Jaber Learning Curves

Theory, Models, and Applications
Erscheinungsjahr 2016
ISBN: 978-1-4398-0740-8
Verlag: Taylor & Francis
Format: PDF
Kopierschutz: 0 - No protection

E-Book, Englisch, 476 Seiten

Reihe: Industrial Innovation Series

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.

Zielgruppe

Industrial engineers, operations management, business management, process improvement engineers, project management engineers, inventory management engineers, operations research engineers, production engineers, ergonomics and human factors engineers, students and professionals in behavioral science, cognitive and psychology, organizational behavior, business management, information management, and technology management.

Autoren/Hrsg.

Jaber, Mohamad Y.

Fachgebiete

• Sozialwissenschaften Psychologie Allgemeine Psychologie Kognitionspsychologie Lernen
• Wirtschaftswissenschaften Betriebswirtschaft Unternehmensforschung
• Wirtschaftswissenschaften Betriebswirtschaft Management
• Technische Wissenschaften Maschinenbau | Werkstoffkunde Produktionstechnik Fertigungstechnik
• Mathematik | Informatik Mathematik Operations Research

Inhaltsverzeichnis

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

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

Über Autor(innen)

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.