000			02462nam a2200241 a 4500
245	1	0	_aStatistical process control _cJohn S. Oakland
008			160124n 000 0 eng d
250			_a6th ed.
260			_aNew York : _bRoutledge, _cc2015.
100			_aOakland, John S.
300			_axiii, 458 p. : _bill. ; _c25 cm.
020			_a978-1138130029
505	0		_aPart 1: Process Understanding and Management: Quality, Processes and Control; Understanding and managing processes; Process data collection and presentation. Part 2: Process Variability: Variation and its management; Variables and process variation. Part 3: Process Control: Process control using variables; Other types of control charts for variables; Process control by attributes; Cumulative sum (cusum) charts. Part 4: Process Capability: Process capability for variables and its measurement; Process capability for attributes - sampling. Part 5: Process Improvement: Process problem solving and improvement; Managing out-of-control processes; Designing the statistical process control system; Six-sigma process quality; The implementation of statistical process control. Appendices.
520			_aStatistical Process Control (SPC) is a tool that measures and achieves quality control, providing managers from a wide range of industries with the ability to take appropriate actions for business success. Offering a complete instructional guide to SPC for professional quality managers and students alike, all the latest tools, techniques and philosophies behind process management and improvement are supported by the author’s extensive consulting work with thousands of organisations worldwide. Fully updated to include real-life case studies, new research based on actual client work from an array of industries, a new chapter on process capability, and integration with the latest computer methods and Minitab software, the book also retains its valued textbook quality through clear learning objectives and end of chapter discussion questions. It will serve as a textbook for both student and practicing engineers, scientists, technologists and managers and for anyone wishing to understand or implement modern statistical process control techniques.
650		7	_aProcess control _2sears
650		7	_aQuality Management _2sears
650		7	_aData collection _2sears
526	0		_aMGMT350
005			20170126101025.0
001			63330
003			UOWD
942			_cREGULAR
999			_c28488 _d28488