Case Study

A Well-Oiled Machine: Using Operational Data To Mitigate Performance Loss

Source: OSIsoft
Software Analytics

Cargill’s Global Edible Oil Solutions (GEOS) division fills bottles of olive, vegetable, and other oils for delivery. From raw material management to filling, capping, and then sending the bottles to the warehouse, the multi-step process is complex. Given the volume of the production line, it’s imperative that the process runs smoothly every step of the way. Unfortunately, the line was experiencing microstops, or production breaks under one minute, at various points in the process, costing up to 40 hours  per month of productivity. Unable to determine root cause, Cargill turned to the  PI System to analyze and contextualize operational data and take corrective action.

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