טכניון מכון טכנולוגי לישראל
הטכניון מכון טכנולוגי לישראל - בית הספר ללימודי מוסמכים  
M.Sc Thesis
M.Sc StudentNishri Yosef
SubjectAutomated Identification of Workers on Construction Site
DepartmentDepartment of Design and Manufacturing Management
Supervisor Professor Ronie Navon
Full Thesis text - in Hebrew Full thesis text - Hebrew Version


Abstract

The construction industry, in comparison with other industries, lacks automatic tools for managing and controlling production. This shortage stems, among others, from the difference between the construction industry where the product is stationary, and the production tools are mobile while in other industries, the product is mobile and the production tools are stationary.

A recent study indicated that the location of employees in the construction site can be referred to as an indirect means of measuring productivity at the site. The locations of the employees at the site and the periods of time in which the locations are determined, enable identifying the period of time spent by the employees near each of the building elements.

In another study, an experiment was conducted in a construction site to verity the relationship between the employee's location to the task at hand. The experiment included a manual measurement of the employee locations at the building site.

The present thesis presents a model for the automatic attribution of employees to the building elements they work on. RFID interrogators are carried on the hips of the employees and RFID tags, are permanently situated at the site by positioning them along the construction elements at set and calculated intervals. To check the viability of the solution, a simulation was conducted that simulates the activity of the RFID components. The simulation used the same locations that were used in the experiment from the construction site and a comparison was made between the preliminary results received during the experiment, the attribution to the construction elements on site, and the final attribution results received during the simulation. The results of the comparison indicate a general suitability of over 90%. The results indicate that the proposed solution in the present thesis can serve as an automatic component for attributing employees to construction elements for the general model that was presented in the research study.