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Enhancing Recruitment Efficiency: Leveraging Fuzzy Logic Optimization for Effective Skill Management in Human Resources

عنوان مقاله: Enhancing Recruitment Efficiency: Leveraging Fuzzy Logic Optimization for Effective Skill Management in Human Resources
شناسه ملی مقاله: JR_FOMJ-4-1_002
منتشر شده در در سال 1402
مشخصات نویسندگان مقاله:

Farideh Majidi - Department of computer engineering, Islamic Azad University (south branch), Tehran, Tehran
Maryam Khademi - Department of computer engineering, Islamic Azad University (south branch), Tehran, Tehran

خلاصه مقاله:
The application of fuzzy linear programming and optimization techniques has a rich history in various domains. In recent years, the rise in employee terminations within large companies has underscored the significance of employee performance and its impact on organizational progress. To address this issue, it becomes crucial to determine the appropriate number of employees required to effectively execute company projects, considering employee performance and organizational needs. Additionally, it is essential to identify an optimal employee count as a benchmark prior to hiring. This optimal value can be achieved through the utilization of optimization methodologies, such as fuzzy linear programming. This research paper presents a solution to the employee hiring problem in a factory by utilizing the fuzzy linear programming method. The findings reveal that increasing the number of hires does not necessarily correlate with enhanced performance. The findings of this paper enable organizations to make informed decisions regarding employee recruitment and enhance overall operational efficiency.

کلمات کلیدی:
Optimization, fuzzy logic, Fuzzy linear programming, simplex method, Human Resources

صفحه اختصاصی مقاله و دریافت فایل کامل: https://civilica.com/doc/1738965/