Reducing Uncertainty Through Expert Judgement in Asset Intensive Industries
21 May
Duration: One day
Location: Cranfield campus
This course introduces the basic and effective elicitation methods to
support decision-making in asset intensive businesses when the
available data is limited or sparse. Using these methods, the user is
able to combine these judgements with the observed data to make better
evaluation/decision about asset condition, maintenance effectiveness,
selecting maintenance regimes and managing risk.
Course objectives
On successful completion of this short course you will be able to:
appreciate the wide range of situations in asset management and risk
management in which expert judgement is found to be valuable
understand the subjective interpretation of probability that is
important in most practical elicitations, and be able to assess simple
subjective probabilities
be aware of the importance of cognitive factors in elicitation, know
some of the most common sources of potential biases, and how to avoid
them in practice
be conversant with an elicitation system/software for organising and
facilitating elicitation
understand elicitation using several experts and how this is dealt with
a brief introduction to multivariate elicitation.
course fees:
£290 - Standard (20% discount for Cranfield alumni, 10% discount for
colleagues of alumni)
£275 - Professional/trade association discount
£265 - Multiple bookings*
More information can be found at
http://www.cranfield.ac.uk/courses/training/reducing-uncertainty-through-expert-judgement-in-asset-intensive-industries.html
Please contact Dr Alireza Daneshkhah for further information.
Dr Alireza Daneshkhah
Director of Utility Asset Management Course
Cranfield Water Science Institute
Cranfield University, VINCENT Building
Cranfield, Bedford, MK43 0AL
Tel: +44 (0)1234 758289 Ext 8289
E-mail: [log in to unmask]
http://www.cranfield.ac.uk/about/people-and-resources/academic-profiles/sas-ac-profile/dr-alireza-a-daneshkhah.html
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