Monte Carlo Simulation and Modeling of Schedule, Cost and Risks of Dasu Hydropower Project
Journal Title: Mehran University Research Journal of Engineering and Technology - Year 2019, Vol 38, Issue 3
Abstract
HPP (Hydropower Projects) are very complex and risky in nature. For HPP, it is extremely important not only to identify risks but also to adopt proper mitigation measure to complete the project with in defined schedule and budget. Attempt has been made in this paper to identify critical risks associated with Dasu HPP and their mitigation measure to complete the project within predefined time and budget. The research methodology involved the questionnaire survey for identification of potential risks with their probabilities and impact. Pert-Master (Oracle Risk) software was used for simulation purposes. After feeding all data in the software, Monte Carlo simulation was run at 1,000 iterations to generate most probable duration of project, most probable cost of the project, critical risks sensitive to duration, critical risk sensitive to cost and statistically analyzed critical tasks/activities, which need due consideration for successful completion of project. Simulated schedule and budget was compared with planned one to find possible deviations, which may be eliminated by using mitigation measures proposed in the last section of the paper.
Authors and Affiliations
S. Mubin, E. Gavrishyk
Analysis of Booth Multiplier based Conventional and Short Word Length FIR Filter
The optimized implantation of digital filters has remained one of the challenging tasks, for FPGA (Field- Programmable Gate Array) based system designers, due to the involvement of very complex circuitry for multiplicati...
Role of Situational Agile Distributed Model to Support Modern Software Development Teams
ADSD (Agile Distributed Software Development) is a growing trend for software development organizations to develop quality software with limited cost and time. However, it gives rise to additional situational challenges....
Implementation of Tuned Schema Merging Approach
Schema merging is a process of integrating multiple data sources into a GCS (Global Conceptual Schema). It is pivotal to various application domains, like data ware housing and multi-databases. Schema merging requires th...
Optimizing Electricity Load and Cost for Demand Side Management in Smart Grid
This paper proposes a mechanism for OELC (Optimizing Electricity Load and Cost) for smart grid. The load of every smart home is predicted one-hour prior to their actual usage. To fulfill PL (Predicted Load) of each consu...
Automated Generation of OCL Constraints: NL based Approach vs Pattern Based Approach
This paper presents an approach used for automated generations of software constraints. In this model, the SBVR (Semantics of Business Vocabulary and Rules) based semi-formal representation is obtained from the syntactic...