000			01901nam a2200277Ia 4500
003			OSt
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020			_a978-0471255512
020			_a0471255513
082			_a001.424 BOX-E
100			_aBox, George. _994008
245		0	_aEvolutionary operation: A statistical method for process improvement
260			_aNew York _bWiley-Interscience; John Willey & Sons Inc., _c1998.
300			_axi, 237p.
440			_aWiley Classics Library ; _vv67 _994009
520			_aPresents the philosophy and practice of Evolutionary Operation (EVOP), a statistical method for improving industrial and production processes through systematic experimentation during routine operation. Covers statistical principles underlying EVOP, two- and three-variable factorial designs, EVOP worksheets, organization of EVOP programmes, optimization and variations of EVOP, and practical applications for process improvement.
520			_aThis book is about the philosophy and practice of Evolutionary Operation (called EVOP for short), a simple but powerful statistical tool with wide application in industry. Experience has long shown that statistical methods, sometimes quite sophisticated in character, can be of great value in improving the efficiency of laboratory and pilot-plant investigations made by specially trained chemists and engineers. What originally motivated the introduction of EVOP, however, was the idea that the widespread and daily use of simple statistical design and analysis during routine production by process operatives themselves could reap enormous additional rewards.
650			_aStatistical methods _995787
650			_aEvolutionary operation. _995788
650			_aProcess optimization. _995789
650			_aProcess control. _995790
700			_aDraper, Norman R. _923380
942			_cBK
999			_c41904 _d41904