Learning Curves

Theory, Models, and Applications

By: Mohamad Y. Jaber (Editor)

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Hardcover | 6 June 2011 | Edition Number 1

At a Glance

Hardcover
478 Pages

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23.39 x 15.6 x 2.69

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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.

Industry Reviews

"! 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

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Preface	p. xiii
Editor	p. xv
Contributors	p. xvii
Theory and Models
Learning Curves: The State of the Art and Research Directions	p. 3
Inside the Learning Curve: Opening the Black Box of the Learning Curve	p. 23
Learning and Thinking Systems	p. 37
From Men and Machines to the Organizational Learning Curve	p. 57
Management at the Flat End of the Learning Curve: An Overview of Interaction Value Analysis	p. 71
Log-Linear and Non-Log-Linear Learning Curve Models for Production Research and Cost Estimation	p. 91
Using Parameter Prediction Models to Forecast Post-Interruption Learning	p. 103
Introduction to Half-Life Theory of Learning Curves	p. 129
Influence of Breaks in Learning on Forgetting Curves	p. 163
Learning and Forgetting: Implications for Workforce Flexibility in AMT Environments	p. 173
Accelerated Learning by Experimentation	p. 191
Linking Quality to Learning - A Review	p. 211
Latent Growth Models for Operations Management Research: A Methodological Primer	p. 237
Applications
The Lot Sizing Problem and the Learning Curve: A Review	p. 265
Learning Effects in Inventory Models with Alternative Shipment Strategies	p. 293
Steady-State Characteristics under Processing-Time Learning and Forgetting	p. 309
Job Scheduling in Customized Assembly Lines Affected by Workers' Learning	p. 333
Industrial Work Measurement and Improvement through Multivariate Learning Curves	p. 349
Do Professional Services Learn, Sustain, and Transfer Knowledge?	p. 367
Learning Curves in Project Management: The Case of a "Troubled" Implementation	p. 381
Timing Software Upgrades to Maximize Productivity: A Decision Analysis Model Based on the Learning Curve	p. 397
Learning Curves for CAD Competence Building of Novice Trainees	p. 411
Developments in Interpreting Learning Curves and Applications to Energy Technology Policy	p. 425
Index	p. 445
Table of Contents provided by Ingram. All Rights Reserved.

Learning Curves

Theory, Models, and Applications

At a Glance

Hardcover

Industry Reviews

Shipping

How to return your order

Defective items

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