Big data algorithm-based method and system for evaluating labor resource allocation of workers

A technology of resource allocation and big data, applied in the field of human resources management, can solve the problems of construction progress and quality impact, unfavorable orderly flow of construction workers, etc., to improve professional skills, reduce the probability of workers' wages, and improve competitiveness.

Inactive Publication Date: 2018-01-19
四川民工加网络科技有限公司 +1
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  • Abstract
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  • Claims
  • Application Information

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Problems solved by technology

Among them, workers' attendance and ability evaluation are generally evaluated by their on-site foreman. However, because human relations have a serious impact on worker evaluation, the ability rating obtained in this way has a lot of water, and construction companies cannot evaluate based on such ability. The management of workers and the arrangement of workers to corresponding positions will eventually affect the construction progress and quality, and it is also not conducive to the orderly flow of construction workers

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  • Big data algorithm-based method and system for evaluating labor resource allocation of workers

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Embodiment 1

[0034] Such as figure 1 As shown, the worker's evaluation labor resource allocation method based on the big data algorithm of the present invention comprises the following steps:

[0035] A: Collect the supervisor’s quality evaluation data on the daily workload of several construction teams, and collect the attendance data of each worker in each construction team, where the quality evaluation data includes a quality evaluation grade for a job type;

[0036] B: Establish a statistical model for workload quality evaluation and worker attendance data;

[0037] C: Sort the attendance rate of the workers corresponding to the quality evaluation level of each type of work in the statistical model, and the order of the attendance rate is the order of the ability level of the workers corresponding to the type of work.

[0038] In step A, the daily completed workload includes at least two workload components, each construction team includes at least two construction teams, each constru...

Embodiment 2

[0044] Such as figure 1 As shown, the worker evaluation labor resource allocation system based on the big data algorithm of the present invention, on the basis of Embodiment 1, also includes a labor service company manpower management terminal connected to the central platform and several worker terminals, wherein:

[0045] Worker terminal: Send personal identity information and work experience to the central platform, receive job recruitment information sent by the central platform, send job application information to the central platform; receive recruitment selection information and labor contract information sent by the central platform, and send selection confirmation information and contract data to the central platform;

[0046] Human resource management terminal of labor service companies: Send job recruitment information to the central platform, receive personal identity information, work experience, and worker ability level sequence data corresponding to each job typ...

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Abstract

The invention discloses a big data algorithm-based method and system for evaluating the labor resource allocation of workers. The method comprises the following steps of A, collecting and monitoring the quality evaluation data of a plurality of construction teams in completing the work amount every day, and collecting the attendance data of each worker in each construction team, wherein the quality evaluation data comprise type-of-work quality evaluation grades; B, establishing a work capacity quality evaluation and worker attendance data statistical model; C, sequencing the attendance rates of workers corresponding to each type-of-work quality evaluation grade in the statistical model, and the attendance rate sequence of works is a worker capacity grade sequence corresponding to differentwork types. According to the invention, the labor skill levels of workers can be evaluated and the fairness of the evaluation result can be improved. An enterprise can be helped to find the corresponding working mode suitable for the talent.

Description

technical field [0001] The invention relates to the technical field of human resource management, in particular to a method and system for worker evaluation and labor resource allocation based on big data algorithms. Background technique [0002] Construction enterprises are the core force in my country's urban construction and public facilities construction, and play an important role in my country's construction work. With the rise of construction requirements, in order to better promote the development of enterprises, it is extremely important to do a good job in talent recruitment. [0003] Construction companies usually do not keep workers, but they have a large demand for talents, especially excellent technical talents and operators of various special types of work. Therefore, the existing construction enterprise recruitment and job hunting is such a chain: construction general contracting company-labor subcontracting company-big contractor (big team)-small contractor...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/06G06Q10/10
Inventor 王成荣袁公民
Owner 四川民工加网络科技有限公司
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