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Image of Introduction to Engineering Statistics and Six Sigma: Statistical Quality Control and Design of
Experiments and Systems
Penanda Bagikan

e-book

Introduction to Engineering Statistics and Six Sigma: Statistical Quality Control and Design of Experiments and Systems

Theodore T. Allen - Nama Orang;

There are four main reasons why I wrote this book. First, six sigma consultants
have taught us that people do not need to be statistical experts to gain benefits from
applying methods under such headings as “statistical quality control” (SQC) and
“design of experiments” (DOE). Some college-level books intertwine the methods
and the theory, potentially giving the mistaken impression that all the theory has to
be understood to use the methods. As far as possible, I have attempted to separate
the information necessary for competent application from the theory needed to
understand and evaluate the methods.

Second, many books teach methods without sufficiently clarifying the context
in which the method could help to solve a real-world problem. Six sigma, statistics
and operations-research experts have little trouble making the connections with
practice. However, many other people do have this difficulty. Therefore, I wanted
to clarify better the roles of the methods in solving problems. To this end, I have
re-organized the presentation of the techniques and included several complete case
studies conducted by myself and former students.

Third, I feel that much of the “theory” in standard textbooks is rarely presented
in a manner to answer directly the most pertinent questions, such as:
Should I use this specific method or an alternative method?
How do I use the results when making a decision?
How much can I trust the results?

Admittedly, standard theory (e.g., analysis of variance decomposition,
confidence intervals, and defining relations) does have a bearing on these
questions. Yet the widely accepted view that the choice to apply a method is
equivalent to purchasing a risky stock investment has not been sufficiently
clarified. The theory in this book is mainly used to evaluate in advance the risks
associated with specific methods and to address these three questions.

Fourth, there is an increasing emphasis on service sector and bioengineering
applications of quality technology, which is not fully reflected in some of the
alternative books. Therefore, this book constitutes an attempt to include more
examples pertinent to service-sector jobs in accounting, education, call centers,
health care, and software companies.


Ketersediaan

Tidak ada salinan data

Informasi Detail
Judul Seri
-
No. Panggil
-
Penerbit
London : Springer-Verlag London Limited., 2006
Deskripsi Fisik
620’.0072
Bahasa
English
ISBN/ISSN
1-84628-200-4
Klasifikasi
-
Tipe Isi
-
Tipe Media
-
Tipe Pembawa
-
Edisi
-
Subjek
STATISTIK TEKNIK
Info Detail Spesifik
-
Pernyataan Tanggungjawab
agus
Versi lain/terkait

Tidak tersedia versi lain

Lampiran Berkas
  • CONTENTS
  • FRONT MATTER
  • 1 Introduction
  • 2 Statistical Quality Control and Six Sigma
  • 3 Define Phase and Strategy
  • 4 Measure Phase and Statistical Charting
  • 5 Analyze Phase
  • 6 Improve or Design Phase
  • 7 Control or Verify Phase
  • 8 Advanced SQC Methods
  • 9 SQC Case Studies
  • 10 SQC Theory
  • 11 DOE: The Jewel of Quality Engineering
  • 12 DOE: Screening Using Fractional Factorials
  • 13 DOE: Response Surface Methods
  • 14 DOE: Robust Design
  • 15 Regression
  • 16 Advanced Regression and Alternatives
  • 17 DOE and Regression Case Studies
  • 18 DOE and Regression Theory
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