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CN-122022347-A - Method, device, equipment, medium and program for recommending engineering combination scheme

CN122022347ACN 122022347 ACN122022347 ACN 122022347ACN-122022347-A

Abstract

The application relates to the technical field of computers, in particular to a project combination scheme recommendation method, device, equipment, medium and program, wherein the method comprises the steps of obtaining at least one type of internal data and external data, generating enterprise portrait vectors representing enterprise attributes according to the internal data, generating market situation vectors representing labor force market environments according to the external data, calculating comprehensive benefit evaluation values of at least one target post in a plurality of different project forms according to the enterprise portrait vectors and the market situation vectors, constructing a multi-target optimization model by taking an enterprise project structure as an optimization object, inputting the multi-target optimization model according to the comprehensive benefit evaluation values of the different project forms of each post, and outputting at least one recommended project combination scheme by the multi-target optimization model. Therefore, the problems that in the related technology, the human resource planning only depends on internal historical data and has single model, so that the labor recommendation result is unilateral, the dynamic service requirement cannot be responded and the like are solved.

Inventors

  • XU HAO

Assignees

  • 上海小砖块网络科技有限公司

Dates

Publication Date
20260512
Application Date
20260203

Claims (10)

  1. 1. The utility model provides a project combination recommendation method which is characterized by comprising the following steps: acquiring at least one type of internal data and external data, wherein the internal data is from an enterprise internal labor data source, and the external data is from a market labor data source; generating enterprise portrait vectors representing enterprise attributes according to the internal data, and generating market situation vectors representing labor market environments according to the external data; calculating comprehensive benefit evaluation values of at least one target post in a plurality of different labor forms according to the enterprise portrait vector and the market situation vector; And constructing a multi-objective optimization model by taking the enterprise engineering structure as an optimization object, wherein the optimization object is at least one of minimizing total cost, minimizing total risk and maximizing total agility, the multi-objective optimization model is input according to comprehensive benefit evaluation values of different engineering forms of each post, and the multi-objective optimization model outputs at least one recommended engineering combination scheme.
  2. 2. The project combination proposal recommendation method according to claim 1, wherein the comprehensive benefit evaluation value comprises a comprehensive cost value, a risk evaluation value and an agility value, wherein the calculating of the comprehensive benefit evaluation value of at least one target post in a plurality of different project forms according to the enterprise portrait vector and the market situation vector comprises: Acquiring dominant cost of the market situation vector and operation efficiency characteristics of the enterprise portrait vector, wherein the dominant cost comprises salary or service quotation data; calculating corresponding hidden cost according to the operation efficiency characteristics of the enterprise portrait vector; and calculating the comprehensive cost value of the target post in a plurality of different labor forms according to the dominant cost and the recessive cost.
  3. 3. The project organization scheme recommendation method according to claim 2, wherein calculating the comprehensive benefit evaluation value of at least one target post in a plurality of different project forms according to the enterprise portrait vector and the market situation vector, further comprises: obtaining target risk factors of the enterprise portrait vector and the market situation vector, wherein the target risk factors comprise off-job rates, project complexity and data security risks; calculating corresponding risk weights according to the target risk factors of the enterprise portrait vector and the market situation vector; and calculating the agility value of the target post in a plurality of different labor forms according to the target risk factors and the corresponding risk weights.
  4. 4. The project organization proposal recommendation method according to claim 3, wherein the project forms include at least one of full-time, part-time, outsourcing and zero-time, and calculating the comprehensive benefit evaluation value of at least one target post in a plurality of different project forms according to the enterprise portrait vector and the market situation vector, further comprising: Acquiring recruitment periods and average on-duty time in a plurality of different recruitment forms; and calculating the agility value of the target post in a plurality of different recruitment forms according to the recruitment period and the average on-duty time.
  5. 5. The method for recommending a work combination according to claim 1, wherein the processing method of the multi-objective optimization model comprises: coding the labor form selection and the population configuration of each post in the target post set into population individuals, and carrying out iterative evolution on the population based on a multi-target optimization algorithm; screening according to the non-dominant ranking and crowding distance of the individuals in each generation of population, and reserving the balanced optimal individuals among optimization targets; And generating a pareto optimal solution set according to the balance optimal individuals in each generation of population, wherein each solution corresponds to a global engineering structure scheme for obtaining different balance among a plurality of optimization targets.
  6. 6. The labor combining scheme recommendation method according to claim 1, further comprising: Receiving adjustment feedback of a user on the recommended recruitment combination scheme, and/or collecting actual operation data after the recommended recruitment combination scheme is executed; And optimizing a multi-objective optimization model according to the adjustment feedback and/or the actual operation data.
  7. 7. A labor combining scheme recommendation device, characterized by comprising: the system comprises an acquisition module, a data processing module and a data processing module, wherein the acquisition module is used for acquiring at least one type of internal data and external data, wherein the internal data is from an enterprise internal labor data source, and the external data is from a market labor data source; the generation module is used for generating enterprise portrait vectors representing enterprise attributes according to the internal data and generating market situation vectors representing labor market environments according to the external data; The calculation module is used for calculating the comprehensive benefit evaluation value of at least one target post in a plurality of different labor forms according to the enterprise portrait vector and the market situation vector; The processing module is used for constructing a multi-objective optimization model by taking the enterprise labor structure as an optimization object, wherein the optimization object is at least one of minimizing total cost, minimizing total risk and maximizing total agility, the multi-objective optimization model is input according to comprehensive benefit evaluation values of different labor forms of each post, and the multi-objective optimization model outputs at least one recommended labor combination scheme.
  8. 8. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, the processor executing the program to implement the work combination recommendation method of any one of claims 1-6.
  9. 9. A computer readable storage medium having stored thereon a computer program or instructions, which when executed by a processor, is for implementing a method of recommended work combination solutions according to any of claims 1-6.
  10. 10. A computer program product comprising a computer program or instructions which, when executed, implements a method of recommended work combination according to any one of claims 1 to 6.

Description

Method, device, equipment, medium and program for recommending engineering combination scheme Technical Field The application relates to the technical field of computers, in particular to a method, a device, equipment, a medium and a program for recommending a project using a combined scheme. Background Along with the rapid development of digital economy and the diversification of enterprise employment patterns, more and more enterprises begin to adopt mixed employment structures including full-time staff, part-time staff, outsourcing service, zero staff and expert consultation so as to improve organization agility, control labor cost and cope with business fluctuation. However, current enterprises generally face the core challenges of decision-making subjectivity, solution statics, and solution cracking when formulating and optimizing such complex labor structures. In the related art, the existing mainstream human resource management system or human resource information system mainly focuses on the transactional management of the full-time staff in the job, such as the maintenance of organization architecture, attendance checking, payroll issuing, recruitment process automation, etc. However, the analysis models are usually simply extrapolated or budget allocated based on enterprise internal historical data, and have obvious limitations that on one hand, the models rarely incorporate fine cost and risk quantification of flexible labor forms (such as part-time, outsourcing and zero-time engineering), and on the other hand, the models lack real-time perceptibility of external labor market dynamics (such as regional talent supply and demand change, salary level fluctuation and regulation of policy regulations), so that the output planning schemes are static and lagging in nature, and prospective decisions of enterprises in a rapid-change environment are difficult to support. Disclosure of Invention The application provides a method, a device, equipment, a medium and a program for recommending a recruitment combination scheme, which are used for solving the problems that the recruitment recommendation result is one-sided and cannot respond to dynamic service demands and the like because the manual resource planning in the related technology only depends on internal historical data and has a single model. The embodiment of the first aspect of the application provides a project combination scheme recommendation method which comprises the steps of obtaining at least one type of internal data and external data, wherein the internal data are from an internal project data source of an enterprise and the external data are from a market project data source, generating enterprise portrait vectors representing enterprise attributes according to the internal data, generating market situation vectors representing labor force market environments according to the external data, calculating comprehensive benefit evaluation values of at least one target post in a plurality of different project forms according to the enterprise portrait vectors and the market situation vectors, and constructing a multi-target optimization model by taking an enterprise project structure as an optimization object, wherein the optimization target is at least one of minimizing total cost, minimizing total risk and maximizing total agility, and the multi-target optimization model is input according to the comprehensive benefit evaluation values of different project forms of each project and outputs at least one recommended project combination scheme. The comprehensive benefit evaluation value comprises a comprehensive cost value, a risk evaluation value and an agility value, wherein the calculation of the comprehensive benefit evaluation value under a plurality of different recruitment forms comprises the steps of obtaining dominant cost of a market situation vector and operation efficiency characteristics of an enterprise portrait vector, wherein the dominant cost comprises salary or service quotation data, calculating corresponding implicit cost according to the operation efficiency characteristics of the enterprise portrait vector, and calculating the comprehensive cost value under the plurality of different recruitment forms according to the dominant cost and the implicit cost. Optionally, the calculating the comprehensive benefit evaluation value of the target post in a plurality of different labor forms further comprises obtaining target risk factors of the enterprise portrait vector and the market situation vector, wherein the target risk factors comprise a job departure rate, project complexity and data security risk, calculating corresponding risk weights according to the target risk factors of the enterprise portrait vector and the market situation vector, and calculating agility values of the target post in a plurality of different labor forms according to the target risk factors and the corresponding risk weights. Optionally, the recrui