000			02651nam a22001937a 4500
005			20250102153213.0
008			250102b |||||||| |||| 00| 0 eng d
020			_a9788126525065
082			_a658.5 _bMON
100			_aMontgomery, Douglas C. _9817
245			_aStatistical quality control: _ba modern introduction
260			_bWiley India Pvt. Ltd. _aNew Delhi _c2009
300			_axiv, 734 p.
365			_aINR _b999.00
500			_aTable of content: Part I: Introduction · Chapter 1: Quality Improvement in the Modern Business Environment · Chapter 2: The DMAIC Process Part II: Statistical Methods Useful in Quality Control and Improvement · Chapter 3: Modeling Process Quality · Chapter 4: Inferences about Process Quality Part III: Basic Methods of Statistical Process Control and Capability Analysis · Chapter 5: Methods and Philosophy of Statistical Process Control · Chapter 6: Control Charts for Variables · Chapter 7: Control Charts for Attributes · Chapter 8: Process and Measurement System Capability Analysis Part IV: Other Statistical Process-Monitoring and Control Techniques · Chapter 9: Cumulative Sum and Exponentially Weighted Moving Average Control Charts · Chapter 10: Other Univariate Statistical Process Monitoring and Control Techniques · Chapter 11: Multivariate Process Monitoring and Control · Chapter 12: Engineering Process Control and SPC Part V: Process Design and Improvement with Designed Experiments · Chapter 13: Factorial and Fractional Experiments for Process Design and Improvements · Chapter 14: Process Optimization and Designed Experiments Part VI: Acceptance Sampling · Chapter 15: Lot-by-Lot Acceptance Sampling for Attributes · Chapter 16: Other Acceptance Sampling Techniques Appendix [https://www.wileyindia.com/statistical-quality-control-a-modern-introduction-6ed.html]
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. (https://www.wileyindia.com/statistical-quality-control-a-modern-introduction-6ed.html)
650			_aProcess control--Statistical methods _95810
942			_cBK _2ddc
999			_c8077 _d8077