Industrial Data, IIoT & OEE Analytics

Reporting layers should answer operational questions: OEE by line and shift, downtime Pareto, changeover performance, utility intensity, CIP cycle duration, yield loss and batch genealogy. Where MES functions are required, we implement workflows for electronic work instructions, lot tracking, quality holds and production declarations. Standards such as ISA-95 help structure data between control, operations and business domains. We integrate production events, quality checks, laboratory results and material movements into reporting models that make investigations and daily reviews faster.

Overall Equipment Effectiveness, or OEE, is Availability multiplied by Performance multiplied by Quality, following the ISO 22400-2 definition of the measure. It expresses how much of the available production time turned into good output, and it sits at ISA-95 Level 3, between the control layer and business systems. A single number is only useful when each line counts time the same way, so the harder part is defining machine state consistently across mixed-OEM equipment. We use PackML state models and PackTags to give each machine a common set of states and a common data interface, so a stop on a filler from one vendor and a stop on a capper from another are recorded against the same definitions. With consistent state, OEE, downtime Pareto and changeover figures become comparable line to line rather than reflecting how each OEM happened to label its own events.