When All IOT Claims Comes True…
By Stanley Moses, December 16, 2015
Location 1 – PLANT: The ASSET/EQUIPMENT identifies performance reduction by itself using Control Systems Data ~ a Real-time application determines root cause and identify the part which is causing the issue ~ Big data application determines the best vendor for the part replacement using quality and status of their production units (pretty cool.. ahhh) ~ Purchase order gets generated in ERP for part replacement (remember the system has predicted the problem – machine is still not down, so no need for maintaining spares) ~
Location 2 – OEM: ERP Trigger with specifications is sent to OEM’s Enterprise application for a new order ~ OEM’s MES application verifies orders, checks raw material availability and allocates resources (and then updates its purchase order system for replenishment) ~ OEM’s Control systems executes the order using data gathered from MES and best batch from MIS systems ~
Location 3 – Logistics provider: The same time the OEM received the order, the logistics provider is informed in their Order receiving system on upcoming job with start dates ~ the Journey management application chooses transport trucks and plans for an optimized route with real-time GIS feeds ~ notifies the plant on receipt date through Notification system ~
Location 1 – PLANT: Plant receives the part ~ Work order is ready in EAM with resources allocated ~ Planning application selects the best time for the down ~ part is replaced.
More than a dozen applications connected to reduce days/weeks/months in business processes bringing in failure prevention, cost savings, optimization, etc.
While, there are successful case studies connecting few applications, but will any platform transform to an extent that a part to be replaced arrives automatically before the problem has occurred, and without any manual intervention?