000			03839nam a22003617a 4500
003			ZW-GwMSU
005			20240506075611.0
008			240429b |||||||| |||| 00| 0 eng d
020			_a9780080994178
020			_a0080994172
020			_a0080994199
020			_a9780080994192
040			_arda _cMSULIB _bEnglish _erda
050			_aQA279 ANT
100	1		_aAntony, Jiju, _eauthor.
245	1	0	_aDesign of experiments for engineers and scientists / _cJiju Antony.
250			_a2nd edition.
264		1	_bElsevier, _c2014.
300			_ax, 208 pages : _billustrations ; _c24 cm.
336			_astill image _2rdacontent
336			_atext _2rdacontent
337			_aunmediated _bn _2rdamedia
338			_avolume _bnc _2rdacarrier
490	0		_aElsevier insights
500			_aPrevious edition: 2003.
504			_aIncludes bibliographical references.
505	0		_aMachine generated contents note: 1. Introduction to Industrial Experimentation -- 1.1. Introduction -- 1.2. Some Fundamental and Practical Issues in Industrial Experimentation -- 1.3. Statistical Thinking and its Role Within DOE -- Exercises -- References -- 2. Fundamentals of Design of Experiments -- 2.1. Introduction -- 2.2. Basic Principles of DOE -- 2.3. Degrees of Freedom -- 2.4. Confounding -- 2.5. Selection of Quality Characteristics for Industrial Experiments -- Exercises -- References -- 3. Understanding Key Interactions in Processes -- 3.1. Introduction -- 3.2. Alternative Method for Calculating the Two-Order Interaction Effect -- 3.3. Synergistic Interaction Versus Antagonistic Interaction -- 3.4. Scenario 1 -- 3.5. Scenario 2 -- 3.6. Scenario 3 -- Exercises -- References -- 4.A Systematic Methodology for Design of Experiments -- 4.1. Introduction -- 4.2. Barriers in the Successful Application of DOE -- 4.3.A Practical Methodology for DOE -- 4.4. Analytical Tools of DOE.
505	0		_aContents note continued: 4.5. Model Building for Predicting Response Function -- 4.6. Confidence Interval for the Mean Response -- 4.7. Statistical, Technical and Sociological Dimensions of DOE -- Exercises -- References -- 5. Screening Designs -- 5.1. Introduction -- 5.2. Geometric and Non-geometric P--B Designs -- Exercises -- References -- 6. Full Factorial Designs -- 6.1. Introduction -- 6.2. Example of a 22 Full Factorial Design -- 6.3. Example of a 23 Full Factorial Design -- 6.4. Example of a 24 Full Factorial Design -- Exercises -- References -- 7. Fractional Factorial Designs -- 7.1. Introduction -- 7.2. Construction of Half-Fractional Factorial Designs -- 7.3. Example of a 2(7--4) Factorial Design -- 7.4. An Application of 2-Level Fractional Factorial Design -- Exercises -- References -- 8. Some Useful and Practical Tips for Making Your Industrial Experiments Successful -- 8.1. Introduction -- Exercises -- References -- 9. Case Studies -- 9.1. Introduction -- 9.2. Case Studies.
505	0		_aContents note continued: References -- 10. Design of Experiments and its Applications in the Service Industry -- 10.1. Introduction to the Service Industry -- 10.2. Fundamental Differences Between the Manufacturing and Service Organisations -- 10.3. DOE in the Service Industry: Fundamental Challenges -- 10.4. Benefits of DOE in Service/Non-Manufacturing Industry -- 10.5. DOE: Case Examples from the Service Industry -- 10.6. Role of Computer Simulation Models Within DOE -- Exercises -- References -- 11. Design of Experiments and its Role Within Six Sigma -- 11.1. What is Six Sigma? -- 11.2. How Six Sigma is Different from Other Quality Improvement Initiatives of the Past -- 11.3. Who Makes Six Sigma Work? -- 11.4. Six Sigma Methodology (DMAIC Methodology) -- 11.5. DOE and its Role Within Six Sigma -- Exercises.
650		0	_aExperimental design.
650		0	_aResearch, Industrial.
942			_2lcc _cB
999			_c165168 _d165168