With exponential data growth everywhere, Big Data is showing up in all business, including manufacturing. Social networks, search engines, photography archives, government, e-commerce, and many areas of science...
What’s in it for manufacturers?
Manufacturing supply chain managers dream of a quick-response, demand-based, integrated, multi-level supply network. That would entail tracking every SKU’s status and pathways from raw material through production, distribution, transportation, and delivery of the final product.
That dream is becoming a reality.
Now it’s possible to constantly monitor a flow of data, making exception-handling faster and more effective. In addition, the ability to monitor factors like defect ratios and on-time delivery can help with supplier selection and performance assessment.
In manufacturing operations, synchronizing demand forecasting with production planning continues to be a struggle. Since actual orders will always differ from predicted demand, it’s a matter of having time to respond. With transparent multi-level integrated supply chain data, there’s better advance notice for adjusting plans and material supply.
Inside the factory, having the ability to utilize the mass of both order and machine status data allows production managers better operations optimization, factory scheduling, routings, production levelling, maintenance planning, and workforce scheduling and deployment.
Catch up with me again on Friday when I’ll take a look at the Big Data threshold.
In the meantime sign up for my free seminar series Capacity Management for Big Data, starting tomorrow September 12 http://www.metron-athene.com/services/training/webinars/index.html
Dale Feiste
Principal Consultant
What’s in it for manufacturers?
Manufacturing supply chain managers dream of a quick-response, demand-based, integrated, multi-level supply network. That would entail tracking every SKU’s status and pathways from raw material through production, distribution, transportation, and delivery of the final product.
That dream is becoming a reality.
Now it’s possible to constantly monitor a flow of data, making exception-handling faster and more effective. In addition, the ability to monitor factors like defect ratios and on-time delivery can help with supplier selection and performance assessment.
In manufacturing operations, synchronizing demand forecasting with production planning continues to be a struggle. Since actual orders will always differ from predicted demand, it’s a matter of having time to respond. With transparent multi-level integrated supply chain data, there’s better advance notice for adjusting plans and material supply.
Inside the factory, having the ability to utilize the mass of both order and machine status data allows production managers better operations optimization, factory scheduling, routings, production levelling, maintenance planning, and workforce scheduling and deployment.
Catch up with me again on Friday when I’ll take a look at the Big Data threshold.
In the meantime sign up for my free seminar series Capacity Management for Big Data, starting tomorrow September 12 http://www.metron-athene.com/services/training/webinars/index.html
Dale Feiste
Principal Consultant
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