Here are some concerning statistics. In a recent article, it stated that 70% of those who responded to a survey knew when their equipment was due for maintenance or to be replaced. That’s great, right? However, in a GE Study, the results said that only 24% of operators used a ‘predictive’ approach to maintenance using data and analytics. That means that 76% practice a reactive approach or a time based approach. Which do you prefer to use? Let’s take a look at a reactive and predictive maintenance with an AI based forklift safety system.
A reactive approach to maintenance is when a problem has erupted, and typically downtime on the forklift occurs. There can be a few reasons for the reactive approach: funds are not available to care for the forklift, inexperience, lack of time and attention due to other priorities and more. This will cause downtime on the forklift taking the machine out of service for a period of time.
A predictive approach uses data that is collected. For SIERA AI that is with our AI machine learning based forklift safety system. The graphics based system automatically collects data and makes it easy to read on the Dashboard. This will help to know ahead of time when to take action on the forklift so you can eliminate downtime on the forklift and keep it in production to maximize production. Contact us today to find out how reactive and predictive maintenance with an AI based forklift safety system.