David Whitmore, I. Krystallis, Eleni Papadonikolaki, Jordan Ford, Matt Cleaver, David Alexander
An academic-industry team present the results of research conducted into the current benefits being derived from the use of digital twins across the entire life cycle of an asset. We reviewed the benefits being derived by the asset management community as this is where through life productivity and effectiveness benefits will be realised. We conducted a review of relevant literature, surveyed 122 practitioners and worked with our industry partner and the UK professional body to validate our conclusions. Specifically, (1) We examined the current application of digital twins in three industry sectors: Process industries; Infrastructure (Civil Engineering); and Manufacturing. (2) We grouped our data according to role types, i.e., professionals working predominantly in the design and build, and professionals in the operation and maintenance part of the lifecycle. As regards the sector results, we found the responses contradictory. When we control by role type, the results are more cohesive. Individuals involved in the operation and maintenance stages consistently indicated that digital twins are not delivering to their promise. We present a series of problem statements to define the current state, together with some managerial recommendations and we propose further work to establish detailed guidance for infrastructure sector projects.
{"title":"Digital twins in the asset lifecycle: are we there yet?","authors":"David Whitmore, I. Krystallis, Eleni Papadonikolaki, Jordan Ford, Matt Cleaver, David Alexander","doi":"10.1680/jmapl.23.00003","DOIUrl":"https://doi.org/10.1680/jmapl.23.00003","url":null,"abstract":"An academic-industry team present the results of research conducted into the current benefits being derived from the use of digital twins across the entire life cycle of an asset. We reviewed the benefits being derived by the asset management community as this is where through life productivity and effectiveness benefits will be realised. We conducted a review of relevant literature, surveyed 122 practitioners and worked with our industry partner and the UK professional body to validate our conclusions. Specifically, (1) We examined the current application of digital twins in three industry sectors: Process industries; Infrastructure (Civil Engineering); and Manufacturing. (2) We grouped our data according to role types, i.e., professionals working predominantly in the design and build, and professionals in the operation and maintenance part of the lifecycle. As regards the sector results, we found the responses contradictory. When we control by role type, the results are more cohesive. Individuals involved in the operation and maintenance stages consistently indicated that digital twins are not delivering to their promise. We present a series of problem statements to define the current state, together with some managerial recommendations and we propose further work to establish detailed guidance for infrastructure sector projects.","PeriodicalId":517247,"journal":{"name":"Proceedings of the Institution of Civil Engineers - Management, Procurement and Law","volume":"53 4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139960258","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Eva Labadie Olivera, Colin Booth, K. Agyekum, Dalia Al-Tarazi, Hayford Pittri
BIM application in the architecture, engineering and construction (AEC) sectors has received attention particularly in most Global North countries. However, there is a dearth of literature on its application in the Global South context. This research explores insights into the uptake and use of BIM in the Uruguayan AEC sector and proposes recommendations for accelerating its adoption. The study adopted the phenomenological research design. Through interviews with experts, the study relies on a phenomenological analysis from a purposely sampled group of (n=7) experts in BIM in the Uruguayan AEC industry. The discoveries and findings confirm that BIM is still at an early stage of maturity, and many practitioners still need to be convinced of its benefits. Therefore, pilot projects and the development of BIM guidelines are essential to align industry procedures and demonstrate the benefits of implementing BIM to convince hesitant professionals and increase levels of adoption. Furthermore, organizations’ main implementation drivers are external forces like client requirements or the need to acquire a competitive advantage. The study’s findings imply that BIM diffusion dynamics in Uruguay are more aligned with a top-down approach, thus highlighting a design for ‘push’ by authorities such as Government. Overall, this study fills a research gap in the Uruguayan AEC industry and provides an academic reference background for policymakers for future actions. The paper is of value as it contributes to the current state-of-the-art BIM research by drawing insights from the AEC industry in a typical developing country context.
{"title":"BIM macro-adoption: phenomenological insights into the uptake and use in the Uruguayan Architecture, Engineering and Construction (AEC) Industry","authors":"Eva Labadie Olivera, Colin Booth, K. Agyekum, Dalia Al-Tarazi, Hayford Pittri","doi":"10.1680/jmapl.23.00021","DOIUrl":"https://doi.org/10.1680/jmapl.23.00021","url":null,"abstract":"BIM application in the architecture, engineering and construction (AEC) sectors has received attention particularly in most Global North countries. However, there is a dearth of literature on its application in the Global South context. This research explores insights into the uptake and use of BIM in the Uruguayan AEC sector and proposes recommendations for accelerating its adoption. The study adopted the phenomenological research design. Through interviews with experts, the study relies on a phenomenological analysis from a purposely sampled group of (n=7) experts in BIM in the Uruguayan AEC industry. The discoveries and findings confirm that BIM is still at an early stage of maturity, and many practitioners still need to be convinced of its benefits. Therefore, pilot projects and the development of BIM guidelines are essential to align industry procedures and demonstrate the benefits of implementing BIM to convince hesitant professionals and increase levels of adoption. Furthermore, organizations’ main implementation drivers are external forces like client requirements or the need to acquire a competitive advantage. The study’s findings imply that BIM diffusion dynamics in Uruguay are more aligned with a top-down approach, thus highlighting a design for ‘push’ by authorities such as Government. Overall, this study fills a research gap in the Uruguayan AEC industry and provides an academic reference background for policymakers for future actions. The paper is of value as it contributes to the current state-of-the-art BIM research by drawing insights from the AEC industry in a typical developing country context.","PeriodicalId":517247,"journal":{"name":"Proceedings of the Institution of Civil Engineers - Management, Procurement and Law","volume":"75 24","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139959964","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
K. W. Johansen, Kepeng Hong, Carl Schultz, J. Teizer
The construction industry is among the most hazardous industries, and its continuously changing and complex environment results in a labour-intensive task to plan and prevent hazards. The current manual safety planning procedures cannot keep up with the construction progress. This leads to unplanned durations and an increased responsibility for the individual workers to analyse and act accordingly to an emerging situation. This work proposes an automated approach to identify and measure the amount of struck-by falling objects hazard exposure to the construction tasks and their assigned work crews. Additionally, falling objects can originate from activities not foreseen or planned due to planning resolution (e.g., crane lift paths or temporary impassable access routes). Therefore, it is investigated how to extend the current practises of safety analysis in both the planning and construction stages using BIM artificial intelligence and sensor techniques. The proposed strategy is to identify hazard sources and subjects based on their topology and nature in a spatiotemporal analysis. The proposed combinatorial analysis approach is validated in the case study performed on a real construction project in Finland. It yields new insights, which can be necessary for construction sequence decisions and convince workers to improve their safety behaviour.
{"title":"Automated quantification of construction workers’ exposure to struck-by falling object hazards","authors":"K. W. Johansen, Kepeng Hong, Carl Schultz, J. Teizer","doi":"10.1680/jmapl.23.00103","DOIUrl":"https://doi.org/10.1680/jmapl.23.00103","url":null,"abstract":"The construction industry is among the most hazardous industries, and its continuously changing and complex environment results in a labour-intensive task to plan and prevent hazards. The current manual safety planning procedures cannot keep up with the construction progress. This leads to unplanned durations and an increased responsibility for the individual workers to analyse and act accordingly to an emerging situation. This work proposes an automated approach to identify and measure the amount of struck-by falling objects hazard exposure to the construction tasks and their assigned work crews. Additionally, falling objects can originate from activities not foreseen or planned due to planning resolution (e.g., crane lift paths or temporary impassable access routes). Therefore, it is investigated how to extend the current practises of safety analysis in both the planning and construction stages using BIM artificial intelligence and sensor techniques. The proposed strategy is to identify hazard sources and subjects based on their topology and nature in a spatiotemporal analysis. The proposed combinatorial analysis approach is validated in the case study performed on a real construction project in Finland. It yields new insights, which can be necessary for construction sequence decisions and convince workers to improve their safety behaviour.","PeriodicalId":517247,"journal":{"name":"Proceedings of the Institution of Civil Engineers - Management, Procurement and Law","volume":"338 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139893869","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-05-01DOI: 10.1680/jmapl.2020.173.2.88
S. Ross, Sarah McCann, J. Glover
{"title":"Construction Law Quarterly","authors":"S. Ross, Sarah McCann, J. Glover","doi":"10.1680/jmapl.2020.173.2.88","DOIUrl":"https://doi.org/10.1680/jmapl.2020.173.2.88","url":null,"abstract":"","PeriodicalId":517247,"journal":{"name":"Proceedings of the Institution of Civil Engineers - Management, Procurement and Law","volume":"53 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141208130","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：