The Experts below are selected from a list of 242718 Experts worldwide ranked by ideXlab platform
Hafiz A Alaka - One of the best experts on this subject based on the ideXlab platform.
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designing out construction Waste using bim technology stakeholders expectations for industry deployment
Journal of Cleaner Production, 2018Co-Authors: Olugbenga O Akinade, Muhammad Bilal, Lukumon O Oyedele, Saheed O Ajayi, Hafiz A Alaka, Hakeem A Owolabi, Omolola O ArawomoAbstract:The need to use Building Information Modelling (BIM) for Construction and Demolition Waste (CDW) minimisation is well documented but most of the existing CDW management tools still lack BIM functionality. This study therefore assesses the expectations of stakeholders on how BIM could be employed for CDW management. After a review of extant literature to assess the limitations of existing CDW management tools, qualitative Focus Group Interviews (FGIs) were conducted with professionals who are familiar with the use of BIM to understand their expectations on the use of BIM for CDW management. The 22 factors identified from the qualitative data analyses were then developed into a questionnaire survey. The exploratory factor Analysis of the responses reveals five major groups of BIM expectations for CDW management, which are: (i) BIM-based collaboration for Waste management, (ii) Waste-driven design process and solutions, (iii) Waste Analysis throughout building lifecycle, (iv) innovative technologies for Waste intelligence and analytics, and (v) improved documentation for Waste management. Considering these groups of factors is key to meeting the needs of the stakeholders regarding the use of BIM for CDW management. These groups of factors are important considerations for the implementation and acceptance of BIM-based tools and practices for CDW management within the construction industry.
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the application of web of data technologies in building materials information modelling for construction Waste analytics
Sustainable Materials and Technologies, 2017Co-Authors: Muhammad Bilal, Lukumon O Oyedele, Kamran Munir, Olugbenga O Akinade, Saheed O Ajayi, Hakeem A Owolabi, Hafiz A AlakaAbstract:Predicting and designing out construction Waste in real time is complex during building Waste Analysis (BWA) since it involves a large number of analyses for investigating multiple Waste-efficient design strategies. These analyses require highly specific data of materials that are scattered across different data sources. A repository that facilitates applications in gaining seamless access to relatively large and distributed data sources of building materials is currently unavailable for conducting the BWA. Such a repository is the first step to developing a simulation tool for the BWA. Existing product data exchange ontologies and classification systems lack adequate modelling of building materials for the BWA. In this paper, we propose a highly resilient and data-agnostic building materials database. We use ontologies at the core of our approach to capture highly accurate and semantically conflicting data of building materials using the Resource Description Framework (RDF) and Web Ontology Language (OWL). Owing to the inherent capabilities of RDF, the architecture provides syntactical homogeneity while accessing the diverse and distributed data of building materials during the BWA. We use software packages such as Protege and Oracle RDF Graph database for implementing the proposed architecture. Our research provides technical details and insights for researchers and software engineers who are seeking to develop the semantic repositories of similar kind of simulation applications that can be used for building Waste performance Analysis.
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Analysis of critical features and evaluation of bim software towards a plug in for construction Waste minimization using big data
International Journal of Sustainable Building Technology and Urban Development, 2015Co-Authors: Muhammad Bilal, Lukumon O Oyedele, Junaid Qadir, Kamran Munir, Olugbenga O Akinade, Saheed O Ajayi, Hafiz A Alaka, Hakeem A OwolabiAbstract:The overall aim of this study is to investigate the potential of Building Information Modelling (BIM) for construction Waste minimization. We evaluated the leading BIM design software products and concluded that none of them currently support construction Waste minimization. This motivates the development of a plug-in for predicting and minimizing construction Waste. After a rigorous literature review and conducting four focused group interviews (FGIs), 12 imperative BIM factors were identified that should be considered for predicting and designing out construction Waste. These factors were categorized into four layers, namely the BIM core features layer, the BIM auxiliary features layer, the Waste management criteria layer, and the application layer. Further, a process to carry out BIM-enabled building Waste Analysis (BWA) is proposed. We have also investigated the usage of big data technologies in the context of Waste minimization. We highlight that big data technologies are inherently suitable for BIM due to their support of storing and processing large datasets. In particular, the use of graph-based representation, Analysis, and visualization can be employed for advancing the state of the art in BIM technology for construction Waste minimization.
Muhammad Bilal - One of the best experts on this subject based on the ideXlab platform.
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designing out construction Waste using bim technology stakeholders expectations for industry deployment
Journal of Cleaner Production, 2018Co-Authors: Olugbenga O Akinade, Muhammad Bilal, Lukumon O Oyedele, Saheed O Ajayi, Hafiz A Alaka, Hakeem A Owolabi, Omolola O ArawomoAbstract:The need to use Building Information Modelling (BIM) for Construction and Demolition Waste (CDW) minimisation is well documented but most of the existing CDW management tools still lack BIM functionality. This study therefore assesses the expectations of stakeholders on how BIM could be employed for CDW management. After a review of extant literature to assess the limitations of existing CDW management tools, qualitative Focus Group Interviews (FGIs) were conducted with professionals who are familiar with the use of BIM to understand their expectations on the use of BIM for CDW management. The 22 factors identified from the qualitative data analyses were then developed into a questionnaire survey. The exploratory factor Analysis of the responses reveals five major groups of BIM expectations for CDW management, which are: (i) BIM-based collaboration for Waste management, (ii) Waste-driven design process and solutions, (iii) Waste Analysis throughout building lifecycle, (iv) innovative technologies for Waste intelligence and analytics, and (v) improved documentation for Waste management. Considering these groups of factors is key to meeting the needs of the stakeholders regarding the use of BIM for CDW management. These groups of factors are important considerations for the implementation and acceptance of BIM-based tools and practices for CDW management within the construction industry.
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the application of web of data technologies in building materials information modelling for construction Waste analytics
Sustainable Materials and Technologies, 2017Co-Authors: Muhammad Bilal, Lukumon O Oyedele, Kamran Munir, Olugbenga O Akinade, Saheed O Ajayi, Hakeem A Owolabi, Hafiz A AlakaAbstract:Predicting and designing out construction Waste in real time is complex during building Waste Analysis (BWA) since it involves a large number of analyses for investigating multiple Waste-efficient design strategies. These analyses require highly specific data of materials that are scattered across different data sources. A repository that facilitates applications in gaining seamless access to relatively large and distributed data sources of building materials is currently unavailable for conducting the BWA. Such a repository is the first step to developing a simulation tool for the BWA. Existing product data exchange ontologies and classification systems lack adequate modelling of building materials for the BWA. In this paper, we propose a highly resilient and data-agnostic building materials database. We use ontologies at the core of our approach to capture highly accurate and semantically conflicting data of building materials using the Resource Description Framework (RDF) and Web Ontology Language (OWL). Owing to the inherent capabilities of RDF, the architecture provides syntactical homogeneity while accessing the diverse and distributed data of building materials during the BWA. We use software packages such as Protege and Oracle RDF Graph database for implementing the proposed architecture. Our research provides technical details and insights for researchers and software engineers who are seeking to develop the semantic repositories of similar kind of simulation applications that can be used for building Waste performance Analysis.
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Analysis of critical features and evaluation of bim software towards a plug in for construction Waste minimization using big data
International Journal of Sustainable Building Technology and Urban Development, 2015Co-Authors: Muhammad Bilal, Lukumon O Oyedele, Junaid Qadir, Kamran Munir, Olugbenga O Akinade, Saheed O Ajayi, Hafiz A Alaka, Hakeem A OwolabiAbstract:The overall aim of this study is to investigate the potential of Building Information Modelling (BIM) for construction Waste minimization. We evaluated the leading BIM design software products and concluded that none of them currently support construction Waste minimization. This motivates the development of a plug-in for predicting and minimizing construction Waste. After a rigorous literature review and conducting four focused group interviews (FGIs), 12 imperative BIM factors were identified that should be considered for predicting and designing out construction Waste. These factors were categorized into four layers, namely the BIM core features layer, the BIM auxiliary features layer, the Waste management criteria layer, and the application layer. Further, a process to carry out BIM-enabled building Waste Analysis (BWA) is proposed. We have also investigated the usage of big data technologies in the context of Waste minimization. We highlight that big data technologies are inherently suitable for BIM due to their support of storing and processing large datasets. In particular, the use of graph-based representation, Analysis, and visualization can be employed for advancing the state of the art in BIM technology for construction Waste minimization.
Hakeem A Owolabi - One of the best experts on this subject based on the ideXlab platform.
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designing out construction Waste using bim technology stakeholders expectations for industry deployment
Journal of Cleaner Production, 2018Co-Authors: Olugbenga O Akinade, Muhammad Bilal, Lukumon O Oyedele, Saheed O Ajayi, Hafiz A Alaka, Hakeem A Owolabi, Omolola O ArawomoAbstract:The need to use Building Information Modelling (BIM) for Construction and Demolition Waste (CDW) minimisation is well documented but most of the existing CDW management tools still lack BIM functionality. This study therefore assesses the expectations of stakeholders on how BIM could be employed for CDW management. After a review of extant literature to assess the limitations of existing CDW management tools, qualitative Focus Group Interviews (FGIs) were conducted with professionals who are familiar with the use of BIM to understand their expectations on the use of BIM for CDW management. The 22 factors identified from the qualitative data analyses were then developed into a questionnaire survey. The exploratory factor Analysis of the responses reveals five major groups of BIM expectations for CDW management, which are: (i) BIM-based collaboration for Waste management, (ii) Waste-driven design process and solutions, (iii) Waste Analysis throughout building lifecycle, (iv) innovative technologies for Waste intelligence and analytics, and (v) improved documentation for Waste management. Considering these groups of factors is key to meeting the needs of the stakeholders regarding the use of BIM for CDW management. These groups of factors are important considerations for the implementation and acceptance of BIM-based tools and practices for CDW management within the construction industry.
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the application of web of data technologies in building materials information modelling for construction Waste analytics
Sustainable Materials and Technologies, 2017Co-Authors: Muhammad Bilal, Lukumon O Oyedele, Kamran Munir, Olugbenga O Akinade, Saheed O Ajayi, Hakeem A Owolabi, Hafiz A AlakaAbstract:Predicting and designing out construction Waste in real time is complex during building Waste Analysis (BWA) since it involves a large number of analyses for investigating multiple Waste-efficient design strategies. These analyses require highly specific data of materials that are scattered across different data sources. A repository that facilitates applications in gaining seamless access to relatively large and distributed data sources of building materials is currently unavailable for conducting the BWA. Such a repository is the first step to developing a simulation tool for the BWA. Existing product data exchange ontologies and classification systems lack adequate modelling of building materials for the BWA. In this paper, we propose a highly resilient and data-agnostic building materials database. We use ontologies at the core of our approach to capture highly accurate and semantically conflicting data of building materials using the Resource Description Framework (RDF) and Web Ontology Language (OWL). Owing to the inherent capabilities of RDF, the architecture provides syntactical homogeneity while accessing the diverse and distributed data of building materials during the BWA. We use software packages such as Protege and Oracle RDF Graph database for implementing the proposed architecture. Our research provides technical details and insights for researchers and software engineers who are seeking to develop the semantic repositories of similar kind of simulation applications that can be used for building Waste performance Analysis.
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Analysis of critical features and evaluation of bim software towards a plug in for construction Waste minimization using big data
International Journal of Sustainable Building Technology and Urban Development, 2015Co-Authors: Muhammad Bilal, Lukumon O Oyedele, Junaid Qadir, Kamran Munir, Olugbenga O Akinade, Saheed O Ajayi, Hafiz A Alaka, Hakeem A OwolabiAbstract:The overall aim of this study is to investigate the potential of Building Information Modelling (BIM) for construction Waste minimization. We evaluated the leading BIM design software products and concluded that none of them currently support construction Waste minimization. This motivates the development of a plug-in for predicting and minimizing construction Waste. After a rigorous literature review and conducting four focused group interviews (FGIs), 12 imperative BIM factors were identified that should be considered for predicting and designing out construction Waste. These factors were categorized into four layers, namely the BIM core features layer, the BIM auxiliary features layer, the Waste management criteria layer, and the application layer. Further, a process to carry out BIM-enabled building Waste Analysis (BWA) is proposed. We have also investigated the usage of big data technologies in the context of Waste minimization. We highlight that big data technologies are inherently suitable for BIM due to their support of storing and processing large datasets. In particular, the use of graph-based representation, Analysis, and visualization can be employed for advancing the state of the art in BIM technology for construction Waste minimization.
Olugbenga O Akinade - One of the best experts on this subject based on the ideXlab platform.
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designing out construction Waste using bim technology stakeholders expectations for industry deployment
Journal of Cleaner Production, 2018Co-Authors: Olugbenga O Akinade, Muhammad Bilal, Lukumon O Oyedele, Saheed O Ajayi, Hafiz A Alaka, Hakeem A Owolabi, Omolola O ArawomoAbstract:The need to use Building Information Modelling (BIM) for Construction and Demolition Waste (CDW) minimisation is well documented but most of the existing CDW management tools still lack BIM functionality. This study therefore assesses the expectations of stakeholders on how BIM could be employed for CDW management. After a review of extant literature to assess the limitations of existing CDW management tools, qualitative Focus Group Interviews (FGIs) were conducted with professionals who are familiar with the use of BIM to understand their expectations on the use of BIM for CDW management. The 22 factors identified from the qualitative data analyses were then developed into a questionnaire survey. The exploratory factor Analysis of the responses reveals five major groups of BIM expectations for CDW management, which are: (i) BIM-based collaboration for Waste management, (ii) Waste-driven design process and solutions, (iii) Waste Analysis throughout building lifecycle, (iv) innovative technologies for Waste intelligence and analytics, and (v) improved documentation for Waste management. Considering these groups of factors is key to meeting the needs of the stakeholders regarding the use of BIM for CDW management. These groups of factors are important considerations for the implementation and acceptance of BIM-based tools and practices for CDW management within the construction industry.
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the application of web of data technologies in building materials information modelling for construction Waste analytics
Sustainable Materials and Technologies, 2017Co-Authors: Muhammad Bilal, Lukumon O Oyedele, Kamran Munir, Olugbenga O Akinade, Saheed O Ajayi, Hakeem A Owolabi, Hafiz A AlakaAbstract:Predicting and designing out construction Waste in real time is complex during building Waste Analysis (BWA) since it involves a large number of analyses for investigating multiple Waste-efficient design strategies. These analyses require highly specific data of materials that are scattered across different data sources. A repository that facilitates applications in gaining seamless access to relatively large and distributed data sources of building materials is currently unavailable for conducting the BWA. Such a repository is the first step to developing a simulation tool for the BWA. Existing product data exchange ontologies and classification systems lack adequate modelling of building materials for the BWA. In this paper, we propose a highly resilient and data-agnostic building materials database. We use ontologies at the core of our approach to capture highly accurate and semantically conflicting data of building materials using the Resource Description Framework (RDF) and Web Ontology Language (OWL). Owing to the inherent capabilities of RDF, the architecture provides syntactical homogeneity while accessing the diverse and distributed data of building materials during the BWA. We use software packages such as Protege and Oracle RDF Graph database for implementing the proposed architecture. Our research provides technical details and insights for researchers and software engineers who are seeking to develop the semantic repositories of similar kind of simulation applications that can be used for building Waste performance Analysis.
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Analysis of critical features and evaluation of bim software towards a plug in for construction Waste minimization using big data
International Journal of Sustainable Building Technology and Urban Development, 2015Co-Authors: Muhammad Bilal, Lukumon O Oyedele, Junaid Qadir, Kamran Munir, Olugbenga O Akinade, Saheed O Ajayi, Hafiz A Alaka, Hakeem A OwolabiAbstract:The overall aim of this study is to investigate the potential of Building Information Modelling (BIM) for construction Waste minimization. We evaluated the leading BIM design software products and concluded that none of them currently support construction Waste minimization. This motivates the development of a plug-in for predicting and minimizing construction Waste. After a rigorous literature review and conducting four focused group interviews (FGIs), 12 imperative BIM factors were identified that should be considered for predicting and designing out construction Waste. These factors were categorized into four layers, namely the BIM core features layer, the BIM auxiliary features layer, the Waste management criteria layer, and the application layer. Further, a process to carry out BIM-enabled building Waste Analysis (BWA) is proposed. We have also investigated the usage of big data technologies in the context of Waste minimization. We highlight that big data technologies are inherently suitable for BIM due to their support of storing and processing large datasets. In particular, the use of graph-based representation, Analysis, and visualization can be employed for advancing the state of the art in BIM technology for construction Waste minimization.
Saheed O Ajayi - One of the best experts on this subject based on the ideXlab platform.
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designing out construction Waste using bim technology stakeholders expectations for industry deployment
Journal of Cleaner Production, 2018Co-Authors: Olugbenga O Akinade, Muhammad Bilal, Lukumon O Oyedele, Saheed O Ajayi, Hafiz A Alaka, Hakeem A Owolabi, Omolola O ArawomoAbstract:The need to use Building Information Modelling (BIM) for Construction and Demolition Waste (CDW) minimisation is well documented but most of the existing CDW management tools still lack BIM functionality. This study therefore assesses the expectations of stakeholders on how BIM could be employed for CDW management. After a review of extant literature to assess the limitations of existing CDW management tools, qualitative Focus Group Interviews (FGIs) were conducted with professionals who are familiar with the use of BIM to understand their expectations on the use of BIM for CDW management. The 22 factors identified from the qualitative data analyses were then developed into a questionnaire survey. The exploratory factor Analysis of the responses reveals five major groups of BIM expectations for CDW management, which are: (i) BIM-based collaboration for Waste management, (ii) Waste-driven design process and solutions, (iii) Waste Analysis throughout building lifecycle, (iv) innovative technologies for Waste intelligence and analytics, and (v) improved documentation for Waste management. Considering these groups of factors is key to meeting the needs of the stakeholders regarding the use of BIM for CDW management. These groups of factors are important considerations for the implementation and acceptance of BIM-based tools and practices for CDW management within the construction industry.
-
the application of web of data technologies in building materials information modelling for construction Waste analytics
Sustainable Materials and Technologies, 2017Co-Authors: Muhammad Bilal, Lukumon O Oyedele, Kamran Munir, Olugbenga O Akinade, Saheed O Ajayi, Hakeem A Owolabi, Hafiz A AlakaAbstract:Predicting and designing out construction Waste in real time is complex during building Waste Analysis (BWA) since it involves a large number of analyses for investigating multiple Waste-efficient design strategies. These analyses require highly specific data of materials that are scattered across different data sources. A repository that facilitates applications in gaining seamless access to relatively large and distributed data sources of building materials is currently unavailable for conducting the BWA. Such a repository is the first step to developing a simulation tool for the BWA. Existing product data exchange ontologies and classification systems lack adequate modelling of building materials for the BWA. In this paper, we propose a highly resilient and data-agnostic building materials database. We use ontologies at the core of our approach to capture highly accurate and semantically conflicting data of building materials using the Resource Description Framework (RDF) and Web Ontology Language (OWL). Owing to the inherent capabilities of RDF, the architecture provides syntactical homogeneity while accessing the diverse and distributed data of building materials during the BWA. We use software packages such as Protege and Oracle RDF Graph database for implementing the proposed architecture. Our research provides technical details and insights for researchers and software engineers who are seeking to develop the semantic repositories of similar kind of simulation applications that can be used for building Waste performance Analysis.
-
Analysis of critical features and evaluation of bim software towards a plug in for construction Waste minimization using big data
International Journal of Sustainable Building Technology and Urban Development, 2015Co-Authors: Muhammad Bilal, Lukumon O Oyedele, Junaid Qadir, Kamran Munir, Olugbenga O Akinade, Saheed O Ajayi, Hafiz A Alaka, Hakeem A OwolabiAbstract:The overall aim of this study is to investigate the potential of Building Information Modelling (BIM) for construction Waste minimization. We evaluated the leading BIM design software products and concluded that none of them currently support construction Waste minimization. This motivates the development of a plug-in for predicting and minimizing construction Waste. After a rigorous literature review and conducting four focused group interviews (FGIs), 12 imperative BIM factors were identified that should be considered for predicting and designing out construction Waste. These factors were categorized into four layers, namely the BIM core features layer, the BIM auxiliary features layer, the Waste management criteria layer, and the application layer. Further, a process to carry out BIM-enabled building Waste Analysis (BWA) is proposed. We have also investigated the usage of big data technologies in the context of Waste minimization. We highlight that big data technologies are inherently suitable for BIM due to their support of storing and processing large datasets. In particular, the use of graph-based representation, Analysis, and visualization can be employed for advancing the state of the art in BIM technology for construction Waste minimization.
