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Books > Business & Economics > Business & management > Management & management techniques > Project management
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Learning, Unlearning and Re-Learning Curves (Hardcover)
Loot Price: R2,216
Discovery Miles 22 160
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Learning, Unlearning and Re-Learning Curves (Hardcover)
Series: Working Guides to Estimating & Forecasting
Expected to ship within 12 - 17 working days
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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.
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