Can advanced data processing in the cloud, Big Data database systems and Business Intelligence analytical platforms be helpful in the processes of restructuring and improving logistics of the functioning of production processes?
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Notably, the significance of supply chain management and and the ways by which it will facilitate and improve production processes is known to those involved in modern industrial enterprises. This requires much IT investment which in turn depends on managing and maintaining big data. In point of fact, large data sets are required to analyze computationally to reveal patterns, trends, and associations which may shed light on logistics management and production engineering . However, promoting sustainable development simply encourages technological advances that are a threat to the earth's resources. As such, the use of big data analysis and interpretation should aim at enhancing Green Logistics in order to help the effective functioning of production processes.
Notably, the significance of supply chain management and and the ways by which it will facilitate and improve production processes is known to those involved in modern industrial enterprises. This requires much IT investment which in turn depends on managing and maintaining big data. In point of fact, large data sets are required to analyze computationally to reveal patterns, trends, and associations which may shed light on logistics management and production engineering . However, promoting sustainable development simply encourages technological advances that are a threat to the earth's resources. As such, the use of big data analysis and interpretation should aim at enhancing Green Logistics in order to help the effective functioning of production processes.
I don't know what you are trying to do but the direct answer to your question is yes.
Can Big Data technology be helpful in the processes of restructuring and improving logistics of the functioning of production processes?
Yes it can. E.g. logistical functions & production processes can generate many machine data / metadata that big data analytics can mine / process them to generate certain insights useful to improve the functions / processes (these improvements also can be automated to further improve their performance).
Moreover, with IoT sensors / actuators embedded into the logistical functions or production processes & connect back to big data analytics - this can also improve their availability / performance or minimize their down times through preventive maintenance or self-adjustment etc.
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