Method for constructing work ability model, parameter calculation method thereof, and labor force evaluation and prediction device based on the model

Abstract

A method and apparatus for predicting a high degree of accuracy, The invention relates to a method for constructing a work ability model running in a computer environment with short calculation time and strong scalability, the method for calculating the work ability characteristic parameters, and a labor force evaluation and prediction device based on the model and the characteristic parameters, which are used for more effectively analyzing the work efficiency of employees, distributing work contents and performance evaluation and prediction. By constructing the work ability model and introducing the characteristic parameters of work ability, this paper reveals the internal relationship among employees, activities and service time. The final value of the characteristic parameters of the work ability is calculated, and the labor force evaluation is carried out accordingly, including the work performance prediction, the work ability comparison and the employee-Activity Match Evaluation.

Description

technical field [0001] The present invention relates to the field of computers, in particular to a construction method of a work ability model, a parameter calculation method thereof, and a labor force evaluation and prediction device based on the model. Background technique [0002] Workforce analytics is a data-driven statistical learning approach that applies statistical models and machine learning algorithms to employee-related data logs, thereby enabling organizations to optimize their talent pool and transform human resource management. [0003] Like servers in large computer systems, employees are the basic operating unit of modern businesses and organizations. The performance of a computer system is often measured based on the type of workload using a set of well-known performance metrics such as throughput and latency. Unlike computer systems, however, workforce analytics requires predicting employee performance based on the activities and tasks they perform. It is...

AI Technical Summary

Problems solved by technology

[0011] Using employee activity logs to predict when employees complete activities, compare work capabilities among employees, and evaluate employee activity allocation efficiency are difficult problems in workforce analytics, and none of the prior art methods can be extracted from employee work log data. The working capabilities possessed by employees, and the working capabilities required for specific activities cannot be extracted, so that the service time for completing tasks cannot be accurately predicted

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