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Difficulties of BIM technology application in project planning

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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
The study aimed to identify difficulties in choosing the correct concept of the main building process. The use of a proper BIM design may help the user avoid mistakes and make the building process faster as well as less financial resource intensive. The authors focused on literature review, analysing the difficulties of the BIM design software technology in construction project planning. The biggest flaws in BIM design are inherent in three building process stages: 1) the preparation of a building investment project, and the analysis of the existing situation; 2) the preparation of the building execution technology project; 3) the existing standard processing and information collection in building exploitation period. The analysis shows a persistent need for a deeper BIM design research, to improve information interchange formats that would ensure as much design information saved as possible with ensured feedback. As well as in BIM design, the software packages must be improved by supplementing them with deficient tools or programme codes. After the research of BIM design software, it was determined that architectural, constructional and MEP programs work best interdependently and get analysed the most. These programs work best as they make the least number of mistakes when the model is created in one setting and has many tools. This type of design software data is kept internally, and they are converted into IFC or other information interchange format. Without changing the format, the data is not lost, and this is the reason behind fluent information interchange.
Słowa kluczowe
Rocznik
Strony
15--28
Opis fizyczny
Bibliogr. 39 poz., rys., tab.
Twórcy
  • Vilnius Gediminas Technical University, Faculty of Civil Engineering, Lithuania
autor
  • Vilnius Gediminas Technical University, Faculty of Civil Engineering, Lithuania
autor
  • Vilnius Gediminas Technical University, Faculty of Civil Engineering, Lithuania
  • Vilnius Gediminas Technical University, Faculty of Civil Engineering, Lithuania
  • Vilnius Gediminas Technical University, Faculty of Civil Engineering, Lithuania
  • Vilnius Gediminas Technical University, Faculty of Civil Engineering, Lithuania
Bibliografia
  • Arashpour, M., Bai, Y., Aranda-Mena, G., Bab-Hadiashar, A., Hosseini, R., & Kalutara, P. (2017). Optimizing decisions in advanced manufacturing of prefabricated products: Theorizing supply chain configurations in off-site construction. Automation in Construction, 84, 146-153.
  • Ashcraft, Jr., H.W. (2011). Negotiating an integrated project delivery agreement. San Francisco, USA: Hanson Bridgett.
  • Astour, H., & Franz, V. (2014). BIM- and simulation-based site layout planning. 2014 International Conference on Computing in Civil and Building Engineering, 291-298.
  • Azhar, S. (2011). Building information modeling (BIM): Trends, benefits, risks, and challenges for the AEC industry. Leadership and management in engineering, 11(3), 241-252.
  • Becerik-Gerber, B., Jazizadeh, F., Li, N., & Calis, G. (2011). Application areas and data requirements for BIMenabled facilities management. Journal of construction engineering and management, 138(3), 431-442.
  • Bryde, D., Broquetas, M., & Volm, J.M. (2013). The project benefits of building information modelling (BIM). International Journal of Project Management, 31(7), 971-980.
  • Choi, J., & Kim, I. (2008). An approach to share architectural drawing information and document information for automated code checking system. Tsinghua Science & Technology, 13, 171-1178.
  • Crnković, D., & Vukomanović, M. (2016). Comparison of trends in risk management theory and practices within the construction industry. Electronic Journal of the Faculty of Civil Engineering Osijek, 7(13), 1-11.
  • Ding, L.Y., Zhou, Y., Luo, H.B., & Wu, X.G. (2012). Using nD technology to develop an integrated construction management system for city rail transit construction. Automation in Construction, 21, 64-73.
  • Eastman, C. (2009). Automated assessment of early concept designs. Architectural Design, 79(2), 52-57.
  • Ejdys, J. (2014). Future oriented strategy for SMEs. Procedia – Social and Behavioral Sciences, 156, 8-12. doi:10.1016/j.sbspro.2014.11.110
  • Elbeltagi, E., & Dawood, M. (2011). Integrated visualized time control system for repetitive construction projects. Automation in Construction, 20(7), 940-953.
  • El-Rayes, K., & Khalafallah, A. (2005). Trade-off between safety and cost in planning construction site layouts. Journal of Construction Engineering and Management, 131(11), 1186-1195.
  • Fink, L. (2014). The effect of customer focus competence on construction project performance. Procedia-Social and Behavioral Sciences, 119, 427-436.
  • Fischer, M., Khanzode, A., Reed, D., & Ashcraft, H.W. (2017). Integrating Project Delivery. New Jersey, USA: John Wiley & Sons.
  • Gerrish, T., Ruikar, K., Cook, M., Johnson, M., Phillip, M., & Lowry, C. (2017). BIM application to building energy performance visualisation and management: Challenges and potential. Energy and Buildings, 144, 218-228.
  • Greenwood, D., Lockley, S., Malsane, S., & Matthews, J. (2010). Automated compliance checking using building information models. London, England: RICS.
  • Hardin, B., & McCool, D. (2015). BIM and Construction Management: Proven Tools, Methods, and Workflows. Indianapolis, USA: John Wiley & Sons.
  • Harris, J. (2013). Integration of BIM and Business Strategy. Evanston, USA: Northwestern University.
  • Hartmann, T., van Meerveld, H., Vossebeld, N., & Adriaanse, A. (2012). Aligning building information model tools and construction management methods. Automation in Construction, 22, 605-613.
  • Heesom, D., & Mahdjoubi, L. (2004). Trends of 4D CAD applications for construction planning. Construction Management and Economics, 22(2), 171-182.
  • Hjelseth, E. (2015). BIM-based model checking (BMC). Building Information Modeling – Applications and Practices, 33-61.
  • Isaac, S., Curreli, M., & Stoliar, Y. (2017). Work packaging with BIM. Automation in Construction, 83, 121-133.
  • Juszczyk, M., Tomana, A., & Bartoszek, M. (2016). Current Issues of BIM-based Design Change Management. Analysis and Visualization. Procedia Engineering, 164, 518-525.
  • Kuenzel, R., Teizer, J., Mueller, M., & Blickle, A. (2016). SmartSite: Intelligent and autonomous environments, machinery, and processes to realize smart road construction projects. Automation in Construction, 71, 21-33.
  • Martínez-Rojas, M., Marín, N., & Miranda, M.A.V. (2016). An intelligent system for the acquisition and management of information from bill of quantities in building projects. Expert Systems with Applications, 63, 284-294.
  • Migilinskas, D., Popov, V., Juocevicius, V., & Ustinovichius, L. (2013). The benefits, obstacles and problems of practical BIM implementation. Procedia Engineering, 57, 767-774.
  • Migilinskas, D., & Ustinovichius, L. (2006). Computeraided modelling, evaluation and management of construction projects according to PLM concept. In Y. Luo (Ed.), International Conference on Cooperative Design, Visualization and Engineering (pp. 242-250). Berlin, Germany: Springer.
  • Reizgevičius, M., Reizgevičiūtė, L., & Ustinovičius, L. (2015). The need of BIM technologies implementation to design companies. Ekonomia i Zarządzanie, 7(4), 45-53.
  • Reizgevičius, M., Ustinovičius, L., Cibulskienė, D., Kutut, V., & Nazarko, L. (2018). Promoting Sustainability through Investment in Building Information Modeling (BIM) Technologies: A Design Company Perspective. Sustainability, 10(3), 600. doi:10.3390/su10030600
  • Smith, P. (2014). Why Supplier Management should be central to your procurement thinking. OFS Portal LLC. Retrieved from https://ofs-portal.com/
  • Shi, Q., Ding, X., Zuo, J., & Zillante, G. (2016). Mobile Internet based construction supply chain management: A critical review. Automation in Construction, 72, 143-154.
  • Sobieraj, J. (2017). Impact of spatial planning on the preinvestment phase of the development process in the  residential construction field. Archives of Civil Engineering, 63(2), 113-130.
  • Талапов, В. (2017). Основы BIM: введение в информационное моделирование зданий [Basics of BIM: an introduction to Building Information Modeling]. Moscow, Russia: DMK Press.
  • Tomana, A. (2016). BIM Innowacyjna technologia w  budownictwie: podstawy, standardy, narzędzia [BIM Innovative technology in construction: foundations, standards, tools]. Warsaw, Poland: PWB Media Zdziebłowski.
  • Tommelein, I.D., Levitt, R.E., & Hayes-Roth, B. (1992). Site-layout modeling: how can artificial intelligence help? Journal of Construction Engineering and Management, 118(3), 594-611.
  • Trani, M.L., Cassano, M., Todaro, D., & Bossi, B. (2015). BIM level of detail for construction site design. Procedia Engineering, 123, 581-589.
  • Tserng, H.P., Ho, S.P., & Jan, S.H. (2014). Developing BIM-assisted as-built schedule management system for general contractors. Journal of Civil Engineering and Management, 20(1), 47-58.
  • Ustinovičius, L., Rasiulis, R., Nazarko, L., Vilutienė, T., & Reizgevicius, M. (2015). Innovative research projects in the field of Building Lifecycle Management. Procedia Engineering, 122, 166-171.
Uwagi
Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2019).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-8e3a1f0d-2d20-485c-909f-750bbcb98946
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