Algorithm library
A performance score is determined by defining an algorithm that computes on a variety of underlying data. The algorithms will expand and evolve.
Planon could attain multiple of such Performance Qualification Scores (PQS) because there can be multiple views on performance, based on the role that a person has:
A maintenance manager would be inclined to look at asset performance in terms of energy consumption and uptime patterns.
a Service Provider’s contract manager could be inclined to look at the same asset in more financial terms (cost and benefit).
SLAs could have various PQS each looking at specific aspects of performance (financial, quality, responsiveness, etc.
Gradually, a library of algorithms will emerge to compute the performance scores of the various business objects. These algorithms can be of a different nature; from almost traditional approaches to the adoption of machine learning, where we would use (IoT and other) data to ‘learn’ how to denominate performance itself: the system would ‘learn’ how the organization for which it is being used, actually perceives ‘performance’.