机读格式显示(MARC)
- 000 03094cam a2200529 i 4500
- 008 220114t20222022sz a b 001 0 eng d
- 020 __ |a 9783030862664 |q (hardback)
- 020 __ |a 3030862666 |q (hardback)
- 020 __ |a 9783030862695 |q (hardback)
- 020 __ |z 9783030862671 |q (eBook)
- 020 __ |a 3030862690 |q (hardback)
- 024 7_ |a 10.1007/978-3-030-86267-1
- 035 __ |a (OCoLC)1295107154 |z (OCoLC)1295623008 |z (OCoLC)1356502014
- 040 __ |a UKMGB |b eng |e rda |c UKMGB |d YDX |d OCLCO |d OCLCF |d JNA |d Y@Y |d LEATE |d BDX |d OCLCO |d OCLCL
- 050 _4 |a TA160 |b .S55 2022
- 082 04 |a 620.0072/4 |2 23/eng/20220421
- 100 1_ |a Shina, Sammy G., |e author.
- 245 10 |a Industrial design of experiments : |b a case study approach for design and process optimization / |c Sammy Shina.
- 260 __ |a Cham, Switzerland : |b Springer, |c [2022]
- 300 __ |a xxxi, 368 pages : |b illustrations ; |c 24 cm
- 336 __ |a text |b txt |2 rdacontent
- 337 __ |a unmediated |b n |2 rdamedia
- 338 __ |a volume |b nc |2 rdacarrier
- 504 __ |a Includes bibliographical references and index.
- 520 __ |a This textbook provides the tools, techniques, and industry examples needed for the successful implementation of design of experiments (DoE) in engineering and manufacturing applications. It contains a high-level engineering analysis of key issues in the design, development, and successful analysis of industrial DoE, focusing on the design aspect of the experiment and then on interpreting the results. Statistical analysis is shown without formula derivation, and readers are directed as to the meaning of each term in the statistical analysis. Industrial Design of Experiments: A Case Study Approach for Design and Process Optimization is designed for graduate-level DoE, engineering design, and general statistical courses, as well as professional education and certification classes. Practicing engineers and managers working in multidisciplinary product development will find it to be an invaluable reference that provides all the information needed to accomplish a successful DoE. Presents classical versus Taguchi DoE methodologies as well as techniques developed by the author for successful DoE; Offers a step-wise approach to DoE optimization and interpretation of results; Includes industrial case studies, worked examples and detailed solutions to problems.
- 650 _0 |a Engineering |x Experiments.
- 650 _0 |a Manufacturing processes |x Experiments.
- 650 _0 |a Experimental design.
- 650 _0 |a Research, Industrial.
- 650 _2 |a Research Design
- 650 _6 |a Inge nierie |x Expe riences.
- 650 _6 |a Fabrication |x Expe riences.
- 650 _6 |a Plan d'expe rience.
- 650 _6 |a Recherche industrielle.
- 650 _7 |a Engineering |x Experiments |2 fast
- 650 _7 |a Experimental design |2 fast
- 650 _7 |a Manufacturing processes |x Experiments |2 fast
- 650 _7 |a Research, Industrial |2 fast