Data is exploding around the world in every industry, and manufacturing is running into a logistics problem. With the increase in data points and measurements, how can we use it to efficiently organize and improve performance of our processes?
The entire industry of manufacturing makes up a significant portion of global energy consumption, but on a per unit basis that has been decreasing continuously. Manufacturers are using data to work smarter and reduce their use of energy. The best use of data analysis for improving energy efficiency is determining untimely consumption and excess usage. It can also prioritize specific retrofits for machinery that consume more energy per unit than newer models.
By garnering data as granular as machine specific measurements a production manager can see troublesome machinery in detail, and plant managers can coordinate repairs or replacements before production is halted from breakdowns. In certain energy production situations catastrophe can be avoided before start-up by knowing the precise condition of pipelines and machinery.
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