The operative management of jobs in semiconductor fabrication plants (FABs) is highly challenging due to the complexity and scale of their processes. Inefficiencies in a FAB can disrupt the entire supply chain, increase production costs, and cause financial losses for downstream industries. This paper focuses on the Process Capacity Planning problem by proposing a novel approach that integrates with existing practices at ST. The method combines a Mixed Integer Linear Programming Model (MILP) with the FAB's Digital Twin (DT), enhancing the robustness and adaptability of the MILP-generated solution. Numerical validation is conducted on instances derived from the industrial case.
A mathematical modeling approach for job allocation at STMicroelectronics
EL ACHKAR Elias;FRIGERIO Nicla;MATTA Andrea
2025-01-01
Abstract
The operative management of jobs in semiconductor fabrication plants (FABs) is highly challenging due to the complexity and scale of their processes. Inefficiencies in a FAB can disrupt the entire supply chain, increase production costs, and cause financial losses for downstream industries. This paper focuses on the Process Capacity Planning problem by proposing a novel approach that integrates with existing practices at ST. The method combines a Mixed Integer Linear Programming Model (MILP) with the FAB's Digital Twin (DT), enhancing the robustness and adaptability of the MILP-generated solution. Numerical validation is conducted on instances derived from the industrial case.| File | Dimensione | Formato | |
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