USA
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India
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Client Background
Client Need
The client’s current method of scheduling reactor operations, using manual spreadsheets, was a bottleneck in their workflow. This time-consuming process resulted in significant energy waste due to inefficient scheduling. Recognizing this inefficiency, the client sought to implement advanced operations research techniques to optimize reactor schedules.
Our Solution
We addressed the client’s scheduling challenges by developing a robust mathematical scheduling model. This model was built using Mixed Integer Linear Programming (MILP), incorporating precedence-based continuous-time formulation techniques. By factoring in resource availability, timing constraints, and plant limitations, the model generated optimal monthly schedules, ensuring efficient production and reduced energy consumption.
Key Benefits
- Reduced Energy Consumption: The new model optimized reactor operations, leading to a substantial reduction in energy waste during production.
- Cost Savings: These efficiency gains translated to cost savings of close to 3 million dollars annually.
