Robust System Design

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Robust System Design posted by member150_php on 2/23/2009

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Abstract/Syllabus

Courseware/Lectures

Test/Tutorials

Robust System Design

Summer 1998

Graph shows how manufacturing variations impact cost under different scenarios.

A key concept of the course is that in order to reduce quality loss (black line) in systems exhibiting a lot of variation (red distribution), it is important to first reduce variation (blue distribution) and also to place the distribution on target (green distribution). (Graph by Prof. Daniel Frey.)

Course Highlights

The course includes a substantial, team-based design project. The goal will be to define industrially relevant design projects in SDM sponsor companies and at MIT. Teams will document their efforts in a written report and make a formal presentation of their results.

Course Description

This course was created for the "product development" track of MIT's System Design and Management Program (SDM) in conjunction with the Center for Innovation in Product Development. After taking this course, a student should be able to:

Formulate measures of performance of a system or quality characteristics. These quality characteristics are to be made robust to noise affecting the system.
Sythesize and select design concepts for robustness.
Identify noise factors whose variation may affect the quality characteristics.
Estimate the robustness of any given design (experimentally and analytically).
Formulate and implement methods to reduce the effects of noise (parameter design, active control, adjustment).
Select rational tolerances for a design.
Explain the role of robust design techniques within the wider context of the product development process.
Lead product development activities that include robust design techniques.

Technical Requirements

Special software is required to use some of the files in this course: .xls.

Syllabus

Background

This course was created for the "product development" track of MIT's System Design and Management Program (SDM) in conjunction with the Center for Innovation in Product Development.

Course Objectives

After taking this course, a student should be able to:

Formulate measures of performance of a system or quality characteristics. These quality characteristics are to be made robust to noise affecting the system.
Sythesize and select design concepts for robustness.
Identify noise factors whose variation may affect the quality characteristics.
Estimate the robustness of any given design (experimentally and analytically).
Formulate and implement methods to reduce the effects of noise (parameter design, active control, adjustment).
Select rational tolerances for a design.
Explain the role of robust design techniques within the wider context of the product development process.
Lead product development activities that include robust design techniques.

Course Format

This course will be designed to accommodate the new SDM split summer format. The students will be on campus for the first 5 weeks and back at their companies for the last five weeks. The first five weeks will therefore be accelerated to help students balance the workload more evenly over the summer.

Term Project

The course will require a substantial, team-based design project. The goal will be to define industrially relevant design projects in the SDM sponsor companies and at MIT. Teams will document their efforts in a written report and make a formal presentation of their results.

Calendar


LEC #	DURATION	EVENT	READINGS


1	1 hr 50 min	Introduction / Probability Statistics and Quality Loss	Taguchi and Clausing. "Robust Quality."


2	1 hr 50 min	Context of Robust Design in Product Development	PowerPoint slides + Phadke Chap. 1 and 2


3	1 hr 50 min	Matrix Experiments Using Orthogonal Arrays / Paper Helicopter Lab	Phadke. Chap. 3


4	1 hr 50 min	Selection of Quality Characteristics / Design for Additivity	Phadke. Chap. 4


5	1.5 hrs	Selection of Control Factors / Noise Strategy	Phadke. Chap. 5


6	1 hr 50 min	Noise Strategy Lab (Catapults)	Phadke. Chap. 6


7	1 hr 50 min	Analysis of Variance	Phadke. Chap. 3


8	1 hr 50 min	Student Presentations on Term Project Ideas


9	1 hr 50 min	Constructing Orthogonal Arrays	Phadke. Chap. 7


10	1 hr 50 min	Design of Software (ITT Case study) Efficient Software Testing	Phadke. Chap. 10


11	2.5 hrs	Robust Design Using Simulations	Phadke. Chap. 8


12	1 hr 50 min	Design of Dynamic Systems	Phadke. Chap. 9


13	1 hr 50 min	Reliability Improvement	Phadke. Chap. 11


14	1 hr 50 min	Review for Final Exam	Phadke. Chap. 11


15	1 hr 50 min	Tolerance Design


16	1 hr 50 min	Final Exam for SDM


17	2 hrs	Mahalanobis Taguchi System


18	1 hr 50 min	Term Project Consultation / Review Expectations


19	2 hrs	Term Project Consultation / Tolerance Design


20	2 hrs	Term Project Consultation / Mahalanobis Distance


21	2 hrs	Term Project Consultation / Conceptual Design


22	1 hr 50 min	Robust Conceptual Design