Recent years have seen an increase in the development of robust approaches for stochastic project management methodologies such as PERT (Program Evaluation and Review Technique). These robust approaches allow for elevated likelihoods of outlying events, thereby widening interval estimates of project completion times. However, little attention has been paid to the fact that outlying events and/or expert judgments may be asymmetric. We propose the tilted beta distribution which permits both elevated likelihoods of outlying events as well as an asymmetric representation of these events. We examine the use of the tilted beta distribution in PERT with respect to other project management distributions
Project management decision rules presume that fixed and inflexible targets have been defined for th...
In many cases, risks that threaten successful project completion can be mitigated (or eliminated) wi...
In this paper, based on the past project cost and time performance, a model for forecasting project ...
Recent years have seen an increase in the development of robust approaches for stochastic project m...
The beta distribution has traditionally been employed in the PERT methodology and generally used for...
AbstractThe beta distribution has traditionally been employed in the PERT methodology and generally ...
Networks can be utilized to represent project planning problems, using nodes for activities and arcs...
Estimation of task and project completion times within IT projects remains one of the most error-pro...
In order to validate the assumption of beta distributed activity durations in the PERT algorithm, a ...
Among network techniques recently widely employed in program management, Pert is addressed to the pr...
Program Evaluation and Review Technique (PERT) is widely used for project management in real world a...
This paper builds upon earlier work from the decision/risk analysis area in presenting simple, easy-...
This paper explores how uncertainty in duration estimates is handled, with the subject area being ne...
One of the most challenging jobs that any manager can take on in the management of a large scale pro...
The Program Evaluation and Review Technique (PERT) model uses parameters such as the specified proje...
Project management decision rules presume that fixed and inflexible targets have been defined for th...
In many cases, risks that threaten successful project completion can be mitigated (or eliminated) wi...
In this paper, based on the past project cost and time performance, a model for forecasting project ...
Recent years have seen an increase in the development of robust approaches for stochastic project m...
The beta distribution has traditionally been employed in the PERT methodology and generally used for...
AbstractThe beta distribution has traditionally been employed in the PERT methodology and generally ...
Networks can be utilized to represent project planning problems, using nodes for activities and arcs...
Estimation of task and project completion times within IT projects remains one of the most error-pro...
In order to validate the assumption of beta distributed activity durations in the PERT algorithm, a ...
Among network techniques recently widely employed in program management, Pert is addressed to the pr...
Program Evaluation and Review Technique (PERT) is widely used for project management in real world a...
This paper builds upon earlier work from the decision/risk analysis area in presenting simple, easy-...
This paper explores how uncertainty in duration estimates is handled, with the subject area being ne...
One of the most challenging jobs that any manager can take on in the management of a large scale pro...
The Program Evaluation and Review Technique (PERT) model uses parameters such as the specified proje...
Project management decision rules presume that fixed and inflexible targets have been defined for th...
In many cases, risks that threaten successful project completion can be mitigated (or eliminated) wi...
In this paper, based on the past project cost and time performance, a model for forecasting project ...