@inproceedings{cea967d73322479b9d190459f926524d,
title = "Pulsating Assembly Production Personnel Scheduling Technology Based on Improved Genetic Algorithm",
abstract = "In view of the current production mode of the pulsating assembly production line, it faces problems such as high requirements for human resource allocation and difficulties in the rational distribution of personnel, Under the premise of meeting the production cycle. According to the flexibility characteristics of employees with different proficiency, a mathematical model of personnel scheduling under flexible characteristics under pulsating assembly is established on this basis. With the goal of minimizing the maximum completion time, the initial solution of the model is obtained by heuristic rules, and then the optimal solution of the model is performed by improving the legacy algorithm.",
keywords = "Pulsating assembly, Scheduling optimization, Staff scheduling",
author = "Shuangyue Chen and Niansong Zhang and Aimin Wang",
note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; 19th IEEE International Conference on Mechatronics and Automation, ICMA 2022 ; Conference date: 07-08-2022 Through 10-08-2022",
year = "2022",
doi = "10.1109/ICMA54519.2022.9856253",
language = "English",
series = "2022 IEEE International Conference on Mechatronics and Automation, ICMA 2022",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "1346--1351",
booktitle = "2022 IEEE International Conference on Mechatronics and Automation, ICMA 2022",
address = "United States",
}