Learning, Unlearning and Re-Learning Curves

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A01=Alan Jones
advanced cost driver segmentation
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Author_Alan Jones
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Build Number
Category1=Non-Fiction
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Category=AK
Category=KC
Category=KFCC
Category=KJC
Category=KJMN
Category=KJMP
Category=KJMV5
Category=PB
Category=PBWH
Category=TBC
Category=TQ
Constant Output Rate
COP=United Kingdom
Cost Drivers
cost engineering
Cumulative Average
Cumulative Average Curve
Cycle Time
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Design Engineering Support
Empirical Relationship
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eq_business-finance-law
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Equivalent Unit
estimating and forecasting
Final Production Quantity
Generalised Power Function
Language_English
Learning Curve Exponent
Learning Curve Model
Learning Curve Rate
Learning Exponents
Log Log Space
Microsoft Excel Solver
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Potential Cost Drivers
Prediction Intervals
Price_€50 to €100
process optimisation
production efficiency
project risk analysis
PS=Active
quantitative modelling
Relation Ships
Segmentation Approach
softlaunch
Square Root Rule
statistical forecasting methods
Time Constant Model
Time Period Scale
Traditional Learning Curve

Product details

  • ISBN 9781138064973
  • Weight: 602g
  • Dimensions: 156 x 234mm
  • Publication Date: 10 Sep 2018
  • Publisher: Taylor & Francis Ltd
  • Publication City/Country: GB
  • Product Form: Hardback
  • Language: English
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Learning, Unlearning and Re-learning Curves (Volume IV of the Working Guides to Estimating & Forecasting series) focuses in on Learning Curves, and the various tried and tested models of Wright, Crawford, DeJong, Towill-Bevis and others. It explores the differences and similarities between the various models and examines the key properties that Estimators and Forecasters can exploit.

A discussion about Learning Curve Cost Drivers leads to the consideration of a little used but very powerful technique of Learning Curve modelling called Segmentation, which looks at an organisation’s complex learning curve as the product of multiple shallower learning curves. Perhaps the biggest benefit is that it simplifies the calculations in Microsoft Excel where there is a change in the rate of learning observed or expected. The same technique can be used to model and calibrate discontinuities in the learning process that result in setbacks and uplifts in time or cost. This technique is compared with other, better known techniques such as Anderlohr’s.

Equivalent Unit Learning is another, relative new technique that can be used alongside traditional completed unit learning to give an early warning of changes in the rates of learning. Finally, a Learning Curve can be exploited to estimate the penalty of collaborative working across multiple partners. Supported by a wealth of figures and tables, this is a valuable resource for estimators, engineers, accountants, project risk specialists, as well as students of cost engineering.

Alan R. Jones is Principal Consultant at Estimata Limited, aconsultancy service specialising in Estimating Skills Training. He is a Certified Cost Estimator/Analyst (US) and Certified Cost Engineer (CCE) (UK). Prior to setting up his own business, he enjoyed a 40-year career in the UK aerospace and defence industry as an estimatorAlan is a Fellow of the Association of Cost Engineers and a member of the International Cost Estimating and Analysis Association. Historically (some four decades ago), Alan was a graduate in Mathematics from Imperial College of Science and Technology in London, and was an MBA Prize-winner at the Henley Management College.

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