
Carbon black additive supplier to the global rubber, tyre manufacturing and chemical process industries Birla Carbon has implemented Blue Yonder’s sales and operations planning (S&OP) platform.
The cloud-native software-as-a-service offering is being deployed for planning across Birla Carbon operations in 12 countries and 16 manufacturing plants and supporting processes standardisation.
We strive for operational excellence, which encompasses safety, environmental compliance, and sustainability. The implementation of Blue Yonder’s S&OP solution reinforces our commitment to efficiently operate our plants
John Loudermilk, Birla Carbon president and CEO, says: “The successful implementation of Blue Yonder’s S&OP solution marks a significant milestone for Birla Carbon. It ensures that we have a standard process that is effective everywhere we operate, delivering on customers’ needs and allowing us to make decisions more effectively and efficiently. Furthermore, it promotes a best-in-class world standard in terms of operations planning.
“We strive for operational excellence, which encompasses safety, environmental compliance, and sustainability. The implementation of Blue Yonder’s S&OP solution reinforces our commitment to efficiently operate our plants and align our plans with the needs of our customers.”
Guru Ananthanarayanan, Blue Yonder’s Country Head for India, adds: “Birla Carbon needed the capabilities offered by the Blue Yonder solution to account for the effect of numerous variables on the supply chain in real-time, providing the company with an agile supply chain to predict disruptions and proactively pivot its response.
“With Blue Yonder, Birla Carbon is positioned to tackle any challenge while continuing to grow and meet customer demand.”
Ernst & Young (EY), India, which was engaged as the transformation partner for the project, bringing its consulting capabilities and working with stakeholders across the globe to support its implementation.
Birla Carbon needed the capabilities offered by the Blue Yonder solution to account for the effect of numerous variables on the supply chain in real-time