loading
Documents

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Bajis M. Dodin 1 and Abdelghani A. Elimam 2

Affiliations: 1 Alfaisal University, Saudi Arabia ; 2 American University in Cairo, Egypt

ISBN: 978-989-758-120-5

Keyword(s): Probabilistic Durations, Network Structure, Simulation, Sample Size, Project Variance.

Related Ontology Subjects/Areas/Topics: Application Domains ; Artificial Intelligence ; Business Analytics ; Cardiovascular Technologies ; Case Studies ; Computing and Telecommunications in Cardiology ; Construction Engineering and Project Management ; Data Engineering ; Decision Support Systems ; Decision Support Systems, Remote Data Analysis ; Domain-Specific Tools ; Formal Methods ; Health Engineering and Technology Applications ; Knowledge-Based Systems ; Neural Rehabilitation ; Neurotechnology, Electronics and Informatics ; Simulation and Modeling ; Simulation Tools and Platforms ; Stochastic Modeling and Simulation ; Symbolic Systems

Abstract: Stochastic Activity Networks (SANs) are used in modeling and managing projects that are characterized by uncertainty. SANs are primarily managed using Monte Carlo Sampling (MCS). The accuracy of the results obtained from MCS depends on the sample size. So far the required sample size has been determined arbitrarily and independent of the characteristics of the SAN such as the number of activities and their underlying distributions, number of paths, and the structure of the SAN. In this paper we show that the accuracy of the SANs simulation results would depend on the sample size. Contrary to existing practices, we show that such sample size must reflect the project size and structure, as well as the number of activities. We propose an optimization-based approach to determine the project variance, which in turn is used to determine the number of replications in SAN simulations.

PDF ImageFull Text

Download
CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 34.238.194.166

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
M. Dodin, B.; A. Elimam, A. and A. Elimam, A. (2015). Simulation of Stochastic Activity Networks.In Proceedings of the 5th International Conference on Simulation and Modeling Methodologies, Technologies and Applications - Volume 1: SIMULTECH, ISBN 978-989-758-120-5, pages 205-211. DOI: 10.5220/0005561502050211

@conference{simultech15,
author={Bajis M. Dodin. and Abdelghani A. Elimam. and Abdelghani A. Elimam.},
title={Simulation of Stochastic Activity Networks},
booktitle={Proceedings of the 5th International Conference on Simulation and Modeling Methodologies, Technologies and Applications - Volume 1: SIMULTECH,},
year={2015},
pages={205-211},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005561502050211},
isbn={978-989-758-120-5},
}

TY - CONF

JO - Proceedings of the 5th International Conference on Simulation and Modeling Methodologies, Technologies and Applications - Volume 1: SIMULTECH,
TI - Simulation of Stochastic Activity Networks
SN - 978-989-758-120-5
AU - M. Dodin, B.
AU - A. Elimam, A.
AU - A. Elimam, A.
PY - 2015
SP - 205
EP - 211
DO - 10.5220/0005561502050211

Login or register to post comments.

Comments on this Paper: Be the first to review this paper.