Analysis of Intelligent Replacement Strategies for Manufacturing Enterprise Jobs Based on Complex Networks

Abstract

Responding to changes in job skill levels after the introduction of intelligent technology in manufacturing companies, starting from the perspective of complex network evolution, this paper first establishes the job division matrix of manufacturing enterprises, then analyzes the flow paths between different jobs by organizing and analyzing the network recruitment information of the enterprises, then establishes the job flow network model of manufacturing enterprises, and on the basis of this network model, it considers the changes in the job skills brought about by the introduction of intelligent technology in the enterprises, finally, taking an equipment manufacturing enterprise as an example, we analyze and compare the impact of adopting different job intelligent substitution strategies on the enterprise's job skills. The study found that the strategy of choosing to start the intelligent substitution of jobs from the production department can improve the overall job skill level of the enterprise, while the strategy of choosing to start the intelligent substitution of jobs from the sales department will reduce the overall job skill level of the enterprise, and choosing to start the intelligent substitution of jobs from the other departments does not have a significant effect on the overall job skill level of the enterprise.