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Models for estimating costs of public buildings maintaining - review and assessment

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Identyfikatory
Warianty tytułu
PL
Modele szacowania kosztów utrzymania budynków publicznych - Przegląd i ocena
Języki publikacji
EN
Abstrakty
EN
Planning maintenance costs is not an easy task. The amount of costs depends on many factors, such as value, age, condition of the property, availability of necessary resources and adopted maintenance strategy. The paper presents a selection of models which allow to estimate the costs of building maintenance, which are then applied to an exemplary office building. The two of the models allow a quick estimation of the budget for the maintenance of the building, following only indicative values. Two other methods take into account the change in the value of money over time and allow to estimate, assuming the adopted strategy and assumed costs, the value of the current amount allocated to the maintenance of the building. The final model is based on the assumptions provided for in Polish legislation. Due to significant simplifications in the models, the obtained results are characterized by a considerable discrepancy. However, they may form the basis for the initial budget planning related to the maintenance of the building. The choice of the method is left to the decision makers, but it is important what input data the decision maker has and the purpose for which he performs the cost calculation.
PL
Najdłuższą i zarazem najbardziej złożoną z punktu widzenia wyznaczenia ponoszonych kosztów fazą cyklu życia budynku, jest faza eksploatacji. Pojecie “eksploatacja obiektu budowlanego” nie jest jednoznacznie zdefiniowane w przepisach prawa. W praktycznym rozumieniu jest to działalność techniczo-ekonomiczna dotycząca obiektu, podejmowana wraz z jego wytworzeniem i podjęciem użytkowania a kończąca się wraz z jego fizyczną likwidacją. Eksploatacja obiektu budowlanego ma na celu umożliwianie temu obiektowi wypełniania wymaganych funkcji (zgodnych z jego przeznaczeniem), włącznie z koniecznym jego dostosowaniem, w czasie istnienia obiektu, do zmian warunków zewnętrznych. Eksploatacja obiektu budowlanego jest procesem, obejmującym zespół działań technicznych, ekonomicznych i społecznych, które powinny być właściwie zorganizowane. W procesie eksploatacji obiektu budowlanego, można wyróżnić takie podstawowe rodzaje działań jak użytkowanie, obsługiwanie (utrzymywanie), zarządzanie, zasilanie oraz usuwanie odpadów. Głównym celem utrzymania budynku jest jego zachowanie w początkowym stanie, aby skutecznie spełniał swój cel, o ile jest to wykonalne. W związku z naturalnym procesem obniżania wartości użytkowych obiektu w czasie, konieczne staje się przeprowadzanie robót budowlanych przywracających obiektom budowlanym cechy techniczne i użytkowe. Planowanie kosztów związanych z utrzymaniem budynków nie jest zadaniem łatwym. Wysokość kosztów uzależniona jest od wielu czynników, w tym m.in. od przyjętej strategii utrzymania budynków. W artykule zaprezentowane oraz porównane zostały wybrane proste modele pozwalające na oszacowanie kosztów utrzymania budynków: - Model CPV autorstwa Krafta; - Model odnowienie obiektów; - Model bazujący na wyznaczeniu NPV; - Model bazujący na wyznaczeniu rozmytego NPV; - Model bazujący na polskich przepisach prawnych.
Rocznik
Strony
335--351
Opis fizyczny
Bibliogr. 46 poz., il., tab.
Twórcy
  • Cracow University of Technology, Faculty of Civil Engineering, Kraków, Poland
  • Cracow University of Technology, Faculty of Civil Engineering, Kraków, Poland
autor
  • Brno University of Technology, Faculty of Civil Engineering, Brno, Czech Republik
autor
  • Brno University of Technology, Faculty of Civil Engineering, Brno, Czech Republik
Bibliografia
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  • [17] C.K.H. Hon, A.P.C. Chan, M.C.H. Yam, “Relationships between safety climate and safety performance of building repair, maintenance, minor alteration, and addition (RMAA) works”, Safety Science, 2014, vol. 65, no. 6, pp.10-19.
  • [18] R.M.W. Horner, M.A. El-Haram, A.K. Munns, “Building maintenance strategy: a new management approach”, Journal of Quality in Maintenance Engineering, 1997, vol. 3, no. 4, pp. 273-280, DOI: 10.1108/13552519710176881.
  • [19] D.E. Ighravwea, A.O. Sunday, “A multi-criteria decision-making framework for selecting a suitable maintenance strategy for public buildings using sustainability criteria”, Journal of Building Engineering, 2019, vol. 24, pp. 100753, DOI: 10.1016/j.jobe.2019.100753.
  • [20] ISO 15686-5:2017 Buildings and constructed assets - Service life planning Part 5: life cycle costing.
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  • [22] J. Konior, “Technical assessment of old buildings by fuzzy approach”, Archives of Civil Engineering, 2019, vol. 65, no. 1, pp. 129-142, DOI: 10.2478/ace-2019-0009.
  • [23] J. Korytárová, V. Hromádka, E. Vítková, L. Kozumplíková, “Economic Efficiency of Large-Scale Infrastructure Projects in the Czech Republic”, Proceedings of Second International Conference on Traffic and Transport Engineering (ICTTE), 2014, pp. 608-615.
  • [24] W.W. Kraft, “Budgeting for maintenance should be based on present replacement cost”, College&University Business, 1950, vol. 8, no. 5, pp. 37-43.
  • [25] J. Kulejewski, N. Ibadov, M. Krzemiński, “Scheduling Construction Projects Under Fuzzy Modelling of Resource Constraints”, MATEC Web of Conferences, EDP Sciences, 2018, vol. 196, DOI: 10.1051/matecconf/ 201819604045.
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  • [27] H.A.A.L. Laham, D. Dalalah, “Developing a model for the optimization of maintenance costs in commercial buildings in UAE”, Proceedings of the 5th NA International Conference on Industrial Engineering and Operations Management Detroit, Michigan, USA, August 10-14. 2020.
  • [28] S. Lavy, I.M. Shohet, “On the effect of service life conditions on the maintenance costs of healthcare facilities”, Construction Management and Economics, 2007, vol. 25, pp. 1087-1098, DOI: 10.1080/01446190701393034.
  • [29] A.T.H. Le, N. Domingo, E. Rasheed, K.S. Park, “Building Maintenance Cost Planning and Estimating: A Literature Review”, in C. Gorse, C.J. Neilson (Eds) Proceeding of the 34th Annual ARCOM Conference, 3-5 September 2018, Belfast, UK, Association of Researchers in Construction Management, 2018, pp. 707-716.
  • [30] A. Leśniak, D. Wieczorek, M. Górka, “Costs of facade systems execution”, Archives of Civil Engineering 2020, vol. 66, no. 1, pp. 81-95, DOI: 10.24425/ace.2020.131776.
  • [31] D.O. Mac-Barango, I.I. Kakulu, “Establishing a maintenance cost profile of residential buildings”, in S. Laryea, R. Leiringer, W. Hughes (Eds), West Africa Built Environment Research (WABER) Conference, 19-21 July 2011, Accra, Ghana, pp. 413-425.
  • [32] B. Mahdi, H. Badri, T.H. Hejazi, “Selecting optimum maintenance strategy by fuzzy interactive linear assignment method”, Applied Mathematical Modelling. 2011, vol. 35, no. 1, pp. 152-164, DOI: 10.1016/j.apm.2010.05.014.
  • [33] M. Sztubecka, M. Skiba, M. Mrówczyńska, A. Bazan-Krzywoszańska, “An innovative decision support system to improve the energy efficiency of buildings in urban Areas”, Remote Sensing, 2020, vol. 12, no. 2, DOI: 10.3390/rs12020259.
  • [34] H.G. Muyingo, “Analysis of factors influencing reported housing maintenance costs in Sweden’s public and private rental sectors”, International Journal of Strategic Property Management, 2017, vol. 21, no. 3, pp. 284-295, DOI: 10.3846/1648715X.2016.1259189.
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  • [36] J. Zięba, L. Buda-Ozóg, I. Skrzypczak, “Probabilistic method and FEM analysis in the design and analysis of cracks widths”, Engineering Structures, 2020, vol. 209, DOI: 10.1016/j.engstruct.2019.110022.
  • [37] A. Otmani, M. Bouabaz, A. Al-Hajj, “Predicting maintenance and rehabilitation cost for buildings based on artificial neural network and fuzzy logic”, International Journal of Computational Intelligence & Applications, 2020, vol.19, no. 1, DOI: 10.1142/S1469026820500017.
  • [38] B.G.R. Ottoman, W.B. Nixon, S.T. Lofgren, “Budgeting for Facility Maintenance and Repair. I: Methods and Models”, Journal of Management in Engineering, 1999, vol. 15, no. 4, pp. 71-83, DOI: 10.1061/(ASCE) 0742-597X(1999)15:4(71).
  • [39] R.H. Peach, J.K. Visser, “Measuring human factors in maintenance: a literature review”, The South African Journal of Industrial Engineering, 2020, vol. 3, no. 4, pp. 104-114, DOI: 10.7166/31-4-2325.
  • [40] E. Plebankiewicz, K. Zima, D. Wieczorek, “Life cycle cost modelling of buildings with consideration of the risk”, Archives of Civil Engineering, 2016, vol. 62, no. 2, pp. 149-166, DOI: 10.1515/ace-2015-0071.
  • [41] R. Ruparathna, K. Hewage, R. Sadiq, “A risk based multi-period maintenance planning approach for public buildings”, Journal of Cleaner Production, 2018, vol. 170, pp. 1338-1353, DOI: 10.1016/j.jclepro.2017.09.178.
  • [42] J. Švajlenka, M. Kozlovská, M. Spišáková, “The benefits of modern method of construction based on wood in the con-text of sustainability”, International Journal of Environmental Science and Technology, 2017, vol.14, no. 8, pp. 1591-1602, DOI: 10.1007/s13762-017-1282-6.
  • [43] The Regulation of the Minister of Investment and Development of 11 July 2018 on the method of calculating the costs of the life cycle of buildings and the method of presenting information on these cost.
  • [44] Preventive Maintenance Program. [Online]. Available: www.onupkeep.com/blog/preventive-maintenance-program. [Accessed: 20.02.2021].
  • [45] J. Yahaghi, “Effect of unprofessional supervision on durability of buildings”, Science and Engineering Ethics, 2018, vol. 24, no. 1, pp. 331-332, DOI: 10.1007/s11948-017-9871-9.
  • [46] S. Zhong, A.A. Pantelous, M. Goh, J. Zhou, “A reliability-and-cost-based fuzzy approach to optimize preventive maintenance scheduling for offshore wind farms”, Mechanical Systems and Signal Processing, 2019, vol. 124, pp. 643-663, DOI: 10.1016/j.ymssp.2019.02.012.
Uwagi
Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2022-2023).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-3b80b49a-5399-4b06-bc55-5e3c4a548d3c
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