Learning Curves (eBook, PDF)

Theory, Models, and Applications
Redaktion: Jaber, Mohamad Y.

• Format: PDF

Produktbeschreibung

A contributed work covering advances in learning curve research theory and applications, this book draws a learning map to demonstrate where learning is involved within organizations and how it can be sustained, perfected, and accelerated. It reviews developments in research and explores the learning-quality relationship. The text explains how to improve learning curves using the Earned Value Method (EVM) and through the design of thinking systems. It also offers a chapter that reviews the Forgetting Curves.

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Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 476
• Erscheinungstermin: 19. April 2016
• Englisch
• ISBN-13: 9781439807408
• Artikelnr.: 57533778

Autorenporträt

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.

Inhaltsangabe

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.