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Omnex Value-Added Shainin Design of Experiments (DOE)

Seminar Content

This three-day seminar analyzes the basic principles of Experimental Design based on Shainin techniques and then how to apply it to achieve quality and productivity improvements. This is an extremely powerful tool for problem solving.

Who Should Attend

Design heads, responsible teams, Process / Quality Engineers, Shop floor supervisors

Prerequisites

None

Seminar Materials

Each participant will receive extensive course material.

Seminar Goals

• Introduction to how DOE tools can help the participants in solving chronic manufacturing/design problems.
• How DOE tools can be effectively used for Process Qualification of Special Processes which is a mandatory requirement of ISO 9001:2000
• How DOE tools can be very effectively and easily used for Process Verification that is now a mandatory requirement of ISO/TS 16949:2002.
• Idea about how to approach a problem using the DOE tools

Seminar Outline

Omnex will discuss a number of value-added tools during this course. A set of 12-15 tools will be used and taught in a systematic manner to drive continuous improvement and solve problems. Some include

• DOE tools
• Multi-vari analysis
• Concentration chart
• Component Search
• Variable Search
• Process Parameter Search
• Full Factorial
• Paired Comparison
• Test Cause Validation
• Scatter Plot

Comparison of the Disadvantages of conventional problem solving tools and the Advantages of the DOE tools

• Conventional tools used in Problem solving:
• Brainstorming
• Cause and Effect Diagram
• Failure Mode & Effects Analysis
• Is - Is not analysis
• Differences - Changes analysis
• Pareto

These tools help you to filter down to the root causes by conducting trials and analyzing the data.

• These tools work step by step to eliminate and narrow down to the cause(s) that contribute(s) to the problem.
• Most companies rely on these tools completely for solving their manufacturing problems.
• These tools are not based on knowledge or experience but are the outcome of the trials/data collected from the manufacturing process.
• Effectiveness of these tools depends on how the team of engineers are able to "think and tell" about the so-called potential cause(s) for the problem.
• DOE tools are widely acclaimed for contributing to the bottom line savings of companies.

Course Sequence: SHAININ-DOE