| | March 20179CIOReviewfixing issues right the first time through dynamic knowledge based applications delivered to his/her cell phone or tablet. In the event they are visiting a site on a routine maintenance visit, task based maintenance models are replaced with predictive analytics models that modify the maintenance plan to work on the right things in order to prevent elevator shutdowns.Predictive analytics models can be enhanced to the point of actually predicting a failure and adjusting the technician's visit schedule to prescribe a visit in advance of a problem occurring. By providing the technician with an optimum visit schedule that takes into account the condition of each piece of equipment on his route, the technician experiences less disruption caused by service callbacks and is able to create an improved condition of the elevator equipment.While improving customer's elevator and escalator uptime is occurring with the help of MAX, ridership is the next key focus for thyssenkrupp Elevator. Our goal is to make each passenger's 30 second to five minute elevator ride filled with the content they would like to make the ride itself more enjoyable than it has been in the past. This step requires connecting the elevator cabin itself to the internet. High speed data connections to the elevator cab or mesh networks which provide connectivity at various stopping points are just the pipeline for the next generation elevator ride. Imagine checking into a hotel and being able to access, via an elevator touchscreen, a live video stream of the fitness center and the hotel lobby bar. This kind of instant access would help you understand without visiting if there is workout equipment available or room at the bar for dinner. The journey of an integrated field service strategy that leverages predictive analytics to provide condition based maintenance is here and is quickly becoming the norm. The connected elevator, haptic sensors, and cognitive services are the next frontier in improving the ridership experience and maximizing the value of that brief elevator ride of the future. Creating the strategy that advances our customers is the challenge of today. Predictive analytics models can be enhanced to the point of actually predicting a failure and adjusting the technician's visit schedule to prescribe a visit in advance of a problem occurring
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