Learning Curves: Theory, Models, and Applications, 1st Edition (Paperback) book cover

Learning Curves

Theory, Models, and Applications, 1st Edition

Edited by Mohamad Y. Jaber

CRC Press

476 pages | 100 B/W Illus.

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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.


"… 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

Table of Contents

Theory and Models

Learning Curves: The State of the Art and Research Directions, Flavio S. Fogliatto and Michel J. Anzanello

Inside the Learning Curve: Opening the Black Box of the Learning Curve, Michael A. Lapré

Learning and Thinking Systems, J. Deane Waldman and Steven A. Yourstone

From Men and Machines to the Organizational Learning Curve, Guido Fioretti

Management at the Flat End of the Learning Curve: An Overview of Interaction Value Analysis, Walid F. Nasrallah

Log-linear and Non-log-linear Learning Curve Models for Production Research and Cost Estimation, Timothy L. Smunt

Using Parameter Prediction Models to Forecast Post-Interruption Learning, Charles D. Bailey and Edward V. McIntyre

Introduction to Half-Life Theory of Learning Curves, Adedeji B. Badiru

Influence of Breaks in Learning on Forgetting Curves, Sverker Sikström, Mohamad Y. Jaber, and W. Patrick Neumann

Learning and Forgetting: Implications for Workforce Flexibility in AMT Environments, Corinne M. Karuppan

Accelerated Learning by Experimentation, Roger Bohn and Michael A. Lapré

Linking Quality to Learning – A Review, Mehmood Khan, Mohamad Y. Jaber, and Margaret Plaza

Latent Growth Models for Operations Management Research: A Methodological Primer, Hemant V. Kher and Jean-Philippe Laurenceau


The Lot Sizing Problem and the Learning Curve: A Review, Mohamad Y. Jaber and Maurice Bonney

Learning Effects in Inventory Models with Alternative Shipment Strategies, Christoph H. Glock

Steady State Characteristics under Processing-Time Learning and Forgetting, Sunantha Teyarachakul

Job Scheduling in Customized Assembly Lines Affected by Workers’ Learning, Michel J. Anzanello and Flavio S. Fogliatto

Industrial Work Measurement and Improvement through Multivariate Learning Curves, Adedeji B. Badiru

Do Professional Services Learn, Sustain, and Transfer Knowledge? Tonya Boone, Ram Ganeshan, and Robert L. Hicks

Learning Curves in Project Management: The Case of a "Troubled" Implementation, Margaret Plaza, Daphne Diem Truong, and Roger Chow

Timing Software Upgrades to Maximize Productivity: A Decision Analysis Model Based on the Learning Curve, Aziz Guergachi and Ojelanki Ngwenyama

Learning Curves for CAD Competence Building of Novice Trainees, Ramsey F. Hamade

Developments in Interpreting Learning Curves and Applications to Energy Technology Policy, Bob van der Zwaan and Clas-Otto Wene


About the Editor

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.

About the Series

Systems Innovation Book Series

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Subject Categories

BISAC Subject Codes/Headings:
BUSINESS & ECONOMICS / Management Science
TECHNOLOGY & ENGINEERING / Industrial Engineering
TECHNOLOGY & ENGINEERING / Industrial Health & Safety
TECHNOLOGY & ENGINEERING / Operations Research