Building Information Modelling as an Opportunity and Risk for Stakeholders Involved in Construction Investment Process

Grzyl, Beata; Miszewska-Urbańska, Emilia; Apollo, Magdalena

doi:10.1016/j.proeng.2017.08.045

Cited by 18 publications

(16 citation statements)

References 1 publication

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“…BIM and its applications are currently discussed in different aspects and a wide spectrum of topics related to construction management, for example: assessing buildings redevelopment possibilities (Pavlovskis, Antucheviciene, & Migilinskas, 2017), an ecologically oriented BIM-based design and refurbishment management model (Ustinovichius et al, 2018), opportunities and risks for construction project stakeholders resulting from BIM implementation (Grzyl, Miszewska-Urbańska, & Apollo, 2017), promotion of sustainable solutions through employment of BIM from the point of view of design companies (Reizgevičius, Ustinovičius, Cibulskienė, Kutut, & Nazarko, 2018).…”

Section: State-of-the-art and Literature Reviewmentioning

confidence: 99%

Forecasting of Sports Fields Construction Costs Aided by Ensembles of Neural Networks

Juszczyk

Zima

Lelek

2019

Journal of Civil Engineering and Management

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The paper presents an original approach to construction cost analysis and development of predictive models based on ensembles of artificial neural networks. The research was focused on the application of two alternative approaches of ensemble averaging that allow for combining a number of multilayer perceptron neural networks and developing effective models for cost predictions. The models have been developed for the purpose of forecasting construction costs of sports fields as a specific type of construction objects. The research included simulation and selection of numerous neural networks that became the members of the ensembles. The ensembles included either the networks of different types in terms of their structure and activation functions or the networks of the same type. The research also included practical implementation of the developed models for cost analysis based on a sports field BIM model. This case study examined and confirmed all of the four models’ predictive capabilities and superiority over models based on single networks for the particular problem. Verification including testing and the case study enabled selection of the best ensemble-based model that combined ten networks of different types. The proposed approach is prospective for fast cost analyses and conceptual estimates in construction projects.

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Section: State-of-the-art and Literature Reviewmentioning

confidence: 99%

Forecasting of Sports Fields Construction Costs Aided by Ensembles of Neural Networks

Juszczyk

Zima

Lelek

2019

Journal of Civil Engineering and Management

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“…The world is offered by using BIM technology in the preparation and construction stages, as well as building management. At the same time experts in the construction industry draw attention to the low level of competitiveness of Polish construction companies in global and European markets caused, among other things by the lack of application of modern technology and innovation, as well as the lack of public investor initiative in promoting BIM application [18] As for other studies, popularizing BIM not only attracts the interests of all stakeholders but also carries some risks. For example, financial factors are difficult to detect and control through BIM, information loss during transmission is prominent, and BIM does not have integrated standards and regulations for international construction [19] Based on interviews and research literature, public knowledge about the risks associated with BIM in the Czech Republic, which is a country where BIM has not been used at a general level, has not been high.…”

Section: Risks Of Bim Implementationmentioning

confidence: 99%

Investment, Returns, and Risk of Building Information Modeling (BIM) Implementation in Indonesia’s Construction Project

Yanda*¹,

Amin²,

Soehari³

2019

IJEAT

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 Abstract: In the current development of the construction world, many efforts have been made to improve the quality and quantity of work, both structurally and in construction management. At least the efforts made are efforts to improve and achieve better work results. Technology development is needed, including in the construction world where one form of technology developed in the construction world is BIM (Building Information Modeling). For practitioners who adopt BIM or plan to invest in BIM in their future projects, there is a need to understand BIM's top investment priorities, risks associated after they start using BIM, and ways to increase BIM returns because this problem will influence decision making BIM investment. To overcome this, it is necessary to examine the main priorities of investment in adopting BIM, ways to increase returns on BIM applications, and risks in implementing BIM in developing countries, especially for actors who provide construction services. This study uses the Relative Important Index (RII) statistics to provide advice on how to improve and use BIM for industry professionals MEA or interests interested in investing in BIM or planning to use BIM in their projects.

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“…Doświadczony wykonawca powinien być przygotowany na niespodziewane sytuacje i kalkulować ryzyko już na etapie składania oferty. W literaturze można odnaleźć wiele prac, w których autorzy analizują i poszukają optymalnych rozwiązań w zakresie organizacji przedsięwzięć budowlanych (Hoła, 2015;Grzyl, Miszewska-Urbańska i Apollo, 2017;Lendo-Siwicka, Pawluk, Żerek i Trach, 2018), planowania w czasie (Krzemiński, 2017;Leśniak, Piskorz, Spišáková i Mačková, 2018), bezpieczeństwa pracy (Hoła i Szóstak, 2015), kosztów (Juszczyk, Leśniak i Zima, 2018;, planowania logistyki (Sobotka i Czarnigowska, 2005) czy też stosowania innowacyjnych rozwiązań (Kapliński, 2018). Podejmowane działania zamierzające do zakończenia robót budowlanych z sukcesem powinny redukować ryzyko (Gładysz, Kuchta, Skorupka i Duchaczek, 2015;Plebankiewicz, Zima i Wieczorek, 2016;Kaczorek, Krzemiński i Ibadov, 2017;Kowalski i Połoński, 2018).…”

Section: Wstępunclassified

Roboty dodatkowe w kolejowych przedsięwzięciach budowlanych

Leśniak

Janowiec

2019

ACTA SCIENTIARUM POLONORUM - Architectura Budownictwo

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Building Information Modelling as an Opportunity and Risk for Stakeholders Involved in Construction Investment Process

Cited by 18 publications

References 1 publication

Forecasting of Sports Fields Construction Costs Aided by Ensembles of Neural Networks

Forecasting of Sports Fields Construction Costs Aided by Ensembles of Neural Networks

Investment, Returns, and Risk of Building Information Modeling (BIM) Implementation in Indonesia’s Construction Project

Roboty dodatkowe w kolejowych przedsięwzięciach budowlanych

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