Siamak Haji Yakhchali
Biographic Data
| ID | 7544021 |
|---|---|
| NAME | Siamak Haji Yakhchali |
| GIVEN NAMES | Siamak Haji |
| FAMILY NAME | Yakhchali |
| SIGNATURE | YAKHCHALI S H |
| AFFILIATIONS | University of Tehran |
| VERIFIED | No |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2014 |
| LATEST PUBLICATION YEAR | 2019 |
| H-INDEX | 0 |
Combining Monte Carlo Simulation and Bayesian Networks Methods for Assessing Completion Time of Projects under Risk
In this study, Monte Carlo simulation and Bayesian network methods are combined to present a structure for assessing the aggregated impact of risks on the completion time of a construction project. Construction projects often encounter different risks which affect and prevent their desired completion at the predicted time and budget. The probability of construction project success is increased in the case of controlling influential risks. On the …
Proposing a new methodology for prioritising the investment strategies in the private sector of Iran
This article proposes a systematic and organised approach for group decision-making in the presence of the uncertainty involved in expert judgments as used in multi-criteria decision-making (MCDM) issues. This procedure comprises the selection of the optimum alternative with respect to the evaluation criteria under consideration, in particular to select the strategy of investing. However, the selection of the investment strategy is difficult on a…
No prominent works on this page.
Proposing a new methodology for prioritising the investment strategies in the private sector of Iran
This article proposes a systematic and organised approach for group decision-making in the presence of the uncertainty involved in expert judgments as used in multi-criteria decision-making (MCDM) issues. This procedure comprises the selection of the optimum alternative with respect to the evaluation criteria under consideration, in particular to select the strategy of investing. However, the selection of the investment strategy is difficult on a…
Combining Monte Carlo Simulation and Bayesian Networks Methods for Assessing Completion Time of Projects under Risk
In this study, Monte Carlo simulation and Bayesian network methods are combined to present a structure for assessing the aggregated impact of risks on the completion time of a construction project. Construction projects often encounter different risks which affect and prevent their desired completion at the predicted time and budget. The probability of construction project success is increased in the case of controlling influential risks. On the …
Business (2 works) · Computer Science (2 works) · Mathematics (2 works) · Analytic hierarchy process (1 work) · Analytic network process (1 work) · Artificial Intelligence (1 work) · Bayesian network (1 work) · Construction Project Management and Performance (1 work) · Engineering (1 work) · Extant taxon (1 work)