How Intelligent Analytics Is Transforming OEM Manufacturing Operations

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Why Are OEM Manufacturers Adopting Intelligent Analytics Today?

Intelligent analytics is a solution OEM manufacturers are turning to as conventional manufacturing systems are not giving real-time visibility, are using siloed data and reacting too late to operational issues. With IoT and advanced analytics manufacturers can bring shop floor, supply chain and engineering data together to deliver faster, data driven decisions, reduce downtime, improve quality and increase overall efficiency.

Challenges with Traditional Manufacturing Oversight

Manufacturing oversight has been largely the catching, up phase game for decades. Managers are generally forced to piece together their understanding of the past from a combination of manual reports, disconnected spreadsheets, and summaries of the end, of, shift. It is a reactive approach that brings challenges stifling growth and draining profitability.

Information Silos: Data gets enclosed in different systems. For instance, the maintenance team uses its CMMS, quality has its QMS, and engineering operates with its PLM software. These systems do not talk to one another, hence the single, fragmented and usually contradictory view of the real world.
Delayed Reaction to Problems: Results defects or breakdowns are only detected after the event leading to considerable losses. Hence, time, consuming, root cause analysis becomes a post, mortem investigation rather than a live intervention.
Manual Data Gathering: Operators and supervisors are occupied with manually recording production counts, reasons for downtime and quality checks. Such a process is liable to mistakes by humans, and also, it misdirects the attention from the activities that add value.
Lack of Real-Time Visibility: Executives and plant managers do not have a clear and up, to, the, minute production status picture. They have to resort to a series of phone calls to be able to answer essential questions like “Will today’s production target be met?” or “Where is the bottleneck in the production line?”

This conventional framework induces a permanent condition of confusion, which hinders OEMs from making the most of their production