Topics: Industrial process monitoring, industrial experimantation, industrial modelling and data analysis.
This volume presents an exposition of topics in industrial statistics. It serves as a reference for researchers in industrial statistics/industrial engineering and a source of information for practicing statisticians/industrial engineers. A variety of topics in the areas of industrial process monitoring, industrial experimentation, industrial modelling and data analysis are covered and are authored by leading researchers or practitioners in the particular specialized topic. Targeting the audiences of researchers in academia as well as practitioners and consultants in industry, the book provides comprehensive accounts of the relevant topics. In addition, whenever applicable ample data analytic illustrations are provided with the help of real world data.
Part I Statistics in Research and Development: Guidelines for selecting factors and factor levels for an industrial designed experiment, V. Czitrom; Industrial Experimentation for screening, D.J.K. Lin; The planing and analysis of industrial selection and screening experiments, G. Pan, T.J. Santner, D.M. Goldman; Uniform experimental designs and their applications in industry, K.T. Fang, D.K.J. Lin; Mixed Models and repeated measures - some illustrative industrial examples, G.A. Milliken; Current modeling and design issues in response surface methodology - GLMs and models with block effects, A.I. Khuri; A review of design and modeling in computer experiments, V.C.P. Chen, K.L. Tsui, R.R. Barton, J.K. Allen; Quality improvement and robustness via design of experiments, B.E. Ankenman, A.M. Dean; Software to support manufacturing experiments, J.C. Reece; Statistics in semiconductor industry, V. Czitrom; PREDICT - A new approach to product development and life time assessment using information integration technology, J.M. Booker, T.R. Bement, M.A. Meyer, W.J. Kerscher III; Promises and challenges of mining web transaction data, S.R. Dalal, D. Egan, Y. Ho, M. Rosentein. Part II Statistics In On-line Industrial Processes: Control chart schemes for monitoring the mean and variance of the processes subject to sustained shifts and drifts, Z.G. Stoumbos, M.R. Reynolds Jr., W.H. Woodall; Multivariate Control Charts - Hotelling-T-square, Data Depth and Beyong, R.Y. Liu; Sample sizes effective for T2 control charts, R.L. Mason, Y.M. Chou, J.C. Young; Multidimensional scaling in process control, T.F. Cox; Quantifying the capability of industrial processes, A.M. Polansky, S.N.U.A. Kirmani; Taguchi's approach to on line control procedure, M.S. Srivastava, Y. Wu; Dead bank adjustment schemes for on line feedback quality control, A. Lueno.