원문정보
보안공학연구지원센터(IJUNESST)
International Journal of u- and e- Service, Science and Technology
Vol.8 No.9
2015.09
pp.381-390
피인용수 : 0건 (자료제공 : 네이버학술정보)
초록
영어
The complexity and turbulence of a project may lead to its unpredictability, so risk management is increasingly important. This paper focuses on the application of Monte Carlo method in project management as follow: first, deals with the estimated scale with Wide band Delphi method and gets the interval of prediction after making repeated samples in line with the generally adopted probability models; then figures out the workloads according to the management abilities and historical date; finally obtains the progress of the project with a method combining COCOMOⅡ method and then improves the ability to predict and control management activities with uncertainties.
목차
Abstract
1. Introduction
2. Monte Carlo Method
2.1 Introduction of Monte Carlo Method
2.2 Definitions of Monte Carlo Method
2.3Calculation of Monte Carlo Method
2.4 Matlab Introduction
3. The Basic Steps OF Monte Carlo Method
3.2 Estimating the Workload
3.3 Estimate Progress of the Project
4. Analysis and Deduction
4.1 Estimating Scale of the Project
4.2 Estimating the Workload
4.3 Estimate Progress of the Project
5. Conclusions
References
1. Introduction
2. Monte Carlo Method
2.1 Introduction of Monte Carlo Method
2.2 Definitions of Monte Carlo Method
2.3Calculation of Monte Carlo Method
2.4 Matlab Introduction
3. The Basic Steps OF Monte Carlo Method
3.2 Estimating the Workload
3.3 Estimate Progress of the Project
4. Analysis and Deduction
4.1 Estimating Scale of the Project
4.2 Estimating the Workload
4.3 Estimate Progress of the Project
5. Conclusions
References
키워드
저자정보
참고문헌
자료제공 : 네이버학술정보