Rory Smith is a Visiting Professor in Lift Technology at the University of Northampton and a Consultant to Peters Research Ltd. He has over 49 years of lift industry experience and worked for ThyssenKrupp Elevator for the past 25 years in various regions including the Americas, Asia Pacific, and Southern Europe and the Middle East .
He was involved in TK Elevator’s Internet of Things. Rory's areas of special interest are Robotics, Machine Learning, High-Rise Design, Traffic Analysis, Dispatching Algorithms and Ride Quality. Numerous patents have been awarded for his work.
The use of Artificial Intelligence (AI) in the lift industry is becoming commonplace. It along with remote monitoring, is being applied to lift and escalator maintenance.
Some governments who require monthly or twice monthly maintenance now only require quarterly maintenance if remote monitoring and AI are utilized.
The benefits of AI augmented maintenance such as increased up time, improved first time fix rate and fewer running on arrival (ROA) calls are being touted by governments and lift companies alike. However, no standardised set of metrics exists for these benefits.
A set of metrics for lift and escalator maintenance is proposed and discussed.
The need for standardised metrics and KPI’s for AI performance.
Dr Rory Smith.
University of Northampton, USA.