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- W2093003357 abstract "Planners of batch chemical processes face a wide range of challenges when scheduling production to ensure adequate product to fill promised orders. Today, solving these scheduling problems using rigorous optimization methods is feasible in the standard business time frame, ie, fast enough that the user perceives that it makes their job easier. This case-study will present multi-product batch optimal scheduling using Resource-Task Networks (RTN). Although this deterministic approach is successful, the stochastic nature of the process inevitably leads to rescheduling. The structure of the RTN allows for nearly one-to-one mapping into a discrete-event simulation (DES). The DES allows us to refine the grid size and input parameters for the optimization. The DES also allows for quantitative comparisons between by-hand schedules and the proposed optimal schedules from the RTN. This combined approach of discrete-event simulation and deterministic optimization has provided rapid improvements in the scheduling technology." @default.
- W2093003357 created "2016-06-24" @default.
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- W2093003357 date "2004-12-05" @default.
- W2093003357 modified "2023-09-23" @default.
- W2093003357 title "Combining simulation with RTN optimization for multi-product chemical processes" @default.
- W2093003357 doi "https://doi.org/10.5555/1161734.1162162" @default.
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