CN117035283A - Human resource information acquisition method and system for bidder configuration - Google Patents
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Abstract
The application discloses a human resource information acquisition method and a system for bidder configuration, wherein the human resource information acquisition method comprises the following steps: step S1: inputting the staffing requirements of bidders; step S2: collecting information of bidding personnel of enterprises; step S3: establishing a basic representation of a bidder; step S4: a bidder configuration scheme is generated. The method can help enterprises to quickly select staff with specialized skills, standardized management and skilled business knowledge from a plurality of staff in the project bidding stage, and quickly and accurately complete project staff configuration, so that the enterprises smoothly complete the bidding work of the project.
Description
Technical Field
The application relates to the technical field of information management, in particular to a human resource information acquisition method and system for bidder configuration.
Background
Due to the characteristics of large scale, long period, multiple professions and the like of modern engineering projects, a large amount of personnel and organizations are needed to participate in the projects, and in order to ensure the performance quality of the engineering projects, in the bidding stage of the engineering projects, a constructor often brings specific requirements for project personnel equipment of the bidder.
The time interval from information release to material submission is short, so that people meeting the bidding requirement cannot be selected from the enterprise quickly, and quick and accurate bidding work is affected. How to accurately select personnel with specialized skills, standardized management and skilled business knowledge from a plurality of employees of an enterprise within a limited bidding preparation time period, and to construct a project implementation group meeting the requirements of a constructor are key links of the bidding stage of the enterprise.
In order to complete personnel configuration in the bidding stage, most enterprises currently apply for the relevant information through the enterprise human resource department and staff, and then compare and screen various information one by one, so that final personnel selection is determined.
The method has the defects of large manual workload, missed selection and frequent wrong selection.
Disclosure of Invention
The application provides a human resource information acquisition method and a human resource information acquisition system for bidder configuration, aiming at the technical problems.
The application provides a human resource information acquisition method and a system for bidder configuration, comprising the following steps:
step S1: acquiring personnel allocation requirements of bidders;
step S2: extracting a bidder information key field, inquiring the personnel key information required for bidding at the time from an enterprise human resource data warehouse, and constructing a bidder information base according to the information;
step S3: performing primary screening on data in a bidder information base to obtain candidate bidders, respectively calculating project performance evaluation points, related field scientific and technological achievement evaluation scores and intelligent matching degree analysis scores of the candidate bidders, and sequencing the candidate bidders to obtain a staff matching degree ranking list;
project performance assessment points are calculated as follows:
wherein S is p Is a project performance assessment score; s is(s) pdi Scoring the project tenninal, and giving different scores according to the project tenninal post; s is(s) psi Is a project scale score, which relates to the size of a project that an individual hosts or participates in, giving different scores according to the size of the project; r is (r) i Is an item correlation coefficient representing the degree of business correlation between the item participated by the individual and the item to be bid;
the related art scientific and technological achievement evaluation integral is calculated according to the following formula:
wherein S is a Is a scientific and technological achievement performance evaluation point; s is(s) ai Is a scientific and technological achievement category score; o (o) i Is the score of the contribution degree of the scientific and technological achievements;
the intelligent matching degree analysis score is calculated according to the following formula:
S fd ＝S p *w p +S a *w a +S o *w o
wherein S is fd Is a matching degree integral; s is S p Is a project performance assessment score; s is S a Is the scientific and technological achievement evaluation integration in the related field; w (w) p 、w a 、w o The method comprises the steps of project performance evaluation, related field scientific and technological achievement performance evaluation and other factor evaluation corresponding weights;
step S4: and generating a bidder configuration scheme according to the personnel matching degree ranking list.
Preferably, project tenure score s psi When the project scale scoring accounting is carried out, the project scale is evaluated according to the project contract price;
item relevance coefficient r i And when the project correlation coefficient is assigned, evaluating according to the coincidence degree of the professional keyword responsible for the project and the professional keyword required by the project to be bid in the personal history participation project, wherein the higher the coincidence degree of the professional keyword and the professional keyword is, the higher the correlation degree is, the larger the corresponding correlation coefficient is.
Preferably, a scientific and technological achievement class score s ai The scoring of the scientific and technological achievement category is given different scores according to the grade of the scientific and technological achievement category, the acceptance of the industry, the difficulty and the like;
scientific and technological achievement contribution degree scoring o i The contribution degree scores of the scientific achievements are evaluated according to the author order of individuals in the scientific achievements, and the first three authors are respectively given different scores.
Preferably, the step S3 further includes: other factor evaluations are performed on the candidate bidders.
Preferably, the matching degree is integrated S fd The higher the matching degree integral, the higher the matching degree, and the higher the comprehensive ranking;
project performance weight w p Performance weight w of scientific and technological achievements a Weights w of other factors o The three capability dimension weights can be assigned according to the characteristics of the item to be bid.
Preferably, the primary screening of bidders in step S3 includes the steps of: screening out the personnel meeting various index conditions from a bidder information base according to project personnel allocation requirements issued by a constructor, and putting the personnel as candidate bidders into a bidder resource pool;
more preferably, step S1 obtains staffing requirements of bidders through related requirements of bidding documents of engineering construction parties; the staffing requirements of bidders include: personnel's qualification, job title level, profession, personnel's quota.
Preferably, step S4 comprises the steps of:
extracting corresponding numbers of people meeting the personnel allocation requirements of bidders according to the sequence from the personnel matching degree ranking list, and outputting a bidder allocation scheme;
the bidder configuration scheme includes: extracting various information of personnel;
more preferably, the step S2 includes the steps of:
step S21: extracting field information such as a practice qualification, a job title grade, a specialty and the like from the personnel allocation requirements of bidders by corresponding engineering constructors;
step S22: inquiring and extracting information from the enterprise human resource data warehouse in real time according to the bidder information key information field;
step S23: and aggregating query extraction information to construct a bidder information base.
In another aspect, the present application provides a system for acquiring human resource information configured by bidders, including:
the request acquisition module is used for acquiring personnel allocation requests of bidders;
the database construction module is used for extracting the key fields of the bidder information, inquiring the key information of the bidder required for the bidding from the enterprise human resource data warehouse, and constructing a bidder information base according to the information;
the evaluation module is used for obtaining candidate bidders after primarily screening data in the bidder information base, respectively calculating project performance evaluation points, related field scientific and technological achievement evaluation points and intelligent matching degree analysis scores of the candidate bidders, and sequencing the candidate bidders to obtain a personnel matching degree ranking list;
project performance assessment points are calculated as follows:
wherein S is p Is a project performance assessment score; s is(s) pdi Scoring the project tenninal, and giving different scores according to the project tenninal post; s is(s) psi Is a project scale score, which relates to the size of a project that an individual hosts or participates in, giving different scores according to the size of the project; r is (r) i Is an item correlation coefficient representing the degree of business correlation between the item participated by the individual and the item to be bid;
the related art scientific and technological achievement evaluation integral is calculated according to the following formula:
wherein S is a Is a scientific and technological achievement performance evaluation point; s is(s) ai Is a scientific and technological achievement category score; o (o) i Is the score of the contribution degree of the scientific and technological achievements;
the intelligent matching degree analysis score is calculated according to the following formula:
S fd ＝S p *w p +S a *w a +S o *w o
wherein S is fd Is a matching degree integral; s is S p Is a project performance assessment score; s is S a Is the scientific and technological achievement evaluation integration in the related field; w (w) p 、w a 、w o The method comprises the steps of project performance evaluation, related field scientific and technological achievement performance evaluation and other factor evaluation corresponding weights;
and the scheme output module is used for generating a bidder configuration scheme according to the personnel matching degree ranking list.
Preferably, project tenure score s psi When the project scale scoring accounting is carried out, the project scale is evaluated according to the project contract price;
item relevance coefficient r i Item relevanceAnd during coefficient assignment, evaluating according to the coincidence degree of the professional keywords responsible for the personal history participation project and the professional keywords required by the project to be bid, wherein the higher the coincidence degree of the professional keywords and the project to be bid is, the higher the correlation degree is considered, and the larger the corresponding correlation coefficient is.
Preferably, a scientific and technological achievement class score s ai The scoring of the scientific and technological achievement category is given different scores according to the grade of the scientific and technological achievement category, the acceptance of the industry, the difficulty and the like;
scientific and technological achievement contribution degree scoring o i The contribution degree scores of the scientific achievements are evaluated according to the author order of individuals in the scientific achievements, and the first three authors are respectively given different scores.
The application has the beneficial effects that:
1) According to the human resource information acquisition method and system for bidder configuration, the parameters capable of effectively guiding human resource information extraction are obtained by analyzing the commonly used bidding indexes, so that the bidder information meeting the requirements can be rapidly and accurately acquired from a large amount of human resource information according to bidding requirements, various capacities of qualified bidders of enterprises can be comprehensively and accurately comprehensively and effectively evaluated, the defect of manual evaluation is avoided, and the screening efficiency of the bidders of the enterprises is greatly improved.
2) The human resource information acquisition method and system for bidder configuration provided by the application can be used for rapidly carrying out sequencing analysis on the matching degree of the enterprise bidders, automatically referring to the requirements of a constructor, intelligently generating a personnel configuration scheme, greatly improving the efficiency and reliability of the enterprise bidder configuration, and providing firm guarantee for the enterprise bidder configuration.
Drawings
FIG. 1 is a schematic flow chart of an enterprise bidder outfitting method provided by the application;
FIG. 2 is a schematic diagram of an enterprise bidder outfit system architecture provided by the present application;
FIG. 3 is a schematic diagram of a flow chart for collecting information of corporate bidders provided by the present application;
FIG. 4 is a schematic diagram of a basic representation flow for building bidders in accordance with the present application;
FIG. 5 is a schematic diagram of a bidder multidimensional capacity assessment process provided by the present application.
Detailed Description
For the purpose of making the objects, technical solutions and advantages of the embodiments of the present application more apparent, the technical solutions of the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present application, and it is apparent that the described embodiments are some embodiments of the present application, but not all embodiments. The components of the embodiments of the present application generally described and illustrated in the figures herein may be arranged and designed in a wide variety of different configurations.
Thus, the following detailed description of the embodiments of the application, as presented in the figures, is not intended to limit the scope of the application, as claimed, but is merely representative of selected embodiments of the application. All other embodiments, based on the embodiments of the application, which are apparent to those of ordinary skill in the art without inventive faculty, are intended to be within the scope of the application.
The technical means which are not described in detail and are not used for solving the technical problems of the application are all arranged according to common general knowledge in the field, and various common general knowledge arrangement modes can be realized.
Referring to fig. 1 to 5, the process block diagram of the enterprise bidder allocation method provided by the application comprises the following steps:
step S1: acquiring personnel allocation requirements of bidders;
step S2: collecting information of bidding personnel of enterprises;
step S3: establishing a basic representation of a bidder;
and S4, generating a bidder configuration scheme.
Correspondingly, referring to fig. 2, an architecture diagram of the enterprise bidder allocation system provided by the application is shown, and the system module corresponds to the flow steps of the enterprise bidder allocation method provided by the application, and mainly comprises the following steps: the bidder is provided with a requirement input module, a bidder information inquiry processing module and a bidder configuration scheme intelligent generation module.
The specific requirements of the bidder personnel equipment in the step S1 are mainly set by a constructor in related files issued in the bidding process, the personnel equipment requirements include but are not limited to personnel practice qualification, job title grade, specialty and personnel quota indexes, and when the specific requirements are implemented, the bidder sequentially inputs the system through the bidder personnel equipment requirement input module according to the clauses.
In the system of the embodiment, the bidder equipment requirement can be input into a conventional web form through manual input, and a template is fixed for importing, such as an Excel template, a word template and the like. In the specific implementation, the method can be flexibly expanded or acquired through a crawler module in combination with actual requirements.
Further, after the requirement input system is formed, on one hand, a bidder personnel allocation scheme intelligent generation reference standard is formed and transmitted to a downstream bidder allocation scheme intelligent generation module for subsequent personnel screening, matching and analysis; on the other hand, the key fields of the bidder information are formed and transmitted to a downstream bidder information inquiry processing module, so that inquiry basis is provided for enterprise bidder information inquiry.
It should be noted that, in this embodiment, the flow of collecting the information of the bidders of the enterprise in step S2 is shown in fig. 3, and includes the following steps:
step S21: extracting key fields of bidder information;
step S22, inquiring key information of bidders;
step S23, establishing a bidder information base.
Further, in step S21, the key field of the bidder information, that is, the names of the regulatory fields, such as the practice qualification, the job title grade, and the professional field information, in the requirements of the corresponding engineering construction party on the bidder personnel allocation, is extracted by the bidder allocation requirement input module according to the received bidder allocation requirements, and is uniformly pushed to the bidder information query processing module.
Further, in the embodiment, the bidder key information in step S22 is derived from the enterprise human resource data warehouse, and the bidder key information fields obtained by the bidder information query processing module according to the previous steps are uniformly queried from the human resource data warehouse.
Further, the bidder information base in step S23 generally refers to a unified data set formed by all the critical information about bidders queried in the previous step, which may be a real data table, a standard view, a materialized view, or a data set expressed in other manners.
In the specific implementation, the practical situation can be combined, and a mode with convenience, maintainability and the like is comprehensively considered, so that the method is convenient to select. As shown in fig. 3, a schematic diagram of a visual enterprise bidder information base provided in this embodiment intuitively shows basic information of all persons meeting the standard in a list manner, and covers various assessment indexes such as project performance, scientific and technological performance, title job, academic level, and the like.
In this embodiment, step S3 establishes a basic representation of the bidder and step S4 generates a bidder configuration scheme, which are respectively completed by the bidder configuration scheme intelligent generation module. The intelligent generation module of the bidder configuration scheme can conduct intelligent matching degree analysis on bidder information according to bidder configuration standards, and then automatically generate the bidder configuration scheme.
Wherein, the step S3 is shown in fig. 4, and includes the following steps:
step S31, primary screening of bidders;
step S32, bidder multidimensional ability assessment;
and S33, intelligent matching degree analysis.
Further, in the step S31, the standard of the bidder primary screening in this embodiment, that is, the project staffing requirements issued by the construction party and transmitted by the upstream bidder staffing requirement input module, are specific indexes such as a practice qualification, a job title grade and a major. In this embodiment, the bidder personnel matching degree intelligent analysis submodule may preliminarily screen out the personnel meeting each index condition from the bidder personnel information base according to the established standard, and place the personnel as the bidder alternative into the bidder resource pool.
Further, the bidder capability assessment dimension of step S32 in this embodiment includes: project performance, related professional field scientific and technological achievement performance and other factors, and the like, three capability evaluations are performed by adopting a score system, and correspondingly, a bidder multidimensional capability evaluation flow is shown in fig. 5, and comprises the following steps:
step S321, project performance evaluation;
step S322, evaluating scientific achievements in the related fields;
in step S323, other factors are evaluated.
Further, in the present embodiment, the project performance evaluation is performed on the project performance evaluation score, the importance of the job assigned by the individual in the project, the project relevance, and the project scale according to the following formula:
wherein S is p Is a project performance assessment score; s is(s) pdi Is the project designation score, which relates to the importance of the individual's designation in the project, with different scores given according to the project designation post. Scoring rules for scoring project tenure in this embodiment: project job (project manager, project set, etc.), count 5 points; project secondary job (project secondary manager, project secondary set total, etc.) counts 3 points; the other was 1 minute.
s psi Is a project size score, which is related to the size of the project that an individual hosts or participates in, giving different scores according to the size of the project. The scoring rule of the scale scoring of the item in the embodiment is as follows, and the scoring of the large-scale item (the price of the item contract is more than or equal to 5000 ten thousand) is 5 minutes; medium-sized projects (5000 ten thousand > project contract price is more than or equal to 2000 ten thousand), count 3 minutes; small-sized items (item contract price < 2000 ten thousand) are counted for 1 minute.
r i The project correlation coefficient is used for representing the service correlation degree between the project participated by the person and the project to be bidding, and is used for measuring whether the project experience of the person has positive effect on the project to be bidding or not and respectively assigning values according to the correlation degree. R in the present embodiment i The scoring rules are: the overlap ratio of the profession of the personal participation project and the profession of the project to be bid is more than or equal to 90 percent, and the score is counted for 1 minute; 90 percent of the special overlap ratio is more than or equal to 50 percent, and 0.6 minute is counted; 50% of the special overlap ratio is more than or equal to 30%, and 0.3 minutes is counted; professional overlap ratio is less than 30%, and the score is 0.1.
Further, in this embodiment, the scientific and technological achievements in the related field are evaluated by adopting an integral system, and are examined from the scientific and technological achievements such as patents and papers published in the related professional field, the corresponding contribution degree and the like of the individual. The relationship between the achievements of science and technology and the corresponding contribution degree is as follows:
wherein S is a Is a scientific and technological achievement performance evaluation point. s is(s) ai The score of the scientific and technological achievement category is given different scores according to the grade of the scientific and technological achievement category, the acceptance of the industry, the difficulty and the like. Scientific and technological achievement class score s in this embodiment ai The scoring rule is as follows, the application patent counts 5 points; the application patent, count 3; authoritative core publication papers, count 5 points; important core publication papers, count 3 points; other papers, score 2.
o i The contribution degree of the scientific achievements is scored, the evaluation is carried out according to the order of the authors in the scientific achievements, and the first three authors are respectively given different scores. O in this example i The scoring rule is as follows, one is as follows, score 5; secondly, counting 3 minutes; and thirdly, counting 1 minute.
Further, other factor evaluation depends on actual demands of bidding work, and according to the emphasis on project personnel allocation requirements, assessment indexes are flexibly expanded, and a self-defined assessment mode is adopted. In this embodiment, the evaluation is performed without consideration from other factors due to the project characteristics.
Further, in the embodiment, the intelligent matching degree analysis of S33 is implemented by integrating the project performance score, the scientific and technological result score and other factor score in the preamble step by the intelligent matching degree analysis sub-module of the bidder personnel, and performing weighted summation according to each index weight to obtain respective matching degree scores:
S fd ＝S p *w p +S a *w a +S o *w o
wherein S is fd Is the matching degree integral. S is S p The project performance evaluation points are calculated in the previous step; s is S a The method is related field scientific and technological achievement performance evaluation integration obtained through calculation in the preamble step; s is S o Is the other factor evaluation integral calculated in the previous step. w (w) p 、w a 、w o The weights are corresponding to project performance evaluation, related field scientific and technological achievement performance evaluation and other factor evaluation respectively.
In this embodiment, project performance weight w p Get 60% of scientific and technological achievement weight w a 40% is taken, and the partial weight w is evaluated without other factors o Taking 0%.
In this embodiment, step S4 of generating the bidder configuration scheme is performed by the bidder configuration scheme auto-generation sub-module. The automatic generation sub-module of the bidder allocation scheme can extract corresponding numbers of people from matching ranking lists of various people according to personnel quota of various people in bidder allocation requirements to form a final bidder allocation scheme, output all personnel information (including professional qualification, project performance, technological achievement performance and the like) to the same document, and provide functions of one-key downloading, one-key generation of personnel resume and the like. As shown in FIG. 5, a schematic diagram of a personnel configuration generation scheme is provided for the embodiment of the application, through the personnel selected after the intelligent evaluation of the system, key information such as technical direction, name, qualification certification, participation in similar project conditions, related system implementation experience and the like is presented to the staff in the form of a form table, and a 'print form' button is provided to realize a one-key printing function.
The method provided by the application is applied to the EPC project of a certain power station, and can accurately output the matched personnel configuration table with the name, the authentication qualification, the participation of similar project conditions and the implementation experience (year) of related systems as the header. According to project requirements, related personnel with top ranking are rapidly obtained according to the ordering of personnel in the configuration table, and rapid bidding work is achieved.
Personnel configuration table
Although the present application has been described with reference to the foregoing embodiments, it will be apparent to those skilled in the art that modifications may be made to the embodiments described, or equivalents may be substituted for elements thereof, and any modifications, equivalents, improvements and changes may be made without departing from the spirit and principles of the present application.
Claims (10)
1. A human resource information acquisition method for bidder configuration, comprising the steps of:
step S1: acquiring personnel allocation requirements of bidders;
step S2: extracting a bidder information key field, inquiring the personnel key information required for bidding at the time from an enterprise human resource data warehouse, and constructing a bidder information base according to the information;
step S3: performing primary screening on data in a bidder information base to obtain candidate bidders, respectively calculating project performance evaluation points, related field scientific and technological achievement evaluation scores and intelligent matching degree analysis scores of the candidate bidders, and sequencing the candidate bidders to obtain a staff matching degree ranking list;
project performance assessment points are calculated as follows:
wherein S is p Is a project performance assessment score; s is(s) pdi Scoring the project tenninal, and giving different scores according to the project tenninal post; s is(s) psi Is a project scale score, which relates to the size of a project that an individual hosts or participates in, giving different scores according to the size of the project; r is (r) i Is an item correlation coefficient representing the degree of business correlation between the item participated by the individual and the item to be bid;
the related art scientific and technological achievement evaluation integral is calculated according to the following formula:
wherein S is a Is a scientific and technological achievement performance evaluation point; s is(s) ai Is a scientific and technological achievement category score; o (o) i Is the score of the contribution degree of the scientific and technological achievements;
the intelligent matching degree analysis score is calculated according to the following formula:
S fd ＝S p *w p +S a *w a +S o *w o
wherein S is fd Is a matching degree integral; s is S p Is a project performance assessment score; s is S a Is the scientific and technological achievement evaluation integration in the related field; w (w) p 、w a 、w o The method comprises the steps of project performance evaluation, related field scientific and technological achievement performance evaluation and other factor evaluation corresponding weights;
step S4: and generating a bidder configuration scheme according to the personnel matching degree ranking list.
2. The human resource information acquisition method for bidder configuration of claim 1, wherein the project job score s psi When the project scale scoring accounting is carried out, the project scale is evaluated according to the project contract price;
item relevance coefficient r i When the project relevance coefficient is assigned, the project is participated according to the personal historyAnd evaluating the coincidence degree of the professional keyword responsible for the bid and the professional keyword required by the to-be-bidding project, wherein the higher the coincidence degree of the professional keyword and the to-be-bidding project is, the higher the correlation degree is considered, and the larger the corresponding correlation coefficient is.
3. The human resource information acquisition method for bidder configuration of claim 1, wherein the technological achievement class score s ai The scoring of the scientific and technological achievement category is given different scores according to the grade of the scientific and technological achievement category, the acceptance of the industry, the difficulty and the like;
scientific and technological achievement contribution degree scoring o i The contribution degree scores of the scientific achievements are evaluated according to the author order of individuals in the scientific achievements, and the first three authors are respectively given different scores.
4. The human resource information acquisition method for bidder configuration according to claim 1, wherein the step S3 further comprises: other factor evaluations are performed on the candidate bidders.
5. The human resource information acquisition method for bidder configuration according to claim 1, wherein the matching degree score S fd The higher the matching degree integral, the higher the matching degree, and the higher the comprehensive ranking;
project performance weight w p Performance weight w of scientific and technological achievements a Weights w of other factors o The three capability dimension weights can be assigned according to the characteristics of the item to be bid.
6. The human resource information acquisition method for bidder configuration according to claim 1, wherein the preliminary screening of bidders in step S3 comprises the steps of: screening out the personnel meeting various index conditions from a bidder information base according to project personnel allocation requirements issued by a constructor, and putting the personnel as candidate bidders into a bidder resource pool;
more preferably, step S1 obtains staffing requirements of bidders through related requirements of bidding documents of engineering construction parties; the staffing requirements of bidders include: personnel's qualification, job title level, profession, personnel's quota.
7. The human resource information acquisition method for bidder configuration according to claim 1, wherein the step S4 comprises the steps of:
extracting corresponding numbers of people meeting the personnel allocation requirements of bidders according to the sequence from the personnel matching degree ranking list, and outputting a bidder allocation scheme;
the bidder configuration scheme includes: extracting various information of personnel;
more preferably, the step S2 includes the steps of:
step S21: extracting field information such as a practice qualification, a job title grade, a specialty and the like from the personnel allocation requirements of bidders by corresponding engineering constructors;
step S22: inquiring and extracting information from the enterprise human resource data warehouse in real time according to the bidder information key information field;
step S23: and aggregating query extraction information to construct a bidder information base.
8. A system for human resource information acquisition for bidder configuration, comprising:
the request acquisition module is used for acquiring personnel allocation requests of bidders;
the database construction module is used for extracting the key fields of the bidder information, inquiring the key information of the bidder required for the bidding from the enterprise human resource data warehouse, and constructing a bidder information base according to the information;
the evaluation module is used for obtaining candidate bidders after primarily screening data in the bidder information base, respectively calculating project performance evaluation points, related field scientific and technological achievement evaluation points and intelligent matching degree analysis scores of the candidate bidders, and sequencing the candidate bidders to obtain a personnel matching degree ranking list;
project performance assessment points are calculated as follows:
wherein S is p Is a project performance assessment score; s is(s) pdi Scoring the project tenninal, and giving different scores according to the project tenninal post; s is(s) psi Is a project scale score, which relates to the size of a project that an individual hosts or participates in, giving different scores according to the size of the project; r is (r) i Is an item correlation coefficient representing the degree of business correlation between the item participated by the individual and the item to be bid;
the related art scientific and technological achievement evaluation integral is calculated according to the following formula:
wherein S is a Is a scientific and technological achievement performance evaluation point; s is(s) ai Is a scientific and technological achievement category score; o (o) i Is the score of the contribution degree of the scientific and technological achievements;
the intelligent matching degree analysis score is calculated according to the following formula:
S fd ＝S p *w p +S a *w a +S o *w o
wherein S is fd Is a matching degree integral; s is S p Is a project performance assessment score; s is S a Is the scientific and technological achievement evaluation integration in the related field; w (w) p 、w a 、w o The method comprises the steps of project performance evaluation, related field scientific and technological achievement performance evaluation and other factor evaluation corresponding weights;
and the scheme output module is used for generating a bidder configuration scheme according to the personnel matching degree ranking list.
9. The human resource information acquisition system for bidder configuration of claim 8, wherein the project job score s psi When the project scale score is calculated, the project scale is largeThe small scale is evaluated according to the project contract price;
item relevance coefficient r i And when the project correlation coefficient is assigned, evaluating according to the coincidence degree of the professional keyword responsible for the project and the professional keyword required by the project to be bid in the personal history participation project, wherein the higher the coincidence degree of the professional keyword and the professional keyword is, the higher the correlation degree is, the larger the corresponding correlation coefficient is.
10. The human resource information acquisition system for bidder configuration of claim 8, wherein the technological achievement class score s ai The scoring of the scientific and technological achievement category is given different scores according to the grade of the scientific and technological achievement category, the acceptance of the industry, the difficulty and the like;
scientific and technological achievement contribution degree scoring o i The contribution degree scores of the scientific achievements are evaluated according to the author order of individuals in the scientific achievements, and the first three authors are respectively given different scores.
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