Effect of Network's Morphology and Merge Bias Correction Procedures on Project Duration Mean and Variance

Many authors have discussed the source of errors in PERT networks as follows: Uncertainty in the mean and variance calculations of (a) activity’s durations and (b) total project duration, and its related distributions. Different corrections formulas and procedures were proposed. In the other hand, t...

Full description

Autores:
Giraldo González, Germán Eduardo
Opina Hernández, Gerardo
Roldán, Fabián
Tipo de recurso:
Article of journal
Fecha de publicación:
2014
Institución:
Escuela Colombiana de Ingeniería Julio Garavito
Repositorio:
Repositorio Institucional ECI
Idioma:
eng
OAI Identifier:
oai:repositorio.escuelaing.edu.co:001/3310
Acceso en línea:
https://repositorio.escuelaing.edu.co/handle/001/3310
https://repositorio.escuelaing.edu.co/
Palabra clave:
Knowledge management
Gestión del conocimiento
Research projects
Proyectos de investigación
Network analysis
Análisis de redes
Evaluation program and review technique
Programa de evaluación y técnica de revisión
Networks
PERT
Mean
Variance
Morphology
Merge bias
Redes
Diferencia
Morfología
Sesgo de fusión
Rights
closedAccess
License
http://purl.org/coar/access_right/c_14cb
Description
Summary:Many authors have discussed the source of errors in PERT networks as follows: Uncertainty in the mean and variance calculations of (a) activity’s durations and (b) total project duration, and its related distributions. Different corrections formulas and procedures were proposed. In the other hand, there’s an existing risk of delay related to the project morphology, in terms of the number of activities, shape and complexity of the project network. However, the relationship of network’s morphology and the uncertainty of the whole project’s duration are poorly studied. In this research, a set of project networks with different morphology were generated and several methods available in literature (original PERT included) were used to estimate the parameters (mean and variance) of total project duration, then comparing them to the Monte Carlo Simulation as a representation of the reality, and the best and most accurate method(s) were chosen.