Human resource scheduling technology based on improved genetic algorithm for pulse assembly beat balancing

Yaqi Cao; Aimin Wang; Tao Ding

doi:10.1117/12.2667281

28 March 2023 Human resource scheduling technology based on improved genetic algorithm for pulse assembly beat balancing

Yaqi Cao, Aimin Wang, Tao Ding

Author Affiliations +

Proceedings Volume 12566, Fifth International Conference on Computer Information Science and Artificial Intelligence (CISAI 2022); 125663N (2023) https://doi.org/10.1117/12.2667281
Event: Fifth International Conference on Computer Information Science and Artificial Intelligence (CISAI 2022), 2022, Chongqing, China

Abstract

In this paper, the balance problem of pulsating assembly line under mixed production mode is analyzed, which is decomposed into the balance problem within and between stations. On the basis of the balance between stations, the balance problem within stations is studied. Considering the versatility of personnel and the different characteristics of personnel's mastery of skills, the mathematical model is built with the goal of minimizing the total idle time of the assembly line. In view of the constructed mathematical model, an improved genetic algorithm based on two-bit coding is proposed to solve the problem. Finally, an example is given to verify the effectiveness of the algorithm.

Citation Download Citation

Yaqi Cao, Aimin Wang, and Tao Ding "Human resource scheduling technology based on improved genetic algorithm for pulse assembly beat balancing", Proc. SPIE 12566, Fifth International Conference on Computer Information Science and Artificial Intelligence (CISAI 2022), 125663N (28 March 2023); https://doi.org/10.1117/12.2667281

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