Share:


Analysis of BIM and MCDM integration in design, manufacturing and construction stages

Abstract

The article analyses the possibilities of synergy between MCDM (Multi Criteria Decision Making) methods and BIM (Building Information Modeling) technologies in order to identify a better integration way and propose a strategy for integrating MCDM and BIM. The two ways of integration were identified after performing literature analysis – the linear one and integrated one. The stages of the integration strategy were discussed and a key strategy for improving the synergy between MCDM and BIM was found. The key strategy intended for masonry veneer and masonry structures in design, manufacture and construction stages to make a decision.


Article in Lithuanian.


BIM ir MCDM integravimo projektavimo, gamybos ir statybos etapuose analizė


Santrauka


Straipsnyje analizuojamos daugiakriterių sprendimų priėmimo metodų MCDM (angl. Multi Criteria Decision Making) ir statinio informacinio modeliavimo BIM (angl. Building Information Modeling) technologijų sinergijos galimybės, siekiant nustatyti pranašesnį integravimo būdą ir pasiūlyti MCDM ir BIM integravimo strategiją. Atlikus literatūros analizę, nustatyti du integravimo būdai: tiesinis ir integruotas. Aptarti integravimo strategijos etapai ir nustatyta esminė MCDM ir BIM sinergijos tobulinimo strategija, skirta apdailos mūro ir mūrinių konstrukcijų sprendimams projektavimo, gamybos ir statybos etapuose priimti.


Reikšminiai žodžiai: BIM, MCDM, daugiakriterių sprendimų priėmimas, statinio informacinis modeliavimas, MCDM ir BIM integravimas.

Keyword : BIM, MCDM, multi-criteria decision-making, building information modeling, MCDM and BIM integration

How to Cite
Zigmund, V. (2022). Analysis of BIM and MCDM integration in design, manufacturing and construction stages. Mokslas – Lietuvos Ateitis / Science – Future of Lithuania, 14. https://doi.org/10.3846/mla.2022.13788
Published in Issue
Jan 11, 2022
Abstract Views
427
PDF Downloads
395
Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

References

Ahmadian, F. F. A., Rashidi, T. H., Akbarnezhad, A., & Waller, S. T. (2017). BIM-enabled sustainability assessment of material supply decision. Engineering, Construction and Architectural Management, 24(4), 668–695. https://doi.org/10.1108/ECAM-12-2015-0193

Fazeli, A., Jalaei, F., Khanzadi, M., & Banihashemi, S. (2019). BIM integrated Topsis-Fuzzy framework to optimize selection of sustainable building components. International Journal of Construction Management, 1–20. https://doi.org/10.1080/15623599.2019.1686836

Gbadamosi, A., Mahamadu, A., Manu, P., Akinade, O., Sierra, F., Lam, T. T., & Alzaatreh, A. (2018, June–July). A BIM based approach for optimization of construction and assembly through material selection [Conference presentation]. The Creative Construction Conference, Ljubljana, Slovenia.

Jalaei, F., Jrade, A., & Nassiri, M. (2015). Integrating decision support system (DSS) and building information modeling (BIM) to optimize the selection of sustainable building components. Journal of Information Technology in Construction, 20, 399–420.

Jalilzadehazhari, E., Vadiee, A., & Johansson, P. (2019). Achieving a trade-off construction solution using BIM, an optimization algorithm, and a multi-criteria decision-making method. Buildings, 9(4), 81. https://doi.org/10.3390/buildings9040081

Khalesi, A., Balali, A., Valipuor, A., Antucheviciene J., Migilinskas, D., & Zigmund, V. (2020). Application of hybrid SWARA–BIM in reducing reworks of building construction projects from the perspective of time. Sustainability, 12(21), 8927. https://doi.org/10.3390/su12218927

Khanzadi, M., Kaveh, A., Rastegar, M., & Pourbagheri, S. M. (2018). Optimization of building components with sustainability aspects in BIM environment. Periodica Polytechnica Civil Engineering, 63(1), 93–103. https://doi.org/10.3311/PPci.12551

Marzouk, M., & Al Daour, I. (2018). Planning labor evacuation for construction sites using BIM and agent-based simulation. Safety Science, 109, 174–185. https://doi.org/10.1016/j.ssci.2018.04.023

Pavlovskis, M., Antucheviciene, J., & Migilinskas, D. (2017a). Assessment of buildings redevelopment possibilities using MCDM and BIM techniques. Procedia Engineering, 172, 846–850. https://doi.org/10.1016/j.proeng.2017.02.083

Pavlovskis, M., Migilinskas, D., Antuchevičienė, J., Urba, I., & Zigmund, V. (2017b). Problems in reconstruction projects, BIM uses and decision-making: Lithuania case studies. Procedia Enginnering, 208, 125–128. https://doi.org/10.1016/j.proeng.2017.11.029

Pavlovskis, M., Migilinskas, D., Antucheviciene, J., & Kutut, V. (2019). Ranking of heritage building conversion alternatives by applying BIM and MCDM: A case of Sapieha Palace in Vilnius. Symmetry, 11(8), 973. https://doi.org/10.3390/sym11080973

Tan, T., Mills, G., Papadonikalaki, E., & Liu, Z. (2021). Combining multi-criteria decision making (MCDM) methods with building information modelling (BIM): A review. Automation in Construction, 121, 103451. https://doi.org/10.1016/j.autcon.2020.103451

Wang, T., Zhang, Q., Chong, H., & Wang, X. (2017). Integrated supplier selection framework in a resilient construction supply chain: An approach via Analytic Hierarchy Process (AHP) and Grey Relational Analysis (GRA). Sustainability, 9(2), 289. https://doi.org/10.3390/su9020289

Zhao, L., Liu, Z., & Mbachu, J. (2019). Optimization of the supplier selection process in prefabrication using BIM. Buildings, 9(10), 222. https://doi.org/10.3390/buildings9100222

Zigmund, V., Antuchevičienė, J. ir Migilinskas, D. (2021). BIM-M duomenų modelio taikymo analizė [Analysis of the BIM-M data model application]. Mokslas – Lietuvos ateitis / Science – Future of Lithuania, 13, 1–4. https://doi.org/10.3846/mla.2021.13797