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BSI PD ISO/TS 16355-6:2019

BSI PD ISO/TS 16355-6:2019

$142.49

Applications of statistical and related methods to new technology and product development process – Guidance for QFD-related approaches to optimization

Published By Publication Date Number of Pages
BSI 2019 24
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This document provides guidance for QFD-related approaches to optimization through robust parameter design to ensure customer satisfaction with new products, services, and information systems. It is applicable to identify optimum nominal values of design parameters based on the assessment of robustness of its function at the product design phase.

NOTE

Some of the activities described in this document can be used at earlier and later stages. Other approaches to solve optimization problems in new technology and product development processes are listed in Annex B.

PDF Catalog

PDF Pages PDF Title
2 undefined
7 Foreword
8 Introduction
9 1 Scope
2 Normative references
3 Terms and definitions
4 Basic concepts of QFD
10 5 Integration of QFD and robust parameter design
5.1 Quality engineering
5.1.1 General
5.1.2 Loss function
11 5.1.3 Types of factors which affect variability
12 5.2 When to use quality engineering
5.3 Robust parameter design, QFD, and TRIZ
13 6 Types of QFD and robust design projects
14 7 QFD and robust parameter design team membership
7.1 QFD uses cross-functional teams
7.2 Core team membership
7.3 Subject matter experts
7.4 QFD team leadership
8 Robust parameter design
8.1 General
8.2 Signal-to-noise ratio
8.2.1 General
8.2.2 Signal
15 8.2.3 Noise
8.2.4 Three types of SN ratios
16 8.3 Assessing robustness
8.4 Two-step optimization
8.4.1 General
8.4.2 Design of experiments (DOE)
8.5 Steps to robust parameter designed experiments
8.5.1 General
17 8.5.2 Step 1. Clarify the system’s ideal function
8.5.3 Step 2. Select signal factor and its range
8.5.4 Step 3. Select measurement method of output response
8.5.5 Step 4. Develop a noise strategy, and select noise factors and levels
18 8.5.6 Step 5. Select control factors and their levels from design parameters
8.5.7 Step 6. Assign experimental factors to inner or outer array
8.5.8 Step 7. Conduct experiment and collect data
8.5.9 Step 8. Calculate the SN ratio (η) and sensitivity (S)
8.5.10 Step 9. Generate factorial effect diagrams on SN ratio and sensitivity
19 8.5.11 Step 10. Select the optimum condition
8.5.12 Step 11. Estimate the improvement in robustness by the gain
8.5.13 Step 12. Conduct a confirmation experiment and check the gain and reproducibility
8.5.14 Conclusions
8.6 Case studies in robust parameter design
20 Annex A (informative) Integration of robust parameter design (RPD) with quality function deployment (QFD) and theory of inventive problem solving (TRIZ)
21 Annex B (informative) Other optimization methods
22 Bibliography

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BSI PD ISO/TS 16355-6:2019
$142.49