Measuring the Benefits of an Outage Management System
Morris A. Kemper
Manager, Construction & Operations Support
Public Service Company of Colorado
1123 W. 3rd Ave. Denver, CO 80223
makemper@psco.com
It is well known in the utilities industry that customers are becoming more knowledgeable,
increasing their dependence upon electricity, and increasing their expectations for service levels.
Most utilities also have a growing customer base while market pressures are demanding
reductions in operating costs. Finally, risks of not providing high quality emergency response
services include litigation, financial penalties from regulators, and ultimately loss of customers.
Public Service Company of Colorado (PSCo) addresses these challenges by focusing on
customer needs while improving processes. A process improvement methodology prescribed by
Wayne Brunetti in his book Achieving Total Quality, 1993, Quality Resources, was used. It
involves documenting a given process, gathering data about what is happening within the
process, identifying problems in the process, applying proposed solutions in an organized, logical
way, and measuring the results to guide implementation of changes that improve the process.
The method is an iterative, continuous approach.
When process improvement begins, there exist high benefit yet easy to implement alternatives.
These “low hanging fruit” are used first. As the cycle is repeated to achieve continual gains,
additional improvements can be more challenging. Beyond changing how work is performed is
the option of applying technology to a process. PSCo reached this stage in improving its electric
distribution outage response process in 1997. Data from customer needs analysis, performance
goals established with the Colorado Public Utilities Commission, and experience of executive
management with this technology resulted in a directive to obtain an outage management system.
This paper will explore the approach PSCo used in selecting an OMS, challenges encountered
along the way, and the results to date after getting the system into production.
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