Data analytics is the process of collecting, storing, organising, processing, and analysing data to gain insights. In the manufacturing industry, data analytics can track and monitor every step of a product’s life cycle, from production to delivery. By utilising data analytics, companies can gain valuable insights into their manufacturing processes and identify areas for improvement. This can help them optimise operations and reduce costs. Data analytics can also be used to identify trends in customer demand and preferences.
Companies can use this information to adjust production processes and create products that better meet customer needs. Additionally, data analytics can be used to identify potential risks and opportunities in the manufacturing industry. By understanding the data, companies can make informed decisions and develop strategies to capitalise on opportunities and mitigate risks.
Improving efficiency
Data analytics can help manufacturers identify and address inefficiencies in their production processes. By gathering data from all aspects of the production process, they can better understand how they can save time and resources. This includes tracking production times, identifying bottlenecks in the process, and evaluating the effectiveness of specific operations. By analysing this data, companies can make informed decisions about optimising their production processes and becoming more efficient.
Diese Geschichte stammt aus der Efficient Manufacturing - Mar 2024 Issue-Ausgabe von EM - Efficient Manufacturing.
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Diese Geschichte stammt aus der Efficient Manufacturing - Mar 2024 Issue-Ausgabe von EM - Efficient Manufacturing.
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