methods for Managers (see above).
Requirements: Computers are not needed for this course, but scientific calculators for manual computations are necessary.
