000			02155nam a22002177a 4500
005			20220812114446.0
008			220812b |||||||| |||| 00| 0 eng d
020			_a9788126525065
082			_a658.5620 _bMON
100			_aMontgomery, Douglas C.
245			_aStatistical quality control : _ba modern introduction _cDouglas C Montgomery
250			_a6th ed.
250			_aWiley Student Edition.
260			_aNew Delhi : _bJohn Wiley & Sons, _c2009.
300			_axiv, 734 pages : _billustrations ; _c25 cm
505			_tChapter 1: Quality Improvement in the Modern Business Environment _tChapter 2: The DMAIC Process _tChapter 3: Modeling Process Quality _tChapter 4: Inferences about Process Quality _tChapter 5: Methods and Philosophy of Statistical Process Control _tChapter 6: Control Charts for Variables _tChapter 7: Control Charts for Attributes _tChapter 8: Process and Measurement System Capability Analysis _tChapter 9: Cumulative Sum and Exponentially Weighted Moving Average Control Charts _tChapter 10: Other Univariate Statistical Process Monitoring and Control Techniques _tChapter 11: Multivariate Process Monitoring and Control _tChapter 12: Engineering Process Control and SPC _tChapter 13: Factorial and Fractional Experiments for Process Design and Improvements _tChapter 14: Process Optimization and Designed Experiments _tChapter 15: Lot-by-Lot Acceptance Sampling for Attributes _tChapter 16: Other Acceptance Sampling Techniques
520			_aCovering everything from basic principles to state-of-the-art concepts and applications, this book arms readers with a comprehensive understanding of modern statistical methods for quality control and improvement. The author covers basic and advanced methods of statistical process control (SPC), show how statistically designed experiments can be used for process design, development and improvement, and explore acceptance sampling. Throughout the pages, guidelines are provided for selecting the correct statistical technique to use in a variety of situations.
650			_aQuality control--Statistical methods
650			_aProcess control--Statistical methods
942			_2ddc _cBK
999			_c1727 _d1727