基于多元?jiǎng)右蝌?qū)動(dòng)的中藥制藥車(chē)間動(dòng)態(tài)調(diào)度建模與優(yōu)化
打開(kāi)文本圖片集
中圖分類(lèi)號(hào)：TH181
DOI：10.3969/j.issn.1004-132X.2025.06.012 開(kāi)放科學(xué)（資源服務(wù)）標(biāo)識(shí)碼（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
中醫(yī)藥產(chǎn)品具有多品種、多規(guī)格、多批量的特點(diǎn)，一般按照市場(chǎng)的需求進(jìn)行拉式生產(chǎn)。（剩余16810字）