A Dynamic Intelligent Decision Approach to Dependency Modeling of Project Tasks in Complex Engineering System Optimization
Joint Authors
Source
Mathematical Problems in Engineering
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-04-28
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Abstract EN
Complex engineering system optimization usually involves multiple projects or tasks.
On the one hand, dependency modeling among projects or tasks highlights structures in systems and their environments which can help to understand the implications of connectivity on different aspects of system performance and also assist in designing, optimizing, and maintaining complex systems.
On the other hand, multiple projects or tasks are either happening at the same time or scheduled into a sequence in order to use common resources.
In this paper, we propose a dynamic intelligent decision approach to dependency modeling of project tasks in complex engineering system optimization.
The approach takes this decision process as a two-stage decision-making problem.
In the first stage, a task clustering approach based on modularization is proposed so as to find out a suitable decomposition scheme for a large-scale project.
In the second stage, according to the decomposition result, a discrete artificial bee colony (ABC) algorithm inspired by the intelligent foraging behavior of honeybees is developed for the resource constrained multiproject scheduling problem.
Finally, a certain case from an engineering design of a chemical processing system is utilized to help to understand the proposed approach.
American Psychological Association (APA)
Chen, Tinggui& Xiao, Renbin. 2013. A Dynamic Intelligent Decision Approach to Dependency Modeling of Project Tasks in Complex Engineering System Optimization. Mathematical Problems in Engineering،Vol. 2013, no. 2013, pp.1-12.
https://search.emarefa.net/detail/BIM-1009241
Modern Language Association (MLA)
Chen, Tinggui& Xiao, Renbin. A Dynamic Intelligent Decision Approach to Dependency Modeling of Project Tasks in Complex Engineering System Optimization. Mathematical Problems in Engineering No. 2013 (2013), pp.1-12.
https://search.emarefa.net/detail/BIM-1009241
American Medical Association (AMA)
Chen, Tinggui& Xiao, Renbin. A Dynamic Intelligent Decision Approach to Dependency Modeling of Project Tasks in Complex Engineering System Optimization. Mathematical Problems in Engineering. 2013. Vol. 2013, no. 2013, pp.1-12.
https://search.emarefa.net/detail/BIM-1009241
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1009241