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Journal ArticleDOI

The Role of Information Technologies to Address Data Handling in Construction Project Management

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TLDR
Proposals that use ICT to provide access to the data and take advantage of this access to manage crucial issues within project management such as costs, planning, risks, safety, progress monitoring, and quality control are presented.
Abstract
Construction is an extremely information-dependent industry in which a project’s success largely depends on good access to and management of data. Effective project management requires the characterization of its challenging issues and the use of appropriate tools for data handling. For this purpose, the construction industry is increasingly adopting the use of information and communication technologies (ICT) in recent years. Given the acknowledged potential of ICT to bring about improvements in other industries, many initiatives have been undertaken to develop appropriate tools to support various tasks during the construction project lifecycle. This paper focuses on the proposals that use ICT to provide access to the data and take advantage of this access to manage crucial issues within project management such as costs, planning, risks, safety, progress monitoring, and quality control. The authors will demonstrate that suitable data handling facilitates and improves the decision-making process an...

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Citations
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Building information modeling and safety management: A systematic review

TL;DR: In this article, the authors review the existing literature surrounding BIM and construction safety in order to explore both useful findings and the gaps in knowledge for future research, concluding that the growing implementation of BIM in the Architecture, Engineering and Construction (AEC) industry is changing the way safety can be approached.
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Technologies for safety and health management in construction: Current use, implementation benefits and limitations, and adoption barriers

TL;DR: The use of technology as a preventive tool for stemming the observed disproportionate rate of worker injuries and fatalities in the construction industry as compared with other industrial sectors has gained substantial attention over the last two decades as discussed by the authors.
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MVD based information exchange between BIM and building energy performance simulation

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Towards sustainable and resilient high density cities through better integration of infrastructure networks

TL;DR: The proposed multisector integrated IAM framework is established from the holistic perspectives of information integration, process integration, collective decision, and harmonization between interdependent infrastructure systems.
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Structural Performance Monitoring Using a Dynamic Data-Driven BIM Environment

TL;DR: The case study demonstrated how the developed approach facilitates more intuitive data interpretation, provides a user-friendly interface to communicate with various stakeholders, allows for the identification of malfunctioning sensors thus contributing to the assessment of monitoring system durability, and forms the basis for a powerful data-driven asset management tool.
References
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Book

Fuzzy sets

TL;DR: A separation theorem for convex fuzzy sets is proved without requiring that the fuzzy sets be disjoint.
Journal ArticleDOI

Case-based reasoning: foundational issues, methodological variations, and system approaches

TL;DR: An overview of the foundational issues related to case-based reasoning is given, some of the leading methodological approaches within the field are described, and the current state of the field is exemplified through pointers to some systems.
Dissertation

The last planner system of production control

TL;DR: The Last Planner system has previously been successfully applied by firms with direct responsibility for production management; e.g., specialty contractors as mentioned in this paper, to increase plan reliability during design processes.
Book

The data warehouse toolkit: practical techniques for building dimensional data warehouses

Ralph Kimball
TL;DR: This definitive guide succinctly explains how to build a data warehouse by using actual case studies of existing data warehouses developed for specific types of business applications such as retail, manufacturing, banking, insurance, subcriptions and airline reservations.
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