Articoli correlati a Learning Curves: Theory, Models, and Applications

Learning Curves: Theory, Models, and Applications - Rilegato

Libro 38 di 65: Systems Innovations
 
9781439807385: Learning Curves: Theory, Models, and Applications

Sinossi

Written by international contributors, Learning Curves: Theory, Models, and Applications first draws a learning map that shows where learning is involved within organizations, then examines how it can be sustained, perfected, and accelerated. The book reviews empirical findings in the literature in terms of different sources for learning and partial assessments of the steps that make up the actual learning process inside the learning curve.

Traditionally, books on learning curves have focused either on cost accounting or production planning and control. In these books, the learning curve has been treated as a forecasting tool. This book synthesizes current research and presents a clear picture of organizational learning curves. It explores how organizations improve other measures of organizational performance including quality, inventory, and productivity, then looks inside the learning curve to determine the actual processes through which organizations learn.

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Informazioni sull'autore

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.

Dalla quarta di copertina

A contributed work covering advances in learning curve research theory and applications, this book draws a learning map to demonstrate where learning is involved within organizations and how it can be sustained, perfected, and accelerated. It reviews developments in research and explores the learning-quality relationship. The text explains how to improve learning curves using the Earned Value Method (EVM) and through the design of thinking systems. It also offers a chapter that reviews the Forgetting Curves.

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