Perceived Critical Success Factors for Implementing Building Information Modelling in Construction Small- and Medium-Sized Enterprises

CivilEng, Journal Year: 2025, Volume and Issue: 6(1), P. 5 - 5

Published: Jan. 20, 2025

Building information modelling (BIM) is an emerging technology in the building sector. As with any technology, identification of critical success factors (CSFs) for BIM essential. On other hand, small- and medium-sized enterprises (SMEs) consistently play a vital role construction industry. Therefore, it essential to determine elements effective implementation these companies. Hence, this study aims CSFs implementing SMEs developing country Iran. To accomplish this, three rounds Delphi technique were carried out participation fifteen professionals from based According survey findings, total 27 identified utilisation SMEs. Subsequently, assess CSFs, questionnaire utilising five-point Likert scale measurement was designed. Then, distributed among specialists The included twenty-seven categorised into four primary groups: technical, managerial, financial, legal. A 56 questionnaires gathered examined. findings indicate that highlighted are above average level. Furthermore, high impact on successful Iran determined. Four high-impact (1) employer’s demand; (2) understanding advantages practicality BIM; (3) awareness ensuring return investment; (4) efficient suitable legislation. can serve as valuable resource stakeholders, providing them useful tool enhance decision-making about SMEs, especially countries.

Language: Английский

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A hybrid risk-based maintenance approach for evaluating the maintenance risks of urban tunnel lighting systems

Journal of Quality in Maintenance Engineering, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 7, 2025

Purpose Given the expansion of cities and urbanization, developing efficient reliable transportation infrastructure, especially urban tunnels, is essential. Failure to maintain such complex construction facilities with intelligent equipment systems could result in human losses impose huge costs on governments. Therefore, it necessary have practical maintenance plans operational safety monitoring for which leads their long lifespan, increases users’ reduces operation risks. Design/methodology/approach Hence, this research aims evaluate risks tunnel lighting (UTLS) using a hybrid risk-based (RBM) approach. In vein, three rounds fuzzy Delphi survey were conducted consolidate specific criteria risk factors circumstances Iran UTLS. Furthermore, DEMATEL method was applied determine cause-and-effect relationships among identified critical criteria. The associated UTLS then analyzed ranked combination ANP-VIKOR techniques. Findings ranking various revealed that “poor performance switchboards power supply due faults switchboard equipment” first, followed by panels unfavorable environmental conditions,” “The poor problems switches (key failure)” burning fuses unauthorized current” findings study indicate method, developed as network, provides reliability maintaining (UTLS). Originality/value It anticipated will considerably contribute improving management while enhancing different stakeholders’ understanding most maintenance, particularly toward Iran. An RBM program can preparing formulating policies, comprehensive guidelines or regulations tunnels are recommended future research.

Language: Английский

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Building a safer future: Analysis of studies on safety I and safety II in the construction industry

Safety Science, Journal Year: 2024, Volume and Issue: 178, P. 106621 - 106621

Published: July 31, 2024

The construction industry is one of the most dangerous, with daily dangers and hazards. commonly employs Safety I, a reactive approach to reduce accidents incidents by identifying controlling II focuses on using worker strengths promoting ongoing improvement. Nevertheless, both I have faced criticism for their excessive emphasis regulatory compliance (Safety I) executive constraints II), respectively. Hence, this paper presents rich synthesis literature in between January 2000 December 2023 prior proposing strategies integrating them build safer future focusing implementing each technique. In scientometric research study, 35 related papers were sought selected after checking validating Web Science journal database. Bibliometric analysis, through HistCite VOSviewer software programmes, was then used create maps from network data illustrate an exploration prevailing discourse. Interpretivism develop application combination new theory industry. Results reveal that historical progression undertaken has developed first introducing field (2011 2015) providing solutions (2015 2019) finally making constructive suggestions (post future. Notably, prominent topics recent years examined resilience progress toward safety improvements concepts. This highlights positive outcomes can be achieved via integration Furthermore, offers efficient pragmatic techniques incorporating approaches industry, which are crucial comprehensive integrated administration. By combining existing practices focus learning successes, organisations work environment, improve productivity foster continuous

Language: Английский

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Probing the Effect of Business Intelligence on the Performance of Construction Projects Through the Mediating Variable of Project Quality Management

Buildings, Journal Year: 2025, Volume and Issue: 15(4), P. 621 - 621

Published: Feb. 17, 2025

Business intelligence is a new approach to helping project managers and personnel make correct, informed decisions through preparing series of analytical reports in management dashboard by analysing mining all the related data. This study aimed investigate effect business on performance construction projects Iran mediating variable quality management. In contrast prior research that has evaluated aforementioned variables isolation, current introduced comprehensive structural model interrelationships among intelligence, management, performance. employed descriptive–correlational methodology utilising equation modelling, involving sample 102 Iranian industry specialists recruited convenience sampling. Data were gathered using standardised questionnaires analysed with modelling (SEM) Smart-PLS regression analysis SPSS software. The SEM indicated significantly enhances (β = 0.534, p < 0.01) influences 0.743, positively affects 0.396, 0.01). Furthermore, exerts slight influence this relationship, indirect calculated at 0.295 direct assessed 0.534. revealed variable’s dimensions (technical managerial, financial economic, data information management) can predict performance, while technical managerial economic Implementing technologies decision-making for elevates study’s findings suggest should employ systems enhance

Language: Английский

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Deploying Value Engineering Strategies for Ameliorating Construction Project Management Performance: A Delphi-SWARA Study Approach

Buildings, Journal Year: 2024, Volume and Issue: 14(8), P. 2291 - 2291

Published: July 24, 2024

This study was carried out to rank and prioritize the aspects that have been shown an impact on improvement of construction project management (CPM) performance based value engineering. analysis with Iranian industry’s current situation in mind. The respondents Delphi panel were chosen from among managers professionals a focus building projects. These had more than 20 years experience working international projects, addition their expertise management, they also understood principles earned Thus, components extracted literature review used as basis for designing structured interview 39 important effective previously determined identified factors. questionnaires distributed experts, returned analysed using SWARA technique weight importance Using method, opinions expert members consisting engineers semi-structured questionnaire gather managers, CPM. As by results, stakeholder time money, worth, allocated first third themselves respective weights 0.104, 0.103, 0.087. sub-criteria cost objective, function objective 37th 39th ranks 0.00050, 0.00033, 0.00021.

Language: Английский

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An integrated Cognitive Reliability and Error Analysis Method (CREAM) and optimization for enhancing human reliability in blockchain

Decision Analytics Journal, Journal Year: 2024, Volume and Issue: 12, P. 100506 - 100506

Published: Aug. 1, 2024

Minor errors in smart contract coding on the blockchain can lead to significant and irreversible economic losses for transaction parties. Therefore, mitigating risk posed by is crucial, necessitating development of approaches enhance human reliability coding. The Cognitive Reliability Error Analysis Method (CREAM) one such approach, examining how environmental conditions affect error probability (HEP). Within CREAM, Common Performance Conditions (CPCs) influence probability. This study ranks CPCs based their importance using Bayesian Best Worst (BWM). Two methods are developed basic CREAM. In first method, experts specify control mode opinions, experts' determined according level. second an optimization problem formulated select most suitable programs, enhancing reliability. proposed model considers energy, cost, organizational budget factors identify optimal while minimizing risks costs associated with errors. A case electronics supply chain validates applicability efficacy methods. Results from method indicate opportunistic mode. contrast, shows that improving CPC levels has a more effect, shifting towards tactical reducing HEP 0.00249.

Language: Английский

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Multi-Criteria Decision Making for Prioritizing Project Manager Skills according to Construction Project Success Factors

Engineering Technology & Applied Science Research, Journal Year: 2025, Volume and Issue: 15(2), P. 21861 - 21875

Published: April 3, 2025

The possession of specific skills by the project manager is a critical factor in success construction projects at every stage development. objective this research to identify and prioritize that must possess ensure successful project. A comprehensive theoretical review was conducted, leading identification 22 soft 10 technical are essential for managers projects. preliminary questionnaire used evaluate relative importance interrelationships among identified skills. This followed an expert questionnaire, which assessed utilizing two analytical methods: Stepwise Weight Assessment Ratio Analysis (SWARA) main factors project, Technique Order Preference Similarity Ideal Solution (TOPSIS) according factors. revealed all were deemed be significant importance, with percentages ranging from 0.7 0.818. Additionally, moderate weak correlation observed between skills, values 0.005 0.686, while medium (0.707). top five as coordination, general knowledge management, communication, dealing others, organization. TOPSIS technique preference order skills: coordination skill (0.98), supervision (0.552), management (0.473). Regarding following revealed: legal experience (0.672), oral listening (0.369), planning, strategic goal setting (0.359). findings study assist those responsible making decisions concerning most required provide framework selecting based on these competencies.

Language: Английский

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Identification, classification, and prioritization of the main risk factors of work-related musculoskeletal disorders using the hybrid SWARA–PROMETHEE method

Work, Journal Year: 2025, Volume and Issue: unknown

Published: April 24, 2025

Background Various risk factors play a role in causing musculoskeletal disorders. These do not have similar importance. Objective The objective of this research was to identify, categorize, and rank the contributing WMSDs by employing an integrative approach combining SWARAand PROMETHEE as multi-criteria decision-making techniques. Methods This empirical qualitative investigation commenced with identification key influencing MSDs through exhaustive review existing literature. were systematically organized into five distinct categories: individual characteristics, biomechanical demands, equipment technological considerations, psychosocial dynamics, ambient environmental conditions. Subsequently, relative importance hierarchy these categories established utilizing SWARA technique. Following this, method applied discern weights rankings specific within each category. Results analysis revealed that physical had most substantial weight priority, value 0.47. Successive attributed tool technology (0.25), personal (0.13), (0.07), (0.04), order. Conclusion findings indicate pronounced emphasis on over other context occupational settings. insights are instrumental guiding preventative strategies, particular focus addressing influential factors. use techniques along evaluation can help identify prioritize important

Language: Английский

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Evaluating human error probability in maintenance task: An integrated system dynamics and machine learning approach

Human Factors and Ergonomics in Manufacturing & Service Industries, Journal Year: 2024, Volume and Issue: 35(1)

Published: Oct. 16, 2024

Abstract Human error is often implicated in industrial accidents and frequently found to be a symptom of broader issues within the sociotechnical system. Therefore, research exploring human during maintenance activities important. This article aims assess probability tasks at cement factory using Cognitive Reliability Error Analysis Method System Dynamics modeling. Given that (HEP) influenced by various common performance conditions (CPCs) their sub‐factors, changes dynamically response other variables, SD method offers practical approach for estimating predicting behavior over time. study identifies quantifies variables affecting HEP, explores interactions feedback tasks, assesses associated costs. The machine learning technique then used estimate relationship between HEP these optimal value function, 0.000772, determined identifying minimum point cubic thereby minimizing costs occupational accidents. Determining crucial excessive investing improved ergonomics CPCs better performance. addresses significant gap existing where impact on has not been estimated as function. Furthermore, three scenarios are presented help managers allocate organization's budget more effectively.

Language: Английский

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An Analysis of Intuitionistic Fuzzy Sets in Risk-Based Inspection: A Case Study of Hydrogen Crack Damage in Steel Tanks Under Gas Pressure

Cleaner Engineering and Technology, Journal Year: 2024, Volume and Issue: unknown, P. 100855 - 100855

Published: Dec. 1, 2024

Language: Английский

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