Transforming sugar manufacturing with the power of AI

Sugar manufacturers are embracing digital transformation. Many have started this journey by increasing the data collected at sugar factories during sugar production. However, data do not generate value independently, and sugar manufacturers seek to apply AI to the data to improve operational decisions.

This AI-based approach improves the mill’s ability to optimize operations against changing conditions and individual operator performance. It enables near real-time process optimization by bringing together disparate data sources and applying advanced optimization algorithms. With AI-enhanced decision-making, each operator performs like an expert operator and helps maximize mill profitability with higher cane throughput, improved yields, and lower energy costs.

In this paper we consider the optimization challenges in a sugar mill and how AI can address those challenges.