Demand analysis of intelligent manufacturing talents based on recruitment data Mining: A case study of enterprises in Fujian Province in China

Intelligent manufacturing is the direction of transformation and upgrading in the manufacturing industry, reflecting the level of manufacturing. This article uses three third-party recruitment platforms, Zhaopin, 51Job, and Boss Zhipin as information sources, and searches for keywords such as “intelligent manufacturing” and “intelligent production.” The region is limited to Fujian Province, and recruitment data is collected using a Houyi data collector to crawl 363 valid recruitment information from September 2022 to September 2023. Based on the data collected above, analyze the demand and influencing factors for intelligent manufacturing talents in enterprises in Fujian Province. How to match the talents needed for the continuous development and growth of the intelligent manufacturing industry in Fujian Province is an urgent problem that needs to be solved. Based on the above analysis, countermeasures and suggestions are proposed from four levels: individuals, universities, enterprises, and society: Students continuously enrich their theoretical knowledge system, actively form teams with classmates, and actively participate in enterprise internships. Employed employees in intelligent manufacturing positions in enterprises actively participate in skill training organized by the company and apply cutting-edge technology to their work. Universities should fully communicate with industry enterprises, optimize the setting of professional disciplines and training programs, increase opportunities for students to practice in enterprises, guide students to obtain professional qualifications in intelligent manufacturing, participate in intelligent manufacturing competitions, and strengthen the construction of a dual teacher team. Enterprises should fully communicate with universities and establish a training mechanism that integrates industry and education. Rely on industry associations, organize employees to participate in intelligent manufacturing skills training, set up an intelligent manufacturing Internet sharing platform, and do a good job in technical personnel service. Society should vigorously promote the development prospects and potential of intelligent manufacturing, and guide job seekers to choose the field of intelligent manufacturing for development.