Evaluation of budgeting methods for maintenance of heritage buildings

dc.contributor.authorLekarapa, Martin
dc.contributor.authorGrobbelaar, Schalk
dc.contributor.emailschalk.grobbelaar@up.ac.zaen_US
dc.date.accessioned2023-02-22T07:53:01Z
dc.date.available2023-02-22T07:53:01Z
dc.date.issued2022-11-11
dc.description.abstractHeritage 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.abstractErfenisgeboue 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.departmentGraduate School of Technology Management (GSTM)en_US
dc.description.librarianam2023en_US
dc.description.urihttp://sajie.journals.ac.za/puben_US
dc.identifier.citationLekarapa, 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.issn1012-277X (print)
dc.identifier.issn2224-7890 (online)
dc.identifier.other10.7166/33-3-2794
dc.identifier.urihttps://repository.up.ac.za/handle/2263/89748
dc.language.isoenen_US
dc.publisherSouthern African Institute for Industrial Engineeringen_US
dc.rights© 2022 Martin Lekarapa, Schalk Grobbelaar. This article is licensed under a Creative Commons Attribution License.en_US
dc.subjectHeritage buildingsen_US
dc.subjectProductivityen_US
dc.subjectMonte Carlo methoden_US
dc.subjectErfenisgeboueen_US
dc.subjectProduktiwiteiten_US
dc.subjectMonte Carlo methodeen_US
dc.titleEvaluation of budgeting methods for maintenance of heritage buildingsen_US
dc.typeArticleen_US

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