Role Of Big Data In Plant Operations

Industrial companies are looking towards AI to improve various aspects of their plant operations, such as:

• Reduce downtime
• Schedule maintenance
• Improve product quality

However, achieving these operational impacts from AI is challenging.

Methods to Integrate Big Data in Plant Operations

Organizing the Big Data

Companies will have to engineer their big data to include knowledge of various operations such as mass balance or thermodynamic relationships.

Formation of Cross-functional Data-science Teams

They will also need to form cross-functional data science teams that include employees who are capable of bridging the gap between machine learning approaches and process knowledge.

A truetransformationcan be achieved once these elements are combined with an agile way of working that advocates iterative improvement and a bias to implement findings.

This article was contributed by our expertManoj K Jha

Frequently Asked Questions Answered by Manoj K Jha

1. How can industrial companies leverage big data to optimize their supply chain management and reduce costs?

Overall, Big data has a transformative impact on Supply Chain Management by providing organizations with the ability to analyze vast and diverse datasets to gain valuable insights.

The stages of Big Data in Supply Chain Management include:

• Planning
• Provisioning
• Performance
• Delivery