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Project Management, Six Sigma and Quality Engineering Training

Project Management

Six Sigma & DFSS

Robust Design & Taguchi DOE

Quality Improvement Tools
1.1 Project Management – Principles and Practices (PMP Certification Training, Open enrollment seminar  in Detroit area)

1.2 Project Management - Overview

1.3 Basic Tools for Quality Improvement

 

  

2.1 Six Sigma (Exec. Overview, Green Belt, Black Belt & Design for Six Sigma (DFSS) Training)

2.2 Customized DFSS Program

2.3 Lean Operations - Principles and Practices  (3 days)

 

 3.1 Robust Product and Process Designs (4-day public seminar in Detroit area,  - Brief Outline)
3.2 Robust Product and Process Designs - Onsite Training
3.3 Design of Experiments Using the Taguchi Approach (1 day Overview)
3.4 DOE – I Basic Design of Experiments (Taguchi Approach, 3 days)
3.5 DOE – II Advanced Experiment Designs for Robust Products and Processes (3 days)
3.6 Quality Loss Function  (2 days)
3.7 Production Problem Solving by Designed Experiments (2 days training)
3.8 Check out our RISK-FREE DOE application support plan		 4.1 TRIZ (The Theory of Inventive Problem Solving)
4.2 Strategy for Simultaneous Evaluation of Multiple Objectives (1day)
4.3 Basic Disciplines of Problem Solving  (1day)
4.4 Quality Operating System (Overview, 1 day)
4.5 Common Practices in Quantitative & Statistical Data Analysis (1 day)
4.6 Bolted Joints (Threaded Fasteners) – Design and Behavior (1 - 2 days)
4.7 Statistical Process Control (SPC, Management Overview, 1 day)
4.8 Reliability Test Planning and Evaluation (1 day Overview)
4.9 AS9100 Aerospace Quality System Standard Overview
4.10 Problem Solving by Designed Experiments - Application Consulting

Thank you for visiting our site. Should you want more information or have questions about your training and application support needs, please email us at Support@Nutek-us.com with your contact information and topics of interest.

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Course Descriptions

          Sem-DOET

Design of Experiments Using the Taguchi Approach

Module Summary   Design of Experiment (DOE) is a powerful statistical technique for improving product/process designs and solving production problems. A standardized version of DOE, as forwarded by Dr. Genichi Taguchi , allows one to easily learn and apply it in manufacturing and production problem investigations. Since its introduction in the U.S.A. in early 1980’s, the Taguchi approach of DOE has been a design optimization tool commonly used by engineers and scientific professionals by most industries.   (View, save, or print flyer) 
   

In this brief tutorial you will gain an understanding of the technique in layman’s term. A simple example experiment will be used to demonstrate the technique of experiment design and analysis of results. Advance concepts in Taguchi approach and complex analysis tasks will also be demonstrated by use of computer software.

                This session will be helpful to managers, engineers, and other quality professionals who may be involved in quality improvement activities or otherwise responsible for such skill building decisions. Upon completion, the attendees develop an understanding of the applicability of the technique and are expected to learn how to setup smaller experiments and quickly investigate their own applications.

 

  

Discussion Topics 

  • Overview-  concepts of quality engineering

  • Measuring cost of quality by Loss Function

  • Review basic concepts in experimental design

  • Project objective Evaluation Criteria

  • Experiments designed using orthogonal arrays

  • Experiments to study interaction

  • Basic analysis and strategy for experimentation

  • Strategy for Robust Designs

  • New attitude toward uncontrollable factors

  • Outer array for robust design

  • Demonstration of Experiment Design and Analysis using Software (Qualitek-4)

 

 
Who Should Attend   Product/Process Design Engineer, R&D Scientists, or QA Personnel, Manufacturing. Manager, Director or Senior Engineer (who wish to lead, teach, and introduce this technique within your organization), Instructor in academic institution, Consultant and Trainer (who wish to help their clients work with interdisciplinary teams and optimize product designs and solve production problems)
 
Deliverables   This overview session will offer you an overview of the Taguchi experimental design approach for robust product and process designs. The goal is to make you knowledgeable about the technique so that you may decide whether it is a technique that you may desire and who in your activity might benefit such skills.  Attendees will receive brief seminar presentation materials.
 
Prerequisites   There is no minimum educational background requirement for this seminar.  However, two or more years of college education in any field of science or engineering are helpful. 

Program Length		  
1 Day Overview

 

Sem-PPDT

Robust Product and Process Designs (The Taguchi Approach)      Click here for public seminar in Detroit area.

Module Summary   Course Overview
      Robustness is an essential characteristic for dependable performance. Robust products and processes perform reliably with minimum variation due to uncontrollable factors. Naturally, to assure consistent performance, the designs must be robust.
     Dollar for dollar, the return on investment is the most when design improvement efforts are directed toward the development activities. One of the effective ways to reduce variation in performance that potentially results in reduced rework and rejects downstream, is to use the standardized version the Design of Experiment (DOE) technique proposed by Dr. Genechi Taguchi. This approach allows scientific professional to easily learn and apply the DOE technique in their own development and production projects. Today, robust design technique is considered a necessary effort for building quality into products and processes of all kinds.
     In this seminar Dr. Roy will take you through the basic steps in the Taguchi approach for robust product and process designs.  Participants are required to solve numerous hands-on exercise to learn how to apply the technique immediately in their own projects. The course discussions cover topics such as PLANNING, EXPERIMENT DESIGN, ROBUST DESIGN strategy and LOSS FUNCTION in details. Discussions of theories and statistical computations are kept to a minimum.
    By completing this course, the attendees are able to apply the robust design technique in their own projects to (1) Optimizing product/process designs, and (2) Solve production problems.       (View, save, or print flyer) 
 

Topics of Discussion

DAY 1

  • Overview-  concepts of quality engineering

  • New Definition of Quality

  • Loss to the society from poor quality

  • Standardized technique

  • Measuring cost of quality by Loss Function

  • Review basic concepts in experimental design

  • Types of factors and levels

  • Common experiment designs

  • Orthogonal array vs. one-factor-at-a-time experiments

  • Project objective Evaluation Criteria

  • Need for combining multiple evaluation criteria into a single index

  • Experiments designed using orthogonal arrays

  • Experiments with all factors at one level

  • Experiments mixed level factors

  • Experiments to study interaction

  • Trade off between factors and interactions

  • Test for presence of interactions

  • Test for relative influence of interaction

  • Basic analysis and strategy for experimentation

DAY 2

  • Experiments with mixed level factors

  • Upgrading 2-level columns into a 4-level array

  • Downgrading (dummy treatment) columns

  • 15 different experiments using an L-8 array

  • Combination Design (special design tool)

  • Strategy for Robust Designs

  • New attitude toward uncontrollable factors

  • Outer array for robust design

 

  

DAY 3

  • An overview of Systems with Dynamic     Response

  • Understanding dynamic systems

  • Analysis of Results

  • Main effect study for influence of factors

  • ANOVA for relative influence of factors

  • Performance at optimum condition

  • Confidence level and interval (C.I.)

  • Transformation of S/N data 

  • Brainstorming for experimental design

  • TEAM: the new disciplines in workplace

  • Order of discussions in planning session

  • Participants and facilitation of planning 

 DAY

  • Computation of savings from  LOSS FUNCTION

  • Reference and Application assistance

  • Project application guidelines

  • Design and analysis using computer  software

  • Group reviews and exercise

  • Computer Software (Qualitek-4)

  • Class project & presentation by the groups

 

 

 

 

 

 

 

 

 

 

 

 
Who Should Attend   Product/Process Design Engineer, R&D Scientists, or QA Personnel, Manufacturing. Manager, Director or Senior Engineer (who wish to lead, teach, and introduce this technique within your organization), Instructor in academic institution, Consultant and Trainer (who wish to help their clients work with interdisciplinary teams and optimize product designs and solve production problems)
 
Deliverables   This 4-day seminar will prepare you for immediate applications. The goal is to make you ready to apply the technique in your performance improvement and variation reduction projects. You will know how to plan, and lay out experiments.
 
Prerequisites   There is no minimum educational background requirement for this seminar.  However, two or more years of college education in any field of science or engineering are helpful. 

 

Program Length		  
4 days                  Click here for more details about public seminar and onsite seminar.

 

Sem-PPST

Production Problem Solving by Designed Experiments - Application Consulting


Module Summary   Design of Experiments (DOE) is en effective tool to investigate problems suspected to be influenced by multiple variables. Our support services is designed to work with your project team to facilitate application of this technique from start to finish. Our consultant will work with your team leaders and internal quality champions to PLAN, DESIGN EXPERIMENTS, and ANALYSE RESULTS of the Taguchi experimental applied to solving engineering and production problems.  Use of this technique to study production and process related problems may be part of your Design For Six Sigma (DFSS) or other quality improvement disciplines. (Find out more)
 

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Background

When is a problem a PROBLEM? A vast majority of the “Problems” in the manufacturing floors are of two kinds. The first situation is where nobody seems to have an answer. And the other kind is where everyone claims to have an idea, but none seem to work as a permanent solution. So, how do you attack such problems? Solutions based on opinion or past experience may not cure the problem and you don’t seem to have time to take a close look at the problem. What you need is a structured and objective approach. Use of Design of Experiments can help you create such a structured and economical strategy. Participants in such application discussions learn how to handle production and manufacturing problems permanently with minimum time in experimenting.

 

Our comprehensive support includes the following services:

  • Work with your project team and facilitate planning session for experimental investigation.

  • Lay out test plans and describe how to collect test results

  • Analyze results of experiments and identify the most desirable design condition (optimum).
Who Should Beneft   Problem solving teams composed of Product/Process Design Engineer, R&D Scientists, production, and QA Personnel, Manager, Director or Senior Engineer and technicians who wish to lead teams for investigation of engineering and production problems, would benefit from this course.
 
Deliverables   Our consulting support will help project teams successfully apply the experimental design technique to investigate and solve production problems. It will help you make decision based on experimental data. You will demonstrate how common experiments are set up for problem investigations and how analysis of test results yields lasting solutions to many of the chronic production and process problems.
 
Prerequisites    You should contact us when you are ready to (a) identify project, (b) form team, and (c) appoint team leader.

Program Length		   2 -5  days   Click here for more details about our consulting services.  Paper on Problem_Solving

 

Sem-DOEI

DOE –I Basic Design of Experiments (Taguchi Robust Designs)


Module Summary   Design of Experiment (DOE) is a powerful statistical technique for improving product/process designs and solving production problems. A standardized version of DOE, as forwarded by Dr. Genichi Taguchi, allows one to easily learn and apply it in manufacturing and production problem investigations. Since its introduction in the U.S.A. in early 1980’s, the Taguchi approach of DOE has been a design optimization tool in the hands of the engineering and scientific professionals. This seminar helps you acquire application skills necessary for design optimization under Design For Six Sigma (DFSS) disciplines.        (View, save, or print flyer)
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Topics of Discussion

 

  

 

 

 

 

 

 
Who Should Attend   Product/Process Design Engineer, R&D Scientists, or QA Personnel, Manufacturing. Manager, Plant Managers and Production technicians.
 
Deliverables   This session will prepare you for immediate applications of common type of experimental designs your own projects. You will learn how to plan, and lay out experiments.
 
Prerequisites   There is no minimum educational background requirement for this seminar.

 

Program Length		  
3 days

 

Sem-DOE-II

DOE –II  Advanced Experiment Designs for Robust Products and Processes (Taguchi Robust Designs)


Module Summary   This seminar with hands-on application workshop prepares attendees for immediate applications of the Taguchi experimental design technique for product and process improvement. This seminar helps you acquire advanced application skills necessary for design optimization under Design For Six Sigma (DFSS) disciplines.   (View, save, or print flyer)
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Topics of Discussion

  • ·         Robust Designs Overview - The Taguchi Approach

  • ·         Review basic Taguchi experimental design

  • -          Experiments with mixed level factors

  • -          Upgrading  & Downgrading columns

  • -          Outer Array Designs with Noise Factors

  • ·         Robust design strategy

  • ·         Outer array designs & Analysis using

  • ·         Static and Dynamic Characteristics

  • ·         Process representation of the system

  • -       Ideal function & Objective characteristics (Beta, Sigma, and S/N)

  • ·         Experimental setup

  • ·         Analysis of results: Two Step Optimization Strategy

  • ·         Signal-to-Noise ratios

  • ·         Analysis of Variance (ANOVA)

  • ·      Sample calculations of ANOVA statistics

  • ·      Test of significance &  Pooling Technique

  • ·      Confidence Intervals & Key Issues

  • ·         Loss Function

  • -       Rationale & computation

  • -       Interrelationships:MSD, S/N, Cpk and Loss

  • ·         Application Workshop using Qualitek-4 Software

  • ·         Experiment Planning, Designs & Analysis tasks

  • ·         Group project presentations

 

 		 

 
Who Should Attend   Product/Process Design Engineer, R&D Scientists, or QA Personnel, Manufacturing. Manager, Director or Senior Engineer (who wish to lead, teach, and introduce this technique within your organization)
 
Deliverables   This seminar with application workshop will prepare you for immediate applications of the Taguchi approach for designing robust products and processes. The goal is to make you ready to apply the technique in your performance improvement and variation reduction projects. You will know how to plan, and lay out experiments.
 
Prerequisites   Four years of college education in any field of science or engineering is required. Have taken DOE-I within last two years.

 

Program Length		  
 3 days

 

Sem-OECS

Strategy for Simultaneous Evaluation of Multiple Objectives


Module Summary   The need for simultaneous evaluation arises when there are more than one objective that a product or process is expected to satisfy. This session is intended for experienced experimenters interested in designing experiments to optimize multiple objectives simultaneously.   (View, save, or print flyer)

 
   

When the performance of a product or process under study is evaluated by different criteria of evaluations, it is possible to combine them into a single index for analysis of overall performance. This session will show you a scheme of handling evaluations of multiple objectives together by combining it into a single number called the Overall Evaluation Criteria (OEC). The OEC capability of Qualitek-4 software is used to combine and calculate the

single index before analyzing the results.  You should consider attending this session, if your products or processes have multiple objectives and you are looking toward planning experiments to evaluate the results and determine design specifications based on the overall performance.  

 

  

Course Content 

 

  1. Introduction

  2. Situations and needs for simultaneous evaluations

  3. Technical difficulties and challenges in engineering practices

  4. Single index formulation – an overall evaluation criterion

  5. Example calculations

  6. Application areas

  7. References

 
Who Should Attend   Product/Process Design Engineer, R&D Scientists, or QA Personnel, Manufacturing. Manager, Director or Senior
 
Deliverables   Prepares attendees for data reduction with a technique that allows weighted scheme to satisfy multiple objectives. Attendees learn to apply such model to their own analytical and  experimental studies. Attendees receive brief seminar presentation materials.
 
Prerequisites   Two or more years of college education in any field of science or engineering are helpful. 

 

Program Length		  
 1 day                                     Click here for more details about OEC.

 

Sem-LOSS

Quality Loss Function


Module Summary   This seminar with application workshop offers attendees’ opportunities to become proficient in manipulating and quantifying product and process design improvements in terms of dollars. Savings expected from potential variation reductions (in warranty and rejects) are calculated using cost model proposed by Dr. Genechi Taguchi.  (View, save, or print flyer)

 
 

Background

Evaluating and establishing improvements we achieve in performance, cost or quality is common tasks we perform at end of a project completion. Generally, we also express such improvements achieved in terms of percentage of the current level of performance. However, when asked to quantify the same improvement in terms of dollars we seem to have difficult time. Fortunately, the Loss Function formulation proposed by Dr. Genechi Taguchi allows us to translate the expected performance improvement in terms of savings expressed in dollars. Using the Loss Function concept, the expected savings from the improvement in quality, i.e., reduced variation in performance around the target can be easily transformed into cost.  

 

 Discussion Topics 

  • COMPUTATION OF SAVINGS FROM CHANGES IN
    •

  •  S/N ratio

  •  Mean Squared Deviation (MSD)

  •  Std. Deviation and Average Value

  • RELATIONSHIPS BETWEEN LOSS AND PROCESS         
  • CAPABILITY (Cpk)
  • GENERAL APPLICATION EXAMPLES
  • APPLICATION TO ACTUAL PROJECTS

 
Who Should Attend   Experienced DOE/Taguchi practitioners in Product/Process Design Engineer, R&D Scientists, or QA Personnel, Manufacturing. Manager, Director or Senior Engineer, Instructor in academic institution, Consultant and Trainers
 
Deliverables   By completing this session you will acquire the necessary confidence to carry out mathematical computations for converting performance improvement into dollar savings. Attendees will receive seminar presentation materials.
 
Prerequisites   Attendees must have working knowledge of the Taguchi experimental design technique. Completion of Taguchi Approach seminar is desirable.  A college degree in science or engineering is helpful

 

Program Length		  
2 days

 

Sem-PS8D

Basic Disciplines of Problem Solving


Module Summary   Problems in business and industry occur in numerous nature and complexities. Sub-quality parts produce by operator, machine, and equipment create one type of problem. In other situations, the problem may be related to timeliness of delivery and missing information or merchandise. While each problem has its specific solution, and no two solutions are alike, there are a few basic action steps, as described in this session, that all problem solving effort seem to have in common.    (View, save, or print flyer)
   

For their own continuous quality improvement (quality system requirements, QS-9000,  4.14.1) activities at all levels of engineering and manufacturing, in early 1990’s Ford Motor Company introduced a standardized set of steps to be followed in solving problems by quality improvement teams within the company. These eight step process of problem solving is known as 8D (Eight disciplines)* and is by far the common disciplines used and accepted by most industries today. It is the basis for all subsequent problem solving technique developments such as 6D, 7D, 9D and 10D.

This short session will present detailed discussions of the basic disciplines involved in problem solving for all situations. This course will provide the participants the information required to complete an 8D problem solving process for the automotive manufacturers. In this session the participant will learn the 8D process and be ready to begin to use the discipline on actual problems in their own workplace. They will learn how to effectively use a team approach to problem solving. The disciplines prescribed offer the attendees a framework to utilize the experience and expertise in their own activity and implement permanent solutions to the problems encounter. 

 

Discussion Topics 

1. Form Team

2. Describe Problem 

3. Contain Problem 

4. Identify Root Causes 

5. Find Solutions 

6. Implement Permanent Solution

7. Establish Controls

8. Recognize Team

 

 

 
Who Should Attend   Product/Process Design Engineer, R&D Scientists, or QA Personnel, Manufacturing. Manager (who wish to lead, teach, and facilitate team activities)
 
Deliverables   Participants acquire a disciplined approach to work with teams and address issues in all activities of the organization.  Attendees will receive brief seminar presentation materials.
 
Prerequisites   There is no minimum educational background requirement for this seminar.

* 8D is a problem-solving methodology can be applied worldwide in industrial practice to improve the product development process. It is structured into eight disciplines that emphasize team synergy. The 8D process recognizes the team as a whole is better and smarter than the sum of the individuals.


Program Length		  
1 day

 

Sem-QOS1

Quality Operating System (QOS)


Module Summary   QOS is a valuable discipline developed in the late eighties for use in all levels of business activities by Ford Motor Company’s manufacturing, assembly and stamping plants. It is a set of very basic and general guidelines applicable to quality improvement efforts of products and services of all kinds. Outside Ford, the QOS discipline is also known as BOS (Business Operating System). Use of the QOS guidelines helps align company’s strategic goals, achieve planned objectives, and institute quality system for continuous improvement.   (View, save, or print flyer)
   

This brief session will provide an overview of Ford QOS requirements. Key information is provided about QOS. Basic elements of QOS processes like customer expectations, internal key processes, measurables for key processes, etc. are discussed in details. Attendees will have chance to apply the concepts in hypothetical business examples. By attending this session you will lean how to:

  • Identify customers and their expectations.
  • Identify key process elements that satisfy customer’s expectations.
  • Select measurable that can be used to quantitatively predict and monitor performance.
  • Apply structured problem solving (8D and/or DOE) approach by forming a QOS team when measured performance indicates a problem.

 

  

Discussion Topics 

  1. Introduction to QOS
  2. 6-Phase Model for QOS Methodology
  3. Customer Expectations
  4. Internal Key Processes and Events
  5. Measurables for Key Internal Processes
  6. Trends of Measurables
  7. Downstream Performances
  8. Course Reviews & Remarks
Who Should Attend   Managers, supervisors, and people at all levels involved in continuous improvement activities in the company.
 
Deliverables   Participants to this session are expected to learn the basic structure and methodology of Quality Operating System and be able to apply it in their own activities to better understand and satisfy the customer’s expectations. Attendees will receive brief seminar presentation materials.
 
Prerequisites   There are no specific prerequisites for this course. Knowledge of ISO/TS 16949:2002 is desirable, but not required. Familiarity with products and services and strategic issues facing the company is desirable

 

Program Length		  
1 day

 

Sem-QSDA

Common Practices in Quantitative & Statistical Data Analysis


Module Summary   Industry and businesses routinely collect information on product sales, customer services and market demands. Careful examination of such data can produce vital information for important business decisions. Simple statistical techniques like bar graphing, trend analysis, Pareto charting, histogram plotting, etc. can produce valuable information. (View, save, or print flyer)
 

The nature of exact calculation necessary, however, depends on the type of collected data and the perceived business value of the information it may contain. When possible, the data collection scheme should be designed such that desired information is readily obtainable.

This session covers common data analysis technique used by practitioners without much background in statistical science. The presentation is designed for attendees employed at all business activities and with or without a college education in science and technology.

 

  

Discussion Topics

  •  Introduction

  • Data Collection

  • Pareto Analysis

  • Cause-and Effect Diagram

  • Histogram

  • Time-History (X vs. Y) Plot

  •  Scatter Diagram

  •  Regression Analysis

  •   Performance Monitoring

  •  Control Charts for Process Performance Study

 
Who Should Attend   People at all level of service organization like hospital, governmental organization, transportation, etc. who deals with reduction, manipulation and presentation of customer satisfaction and performance data of any kind.
 
Deliverables   Develop an understanding of common practices in data analysis and presentations.  Attendees will receive brief seminar presentation materials.
 
Prerequisites   There is no minimum educational background requirement for this seminar.

 

Program Length		  
1 day

 

Sem-FAST

Design and Behavior of Bolted Joints


Module Summary   Threaded fasteners play an important role in building the end product. A typical automobile, for example, uses about 4000 nuts and bolts. Because a few of them once in a while would come loose, over half of the warranty dollars for the same automobile can be related to fasteners. (View, save, or print flyer)
   

Course Description

Modern buildings, vehicles, machinery, and physical products of all sizes and shapes are put together by joining smaller components with another. A vast majority among these is assembled with fasteners, as they need to come apart for potential repair, replacement, or maintenance. Simply put, a fastener is a screw, nut, bolt or stud with external or internal threads.

Why should you study fasteners? Approximately 200 billion fasteners are utilized by the industry each year. Many such fasteners play important roles in transportation, safety and comfort of our modern life. A typical automobile, for example, uses about 4000 nuts and bolts. Because a few of them once in a while would come loose, over half of the warranty dollars for the same automobile can be related to fasteners.

Discussion Topics

Course Overview

Fundamental Principles  (Force, Torque, Friction, etc.)

  • Forces in equilibrium, free-body diagram
  • Mechanical properties of materials      
  • Spring and stiffness properties 
  • Scatter Diagrams, etc.

 

  
Joint Design Considerations
  • Bolt Design and functional parameters (load requirements, friction, etc)
  • Torque, tension, and turn angle relations
  • Joint relaxation and loss of service loads

Assembly Challenges

  • Torque rate monitoring and analysis
  • Dynamic and static audit torque
  • Torque and tension measurements
  • Torque and tension variability
  • Tightening strategies for avoiding bolt tension

General Joint Design Strategies

Understanding and Preventing Corrosion

  • Coatings to combat corrosions
  • Mechanical failure of joints
  • Prevention of vibration loosening
  • Reducing fatigue failures

 

 
Who Should Attend   This seminar will be of interest to practicing design and manufacturing professionals who are involved in assembly of electro-mechanical hardware components of any size and shapes with fasteners of all kinds. Engineers and technicians in design and assembly operations would find the information presented in the session valuable in their professional activities.
 
Deliverables   Upon completion of this seminar, you will learn how to calculate forces in the fasteners and How to establish required torque and what torque to specify. Attendees receive a copy of the seminar handout.
 
Prerequisites   2-years of engineering/technical college education are desirable, but not necessary.

 

Program Length		  
1 or 2 day Overview

 

Sem-SPC1

Statistical Process Control (SPC)


Module Summary   Industrial production often involves mass production of the same part. For such parts to properly assemble and function in the final product, it is necessary to keep the variation in quality characteristic to a minimum. The variation in quality characteristics are caused mainly by two sources; known as common and special causes. Statistical process control (SPC) is used to study the process performance and understand sources of variation with the intention of making corrective actions to reduce variation.     (View, save, or print flyer)
   

This session covers the basic concepts of statistical analysis and their application to practical problems in process control. It will deal with such standard tools as histograms, X-bar and R charts, process capability studies and sampling plans. It is intended to help attendees decide if SPC will be helpful their activities and whether further training should be sought before applications. Attendees to this session learn how to use histograms, Pareto charts, scatter diagrams, etc. The primary focus of the course will be to help attendees develop a working level understanding of the normal distribution and how to construct control charts for variable and attribute data. The attendees are expected to gather understanding of how to use DOE results for SPC, calculate process capabilities, and learn how to communicate with design engineering in terms of process capabilities.

  

Key Topics of Discussions

  • Distribution Functions

  • Normal, Binomial, Exponential, logarithmic

  • Preparation

  • Areas of application

  •  Characteristics & special properties

  •  Capability Statistics

  • How to compare two populations

  • Capability indices (calculations and implications)

  • Statistical Process Control (SPC)

  • Purpose: Identify common and special causes 

  • Technique: Create standard and compare performance with it.

  • Use key properties of ND (Avg. & Std. Dev.)

  •  Calculate Std. Dev. Using arithmetic

  •  Create standard AVG. chart for stable performance

  •  Collect data and plot them

  • Use std. Guidelines for causes of variation

 
Who Should Attend   Quality Engineers, Process Engineers, Plant Managers, Operators or anyone looking to gain a better understanding of SPC.
 
Deliverables   Attendees to this session gather basic understanding of the subject and are able to decide who and where further training is needed.  Attendees will receive brief seminar presentation materials.
 
Prerequisites   There is no minimum educational background requirement for this seminar. 

 

Program Length		  
1 day Management Overview

 

Sem-PM

Project Management - Principles and Practices


Module Summary        In today’s fast-paced business world, organizations that practice sound project management principles secure competitive advantage over those that run the projects by past experience alone. To get products and services to the market faster with cost advantage, today the projects must be time-based as well as cost-based. Project Managers who understand how to use the tools of Project Management are taking leadership roles in the constant drive toward operating improvement.          
    This comprehensive 4-day seminar is an in-depth and participative course providing project managers with the skills, knowledge and tools needed for project success. The attendees to this session learn the essential steps in setting up project plans, scheduling work, exercising appropriate control and monitoring progress to achieve desired project goals.  (View, save, or print flyer)
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Content

Module 0:  Project Management Overview

  • What is a Project and what are its Characteristics?
  • What is Project Management?
  • Structure of Organization Suited for Project Management
  • Phases and Life Cycle of a Project
  • Nine Areas of Project Management Knowledge (PMBOK # 1 – 9 Overviews)

 

Module 1:  Project Initiation (Concept & Definition)
  • Project Selection and Justification
  • Project Integration and Scope Management (PMBOK # 1&2 Highlights)
  • Budgeting and Managing Cost (PMBOK #4 Highlights), etc.
  • Tasks Performed (10 Tasks)

Examples and Q&A

Module 2:          Project Planning

  • What is planning?
  • Project Planning Steps
  • Develop a Mission, Vision, Goal, and Objective for the Project
  • Work breakdown Structure (WBS)
  • Benefits and Reasons of Scheduling

Tools for Time management (PMBOK #3 Highlights), etc.

 

  

Tasks Performed (7 Tasks)

Module 3: Project Execution  
  • Managing Communications (PMBOK #7 Highlights)

Tasks Performed (5 Tasks)

Module 4: Project Control

Project Control and Evaluation

Self Control by Team Members

Project Control Characteristics

Project Control Using Earned Value Analysis

Examples and Q&A

Review Key Project Control Techniques Earned Value Management

Tasks Performed (8 Tasks)

Module 5:  Project Closeout  

Tasks Performed (5 Tasks)

Module 6:  Professional Responsibilities

Project Management in Your Company – Considerations for Implementation

Tasks Performed (5 Tasks)

Appendix

Click here for detail seminar description.
Who Should Attend  

  •  Managers and executives with responsibility for diverse projects

  • Anyone seeking a structured project management method

  • Project managers currently experiencing difficulty keeping projects on the track.

  • Support function managers and supervisors who want a better understanding of the project management process.

  • Individuals who want to prepare for project management exam.
Deliverables   Class presentations, facilitation of group exercises, and copy of the slides.
 
Prerequisites   None.

 

Program Length		  
 2 - 5 days        Click here for detail seminar description.

 

 

Sem-RelT&E

Reliability Test Planning and Evaluation


Module Summary   In today’s competitive environment designing and producing reliable and robust products is essential for business survival. A sound reliability program for a manufacturing company can significantly improve its product performance, product longevity, and ultimately its customer satisfaction and profitability. The discipline known as DFR (Design For Reliability) is a vital component of most modern design teams. Achieving a product’s reliability goals requires the proper application of both reliability test planning and reliability test evaluation techniques.   (View, save, or print flyer)
   

 

This short overview session covers the basic concepts in reliability theory and implementation of methods for planning tests and evaluations of test results for reliability of the product performance.

While there are a number of disciplines, analytical (Failure Modes and Effects Analysis, Fault Tree Analysis, Reliability Modeling, Maintainability) and test tools are commonly practiced to enhance reliability of product designs, this course will focus on applications of the techniques for planning tests and evaluations of the test results. In particular, the technique of Accelerated Life Testing for test planning and Weibull Analysis for evaluation of test rest results will be discussed.

 

  

Reliability Vocabulary

  • Introduction and Purpose

  • Basic Reliability expressions

  • Distribution Functions

Test Planning

  • Theories of Weibull Distribution

  • Test Samples, Reliability, and Confidence Relationship

  • Exercises

Test Evaluation

  • Introduction and Purpose

  • Linear Extrapolations

  • Distribution Functions

  • Theories of Weibull Distribution

  • Life Characteristic Curve (Bath-Tub Curve)

  • Steps in Weibull Plots

  • Example Test Evaluations

  • Exercises

  • Appendix
Who Should Attend  

    This course is intended for those specialists and managers involved in the design, test and/or analysis of products, and who wish to acquire a better understanding of current reliability concepts and practices and how their proper application leads directly to better and more reliable test planning and evaluation of product performance reliability.

Deliverables   Class presentations and exercises.
 
Prerequisites   None.

 

Program Length		  
 1 day - Overview

 

Lean Operations - Principles and Practices 

 

Module Summary

  With ever-increasing competitive business environment, improving productivity through reducing waste in time, effort and cost is a necessary task. Some fundamental principles that many companies have used in their businesses process improvements are know as LEAN principles. Although, most of these concepts are intuitive, the effective tools under Lean Operation have been practiced and proven over several decades.

The basic approach in Lean Operations is to analyze the business performance by critically examining cost effectiveness of the technique used to achieve the performance. Since, businesses with different products and services have distinct customer expectations, a structured and proven methodologies to perform such analysis are critical for achieving success.

Lean Operations can be implemented through your existing Six Sigma champions or by training a Lean Implementation Team within the organization.  Our customized training allows your organization to quickly learn these tools and realize the benefits of Lean. 

 

Content

·         Fundamentals of Lean - Principles, tools and applications of Lean Operations

·         Overview of Quality Champions/capabilities

·         Recognizing Value-Added vs. Non-Value Added activity

·         High level review of the Lean Toolbox

·         Developing Lean lines/cells

·         Kanban and other Lean supply chain strategies

 

·         Lean in the office

·         Hands-on examples to drive home Lean concepts

·         Development of deployment strategies

·         Normal Distribution, Cp, Cpk, DPMO

·         Statistical Process Control Concepts

·         Team Problem Solving skills

·         Standard Work and Event Documentation.

 

Who Should Attend
  • This course applies to anyone in the organization who will be part of a Lean Operations team
  • Line supervisors, managers and directors in such areas as customer service, logistics, sales, quality and purchasing.

Deliverables

Class presentations, facilitation of group exercises, and copy of the slides.

Prerequisites

None

Program Length

 3 days