A critical comparison between CPM and PERT with Monte Carlo simulation in project management and scheduling

2014 ◽  
pp. 11-14
Keyword(s):  
Monte Carlo Simulation ◽  
Monte Carlo ◽  
Project Management ◽  
Critical Comparison ◽  
Project Management And Scheduling

scholarly journals Application of Duration Measure in Quantifying the Sensitivity of Project Returns to Changes in Discount Rates

2019 ◽  
Vol 9 (1) ◽  
pp. 13
Author(s):  
Vahidreza Yousefi ◽  
Siamak Haji Yakhchali ◽  
Jolanta Tamošaitienė
Keyword(s):  
Monte Carlo Simulation ◽  
Risk Management ◽  
Monte Carlo ◽  
Project Management ◽  
Discount Rate ◽  
Construction Projects ◽  
Project Manager ◽  
Management Systems ◽  
Duration Measure ◽  
The Relationship

In this research, the concept of Duration with a new application in project management has been defined. The Duration of each project provides the project manager with a combined measure containing concepts of return, cost and time of the project. Further in this article, the changes in project return, based on different assumptions such as discount rate, have been examined. To examine the effect of the changes in these factors, the Monte Carlo simulation has been used. The relationship between these factors is nonlinear which reflects the great importance of investment on appropriate risk management systems. The data from a set of construction projects have been used in order to verify the results of this study. Similar relationships can be expected to exist in other industries as well.

scholarly journals An application of Earned Value Management (EVM) with Monte Carlo simulation in engineering project management

2019 ◽  
Vol 26 (3) ◽  
Author(s):  
Felipe Kahan Bonato ◽  
Andrei Aparecido de Albuquerque ◽  
Michel Augusto Santana da Paixão
Keyword(s):  
Monte Carlo Simulation ◽  
Monte Carlo ◽  
Project Management ◽  
Routine Activity ◽  
Value Management ◽  
Earned Value ◽  
Engineering Project ◽  
Earned Value Management ◽  
Engineering Project Management ◽  
Expected Benefits

Abstract The fast changes in the Market make companies increasingly focus on project structures. A project differs from a routine activity because it is unique and must be managed and structured to provide expected benefits at no greater cost than anticipated. Therefore, it must be planned and controlled by identifying the deviations between the planned and the accomplished. In order to provide this monitoring, Earned Value Management (EVM) has been increasing accepted. In addition to showing indicators of progress, EVM can be used to forecast the project's final costs through simulated scenarios. This work aims to integrate and apply EVM with Monte Carlo simulation to predict the final costs of three detailed engineering projects, evaluating the performance of the model and the projects, in each specific case study. The results of the three projects simulations were evaluated in a qualitative and comparative way, showing that the integration between the tools generates useful forecasts for project management.

Electron Scattering in Solids

1990 ◽  
Vol 48 (2) ◽  
pp. 4-5
Author(s):  
Ryuichi Shimizu ◽  
Ze-Jun Ding
Keyword(s):  
Monte Carlo Simulation ◽  
Monte Carlo ◽  
Angular Distribution ◽  
Elastic Scattering ◽  
Electron Scattering ◽  
Cross Sections ◽  
Expansion Method ◽  
Electron Excitation ◽  
Partial Wave Expansion ◽  
Backscattered Electrons

Monte Carlo simulation has been becoming most powerful tool to describe the electron scattering in solids, leading to more comprehensive understanding of the complicated mechanism of generation of various types of signals for microbeam analysis.The present paper proposes a practical model for the Monte Carlo simulation of scattering processes of a penetrating electron and the generation of the slow secondaries in solids. The model is based on the combined use of Gryzinski’s inner-shell electron excitation function and the dielectric function for taking into account the valence electron contribution in inelastic scattering processes, while the cross-sections derived by partial wave expansion method are used for describing elastic scattering processes. An improvement of the use of this elastic scattering cross-section can be seen in the success to describe the anisotropy of angular distribution of elastically backscattered electrons from Au in low energy region, shown in Fig.l. Fig.l(a) shows the elastic cross-sections of 600 eV electron for single Au-atom, clearly indicating that the angular distribution is no more smooth as expected from Rutherford scattering formula, but has the socalled lobes appearing at the large scattering angle.

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