Statistical Process Monitoring and Optimization

Presenting the science of statistical process control (SPC) and the related concepts of total quality management (TQM) and design of experiments (DOE), this remarkable reference demonstrates ways to track industrial processes and performance -- integrating related areas such as engineering process control, statistical reasoning in TQM, robust parameter design, control charts, multivariate process monitoring, capability indices, experimental design, empirical model building, and process optimization. Written by more than 25 renowned researchers with broad experience with on-the-job problem solving, Statistical Process Monitoring and Optimization showcases concepts such as "people-based management" and continuous improvement...examines leadership styles in European, American, and Asian companies...describes means of quantifying factors such as employee loyalty and customer satisfaction and their relation to profitability...explores multivariate diagnosis theory in application to multioperational and multi-index systems...assesses uses of Markov chains in relation to ARL and associated sampling distributions...explains statistical models for dynamic systems, change-point analysis, generalized linear models, and key algorithms...elucidates replication strategies and process capability...reviews the interplay of intraorganizational domains such as finance, marketing, resource allocation, software engineering, and strategic planning...and more. Containing over 1000 references, drawings, tables, and equations, Statistical Process Monitoring and Optimization is a must-read resource for applied statisticians; industrial, quality control, and management science engineers; and upper-level undergraduate and graduate students in these disciplines. Book jacket.Park, Sung H. is the author of 'Statistical Process Monitoring and Optimization', published 1999 under ISBN 9780824760076 and ISBN 0824760077.