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Value-added Management with Design of Experiments

This book is about survival. It is about survival in a world that is changing. It is about survival in an occupation - management - that is almost unrecognizable from the viewpoint of only a few years ago, and one that will change even more rapidly in the future. It is about the ultimate survival to...

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Bibliographic Details
Main Author: Condra, L.W.
Format: eBook
Language:English
Published: Dordrecht Springer Netherlands 1995, 1995
Edition:1st ed. 1995
Subjects:
Mechanical Engineering
Online Access:
Collection: Springer Book Archives -2004 - Collection details see MPG.ReNa
Table of Contents:
  • 3.6 The DoE process, from beginning to end
  • 3.7 Automated design of experiments
  • 4 Value-added product design with design of experiments
  • 4.1 Managing the design function
  • 4.2 DoE in the design process: the automotive suspension example
  • 4.3 Iterating the DoE process: the rocket engine example
  • 4.4 Response surface methodology
  • 4.5 Design decisions and product cost
  • 4.6 Dealing with factors we cannot control
  • 4.7 ANOVA in product design: the night vision goggle design
  • 4.8 The loss function
  • 4.9 Luck and the value-added manager
  • 4.10 Seven features of a good product design
  • 4.11 Summary
  • 5 Adding value to the supplier-customer relationship with DoE
  • 5.1 The beginning of the modern procurement system
  • 5.2 The traditional procurement process
  • 5.3 The myths of the traditional procurement process
  • 5.4 How to evaluate products from multiplesources in a designed experiment
  • 5.5 Evaluating multiple sources with column upgrading
  • 7.2 Managing the culture
  • 7.3 Managing the technology
  • 7.4 Managing the data
  • 7.5 Implementing the DoE strategy
  • Appendix A Taguchi orthogonal arrays and linear graphs
  • Appendix B F-tables
  • References
  • 5.6 Using design of experiments with quality function deployment to convert customer needs to effective products
  • 5.7 Adding value to the supplier-customer interface with joint DoE projects: the copper quality example
  • 5.8 Using DoE to add value to the capital equipment acquisition process
  • 5.9 Summary
  • 6 Value-added communications and concurrent engineering with DoE
  • 6.1 The ancient art of concurrent engineering
  • 6.2 Concurrent design and manufacturing engineering: the elastomeric connector experiment
  • 6.3 Concurrent manufacturing and reliability engineering: the thermostat design experiment
  • 6.4 Concurrent materials selection and reliability engineering: the automotive interior plastic experiment
  • 6.5 Concurrent marketing, sales, design and manufacturing with DoE
  • 6.6 Summary of DoE in concurrent engineering
  • 6.7 DoE as a value-added management communications tool
  • 7 Value-added management with design of experiments
  • 7.1 Building cathedrals
  • 1 Value-added management…
  • 1.1 Managers and change
  • 1.2 The changing workforce
  • 1.3 The changing workplace
  • 1.4 Value-added management
  • 1.5 Value-added management with design of experiments
  • 2 … with design of experiments
  • 2.1 Introduction
  • 2.2 The Friday afternoon scenario
  • 2.3 The fabric lamination experiment
  • 2.4 Three types of experiments
  • 2.5 Classical and Taguchi arrays
  • 2.6 DoE and other quality tools
  • 2.7 Interactions among factors
  • 2.8 Where do the arrays come from?
  • 2.9 Is it really necessary to find the root cause? The tile experiment
  • 2.10 The management challenge: where and when to use DoE
  • 2.11 Summary
  • 3 Value-added manufacturing with design of experiments
  • 3.1 Introduction
  • 3.2 The heat sink attachment experiment
  • 3.3 Copying vs. learning
  • 3.4 Pro-active vs. reactive process development and control
  • 3.5 Interpreting results with analysis of variance: the wave solder experiment

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