Share:


A multi-criteria decision-making synthesis method to determine the most effective option for modernising a public building

    Jovita Starynina Affiliation
    ; Leonas Ustinovichius   Affiliation

Abstract

The study presents a sustainable building modernisation model that uses knowledgebased decision-making methods to general reconstruct old public buildings, intending to achieve the best level of energy use on the design scene. The rapid development and dissemination of standards cause multiple research opportunities in the fields of process automation and adaptation of BIM technologies to the prerequisites of existing buildings. Decision-making was widely supported by imitating structures used in the late stages of design. However, its application is not sufficient at the beginning, which affects design solutions with a significant impact on the performance of the completed building. Construction design is a multifaceted discipline where architects, engineers, contractors, and builders influence design decisions. This modernisation way uses digital systems and simulations to estimate the expected energy consumption of construction faster and economically. BIM and critical characteristics are the basis of the model, where design and general processing needs to follow to pre-built instructions. This solution allows estimating energy demand in reconstructed buildings and correlation of parameters.


First published online 25 September 2020

Keyword : sustainable, energy, MCDM, BIM, decision making

How to Cite
Starynina, J., & Ustinovichius, L. (2020). A multi-criteria decision-making synthesis method to determine the most effective option for modernising a public building. Technological and Economic Development of Economy, 26(6), 1237-1262. https://doi.org/10.3846/tede.2020.13398
Published in Issue
Nov 17, 2020
Abstract Views
141
PDF Downloads
74
Creative Commons License

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

References

Banasik, A., Bloemhof-Ruwaard, J. M., Kanellopoulos, A., Claassen, G. D. H., & van der Vorst, J. G. (2018). Multi-criteria decision making approaches for green supply chains: A review. Flexible Services and Manufacturing Journal, 30(3), 366–396. https://doi.org/10.1007/s10696-016-9263-5

Barlish, K., & Sullivan, K. (2012). How to measure the benefits of BIM – A case study approach. Automation in Construction, 24, 149–159. https://doi.org/10.1016/j.autcon.2012.02.008

Bortolini, R., & Forcada, N. (2018). Facility managers’ perceptions on building performance assessment. Frontiers Engineering Management, 5(3), 324–333. https://doi.org/10.15302/J-FEM-2018010

Bryde, D., Broquetas, M., & Volm, J. M. (2013). The project benefits of Building Information Modelling (BIM). International Journal of Project Management, 31, 971–980. https://doi.org/10.1016/j.ijproman.2012.12.001

Chalal, M. L., Medjdoub, B., Bezai, N., & Shrahily, R. (2020). Big Data to support sustainable urban energy planning: The EvoEnergy project. Frontiers Engineering Management, 7(2), 287–300. https://doi.org/10.1007/s42524-019-0081-9

Chong, H.-Y., Lee, C.-Y., & Wang, X. (2017). A mixed review of the adoption of Building Information Modelling (BIM) for sustainability. Journal of Cleaner Production, 142(4), 4114–4126. https://doi.org/10.1016/j.jclepro.2016.09.222

Edirisinghe, R., London, K., Kalutara, P., & Aranda-Mena, G. (2017). Building information modelling for facility management: are we there yet? Engineering, Construction and Architectural Management, 24(6), 1119–1154. https://doi.org/10.1108/ECAM-06-2016-0139

European Commission. (2011a). Energy efficiency plan 2011 (COM/2011/109 final). https://eur-lex.europa.eu/LexUriServ/LexUriServ.do?uri=COM:2011:0109:FIN:EN:PDF

European Commission. (2011b). Energy Roadmap 2050 (COM/2011/885 final). https://eur-lex.europa.eu/LexUriServ/LexUriServ.do?uri=COM:2011:0885:FIN:EN:PDF

European Commission. (2012). Communication from the Commission to the European Parliament and the Council–Strategy for the sustainable competitiveness of the construction sector and its enterprises (COM/2012/0433). https://eur-lex.europa.eu/LexUriServ/LexUriServ.do?uri=COM:2012:0433: FIN:EN:PDF

European Commission. (2014). A policy framework for climate and energy in the period from 2020 up to 2030 (COM/2014/16 final). https://eur-lex.europa.eu/legal-content/EN/ALL/?uri=CELEX%3A 52014DC0015

European Union. (2010). Directive 2010/31/EU of the European Parliament and of the Council of 19 May 2010 on the energy performance of buildings (EPBD2010/31/EU). https://eur-lex.europa.eu/legal-content/EN/ALL/?uri=CELEX%3A32010L0031

Garcia, E. G., & Zhu, Z. (2015). Interoperability from building design to building energy modelling. Journal of Building Engineering, 1, 33–41. https://doi.org/10.1016/j.jobe.2015.03.001

Goh, T. N. (1989). Some practical considerations in the design of manufacturing process experiments. Journal of Mechanical Working Technology, 20, 219–228. https://doi.org/10.1016/0378-3804(89)90032-6

Govindan, K., Shankar, K. M., & Kannan, D. (2016). Sustainable material selection for construction industry – A hybrid multi criteria decision making approach. Renewable and Sustainable Energy Reviews, 55, 1274–1288. https://doi.org/10.1016/j.rser.2015.07.100

Gray, M., Gray, J., Teo, M., Chi, S., & Cheung, F. (2013). Building information modeling, an international survey. Brisbane, Australia.

Gu, N., & London, K. (2010). Understanding and facilitating BIM adoption in the AEC industry. Automation in Construction, 19, 988–999. https://doi.org/10.1016/j.autcon.2010.09.002

Habib, C., Makhoul, A., Darazi, R., & Couturier, R. (2019). Health risk assessment and decision-making for patient monitoring and decision-support using wireless body sensor networks. Information Fusion, 47, 10–22. https://doi.org/10.1016/j.inffus.2018.06.008

Habibi, S. (2017). Micro-climatization and real-time digitalization effects on energy efficiency based on user behavior. Building and Environment, 114, 410–428. https://doi.org/10.1016/j.buildenv.2016.12.039

Hashemkhani Zolfani, S., Zavadskas, E. K., & Turskis, Z. (2013). Design of products with both International and Local perspectives based on Yin-Yang balance theory and SWARA method. Economic Research-Ekonomska Istraživanja, 26(2), 153–166. https://doi.org/10.1080/1331677X.2013.11517613

He, Y., & Xu, Z. (2019). Multi-attribute decision making methods based on reference ideal theory with probabilistic hesitant information. Expert Systems with Applications, 118, 459–469. https://doi.org/10.1016/j.eswa.2018.10.014

Hemsath, T. L., & Bandhosseini, K. A. (2017). Energy modeling in architectural design. Taylor & Francis. https://doi.org/10.4324/9781315712901

Hu, M. (2019). Does zero energy building cost more? – An empirical comparison of the construction costs for zero energy education building in United States. Sustainable Cities and Society, 45, 324–334. https://doi.org/10.1016/j.scs.2018.11.026

Hwang, C., & Yoon, K. (1981). Multiple attribute decision making: methods and applications: a state-ofthe-art survey. Springer-Verlag. https://doi.org/10.1007/978-3-642-48318-9_3

Ilce, A. C., & Ozkaya, K. (2018). An integrated intelligent system for construction industry: A case study of raised floor material. Technological and Economic Development of Economy, 24(5), 1866–1884. https://doi.org/10.3846/20294913.2017.1334242

Jensen, P. A., Maslesa, E., Berg, J. B., & Thuesen, C. (2018). 10 questions concerning sustainable building renovation. Building and Environment, 143, 130–137. https://doi.org/10.1016/j.buildenv.2018.06.051

Jia, Q., Wei, L., & Li, X. (2019).Visualizing sustainability research in business and management (1990– 2019) and emerging topics: a large-scale bibliometric analysis. Sustainability, 11(20), 5596. https://doi.org/10.3390/su11205596

Jose, P. C., Luis, B., & Ricardo, M. (2019). Optimising building sustainability assessment using BIM. Automation in Construction, 102, 170–182. https://doi.org/10.1016/j.autcon.2019.02.021

Jung, Y., & Joo, M. (2011). Building information modelling (BIM) framework for practical implementation. Automation in Construction, 20, 126–133. https://doi.org/10.1016/j.autcon.2010.09.010

Kaklauskas, A., Zavadskas, E. K., Raslanas, S., Ginevicius, R., Komka, A., & Malinauskas, P. (2006). Selection of Low-E windows in retrofit of public buildings by applying multiple criteria method COPRAS: A Lithuanian case, Energy and Buildings, 38(5), 454–462. https://doi.org/10.1016/j.enbuild.2005.08.005

Kamari, A., Schultz, C. P. L., & Kirkegaard, P. H. (2019). Constraint-based renovation design support through the renovation domain model. Automation in Construction, 104, 265–280. https://doi.org/10.1016/j.autcon.2019.04.023

Kaya, I., Çolak, M., & Terzi, F. (2018). Use of MCDM techniques for energy policy and decision‐making problems: A review, International Journal of Energy Research, 42(7), 2344–2372. https://doi.org/10.1002/er.4016

Kreider, R., Messner, J., & Dubler, C. (2010). Determining the frequency and impact of applying BIM for different purposes on projects. Paper presented at the Proceeding 6th International Conference on Innovation in Architecture, Engineering and Construction (AEC), Pennsylvania State University, University Park, PA, USA.

Kreiner, H., Passer, A., & Wallbaum, H. (2015). A new systemic approach to improve the sustainability performance of office buildings in the early design stage. Energy and Buildings, 109, 385–396. https://doi.org/10.1016/j.enbuild.2015.09.040

Krylovas, A., Kosareva, N., & Zavadskas, E. K. (2018). Scheme for statistical analysis of some parametric normalization classes. International Journal of Computers, Communications & Control (IJCCC), 13(6), 972–987. https://doi.org/10.15837/ijccc.2018.6.3398

Kumar, A., Sah, B., Singh, A. R., Deng, Y., He, X., Kumar, P., & Bansal, R. C. (2017). A review of multi criteria decision making (MCDM) towards sustainable renewable energy development. Renewable and Sustainable Energy Reviews, 69, 596–609. https://doi.org/10.1016/j.rser.2016.11.191

Lee, K. H., Kim, I. H., & Choo, S. Y. (2015). Model study of design components for energy-performance-based architectural design using BIM LOD 100. Journal of Green Building, 10(2), 179–197. https://doi.org/10.3992/jgb.10.2.179

Leite, F., Akcamete, A., Akinci, B., Atasoy, G., & Kiziltas, S. (2011). Analysis of modeling effort and impact of different levels of detail in building information models. Automation in Construction, 20, 601–609. https://doi.org/10.1016/j.autcon.2010.11.027

Linderoth, H. (2010). Understanding adoption and use of BIM as the creation of actor networks. Automation in Construction, 19(1), 66–72. https://doi.org/10.1016/j.autcon.2009.09.003

MacCrimmon, K. R. (1968). Decision-making among multiple-attribute alternatives: a survey and consolidated approach (DTIC Document).

Maghsoodi, A. I., Abouhamzeh, G., Khalilzadeh, M., & Zavadskas, E. K. (2018). Ranking and selecting the best performance appraisal method using the MULTIMOORA approach inte grated Shannon’s entropy. Frontiers of Business Research in China, 12(1), 2–21. https://doi.org/10.1186/s11782-017-0022-6

Mahdavi, A., & Tahmasebi, F. (2015). Predicting people’s presence in buildings: An empirically based model performance analyses. Energy and Buildings, 86, 349–355. https://doi.org/10.1016/j.enbuild.2014.10.027

Mahdiraji, H. A., Turskis, Z., Jafarnejad, A., & Rezayar, A. (2019). Non-cooperative two-echelon supply chains with a focus on social responsibility. Technological and Economic Development of Economy, 25(6), 1162–1187. https://doi.org/10.1108/mbe-11-2014-0041

Martinaitis, V., Zavadskas, E. K., Motuzienė, V., & Vilutienė, T. (2015). Importance of occupancy information when simulating energy demand of energy efficient house: A case study. Energy and Buildings, 101, 64–75. https://doi.org/10.1016/j.enbuild.2015.04.031

Merschbrock, C., & Figueres-Munoz, A. (2015). Circumventing obstacles in digital construction design – a workaround theory perspective. Procedia Economics and Finance, 21, 247–255. https://doi.org/10.1016/S2212-5671(15)00174-4

Ministry of Environment of the Republic of Lithuania (2016). Construction technical regulation “Design and certification of energy performance of buildings” (STR 2.01.02:2016). https://www.e-tar.lt/portal/en/legalAct/2c182f10b6bf11e6aae49c0b9525cbbb

Nazarko, L., & Melnikas, B. (2019). Operationalising responsible research and innovation – tools for enterprises. Engineering Management in Production and Services, 11(3), 21–28. https://doi.org/10.2478/emj-2019-0017

Pinheiro, S., Donnell, J., Wimmer, R., Bazjanac, V., Muhic, S., Maile, T., Frisch, J., & Treeck, C. (2018). Model view definition for advanced building energy performance simulation. Paper presented at the CESBP/BauSIM 2016 Conference, Dresden, Berlin. http://www.ibpsa.org/proceedings/bausimPapers/2016/D-02-1.pdf

Radović, D., Stević, Ž., Pamučar, D., Zavadskas, E. K., Badi, I., Antuchevičiene, J., & Turskis Z. (2018). Measuring performance in transportation companies in developing countries: a novel rough ARAS model. Symmetry, 10(10), 1–24. https://doi.org/10.3390/sym10100434

Rodrigues, F., Matos, R., Alves, A., Ribeirinho, P., & Rodrigues, H. (2018). Building life cycle applied to refurbishment of traditional building from Oporto, Portugal. Journal of Building Engineering, 17, 84–95. https://doi.org/10.1016/j.jobe.2018.01.010

Ruzgys, A., Volvačiovas, R., Ignatavičius, Č., & Turskis, Z. (2014). Integrated evaluation of external wall insulation in residential buildings using SWARA-TODIM MCDM method. Journal of Civil Engineering and Management, 20(1), 103–110. https://doi.org/10.3846/13923730.2013.843585

Saaty, T. L. (1994). Fundamentals of decision making and priority theory with the AHP. RWS Publications.

Salman, A. (2011). Building Information Modeling (BIM): trends, benefits, risks, and challenges for the AEC industry. Leadership and Management in Engineering, 11(3), 241–252. https://doi.org/10.1061/(ASCE)LM.1943-5630.0000127

Siksnelyte, I., Zavadskas, E. K., Streimikiene, D., & Sharma, D. (2018). An overview of multi-criteria decision-making methods in dealing with sustainable energy development issues. Energies, 11(10), 1–21. https://doi.org/10.3390/en11102754

Simanaviciene, R., & Ustinovichius, L. (2012). A new approach to assessing the biases of decisions based on multiple attribute decision making methods. Elektronika ir elektrotechnika, 117(1), 29–32. https://doi.org/10.5755/j01.eee.117.1.1048

Simanaviciene, R., Liaudanskiene, R., & Ustinovichius, L. (2012). A new synthesis method of structural, technological and safety decisions (SyMAD-3). Journal of Civil Engineering and Management, 18(2), 265–276. https://doi.org/10.3846/13923730.2012.666504

Somboonwit, N., Boontore, A., & Rugwongwan, Y. (2017, February 25–27). Obstacles to the automation of building performance simulation: adaptive building integrated photovoltaic (BIPV) design. Paper presented at the 5th AMER International Conference on Quality of Life, Bangkok, Thailand. https://doi.org/10.21834/e-bpj.v2i5.619

Turskis, Z., Zavadskas, E. K., & Kutut, V. (2013). A model based on ARAS-G and AHP methods for multiple criteria prioritizing of heritage value. International Journal of Information Technology & Decision Making, 12(01), 45–73. https://doi.org/10.1142/S021962201350003X

Volk, R., Stengel, J., & Schultmann, F. (2014). Building Information Modeling (BIM) for existing buildings-Literature review and future needs. Automation in Construction, 38, 109–127. https://doi.org/10.1016/j.autcon.2013.10.023

Wang, N., & Adeli, H. (2015). Self-constructing wavelet neural network algorithm for nonlinear control of large structures. Engineering Applications of Artificial Intelligence, 41, 249–258. https://doi.org/10.1016/j.engappai.2015.01.018

Winkowski, C. (2019). Classification of forecasting methods in production engineering. Engineering Management in Production and Services, 11(4), 23–33. https://doi.org/10.2478/emj-2019-0030

Yazdani, M., Zarate, P., Zavadskas, E. K., & Turskis, Z. (2019). A Combined Compromise Solution (CoCoSo) method for multi-criteria decision-making problems. Management Decision, 57(9), 2501–2519. https://doi.org/10.1108/MD-05-2017-0458

Yin, X., Liu, H., Chen, Y., & Al-Hussein, M. (2019). Building information modelling for off-site construction: Review and future directions. Automation in Construction, 101, 72–91. https://doi.org/10.1016/j.autcon.2019.01.010

Zavadskas, E. K., Antucheviciene, J., Saparauskas, J., & Turskis, Z. (2013). MCDM methods WASPAS and MULTIMOORA: verification of robustness of methods when assessing alternative solutions. Economic Computation and Economic Cybernetics Studies and Research, 47(2), 5–20.

Zavadskas, E. K., Antucheviciene, J., Turskis, Z., & Adeli, H. (2016a). Hybrid multiple-criteria decisionmaking methods: A review of applications in engineering. Scientia Iranica. Transaction A, Civil Engineering, 23(1), 1–20. https://doi.org/10.24200/sci.2016.2093

Zavadskas, E. K., Govindan, K., Antucheviciene, J., & Turskis, Z. (2016b). Hybrid multiple criteria decision-making methods: A review of applications for sustainability issues. Economic Research-
Ekonomska Istraživanja, 29(1), 857–887. https://doi.org/10.1080/1331677X.2016.1237302

Zavadskas, E. K., Kaklauskas, A., & Sarka, V. (1994). The new method of multicriteria complex proportional assessment of projects. Technological and Economic Development of Economy, 1(3), 131–139.

Zavadskas, E. K., Kaklauskas, A., Banaitis, A., & Kvederyte, N. (2004). Housing credit access model: The case for Lithuania. European Journal of Operational Research, 155(2), 335–352. https://doi.org/10.1016/S0377-2217(03)00091-2

Zavadskas, E. K., Kaklauskas, A., Turskis, Z., & Kalibatas, D. (2009). An approach to multi-attribute assessment of indoor environment before and after refurbishment of dwellings. Journal of Environmental Engineering and Landscape Management, 17(1), 5–11. https://doi.org/10.3846/1648-6897.2009.17.5-11

Žėkas, V., Martinaitis, V., Streckienė, G., & Vilutienė, T. (2014). A quantitative evaluation of theoretical renewable energy potential of the building site. Journal of Civil Engineering and Management, 20(6), 873–883. https://doi.org/10.3846/13923730.2014.976589

Zemlickienė, V., & Turskis, Z. (2020). Evaluation of the expediency of technology commercialization:
a case of information technology and biotechnology. Technological and Economic Development of Economy, 26(1), 271–289. https://doi.org/10.3846/tede.2020.11918

Zou, X. W. P., Alam, M., Phung, V. M., Wagle, D., Stewart, R., Bertone, E., Sahin, O., & Butine, C. (2017). Achieving energy efficiency in government buildings through mandatory policy and program enforcement. Frontiers Engineering Management, 4(1), 92–103. https://doi.org/10.15302/J-FEM-2017101