Learning Curves

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advanced organizational learning models
Category=KJMN
Category=KJMP
Category=KJMV8
empirical research methods
eq_bestseller
eq_business-finance-law
eq_isMigrated=1
eq_nobargain
eq_non-fiction
forgetting curve analysis
industrial engineering
operations management
process improvement
productivity optimization

Product details

  • ISBN 9781439807385
  • Weight: 1050g
  • Dimensions: 156 x 234mm
  • Publication Date: 06 Jun 2011
  • Publisher: Taylor & Francis Inc
  • Publication City/Country: US
  • Product Form: Hardback
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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.

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.