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Identification of factors shaping tender prices for lightweight curtain walls

Treść / Zawartość
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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
A reliable estimation of the tender prices for lightweight curtain walls is a complex and time-consuming process for the contractor, as it depends on many factors related to both the technical parameters of the designed façade and the investor’s requirements for the solutions selected. The aim of the paper is to identify the factors affecting the costs of manufacturing lightweight curtain walls. Data regarding the complexity of curtain wall construction costs was obtained on the basis of the analysis of project documentation, cost estimates and as-built accounts for selected 50 public buildings. The authors identified the factors affecting the costs of aluminum-glass facades and ventilated facades. Their identification is the first element necessary to develop a new method of predicting the costs of implementation of such types of facade which are included in the authors’ research plans.
Rocznik
Strony
171--182
Opis fizyczny
Bibliogr. 22 poz., rys., tab., wykr.
Twórcy
  • Politechnika Krakowska, Wydział Inżynierii Lądowe, Instytut Zarządzania w Budownictwie, ul. Warszawska 24, 31-155 Kraków, Poland
  • Politechnika Krakowska, Wydział Inżynierii Lądowe, Instytut Zarządzania w Budownictwie, ul. Warszawska 24, 31-155 Kraków, Poland
  • Politechnika Krakowska, Wydział Inżynierii Lądowe, Instytut Zarządzania w Budownictwie, ul. Warszawska 24, 31-155 Kraków, Poland
Bibliografia
  • ETAG 034 (2010). Guideline for European technical approval of kits for external wall claddings. Part I: ventilated cladding and associated fixings. Brussel: European Organisation of Technical Approvals.
  • Grzyl, B., Miszewska-Urbańska, E. & Apollo, M. (2017). Building Information Modelling as an opportunity and risk for stakeholders involved in construction investment process. Procedia Engineering, 196, 1026-1033.
  • Hanak, T. & Korytarova, J. (2018). Subsidy risk related to construction projects: seeking causes. Open Engineering, 8(1), 484-489.
  • Hoła, B. (2015). Identification and evaluation of processes in a construction enterprise. Archives of Civil and Mechanical Engineering, 15(2), 419-426.
  • Hoła, B. & Szóstak, M. (2015). Analysis of the state of the accident rate in the construction industry in European Union countries. Archives of Civil Engineering, 61(4), 19-34.
  • Ibadov, N. & Kulejewski, J. (2015). Evaluation of the project timeliness with fuzzy constraints. AIP Conference Proceedings, 1648(1), 600002.
  • Juszczyk, M., Kozik, R., Leśniak, A., Plebankiewicz, E. & Zima, K. (2014). Errors in the preparation of design documentation in public procurement in Poland. Procedia Engineering, 85, 283-292.
  • Juszczyk, M., Leśniak, A. & Zima, K. (2018). ANN Based Approach for Estimation of Construction Costs of Sports Fields. Complexity, 1, 1-11. DOI 10.1155/2018/7952434
  • Kapliński, O. (2018). Innovative solutions in construction industry. Review of 2016-2018 events and trends. Engineering Structures and Technologies, 10(1), 27-33.
  • Kasprowicz, T. (2007). Inżynieria przedsięwzięć budowlanych [Engineering of construction projects]. In O. Kapliński (ed.), Metody i modele badań w inżynierii przedsięwzięć budowlanych [Methods and models of research in Engineering of Construction Projects]. Warszawa: PAN KILiW, IPPT [in Polish].
  • Kozlovska, M., Mackova, D. & Spisakova, M. (2016). Survey of Construction Management Documentation Usage in Planning and Construction of Building Project. Procedia Engineering, 161, 711-715.
  • Krzemiński, M. (2017). Optimization of work schedules executed using the flow shop model, assuming multitasking performed by work crews. Archives of Civil Engineering, 63(4), 3-19.
  • Lendo-Siwicka, M., Połoński, M. & Pawluk, K. (2016). Identification of the interference in the investment process during the realization of a shopping centre – a case study. Archives of Civil Engineering, 62(1), 159-172.
  • Leśniak, A. & Górka, M. (2018). Evaluation of selected lightweight curtain wall solution using multi criteria analysis. AIP Conference Proceedings, 1, 240003.
  • Leśniak, A. & Juszczyk, M. (2018). Prediction of site overhead costs with the use of artificial neural network based model. Archives of Civil and Mechanical Engineering, 18(3), 973-982. DOI 10.1016/j.acme.2018.01.014
  • Leśniak, A. & Zima, K. (2018). Cost calculation of construction projects including sustainability factors using the Case Based Reasoning [CBR] method. Sustainability, 10(5), 1608. DOI 10.3390/su10051608
  • Mrówczyńska, M. (2011). Neural networks and neuro-fuzzy systems applied to the analysis of selected problems of geodesy. Computer Assisted Mechanics and Engineering Sciences, 18(3), 161-173.
  • Nowogońska, B. & Cibis, J. (2017). Technical problems of residential construction. IOP Conference Series: Materials Science and Engineering, 245(5), 052042.
  • Nowotarski, P., Pasławski, J. & Matyja, J. (2016). Improving Construction Processes Using Lean Management Methodologies – Cost Case Study. Procedia Engineering, 161, 1037-1042.
  • PN-EN 13830:2005. Ściany osłonowe. Norma wyrobu [Curtain walls. Product standard]. Warszawa, Polski Komitet Normalizacyjny.
  • Urbańska-Galewska, E. i Kowalski, D. (2016). Lekka obudowa. Część 4 – układy konstrukcyjne [Light curtain walls. Part 4 – Construction systems]. Builder, 20(12), 106-110.
  • Wieczorek, D., Plebankiewicz, E. & Zima, K. (2019). Model estimation of the whole life cost of a building with respect to risk factors. Technological and Economic Development of Economy, 25(1), 20-38.
Uwagi
Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2021).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-26ba8b10-8575-4bb9-8a74-68e28ee99360
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