Evaluation of budgeting methods for maintenance of heritage buildings

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dc.contributor.author Lekarapa, Martin
dc.contributor.author Grobbelaar, Schalk
dc.date.accessioned 2023-02-22T07:53:01Z
dc.date.available 2023-02-22T07:53:01Z
dc.date.issued 2022-11-11
dc.description.abstract Heritage buildings have evolved into development catalysts that, when properly maintained, can improve their surrounding area’s liveability while sustaining productivity in an ever-changing global context. Unfortunately, the high uncertainty involved in preserving heritage buildings frequently leads to over-budget projects. This article evaluates the factors that contribute to projects being over budget and the methods used to develop project budgets. History-based budgeting methods, value-oriented budgeting methods, analytical budgeting methods, and budgeting by condition description are frequently used, while new artificial intelligence models are also emerging. In addition, the review considers the Monte Carlo method and compares it with artificial intelligence models. Considering the high uncertainty involved when maintaining heritage buildings, it is concluded that the Monte Carlo method could be a very effective tool. For this reason, it is recommended that its use be tested on heritage building projects. en_US
dc.description.abstract Erfenisgeboue het ontwikkel in ontwikkelingskatalisators wat wanneer behoorlik onderhou word hul die omliggende gebiede se leefbaarheid kan verbeter terwyl produktiwiteit in 'n voortdurend veranderende globale konteks volgehou word. Ongelukkig lei die hoë onsekerheid verbonde aan die bewaring van erfenisgeboue dikwels tot projekte wat hul begroting oorskrei. Hierdie artikel evalueer die faktore wat daartoe bydra dat projekte oorspandeer en die metodes wat gebruik word om projekbegrotings te ontwikkel. Geskiedenisgebaseerde begrotingsmetodes, waardegeoriënteerde begrotingsmetodes, analitiese begrotingsmetodes en begroting volgens toestandbeskrywing word gereeld gebruik, terwyl nuwe kunsmatige intelligensie modelle ook na vore kom. Daarbenewens word die Monte Carlo methode oorweeg en met kunsmatige intelligensie-modelle vergelyk. Met inagneming van die hoë onsekerheid wat betrokke is by die instandhouding van erfenisgeboue, word tot die gevolgtrekking gekom dat die Monte Carlo metode 'n baie effektiewe hulpmiddel kan wees. Om hierdie rede word aanbeveel dat die gebruik daarvan op erfenisbouprojekte getoets word. en_US
dc.description.department Graduate School of Technology Management (GSTM) en_US
dc.description.librarian am2023 en_US
dc.description.uri http://sajie.journals.ac.za/pub en_US
dc.identifier.citation Lekarapa, M. & Grobbelaar, S. 2022, 'Evaluation of budgeting methods for maintenance of heritage buildings', South African Journal of Industrial Engineering, vol. 33, no. 3, pp. 96-108, doi : 10.7166/33-3-2794. en_US
dc.identifier.issn 1012-277X (print)
dc.identifier.issn 2224-7890 (online)
dc.identifier.other 10.7166/33-3-2794
dc.identifier.uri https://repository.up.ac.za/handle/2263/89748
dc.language.iso en en_US
dc.publisher Southern African Institute for Industrial Engineering en_US
dc.rights © 2022 Martin Lekarapa, Schalk Grobbelaar. This article is licensed under a Creative Commons Attribution License. en_US
dc.subject Heritage buildings en_US
dc.subject Productivity en_US
dc.subject Monte Carlo method en_US
dc.subject Erfenisgeboue en_US
dc.subject Produktiwiteit en_US
dc.subject Monte Carlo methode en_US
dc.title Evaluation of budgeting methods for maintenance of heritage buildings en_US
dc.type Article en_US


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