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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.
List of contents
Learning Curves - Literature Review and Future Research Directions. Inside the Learning Curve: Opening Up the Black Box of the Learning Curve. The Learning-Quality Relationship. Forgetting Curves: A Review. Learning and Forgetting: A Conceptual Framework. The Organizational Learning Curve. The Learning Organization at the Steady State. Inventory Management and the Learning Curve. Work Assignment in Mass Customized Production Lines Based on Learning Curves. Industrial Work Measurement and Improvement Through Multivariate Learning Curves. Timing Software Upgrades to Maximize Productivity: A Decision Analysis Model Based on the Learning Curve. Learning Curves in Project Management: The Case of a Troubled Implementation. Learning and Thinking Systems. Learning Curves for the Assessment of Energy Technologies.
About the author
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.
Summary
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.
Additional text
"… spot on - a lot of research has been conducted to understand learning in organizations as opposed to merely estimating a function that relates cumulative production volume to unit cost. … fills a vacuum in learning curve research in theory, modelling and applications.—Michael A. Lapre, Owen Graduate School of Management, Vanderbilt University - Nashville, Tennessee, USA
This is an excellent book for those persons and business and labor entities that need a concise grounding in the basics of workplace safety and health. … this book will surely be of great utility to safety and health professionals, especially to small to medium-size business owners/operators and labor leaders who may need basic information about how to meet safety and health requirements for their enterprises.—Human and Ecological Risk Assessment
