抗生素发酵过程优化调度模型的研究

Research on Optimal Scheduling Model of Antibiotics Fermentation Process

对抗生素多罐并行发酵过程进行了分析,将任务、设备和事件之间的分配关系表达为两类0-1变量,建立了一个基于连续时间的抗生素多罐并行发酵过程优化调度的M ILP(混合整数线性规划)模型。该模型整数变量少,求解速度快,并给出了最短生产时间和罐批最优生产序列。最后以头孢菌素发酵过程为例证明了此调度模型的可行性和有效性。

The antibiotics multi-reactor fermentation process with parallel lines is analyzed. The allocation of tasks, units and events is described by two sets of binary variables. Based on continuous time representation, a mixed integer linear programming （MILP） model for antibiotics multi-reactor fermentation process with parallel lines is built. The scheduling model has few binary variables and can be solved quickly. The optimal solution also gives the shortest production time and the optimal sequence of batches. The computational example of cephalosporin fermentation process demonstrates the feasibility and validity of the scheduling model.