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Project Risk Assessment
Fuzzy Logic Approach to Project Risk Assessment
Wayne Jones
Paperback | Engels
€ 58,45
+ 116 punten
Omschrijving
In this better, faster, and cheaper era, project
managers face many challenges in their attempts to
perform effective project management. Too many
projects suffer because the cost, schedule and
performance goals are unachievable. Unrealistic
cost, schedule, and performance estimates and a
failure to quantify and communicate the uncertainty
of these estimates to managers and stakeholders
often results in project failure. A systematic risk
identification approach using expert judgment
coupled with a risk quantification method has
utility in project planning and control. Cost,
schedule, and performance are regarded as
the "magical" combination that is continuously
reviewed by project managers. These three factors
form the basis for project control. Therefore, to
achieve project success, each of these factors must
be understood and properly estimated. A risk
assessment model was develop using fuzzy membership
sets. The model identified and quantified project
risks associated with all three of the project
parameters considering risk likelihood and the
resulting potential consequences on project
estimates.
managers face many challenges in their attempts to
perform effective project management. Too many
projects suffer because the cost, schedule and
performance goals are unachievable. Unrealistic
cost, schedule, and performance estimates and a
failure to quantify and communicate the uncertainty
of these estimates to managers and stakeholders
often results in project failure. A systematic risk
identification approach using expert judgment
coupled with a risk quantification method has
utility in project planning and control. Cost,
schedule, and performance are regarded as
the "magical" combination that is continuously
reviewed by project managers. These three factors
form the basis for project control. Therefore, to
achieve project success, each of these factors must
be understood and properly estimated. A risk
assessment model was develop using fuzzy membership
sets. The model identified and quantified project
risks associated with all three of the project
parameters considering risk likelihood and the
resulting potential consequences on project
estimates.
Specificaties
Betrokkenen
- Auteur(s):
- Uitgeverij:
Inhoud
- Aantal bladzijden:
- 144
- Taal:
- Engels
Eigenschappen
- Productcode (EAN):
- 9783639174274
- Verschijningsdatum:
- 1/07/2009
- Uitvoering:
- Paperback
- Afmetingen:
- 150 mm x 220 mm
- Gewicht:
- 208 g
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