Design of Experiments in Production Engineering  
Edited by J. Paulo Davim 
 - Switzwerland :  Springer,   c2016. 
 - ix, 196 p. :  ill. ;  24 cm. 
 - Management and Industrial Engineering,  2365-0532. .
<br/><br/>Screening (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. 
<br/><br/> This 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. 
<br/><br/><label>ISBN: </label>9783319238388 9783319238371 (print) 978-3319372129 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Engineering<br/>Production management<br/>Operations research<br/>Decision making<br/>Industrial engineering<br/>Production engineering
<br/><br/><label>Dewey Class. No.: </label>670 DE SI