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Production Problem Solving by Designed Experiments
(2-Day Onsite Training)


Overview Design of Experiments (DOE) is powerful statistical technique for study of multiple variables simultaneously. Designed for production and quality specialists, this session offers opportunities to learn and apply the Taguchi experimental design techniques for economically solving engineering and production problems.  This seminar helps you acquire advanced application skills necessary for technical problem solving under Design For Six Sigma (DFSS) disciplines. (View, save, or print flyer  Download a Paper on Problem_Solving & Lean )

 

 

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Purchase electronic version of this Seminar Notes            

  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. Attendees this session learn how to handle production and manufacturing problems permanently with minimum time in experimenting.

 

Discussion Areas 

  • 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 
  • Class project & presentation by the groups
 

Agenda

Day 1: Introduction

  • Definition of Product & Process Problems

  •  Assumption and Expected Solution

  • Strategy and Approach

  • Experiments Using Standard Orthogonal Arrays

  • Design of Experiment Basics

  • Experiments with 2-level Factors 

  • Full Factorial Design with Seven 2-level Factors

  •  Tools for Experiment Designs 

  • Three Major Steps in Applications  

  • Procedure for Experiment Planning  (Brainstorming)   

  • Results with Multiple Criteria of Evaluations 

  • Analysis of Results 

  • Experiment Designs with Larger Number of Factors

  • Basic Experiment Design and Analysis Strategy

Day 2

  • Experiment Designs with Interactions

  • Understanding Interaction

  • Scopes of Interaction Studies

  • Experiment Design for Interaction Studies

  • Application Examples

  • Testing for Presence of Interaction

  • Correction of Performance

  • Prediction Based on Interaction

Topics for Future Studies (Not covered in 2-day session)

  • Designs with Mixed Levels and Interactions
  • Analysis of Variance (ANOVA)
  • Robust Design Principles
  • Quantification of Benefits from Performance Improvement
  •  Qualitek-4 software (when purchased by the sponsor)
Who Should Attend   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   This seminar will help you develop application knowledge necessary to apply the experimental design technique to investigate and solve production problems. It will help you make decision based on experimental data. You will learn how to design and analyze most common experiments set up for problem investigations and resolution.  Attendees will receive brief seminar presentation materials.
 
Prerequisites    There is no minimum educational background requirement for this seminar.

Program Length
 
2 days                 Click here consulting services.

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