DocumentCode
2618698
Title
Simulation tool for manpower forecast loading and resource leveling
Author
Hanna, Mikhail ; Ruwanpura, Janaka Y.
Author_Institution
Univ. of Calgary, Calgary
fYear
2007
fDate
9-12 Dec. 2007
Firstpage
2099
Lastpage
2103
Abstract
Large scale/mega projects are lengthy complex endeavors that require significant planning by management, engineers and construction personnel to ensure the success of the project. When we examine the state of mega projects today, we are faced with a real crisis. Companies, both client and contractor, are reporting significant cost and schedule overruns. Lack of project scope definition and planning are the primary characteristics of this problem. Computer simulation is a powerful tool for analyzing complex and dynamic scenarios. It provides an appealing approach for the analysis of repetitive processes. Simulation helps decision makers identify different possible options by analyzing enormous amounts of data. Hence, computer simulation can be used effectively to analyze the resource loading and manpower requirements needed to complete a task in a given time frame, based on current progress levels. This paper discusses a special- purpose simulation (SPS) tool for optimization of manpower forecast loading and resource leveling. The simulation model is capable of optimizing resource requirements for a petrochemical project, based on standard discipline requirements and involvements. Tests of this simulation tool have produced exceptional results; currently, the system is being modified to incorporate historical data within the simulation.
Keywords
chemical industry; digital simulation; human resource management; labour resources; optimisation; petrochemicals; petroleum industry; planning; project management; manpower forecast loading; optimization; petrochemical project planning; resource leveling; special-purpose simulation tool; Computational modeling; Computer simulation; Costs; Crisis management; Engineering management; Large-scale systems; Load forecasting; Personnel; Predictive models; Project management;
fLanguage
English
Publisher
ieee
Conference_Titel
Simulation Conference, 2007 Winter
Conference_Location
Washington, DC
Print_ISBN
978-1-4244-1306-5
Electronic_ISBN
978-1-4244-1306-5
Type
conf
DOI
10.1109/WSC.2007.4419842
Filename
4419842
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