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
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. Lapre 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 Sikstrom, 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. Lapre 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 Applications 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 Index
(0 Comentarios)
