Learning Curves：Theory, Models, and Applications

Thirty-three international academics and researchers contribute 23 chapters exploring learning curves and their applications in organizational settings. Opening chapters describe the theory and models of learning curves, while subsequent chapters consider their applications. A sampling of topics includes learning and thinking systems, management at the flat end of the learning curve, half-life theory of learning curves, accelerated learning by experimentation, the lot sizing problem and the learning curve, steady-state characteristics under processing-time learning and forgetting, industrial work measurement and improvement through multivariate learning curves, and learning curves in project management, for CAD competence building, and in energy technology policy. The book's readership includes graduate students and researchers in operations research/management science, industrial engineering, management (in fields such as healthcare and energy) and social sciences. Annotation c2012 Book News, Inc., Portland, OR (booknews.com)

Mohamad Y Jaber is a Professor (effective 01 September 2008) of Industrial Engineering at Ryerson University. He obtained his Ph.D. in Manufacturing and Operations Management from the University of Nottingham, UK.