DocumentCode
1825756
Title
A hierarchical constraint-based approach to modeling construction and manufacturing processes
Author
Flood, Ian
Author_Institution
Rinker Sch., Univ. of Florida, Gainesville, FL, USA
fYear
2009
fDate
13-16 Dec. 2009
Firstpage
2583
Lastpage
2592
Abstract
Modeling construction processes is an essential part of project planning and control. Most modeling exercises use the Critical Path Method (CPM) since it is simple to use and versatile. Almost all other modeling techniques are aimed at specialized types of construction work, such as linear scheduling which is used for modeling work that progresses along a line. Discrete-event simulation has also been used for construction modeling, and while it is extremely versatile, it lacks the simplicity in use of CPM and so has not been widely adopted within the industry. This paper goes back to first principles, identifying the needs of construction project planning and how existing tools meet (or fail to meet) these requirements. Based on this, a new modeling paradigm is proposed that is better suited to the needs of contemporary construction project planning. The principles of the method are demonstrated in application to three example construction projects.
Keywords
construction industry; critical path analysis; discrete event simulation; process control; production control; production planning; project management; scheduling; CPM; construction processes; construction work; critical path method; discrete event simulation; hierarchical constraint-based approach; linear scheduling; manufacturing processes; project control; project planning; Construction industry; Educational institutions; Floods; Job shop scheduling; Manufacturing processes; Meeting planning; Process planning; Road transportation; Software packages; Visualization;
fLanguage
English
Publisher
ieee
Conference_Titel
Simulation Conference (WSC), Proceedings of the 2009 Winter
Conference_Location
Austin, TX
Print_ISBN
978-1-4244-5770-0
Type
conf
DOI
10.1109/WSC.2009.5429675
Filename
5429675
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