Conquering the data mountain

Published: 16-Jun-2017

Collecting and preparing data for analysis consumes 50% of the time and effort; that slow process is a barrier to reducing the severity and duration of process upsets

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Being able to successfully manage mountains of data is being able to reach the summit of production efficiency.

The amount of data pouring out of plant operations on a daily basis is a familiar challenge for process manufacturers today. It can be an exhaustive and painstaking environment for engineers and operators having to wade through vast amounts of information generated from various sources and collected across disparate systems.

To conquer data complexity, progressive organisations are standardising on integrated manufacturing execution systems (MES) to reach the pinnacle of best practices in data management.

The ability to unearth relevant information, capture, contextualise, visualise and analyse content is crucial to understanding plant behaviour and to make critical operational decisions.

Planning the journey

The explorer, Freya Stark, once said: “There can be no happiness if the things we believe in are different from the things we do.”

It is also true that when production operators execute in ways that differ from the vision and goals set by company leaders there will be big disappointments in business performance.

A belief in business alignment is vital to efficiency. Sophisticated MES analytics tools help drive greater collaboration across the enterprise by enabling benchmarking and sharing of best practices for faster decision making.

Millions of dollars are lost every year because of production disruptions and unplanned shutdowns. Delivering real-time data intelligence from the plant floor to the boardroom helps to achieve continuous improvement in manufacturing operational excellence.

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