predictive models
Posted by MOSIMTEC LLC
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Big Data is a pillar of Industry 4.0. Per SAP, data is “collected from a wide range of sources, from factory equipment and IoT devices to ERP and CRM systems…Analytics powered by AI and machine learning are applied to data in real time and insights are leveraged to improve decision making and automation in every area of supply chain management.”

Companies often aim to “boil the ocean” and gather too much data, but you can’t digitize everything. Focus on what you need, how often you need it and how to scrub it for best data quality. Different people need different data to make decisions e.g. a planner/scheduler needs to know the shop floor operating sequence, % failure rate for equipment, and how long equipment may be down, but not other things. If they have to plan a production line in real-time, they need to know the weak data sources and fill the gaps. If some data is only available weekly, it’s hard to plan hourly.

MOSIMTEC helps companies target high priority data, identify common pitfalls based on our work in the “trenches” of >300 projects, and leverage that data to simulate/improve performance and make good decisions. We work with big data every day and know how to make it work for you. MOSIMTEC can help.

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