自适应参数贪婪算法在多订单实时调度中的研究与应用OA

Aiming at the real-time scheduling optimization problem of multiple orders in a traditional Chinese medicine packaging enterprise,an adaptive parameter greedy algorithm is designed to minimize the order processing time.Based on the grid selection of equipment weight and workpiece weight parameters,the algorithm preferentially selects equipment and workpieces with the longest remaining net processing time or the maximum remaining processing times.The normalization method is adopted to unify dimensions for weighted calculation,so as to realize optimized production scheduling.Verified by practical enterprise application,the algorithm can achieve rapid real-time scheduling of dynamic mixed orders and effectively solve the dynamic optimal production scheduling problems of the enterprise.