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Case Study

Developed a production scheduling software for the client to reduce operational cost

Client Background

The client is the leading producer of polysilicon which manufactures semiconductor chemicals for the semiconductor and solar industries.

Client Need

High electricity costs threatened the client’s energy-intensive production. They sought software to optimize schedules, minimizing energy use during peak hours while still meeting production targets.

Our Solution

We developed a production scheduling software for the client that optimized machine operations based on:

  • The software factors in both production targets and electricity price fluctuations to create cost-effective schedules.
  • We incorporated 20-25 manufacturing constraints and formulated mathematical equations using GAMS software to minimize overall production costs.

The model seamlessly integrates with the CPLEX solver to identify optimal machine schedules that meet production goals while minimizing energy consumption.

Key Benefits

We empowered plant engineers with a user-friendly scheduling tool that transformed their operations. This innovative solution generated cost-effective production schedules, leading to optimized resource allocation and improved inventory management. Insights gleaned from the scheduling plans further streamlined operations, minimizing potential stockouts and delays. The impact was significant, with the client experiencing annual cost savings exceeding three million dollars.

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