A Quantitative Measure For Evaluating Project Uncertainty Under Variation And Risk Effects

Journal Title: Engineering, Technology & Applied Science Research - Year 2017, Vol 7, Issue 5

Abstract

The effects of uncertainty on a project and the risk event as the consequence of uncertainty are analyzed. The uncertainty index is proposed as a quantitative measure for evaluating the uncertainty of a project. This is done by employing entropy as the indicator of system disorder and lack of information. By employing this index, the uncertainty of each activity and its increase due to risk effects as well as project uncertainty changes as a function of time can be assessed. The results are implemented and analyzed for a small turbojet engine development project as the case study. The results of this study can be useful for project managers and other stakeholders for selecting the most effective risk management and uncertainty controlling method.

Authors and Affiliations

A. Chenarani, E. A. Druzhinin

Keywords

Related Articles

Car Black Box with Speed Control in Desired Areas for Collision Avoidance

This paper presents an advanced step to the concept of car black-box in developing a comprehensive vehicle safety system which would not only record the video and audio, but also try to prevent a possible collision by li...

Improved Genetic and Simulating Annealing Algorithms to Solve the Traveling Salesman Problem Using Constraint Programming

The Traveling Salesman Problem (TSP) is an integer programming problem that falls into the category of NP-Hard problems. As the problem become larger, there is no guarantee that optimal tours will be found within reasona...

A Comparative Analysis Between Optimized and Baseline High Pressure Compressor Stages Using Tridimensional Computational Fluid Dynamics

Re-vamping of industrial turbo-machinery is commonplace in the oil and gas industry in applications where subterranean combustion is used for oil extraction. The current case study refers to such an industrial compressor...

Cumulative Effect of Crumb Rubber and Steel Fiber on the Flexural Toughness of Concrete

Concrete properties, such as toughness and ductility, are enhanced to resist different impacts or blast loads. Rubberized concrete, which could be considered a green material, is produced from recycled waste tires grinde...

A Novel Energy Efficient Clustering Algorithm for Wireless Sensor Networks

Wireless sensor networks (WSNs) are composed of huge amount of tiny resource constrained devices known as sensors. The demand for an energy efficient structure is becoming gradually more essential in WSNs. Energy efficie...

Download PDF file
  • EP ID EP154808
  • DOI -
  • Views 228
  • Downloads 0

How To Cite

A. Chenarani, E. A. Druzhinin (2017). A Quantitative Measure For Evaluating Project Uncertainty Under Variation And Risk Effects. Engineering, Technology & Applied Science Research, 7(5), -. https://europub.co.uk/articles/-A-154808