Improving project schedule estimates using historical data and simulation

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dc.contributor.author Meyer, P.H.
dc.contributor.author Visser, J.K. (Jacobus)
dc.date.accessioned 2009-10-27T06:03:22Z
dc.date.available 2009-10-27T06:03:22Z
dc.date.issued 2006-05
dc.description 11 pages en_US
dc.description.abstract Many projects are not completed on time or within the original budget. This is caused by uncertainty in project variables as well as the occurrence of risk events. A study was done to determine ways of measuring the risk in development projects executed by a mining company in South Africa. The main objective of the study was to determine whether historical project data would provide a more accurate means of estimating the total project duration. Original estimates and actual completion times for tasks of a number of projects were analysed and compared. The results of the study indicated that a more accurate total duration for a project could be obtained by making use of historical project data. The accuracy of estimates could be improved further by building a comprehensive project schedule database within a specific industry. en
dc.description.abstract Verskeie projekte word nie binne die oorspronklike skedule of begroting voltooi nie. Dit word dikwels veroorsaak deur onsekerheid oor projekveranderlikes en die voorkoms van risiko’s. 'n Studie is gedoen om 'n metode te ontwikkel om risiko te meet vir ontwikkelingsprojekte van 'n mynmaatskappy in Suid Afrika. Die hoofdoel van die studie was om te bepaal of historiese projekdata gebruik kon word om 'n akkurater tydsduur vir 'n projek te beraam. Die geraamde tydsduur van take vir 'n aantal projekte is ontleed en vergelyk met die werklike tydsduur. Die resultate van die studie het getoon dat 'n akkurater totale tydsduur vir die projek verkry kon word deur gebruik te maak van historiese projekdata. Die akkuraatheid kan verder verbeter word deur 'n databasis van projekskedules vir 'n bepaalde industrie te ontwikkel en by die datum te hou. af
dc.identifier.citation Meyer, PH & Visser, JK 2006, ‘Improving project schedule estimates using historical data and simulation', South African Journal of Industrial Engineering, vol. 17, no. 1, pp. 27-37. [http://www.journals.co.za/ej/ejour_indeng.html] en_US
dc.identifier.issn 1012-277X
dc.identifier.uri http://hdl.handle.net/2263/11584
dc.language.iso en en_US
dc.publisher Southern African Institute for Industrial Engineering en_US
dc.rights Southern African Institute for Industrial Engineering en_US
dc.subject Historical data simulation en
dc.subject.lcsh Production scheduling -- Estimates en
dc.subject.lcsh Mineral industries -- Risk management -- South Africa en
dc.subject.lcsh Production scheduling -- Simulation methods en
dc.subject.lcsh Industries -- Databases en
dc.title Improving project schedule estimates using historical data and simulation en_US
dc.type Article en_US


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