Alan R. Jones

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.

Learning, Unlearning and Re-Learning Curves

Nicole Leclercq

Laurent Rossion

Kristy Davis

Le défi du patrimoine immatériel est de capturer l'essence du spectacle : l'idée de « capture » a cela d'intéressant qu'elle suppose que les professionnels impliqués dans la SIBMAS soient comme des chasseurs, sur la piste, de toutes sortes de façons, afin de coincer et de recueillir un petit quelque chose d'éphémère, qui en vaut la peine, et qui nous en apprend sur nous-mêmes et sur notre monde. Certains chasseurs se servent des bases de données, d'autres des écrits ou des images - mais tous partagent un même objectif : ne pas laisser se perdre un moment spécial, magique, que seule la vie du spectacle peut générer. The challenge of intangible heritage is to capture the essence of performance: the idea of capturing is interesting as it implies that the professionals, involved in SIBMAS, are on a hunt, a hunt in a number of different ways to pin down and preserve something ephemeral and something worth preserving, something that tells us more about ourselves and the world we live in. Some hunters use the database, some the written word, some the camera but all share a common goal: not to let go of a particular moment, a magic moment that only the live event can create.

Alan R. Jones

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