000			01923cam a22002655a 4500
999			_c33519 _d33519
001			OCM1ssj0001584592
020			_a9783319238388
020			_a9783319238371 (print)
020			_a978-3319372129
082	0	4	_a670 DE SI
245	0	0	_aDesign of Experiments in Production Engineering _cEdited by J. Paulo Davim
260			_aSwitzwerland : _bSpringer, _cc2016.
300			_aix, 196 p. : _bill. ; _c24 cm.
490	1		_aManagement and Industrial Engineering, _x2365-0532.
505	0		_aScreening (sieve) design of experiments in metal cutting -- Modelling and optimisation of machining with the use of statistical methods and soft computing -- Design experiments, statistical and artificial intelligence analysis for the improvement of machining – a review -- A systematic approach to design of experiments in waterjet machining of high performance ceramics -- Response surface modeling of fractal dimension in WEDM -- Thrust force and torque mathematical models in drilling of Al7075 using the response surface methodology -- Design of experiments in titanium metal cutting research -- Parametric optimization of submerged arc welding using Taguchi method.
520			_aThis book covers design of experiments (DoE) applied in production engineering as a combination of manufacturing technology with applied management science. It presents recent research advances and applications of design experiments in production engineering and the chapters cover metal cutting tools, soft computing for modelling and optmization of machining, waterjet machining of high performance ceramics, among others.
650		0	_aEngineering _9780
650		0	_aProduction management _9564
650		0	_aOperations research _91292
650		0	_aDecision making _917292
650		0	_aIndustrial engineering _92030
650		0	_aProduction engineering _92303
700	1		_aDavim, J. Paulo., _eEdited by _917293
942			_2ddc _cREGULAR