R
Ronie Navon
Researcher at Technion – Israel Institute of Technology
Publications - 53
Citations - 1752
Ronie Navon is an academic researcher from Technion – Israel Institute of Technology. The author has contributed to research in topics: Automation & Construction management. The author has an hindex of 20, co-authored 53 publications receiving 1633 citations.
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Journal ArticleDOI
Automated project performance control of construction projects
TL;DR: In this paper, the authors present a real-time control of on-site construction using the concept of measuring indirect parameters and converting them into the sought indicators, such as labor and earthmoving productivity.
Journal ArticleDOI
Assessing research issues in Automated Project Performance Control (APPC)
Ronie Navon,Rafael Sacks +1 more
TL;DR: A new tool with which the gap between the desired functionality of control information systems and that provided in current construction practice can be identified is presented, which can be used to identify the gaps in this area within individual companies, or at an industry level.
Journal ArticleDOI
Model for Automated Monitoring of Fall Hazards in Building Construction
Ronie Navon,O. Kolton +1 more
TL;DR: In this paper, an automated model that identifies the dangerous activities in the project's schedule was developed, and proposes protective activities (guardrails erection) and integrates them into the schedule, constantly comparing the planned guardrails (location and time) and the ones actually used on site.
Journal ArticleDOI
Monitoring labor inputs: automated-data-collection model and enabling technologies
Ronie Navon,Eytan Goldschmidt +1 more
TL;DR: The main finding of the paper is that an ADC system is feasible using three different technologies, and the difficulties and challenges of developing such an Automated Project Performance Control (APPC) system are presented.
Journal ArticleDOI
Feasibility of automated monitoring of lifting equipment in support of project control
TL;DR: In this paper, a system concept, employing a "black box" monitor and an electronic building information model, was developed for automated monitoring of construction lifting equipment to provide useful feedback information for project management.