Assessment of Buildings Redevelopment Possibilities using MCDM and BIM Techniques

Pavlovskis, Miroslavas; Antuchevičienė, Jurgita; Migilinskas, Darius

doi:10.1016/j.proeng.2017.02.083

Cited by 24 publications

(19 citation statements)

References 8 publications

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“…Sometimes the value of heritage buildings is examined to determine the level of protection to be implemented [137]. Further, MCDM is used in combination with other methodological tools such as BIM-Building Information Modeling, and GIS-Geographic Information System [138,139]. In some papers, one can see the concept of integrated analysis of the built and renewed human environment as a whole, as well as multiple criteria assessment of alternatives to the projects of restoration of heritage with SAW-Simple Additive Weighting, TOPSIS, COPRAS, and ARAS-Additive Ratio ASsessment [140].…”

Section: Mcdm and Architectural Heritage Managementmentioning

confidence: 99%

Fuzzy and Interval AHP Approaches in Sustainable Management for the Architectural Heritage in Smart Cities

Milošević

Stanojević

et al. 2021

Mathematics

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For the past four decades, the methodology of fuzzy analytic hierarchy process based on fuzzy trapezoidal or triangular numbers with the linear type of membership functions has witnessed an expanding development with applicability to a wide variety of areas, such as industry, environment, education, government, economics, engineering, health, and smart city leadership. On the other hand, the interval gray analytic hierarchy process is a more practical method when a significant number of professionals have large variations in preferences and interests in complex decisions. The paper examines the management of architectural heritage in smart cities, using methods of multi-criteria decision making. Two appropriate methods generally recommended by the scientific literature have been applied: fuzzy and interval grey analytic hierarchy process. By using both techniques, there is an opportunity to analyze the consensual results from the aspect of two different stakeholder groups: architectural heritage experts and smart city development experts. Trapezoidal fuzzy analytical hierarchical process shows better stability than a triangular one. Both approaches assign priority to the strategy, but the interval approach gives a more significant rank to architectural heritage factors. The similarity of the proposed methods has been tested, and the similarity factor in the ranking indicates a high degree of similarity in comparing the reference rankings.

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Section: Mcdm and Architectural Heritage Managementmentioning

confidence: 99%

Fuzzy and Interval AHP Approaches in Sustainable Management for the Architectural Heritage in Smart Cities

Milošević

Stanojević

et al. 2021

Mathematics

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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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“…Most importantly in the use of BIM technologies for construction projects is to have reliable information at any construction project implementation stage and to make correct decisions [16].…”

Section: Introductionmentioning

confidence: 99%

“…Moreover, according to different research, defect data were proposed to be shared using a BIM-integrated network [30]. Bryde et al (2013) investigated the advantages and disadvantages of BIM use in projects and concluded that the advantages of using BIM are much greater in comparison to its drawbacks, challenges, and limitations [16,31]. However, the direct use of BIM technologies in reducing rework needs more investigation.…”

Section: Introductionmentioning

confidence: 99%

Application of Hybrid SWARA–BIM in Reducing Reworks of Building Construction Projects from the Perspective of Time

et al. 2020

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One of the major issues of the construction industry has been the “reworks” that affect the time, quality, and cost of projects. Therefore, reworks and the ineffective use of site resources and materials will always result in significant losses on projects. The development of information technology has led to the widespread use of Building Information Modelling (BIM) to enhance the delivery of more sustainable building construction projects. The purpose of this study is to combine the Step-wise Weight Assessment Ratio Analysis (SWARA) method and BIM technologies to identify and reduce time delays caused by reworks in construction projects. Firstly, 49 rework causes in residential buildings were identified and ranked. Then, BIM was generated and compared to the initial model. It was observed that working hours were reduced by 4.6%. Moreover, using an Earned Value Management (EVM) system, a 0.06 increase in Schedule Performance Index (SPI) factor was illustrated. Results obtained by this study provide an effective step in reducing a project’s time in the construction industry.

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Assessment of Buildings Redevelopment Possibilities using MCDM and BIM Techniques

Cited by 24 publications

References 8 publications

Fuzzy and Interval AHP Approaches in Sustainable Management for the Architectural Heritage in Smart Cities

Fuzzy and Interval AHP Approaches in Sustainable Management for the Architectural Heritage in Smart Cities

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

Application of Hybrid SWARA–BIM in Reducing Reworks of Building Construction Projects from the Perspective of Time

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