DocumentCode :
239576
Title :
Bi-level project simulation methodology to integrate superintendent and project manager in decision making: Shutdown/turnaround applications
Author :
Siu, Ming-Fung Francis ; Ming Lu ; AbouRizk, Simaan
Author_Institution :
Dept. of Civil & Environ. Eng., Univ. of Alberta, Edmonton, AB, Canada
fYear :
2014
fDate :
7-10 Dec. 2014
Firstpage :
3353
Lastpage :
3364
Abstract :
The critical path method (CPM) provides the standard approach to scheduling construction projects. Limited crew resources compound CPM analysis by imposing resource availability constraints. However, there is no generalized methodology yet to quantitatively determine the optimal quantities of resources to execute specific work packages based on CPM analysis. Furthermore, in project evaluation and review technique (PERT) simulation, the occurrence of uncertain events is represented by probability distributions for activity durations in an implicit fashion. In this paper, a bi-level project simulation methodology is proposed to (1) determine the optimal resource quantities and activity times for each work package and (2) estimate total project duration and man-hour budget at the upper level for project planning through Monte Carlo simulation, based on defining a limited quantity of likely scenarios for each work package. An industrial plant shutdown and turnaround project serves as case study to illustrate application of the proposed methodology.
Keywords :
Monte Carlo methods; construction industry; decision making; project management; scheduling; statistical distributions; CPM analysis; Monte Carlo simulation; PERT simulation; bi-level project simulation methodology; construction project scheduling; critical path method; decision making; industrial plant shutdown; man-hour budget; probability distribution; project duration estimation; project evaluation and review technique; project manager; project planning; resource availability constraints; shutdown application; superintendent; turnaround application; work package; Analytical models; Job shop scheduling; Optimization; Resource management; Schedules; Welding;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Simulation Conference (WSC), 2014 Winter
Conference_Location :
Savanah, GA
Print_ISBN :
978-1-4799-7484-9
Type :
conf
DOI :
10.1109/WSC.2014.7020169
Filename :
7020169
Link To Document :
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