Design and Analysis of Experiments, 9th Edition

CHAPTER 12Robust Parameter Design and Process Robustness Studies

CHAPTER OUTLINE

1. 12.1 INTRODUCTION
2. 12.2 CROSSED ARRAY DESIGNS
3. 12.3 ANALYSIS OF THE CROSSED ARRAY DESIGN
4. 12.4 COMBINED ARRAY DESIGNS AND RESPONSE MODEL APPROACH
5. 12.5 CHOICE OF DESIGNS
6. SUPPLEMENTAL MATERIAL FOR CHAPTER 12
7. S12.1 The Taguchi Approach to Robust Parameter Design
8. S12.2 Taguchi's Technical Methods

The supplemental material is on the textbook website www.wiley.com/college/montgomery.

CHAPTER LEARNING OBJECTIVES

1. Understand the basic philosophy of robust parameter design and process robustness.
2. Know the difference between signal and noise factors.
3. Understand the idea behind crossed array designs.
4. Know the problems introduced by using signal‐to‐noise ratios as response variables.
5. Know how to design a combined array experiment.
6. Know how to obtain a model for the process mean and a model for the process variance from a response model obtained from the combined array design.

12.1 Introduction

Robust parameter design (RPD) is an approach to product realization activities that focuses on choosing the levels of controllable factors (or parameters) in a process or a product to achieve two objectives: (1) to ensure that the mean of the output response is at a desired level or target and (2) to ensure that the variability around this target value is as small as possible. When an RPD study is conducted on a process, it is usually called a process robustness study. The general RPD problem was developed by a Japanese ...