Open AccessResearch on the Optimization of Staff Allocation under the Strategy of “Strong Leads the Weak”
Author(s) -
Chanjuan Chen,
Hanxu Li,
Jianfang Sun,
Yuanyuan Zhang
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1757/1/012020
Subject(s) - simulated annealing , workstation , genetic algorithm , operator (biology) , computer science , mathematical optimization , layer (electronics) , matrix (chemical analysis) , mathematics , algorithm , materials science , nanotechnology , biochemistry , chemistry , repressor , transcription factor , composite material , gene , operating system
Based on the operator’s competency index matrix, a two-layer mathematical model with the goal of maximizing the total competency of employees’ workstations is designed. The upper layer uses the Hungarian Algorithm to achieve the configuration of “strong employees”, and the lower layer uses the Hybrid Genetic Simulated Annealing Algorithm to achieve the configuration of “weak employees”. The results show that: compared with the traditional undifferentiated overall configuration. The double-level configuration based on the double-level mathematical model increases the employee competency difference ratio by 5.71%, which effectively embodies the idea of “strong leads the weak”.