An Electrical Facility Management Distribution System GIS Solution

Publication Date


Committee Chair

Karen K. Kemp, Ph.D.

Committee Members

Nader Al-Alem


The amount of electrical distribution system data the University of Redlands Facilities Management Department (FMD) manages, and the dynamic nature of such systems makes the procedures of controlling and effectively managing this type of service very difficult.

The FMD is currently managing the electrical network in a manual way based mainly on hardcopy maps generated by consultants. Practically, the FMD relies totally on the consultant for planning and executing any electrical work. This dependency increases the cost of ownership of the network and makes small tasks, like finding a defective device, time consuming which affects the quality of the electrical service provided on campus.

The GIS solution, the subject of this report, will be an efficient and cost effective alternative to the existing situation. Two pieces for such a system were planned and implemented: a data automation component and an application to support the decision making process.

The data automation part is aimed at the development of the geodatabase that integrates all the spatial features of the electric network. The geodatabase will be the foundation of the application development process.

The GIS application developed is the foundation for a full-scale automated mapping/ facility management (AM/FM) solution. Outage management, emergency response, and periodic maintenance are the three major components that were addressed.

The developed GIS application is an easy-to-use windows application for an unlimited numbers of users, tailored to the user’s limited GIS skill level, with a flexible design and intuitive look and feel. For greater ease of use and maximum productivity, everything the user needs is in one place and the graphical interface content is adjusted based on the flow of information. With the use of this application, finding the defective device or the affected buildings by a certain decision or planning for maintenance and many more functionalities are now easy tasks to achieve.

Full text is available at the University of Redlands


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