基于多元动因驱动的中药制药车间动态调度建模与优化

打开文本图片集

中图分类号：TH181

DOI：10.3969/j.issn.1004-132X.2025.06.012 开放科学（资源服务）标识码（OSID）：

Modelling and Optimisation of Dynamic Scheduling in Chinese Materia Medica Pharmaceuticals Workshops Based on Multiple Motivation Drivers

ZHAO Peirui1DENG Chao1* ZHU BolYAN Wenbin1LIANG Min² CHEN Min² 1.School of Mechanical and Electronic Engineering，Kunming University of Science and Technology， Kunming， 2.Yunnan Baiyao Group Co.，Ltd.，Kunming，

Abstract： A dynamic scheduling problem of Chinese materia medica pharmaceutical workshop driven by multiple dynamic factors（DSP-CMMPW-MDF） model was established，the multiple dynamic factors such as raw material shortages，emergency order insertions，and machine breakdowns. An improved artificial bee colony with Q-learning（IABC-QL） algorithm was proposed to solve the DSPCMMPW-MDF with the optimization objective of minimizing makespan. In the IABC-QL algorithm， an opposition-based learning strategy was proposed to generate the initial population，ensuring high quality and diversity of the population individuals.Five local search operations were designed to enhance the deep exploration capability of the algorithm. Thus the proposed model and algorithm were applied to a Chinese materia medica pharmaceutical granule production workshop. The results show that the proposed model may effectively improve the flexibility and adaptability of the production systems in the face of uncertainties. Additionally，a comparison with existing algorithms validates the effectiveness of the proposed algorithm.

Key words： data-driven; Chinese materia medica pharmaceutical; workshop scheduling；dynamic scheduling；artificial bee colony algorithm

0 引言

中医药产品具有多品种、多规格、多批量的特点，一般按照市场的需求进行拉式生产。（剩余16810字）