scholarly journals Compreensão dos requisitos de informação da ISO 19650

2021 ◽  
Author(s):  
Tatiane Roselli Ribeiro ◽  
Jóice Cristina Ferreira Ramos ◽  
Vivian Maria Amaral de Oliveira ◽  
Regina Coeli Ruschel
Keyword(s):  
Information Management ◽  
Building Information Modeling ◽  
Information Modeling ◽  
Part D ◽  
Building Information

No contexto atual da Modelagem da Informação da Construção (Building Information Modeling – BIM), os requisitos de informação são essenciais para a gestão da informação. Este artigo, por meio da síntese da série de normas publicadas sobre a ISO 19650, descreve os tipos de requisitos de informação e analisa três exemplos dos seis expostos na Information Management According to BS EN ISO 19650: Guidance Part D. Foi identificado os agentes e as finalidades em cada requisito de informações e relacionado com as definições ISO 19650. A análise ajuda compreender o papel de cada requisito de informação e sua relação com os agentes envolvidos.

KEY KNOWLEDGE ENABLER FACTORS FOR EFFECTIVE BIM IMPLEMENTATION IN CONSTRUCTION ORGANIZATIONS

2019 ◽  
Vol 6 (1) ◽  
Author(s):  
Veerasak Likhitruangsilp ◽  
Tran Tuan Kiet
Keyword(s):  
Knowledge Management ◽  
Information Management ◽  
Construction Industry ◽  
Building Information Modeling ◽  
Experiential Knowledge ◽  
Information Modeling ◽  
Survey Questionnaire ◽  
Construction Organizations ◽  
Building Information ◽  
Fuzzy Micmac

Building information modeling (BIM) is an innovative approach that is widely used to overcome various challenges in the construction industry. Current BIM implementation mainly focuses on information management, but puts very limited effort on knowledge. That is, the current BIM practice is information-centered, but it is not mature enough to generate and capture experiential knowledge. In addition, knowledge management (KM) is limitedly adopted for BIM implementation. Based on this paper's rigorous literature review as well as a survey questionnaire, nine knowledge enablers and 52 knowledge enabler factors for BIM implementation (KEFBIs) are identified. In this paper, we deploy ISM fuzzy MICMAC to identify and classify the key KEFBIs that influence BIM implementation by contractors. The results can guide contractors to avoid difficulties while adopting BIM so that they can plan and allocate their resources optimally.

Construction Information Management Based on BIM Technology

2013 ◽  
Vol 368-370 ◽  
pp. 1962-1966 ◽  
Author(s):  
Qian Kun Wang ◽  
Ting Ting Mei ◽  
Zhan Liang Zu
Keyword(s):  
Information Technology ◽  
Project Management ◽  
Information Management ◽  
Building Information Modeling ◽  
Construction Project ◽  
Information Modeling ◽  
Management Theory ◽  
Construction Project Management ◽  
The Real ◽  
Building Information

With the development of project management theory and information technology, construction project management begins to information and integrated in China. This paper discusses the application of the shared model in construction stage by applying the concept of Building Information Modeling. The method of construction whose object is to accomplish construction information management in the real sense is presented in the platform of BIM technology.

scholarly journals An Exploration of Synergies between Lean Concepts and BIM in FM: A Review and Directions for Future Research

Buildings ◽  
2019 ◽  
Vol 9 (6) ◽  
pp. 147 ◽  
Author(s):  
Saratu Terreno ◽  
Somayeh Asadi ◽  
Chimay Anumba
Keyword(s):  
Information Management ◽  
Construction Industry ◽  
Business Processes ◽  
Building Information Modeling ◽  
Information Modeling ◽  
Integrative Review ◽  
Future Research ◽  
Facilities Management ◽  
Persistent Problem ◽  
Building Information

Though Building Information Modeling (BIM) has been proposed as a lean solution for the construction industry, its implementation would itself benefit from a proactive lean approach. This paper aims to study the implementation of BIM in Facilities Management (FM), and explores the synergistic potential of a lean approach. This was carried out through an integrative review of existing literature. BIM-FM implementation was categorized into three phases, which were analyzed to uncover the challenges and barriers faced in each; and explore the potential of a proactive lean approach to counter them. A number of key findings emerged. The existence of inefficiencies and variability in information management leading to an increase in labor hours was identified as a persistent problem in BIM-FM implementation. This had been derived by systematically mapping the challenges to their resultant effects on business processes based on the seven identified wastes in business. The paper provides both academics and practitioners with a collated list of issues based on a new way of examining BIM in FM implementation. It discusses the need for and synergistic potential of lean concepts to reduce information and time waste.

scholarly journals A Study on the BIM Evaluation, Analytics, and Prediction (EAP) Framework and Platform in Linked Building Ontologies and Reasoners with Clouds

2018 ◽  
Vol 2018 ◽  
pp. 1-14 ◽  
Author(s):  
Yongwook Jeong
Keyword(s):  
Information Management ◽  
Building Information Modeling ◽  
Practical Experience ◽  
Video Data ◽  
Information Modeling ◽  
Semantic Data ◽  
Traditional Design ◽  
Rigorous Research ◽  
Building Information ◽  
Building Information Management

Rigorous research and practical experience have allowed building information modeling (BIM) to be successfully adopted in the traditional design process without being severely cumbersome. However, there has been less focus on the connectivity and convergence of multiple types of BIM data or even the connectivity among non-BIM data, such as natural language and image/video data. The connectivity of BIM data means more than the syntactical correlations among them. This paper considers how BIM should be redefined to process BIM data as linked semantic data from the perspective of building information management and employ recent advances in the evaluation, analytics, and prediction (EAP) methodology for linked building ontologies and reasoners.

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