Application of integrated fuzzy FCM-BIM-IoT for sustainable material selection and energy management of metro rail station box project in western India

Bapat, Hirakraj; Sarkar, Debasis; Gujar, Rajesh

doi:10.1007/s41062-020-00431-7

Cited by 23 publications

(10 citation statements)

References 19 publications

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“…The factor comparison method, a Multi-Criteria Decision Making (MCDM) method, was used as a funnel process to prioritize the CSFs of BIM software selection for further analysis with the Fuzzy DEMATEL method. The factored matrix was created, where each factor was compared with other factors by pairwise comparison to calculate their relative weights [44]. As shown in Table 4, a five-point scale was used to provide a priority score based on the arithmetic mean of collected responses from the questionnaire survey stage 1.…”

Section: Data Collectionmentioning

confidence: 99%

Identification of Critical Success Factors (CSFs) of BIM Software Selection: A Combined Approach of FCM and Fuzzy DEMATEL

et al. 2021

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The architecture, engineering, and construction (AEC) industry has seen a significant rise in the adoption of Building Information Modeling (BIM) in the last few years. BIM software have launched with numerous robust capabilities and features to satisfy the ever-demanding needs of the AEC industry. Various factors are associated with the selection of BIM software depending on a company’s requirements and constraints. BIM software selection is a daunting process as most AEC industries are unaware of the factors to consider when making this important decision. This study focuses on identifying the critical success factors (CSFs) and their interrelationship for efficient BIM software selection. For this research, a questionnaire was developed and disseminated in two stages in India, the United States of America (U.S.A.), Germany, and the United Kingdom (U.K.). In the first stage, a total of twenty-six identified CSFs were analyzed with the factor comparison method (FCM) to identify the top fifteen CSFs. Subsequently, the identified top fifteen CSFs were further assessed by implementing Fuzzy DEMATEL to categorize them into cause-and-effect groups based on respective influence strength, depicted with a causal diagram. Out of fifteen CSFs, five and ten factors were grouped into the cause group and effect group for BIM software selection, respectively. The most important factors were identified as software functionality, BIM adoption strategies and processes, interoperability, staff competencies, BIM standards and regional regulations. The outcome of this research can help BIM user companies improve their BIM software selection framework and decision-making process during purchasing software.

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Section: Data Collectionmentioning

confidence: 99%

Identification of Critical Success Factors (CSFs) of BIM Software Selection: A Combined Approach of FCM and Fuzzy DEMATEL

et al. 2021

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“…Studies related to the construction sector are also presented in the literature. Bapat et al (2021) present a method for comparing materials used for building facilities for public transports to consider the materials’ feasibility and sustainability. The changes they simulated in building information modelling for building process strategies and materials presented an energy savings of 73%, on average, compared with the existing facility.…”

Section: Theoretical Backgroundmentioning

confidence: 99%

“…According to Bojarski et al (1995), Östberg (2005) and Rojter (2012), materials form one of the basic determinants of technological and socio-economic development. The relevance of sustainable materials selection for sustainable development has been debated in the literature, and its importance is emphasised in different areas of the engineering field (Agrawal, 2021; Bapat et al , 2021; Mesa et al , 2020).…”

Section: Introductionmentioning

confidence: 99%

Analysis of sustainability insertion in materials selection courses of engineering undergraduate programmes

Zanitt

Rampasso

Quelhas

et al. 2021

IJSHE

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Purpose This study aims to analyse how the materials selection courses of engineering undergraduate programmes can be better aligned with the United Nations Sustainable Development Goals (SDGs). Design/methodology/approach Initially, a content analysis was performed in 39 materials selection course descriptions from 40 engineering undergraduate programmes of Brazilian higher education institutions, and subsequently, Delphi method procedures were conducted with professors that teach or have taught the course and are knowledgeable in the subject of sustainability. Findings Considering the analysed course descriptions, it was shown that most of the materials selection courses do not consider or present little emphasis on sustainability aspects. Regarding the Delphi method, eight items were evidenced to consider sustainability aspects in the analysed courses. Originality/value This study contributes to the debates about sustainability insertion in engineering undergraduate programmes. More specifically, the findings presented consolidated information that professors and coordinators can use to align materials selection courses with the SDGs better.

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“…They reviewed criteria used in the past and selected 4 for their study (efficiency, initial cost, maintenance costs (including inspections) and number of replacements over design life of building). In Ahmedabad, India, the selection of materials, including for cladding, for metro stations was addressed with a factor comparison approach using fuzzy numbers [85]. The focus was on minimizing embedded energy and the study reported a 75% reduction in this.…”

Section: Focus On Claddingmentioning

confidence: 99%

Uptake and Dissemination of Multi-Criteria Decision Support Methods in Civil Engineering—Lessons from the Literature

Bruen

2021

Applied Sciences

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The SCOPUS and Wed of Science bibliometric databases were searched for papers related to the use of multi-criteria methods in civil engineering related disciplines. The results were analyzed for information on the reported geographical distribution of usage, the methods used, the application areas with most usage and the software tools used. There was a wide geographical distribution of usage with all northern hemisphere continents well represented. However, of the very many methods available, a small number seemed to dominate usage, with the Analytic Hierarchy Process being the most frequently used. The application areas represented in the documents found was not widely spread and mainly seemed to be focused on issues such as sustainability, environment, risk, safety and to some extent project management, with less usage on other areas. This may be due to individual engineer’s choices in relation to if and how to disseminate the results of their work and to their choice of keywords and titles that determine if their publications are selected in bibliographic searches and thus more visible to a wider readership. A comparison with more topic focused searches, relating to Bridge Design, Earthquake Engineering, Cladding, Sewage Treatment, Foundation design, Truss design, Water Supply, Building Energy, Route selection and Transport mode showed very different results. Analysis of the papers in this area indicated that the full range of supporting software available for multi-criteria decision analysis (many listed in this paper) may not be fully appreciated by potential users.

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Application of integrated fuzzy FCM-BIM-IoT for sustainable material selection and energy management of metro rail station box project in western India

Cited by 23 publications

References 19 publications

Identification of Critical Success Factors (CSFs) of BIM Software Selection: A Combined Approach of FCM and Fuzzy DEMATEL

Identification of Critical Success Factors (CSFs) of BIM Software Selection: A Combined Approach of FCM and Fuzzy DEMATEL

Analysis of sustainability insertion in materials selection courses of engineering undergraduate programmes

Uptake and Dissemination of Multi-Criteria Decision Support Methods in Civil Engineering—Lessons from the Literature

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