IoT in Manufacturing – The Next Step
We are now able to take sensor data and interpret that data to bring relevant and valuable advantages to Maximo.
In general, maintenance work is carried out today by interval-based inspections and servicing – we can now offer preventative maintenance based up on the information provided by sensors. These sensors could already be installed on current machinery or retrofitted and can provide information previously unobtainable due to advances in technology. The cost and efficiency benefits for work management in manufacturing environments are significant.
Thankfully, we don’t have to rely on human resource to make use of all of this new data. For example, using Artificial Intelligence (or AI), data can be interpreted quicker and more accurately, with exceptions or specific conditions of interest identified immediately. Maximo can be configured so that specific circumstances trigger work orders, inspections and a whole host of commands and operations. There is huge scope for reducing both the cost of inspections and interval-based maintenance, whilst reducing the downtime of production equipment.
BPD Zenith uses the IBM IoT Platform to connect assets and bring the information from the assets into Maximo. We are also working with IBM Asset Performance Management and other tools from the IBM Maximo EAM suite to further enhance maintenance operations.