CN113256108A - Human resource allocation method, device, electronic equipment and storage medium - Google Patents
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Abstract
The invention relates to the technical field of artificial intelligence, and provides a human resource allocation method, a human resource allocation device, electronic equipment and a storage medium, wherein the method comprises the following steps: acquiring project information of a target project; when the project version identification is not the first version project identification, acquiring project personnel information of a historical version of the target project and a historical task of each project personnel; analyzing the project information of the target project to determine a target task and the manpower requirement details of the target task; calculating the target similarity of the target task and the historical task of each project person to determine a plurality of target candidate persons; and determining target project personnel of the target project according to the manpower detail data of each target candidate personnel and the manpower requirement details of the target task. According to the invention, the target similarity of the target task and the historical task of each project worker is calculated, and the project workers who have performed the same or similar tasks are selected as target candidate workers, so that the accuracy of human resource allocation is improved.
Description
Technical Field
The invention relates to the technical field of artificial intelligence, in particular to a human resource allocation method, a human resource allocation device, electronic equipment and a storage medium.
Background
With the continuous development of the internet industry, the requirements of projects on version iteration are higher and higher. For projects with repeated version iteration, most of the existing human resource allocation methods adopt an empirical allocation method, for example, a project principal performs average allocation or a member with strong allocation capability according to own experience and intuition.
However, due to the limitation of personal experience and ability of the project principal, it is easy to happen that the developer in the latter version needs to know the previous development content after the human resource allocation, resulting in low human resource allocation accuracy and efficiency.
Therefore, there is a need to provide a fast and accurate method for allocating human resources.
Disclosure of Invention
In view of the above, it is necessary to provide a method, an apparatus, an electronic device and a storage medium for allocating human resources, in which a target candidate is selected as a target person who has performed the same or similar task by calculating a target similarity between a target task and a historical task of each target person, so as to improve an accuracy rate of allocating human resources.
A first aspect of the present invention provides a human resource allocation method, the method comprising:
analyzing the received human resource request to acquire project information of a target project, wherein the project information comprises a project version identifier;
judging whether the project version identification is a first version project identification;
when the project version identification is not the first version project identification, acquiring project personnel information of the historical version of the target project and a historical task of each project personnel;
analyzing the project information of the target project to determine a target task and the manpower requirement details of the target task;
calculating the target similarity of the target task and the historical task of each project person, and determining a plurality of target candidate persons according to the calculated target similarity;
and determining the target project personnel of the target project according to the manpower detail data of each target candidate personnel and the manpower requirement details of the target task.
Optionally, the determining the target project personnel of the target project according to the manpower detail data of each target candidate personnel and the manpower requirement details of the target task includes:
acquiring the manpower requirement corresponding to the target task from the manpower requirement detail of the target task;
acquiring a preset daily energy upper limit of each target candidate;
determining the task completion risk level of each target candidate according to the task completion condition of the historical project of each target candidate;
determining the residual manpower of each target candidate according to the manpower detail of each target candidate, the preset daily energy upper limit of each target candidate and the task completion risk level;
judging whether the residual manpower of each target candidate meets the manpower requirement corresponding to the target task;
and when the residual manpower of any one of the target candidate persons meets the manpower requirement corresponding to the target task, determining any one of the target candidate persons as the target project person of the target project.
Optionally, the method further comprises:
when the residual manpower of any one target candidate person does not meet the manpower requirement corresponding to the target task, performing at least one-time manpower requirement calculation according to the residual manpower of each target candidate person; target project personnel up to the target project, wherein the at least one iterative human demand calculation comprises:
calculating a difference value between the manpower requirement corresponding to the target task and the residual manpower of each target candidate person to obtain a plurality of first difference values;
selecting a target candidate person corresponding to the smallest first difference value from the plurality of calculated first difference values as a first target project person of the target project;
calculating the difference value between the residual manpower of the other target candidate persons and the minimum first difference value to obtain a plurality of second difference values;
selecting the target candidate person corresponding to the smallest second difference value from the plurality of calculated second difference values as a second target project person of the target project;
judging whether the second target project personnel meet the manpower requirement corresponding to the target task;
when the second target project personnel meet the manpower requirement corresponding to the target task, determining the second target project personnel and the first target project personnel as target project personnel of the target project; or
And when the second target project personnel do not meet the manpower requirement corresponding to the target task, performing next iteration manpower requirement calculation on the remaining manpower of the remaining target candidate personnel.
Optionally, the determining whether the project version identifier is a first version project identifier includes:
identifying whether the project version identification exists in a preset first version project identification database or not;
when the project version identification exists in the first version project identification database, determining the project version identification as a first version project identification; or
And when the project version identification does not exist in the first version project identification database, determining that the project version identification is not the first version project identification.
Optionally, the method further comprises:
when the project version identification is a first version project identification, analyzing project information of the target project to determine a target task and manpower requirement details of the target task;
according to the target task and the manpower requirement details of the target task, obtaining a plurality of target candidate persons stored in advance and the manpower detail data of each target candidate person, executing the manpower detail data of each target candidate person and the manpower requirement details of the target task, and determining the target project persons of the target project.
Optionally, the calculating the target similarity of the target task and the historical task of each project person includes:
analyzing the target task to obtain a plurality of first key fields, and analyzing the historical task of each project personnel to obtain a plurality of second key fields;
and calculating the similarity between each first key field and each second key field, and selecting the maximum similarity from the similarities to serve as the target similarity of the target task and the historical task of each project person.
Optionally, the calculating the similarity between each first key field and each second key field includes:
converting each first key field into a first word vector and each second key field into a second word vector;
a similarity between each first word vector and each second word vector is calculated.
A second aspect of the present invention provides a human resources allocation apparatus, the apparatus comprising:
the analysis module is used for analyzing the received human resource request to acquire project information of the target project, wherein the project information comprises project version identification;
the judging module is used for judging whether the project version identification is a first version project identification;
the acquisition module is used for acquiring the project personnel information of the historical version of the target project and the historical task of each project personnel when the project version identification is not the first version project identification;
the first determining module is used for analyzing the project information of the target project to determine a target task and the manpower requirement details of the target task;
the calculation module is used for calculating the target similarity of the target task and the historical task of each project person and determining a plurality of target candidate persons according to the calculated target similarity;
and the second determining module is used for determining the target project personnel of the target project according to the manpower detail data of each target candidate personnel and the manpower requirement details of the target task.
A third aspect of the invention provides an electronic device comprising a processor and a memory, the processor being configured to implement the human resources allocation method when executing a computer program stored in the memory.
A fourth aspect of the present invention provides a computer-readable storage medium having stored thereon a computer program which, when executed by a processor, implements the human resources allocation method.
In summary, according to the human resource allocation method, the device, the electronic device and the storage medium of the present invention, on one hand, the target similarity between the target task and the historical task of each project person is calculated, a plurality of target candidate persons are determined according to the calculated target similarity, and project persons who have performed the same task or similar task are preferentially selected as the target candidate persons according to the target similarity, so that the completion efficiency of the target task can be improved, and the accuracy of human resource allocation is improved; on the other hand, when the project version identification is not the first version project identification, acquiring project personnel information of the historical version of the target project and historical tasks of each project personnel, and distributing the same task or the similar task in the target project to the same project personnel, so that the efficiency of human resource distribution of the target project is improved, and the development quality of the target project is improved; and finally, determining the target project personnel of the target project according to the manpower detail data of each target candidate personnel and the manpower requirement details of the target task, and considering the residual manpower of each target candidate personnel from multiple dimensions, so that the accuracy of the residual manpower of each target candidate personnel obtained through calculation is improved.
Drawings
FIG. 1 is a flowchart illustrating a human resource allocation method according to an embodiment of the present invention.
Fig. 2 is a structural diagram of a human resource allocation apparatus according to a second embodiment of the present invention.
Fig. 3 is a schematic structural diagram of an electronic device according to a third embodiment of the present invention.
Detailed Description
In order that the above objects, features and advantages of the present invention can be more clearly understood, a detailed description of the present invention will be given below with reference to the accompanying drawings and specific embodiments. It should be noted that the embodiments of the present invention and features of the embodiments may be combined with each other without conflict.
Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs. The terminology used in the description of the invention herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention.
Example one
FIG. 1 is a flowchart illustrating a human resource allocation method according to an embodiment of the present invention.
In this embodiment, the method for allocating human resources may be applied to an electronic device, and for an electronic device that needs to allocate human resources, the method of the present invention may be directly integrated with the electronic device to provide the function of allocating human resources, or may be run in the electronic device in the form of a Software Development Kit (SDK).
As shown in fig. 1, the human resource allocation method specifically includes the following steps, and the order of the steps in the flowchart may be changed and some steps may be omitted according to different requirements.
And S11, analyzing the received human resource request to obtain the project information of the target project, wherein the project information comprises project version identification.
In this embodiment, the human resource allocation request is sent from the terminal to the server, and is used to request human resource allocation for a target project, where the human resource allocation request includes project information such as a project name, a version project identifier, a target task, and a human demand detail of the target task of the target project.
In an optional embodiment, the analyzing the human resources request to obtain the project information of the target project includes:
analyzing the message of the human resource request to obtain message information carried by the message;
acquiring the project name of the target project from the message information;
determining an interface of the target project according to the project name of the target project;
and calling an interface of the target project to acquire project information of the target project.
In the implementation, when a human resource allocation request sent by a terminal is received, the human resource request is analyzed to obtain a project name of a target project, and an interface corresponding to the project name is called to obtain project information of the target project.
And S12, judging whether the project version identification is the first version project identification.
In this embodiment, in order to improve the completion efficiency and the completion quality of the project, it is required to determine whether the target project is the first version project.
In an optional embodiment, the determining whether the item version identifier is a first version item identifier includes:
identifying whether the project version identification exists in a preset first version project identification database or not;
when the project version identification exists in the first version project identification database, determining the project version identification as a first version project identification; or
And when the project version identification does not exist in the first version project identification database, determining that the project version identification is not the first version project identification.
In this embodiment, a first version item identifier database may be preset, the first version item identifier is stored in the preset first version item identifier database, and whether the target item is the first version item or not may be quickly determined by identifying whether the item version identifier exists in the preset first version item identifier database, so that the version determination efficiency of the target item is improved.
And S13, when the project version identification is not the first version project identification, acquiring project personnel information of the historical version of the target project and the historical task of each project personnel.
In this embodiment, when determining that the target project stores the historical version, project personnel information of the historical version and a historical task of each project personnel are acquired.
Further, the method further comprises:
when the project version identification is a first version project identification, analyzing project information of the target project to determine a target task and manpower requirement details of the target task;
according to the target task and the manpower requirement details of the target task, obtaining a plurality of target candidate persons stored in advance and the manpower detail data of each target candidate person, executing the manpower detail data of each target candidate person and the manpower requirement details of the target task, and determining the target project persons of the target project.
In this embodiment, by determining whether the item version identifier is a first version item identifier, determining whether the target item is a first version item according to a determination result, determining that the target item is a first version item when the item version identifier is the first version item identifier, and executing human resource allocation of the target item according to the first version item; when the project version identification is not the first version project identification, determining that the target project is not the first version project, in order to accelerate the completion speed of the target project, improve the completion quality of the target project, obtain project personnel information of a historical version corresponding to the target project and historical tasks of each project personnel, and allocate the same task or the same kind of task in the target project to the same project personnel, so that the efficiency of human resource allocation of the target project is improved, and the development quality of the target project is improved.
And S14, analyzing the project information of the target project to determine a target task and the manpower requirement details of the target task.
In this embodiment, since the project information of the target project includes the target task of the target project and the manpower requirement details of the target task, specifically, the manpower requirement details of the target task may include: target task cycle, manpower demand time of each cycle, demand number, and the like.
And S15, calculating the target similarity of the target task and the historical task of each project person, and determining a plurality of target candidate persons according to the calculated target similarity.
In the embodiment, when the target candidate corresponding to the target task is determined, the target similarity of the target task and the historical task of each project person is calculated, and the project persons who have performed the same task or similar tasks are preferentially selected as the target candidate according to the target similarity, so that the completion efficiency of the target task can be improved, and meanwhile, the accuracy of human resource allocation is improved.
In an optional embodiment, the calculating the target similarity of the target task and the historical task of each project person includes:
analyzing the target task to obtain a plurality of first key fields, and analyzing the historical task of each project personnel to obtain a plurality of second key fields;
and calculating the similarity between each first key field and each second key field, and selecting the maximum similarity from the similarities to serve as the target similarity of the target task and the historical task of each project person.
In an alternative embodiment, the determining the plurality of target candidates according to the calculated target similarity includes:
sorting the target similarity in a descending order;
and selecting the project personnel corresponding to the plurality of target similarities ranked in the front as a plurality of target candidate personnel from the descending ranking result.
In other optional embodiments, the calculating the similarity between each first key field and each second key field comprises:
converting each first key field into a first word vector and each second key field into a second word vector;
a similarity between each first word vector and each second word vector is calculated.
Specifically, the similarity between each first word vector and each second word vector is calculated by the following formula:
wherein (x)1,x2,…,xn) Is the first word vector, (y)1,y2,…,ym) And the word vectors are second word vectors, n represents the number of the first word vectors, m represents the number of the second word vectors, and W represents the similarity of each first word vector and each second word vector.
In this embodiment, the first key field may be a task name of the target task or key information related in a task execution process, and the second key field may be a project name of a history project that has been performed by each project person or key information corresponding to each history project.
And S16, determining the target project personnel of the target project according to the manpower detail data of each target candidate personnel and the manpower requirement details of the target task.
In this embodiment, the human detail data of the target candidate may include: data such as each task name, each task completion period, daily workload, weekly schedule, etc.
In an optional embodiment, the determining the target project personnel of the target project according to the manpower specification data of each target candidate personnel and the manpower requirement specification of the target task comprises:
acquiring the manpower requirement corresponding to the target task from the manpower requirement detail of the target task;
acquiring a preset daily energy upper limit of each target candidate;
determining the task completion risk level of each target candidate according to the task completion condition of the historical project of each target candidate;
determining the residual manpower of each target candidate according to the manpower detail of each target candidate, the preset daily energy upper limit of each target candidate and the task completion risk level;
judging whether the residual manpower of each target candidate meets the manpower requirement corresponding to the target task;
and when the residual manpower of any one of the target candidate persons meets the manpower requirement corresponding to the target task, determining any one of the target candidate persons as the target project person of the target project.
Further, the method further comprises:
when the residual manpower of any one target candidate person does not meet the manpower requirement corresponding to the target task, performing at least one-time manpower requirement calculation according to the residual manpower of each target candidate person; target project personnel up to the target project, wherein the at least one iterative human demand calculation comprises:
calculating a difference value between the manpower requirement corresponding to the target task and the residual manpower of each target candidate person to obtain a plurality of first difference values;
selecting a target candidate person corresponding to the smallest first difference value from the plurality of calculated first difference values as a first target project person of the target project;
calculating the difference value between the residual manpower of the other target candidate persons and the minimum first difference value to obtain a plurality of second difference values;
selecting the target candidate person corresponding to the smallest second difference value from the plurality of calculated second difference values as a second target project person of the target project;
judging whether the second target project personnel meet the manpower requirement corresponding to the target task;
when the second target project personnel meet the manpower requirement corresponding to the target task, determining the second target project personnel and the first target project personnel as target project personnel of the target project; or
And when the second target project personnel do not meet the manpower requirement corresponding to the target task, performing next iteration manpower requirement calculation on the remaining manpower of the remaining target candidate personnel.
In the embodiment, the residual manpower of each target candidate is determined according to the manpower details of each target candidate, the preset daily energy upper limit of each target candidate and the task completion risk level, the residual manpower of each target candidate is considered from multiple dimensions, and the accuracy of the calculated residual manpower of each target candidate is improved.
In the embodiment, whether the residual manpower of each target candidate meets the manpower requirement corresponding to the target task is judged, and when the residual manpower of any target candidate meets the manpower requirement corresponding to the target task, the fact that any target candidate meets the manpower requirement of the target task is determined; when the residual manpower of any one target candidate does not meet the manpower requirement corresponding to the target task, determining that the plurality of target candidates do not meet the manpower requirement of the target task, calculating a difference value between the manpower requirement corresponding to the target task and the residual manpower of each target candidate, determining the target project personnel of the target project according to the difference value, and selecting the candidate with the most residual manpower as the target project personnel of the target project when the difference value is smaller, so that the project risk of the target project can be reduced, and the accuracy of manpower resource allocation is improved.
Further, the determining the remaining manpower of each target candidate according to the manpower details of each target candidate, the preset daily energy limit and the task completion risk level of each target candidate comprises:
inputting the manpower details of each target candidate, the preset daily energy upper limit and the task completion risk level of each target candidate into a pre-trained residual manpower evaluation model;
receiving the remaining human power of each target candidate output by the remaining human power evaluation model.
Specifically, the remaining human assessment model training process includes:
acquiring a plurality of target candidate persons and the manpower detail, the preset daily energy upper limit and the task completion risk level of each target candidate person as sample data sets;
dividing a training set and a testing set from the sample data set;
inputting the training set into a preset neural network for training to obtain a residual manpower evaluation model;
inputting the test set into the residual manpower evaluation model for testing, and calculating a test passing rate;
if the test passing rate is larger than a preset passing rate threshold value, determining that the training of the residual manpower evaluation model is finished; and if the test passing rate is smaller than the preset passing rate threshold value, increasing the number of training sets, and re-training the residual manpower evaluation model.
In this embodiment, after obtaining the manpower details, the preset daily energy upper limit, and the task completion risk level of each target candidate, inputting the obtained result into the pre-trained residual manpower assessment model to obtain the residual manpower of each target candidate, and in the subsequent service process, using the manpower details, the preset daily energy upper limit, and the task completion risk level of each target candidate as new data to increase the number of the sample data set, and retraining the residual manpower assessment model based on the new sample data set. Namely, the residual manpower evaluation model is continuously updated, so that the accuracy of residual manpower evaluation is continuously improved.
Further, the method further comprises:
and displaying the manpower detail data and the residual manpower of each target candidate.
In this embodiment, after receiving the remaining manpower of each target candidate output by the remaining manpower assessment model, the manpower detail data and the remaining manpower of each target candidate are displayed, so that a project principal can be assisted to master the responsible task and the remaining manpower condition of each target candidate in real time, and the project risk of the target project is reduced.
In summary, in the method for allocating human resources according to this embodiment, on one hand, the target similarity between the target task and the historical task of each project person is calculated, a plurality of target candidate persons are determined according to the calculated target similarity, and project persons who have performed the same task or similar tasks are preferentially selected as the target candidate persons according to the target similarity, so that the completion efficiency of the target task can be improved, and the accuracy of human resource allocation is improved; on the other hand, when the project version identification is not the first version project identification, acquiring project personnel information of the historical version of the target project and historical tasks of each project personnel, and distributing the same task or the similar task in the target project to the same project personnel, so that the efficiency of human resource distribution of the target project is improved, and the development quality of the target project is improved; and finally, determining the target project personnel of the target project according to the manpower detail data of each target candidate personnel and the manpower requirement details of the target task, and considering the residual manpower of each target candidate personnel from multiple dimensions, so that the accuracy of the residual manpower of each target candidate personnel obtained through calculation is improved.
Example two
Fig. 2 is a structural diagram of a human resource allocation apparatus according to a second embodiment of the present invention.
In some embodiments, the human resources allocation apparatus 20 may include a plurality of functional modules composed of program code segments. Program code of various program segments in the human resources allocation apparatus 20 can be stored in a memory of the electronic device and executed by the at least one processor to perform the functions of human resources allocation (described in detail in fig. 1).
In this embodiment, the human resources allocation apparatus 20 may be divided into a plurality of functional modules according to the functions performed by the apparatus. The functional module may include: the system comprises an analysis module 201, a judgment module 202, an acquisition module 203, a first determination module 204, a calculation module 205, a second determination module 206 and a display module 207. The module referred to herein is a series of computer program segments capable of being executed by at least one processor and capable of performing a fixed function and is stored in memory. In the present embodiment, the functions of the modules will be described in detail in the following embodiments.
The analysis module 201 is configured to analyze the received human resource request to obtain item information of the target item, where the item information includes an item version identifier.
In this embodiment, the human resource allocation request is sent from the terminal to the server, and is used to request human resource allocation for a target project, where the human resource allocation request includes project information such as a project name, a version project identifier, a target task, and a human demand detail of the target task of the target project.
In an optional embodiment, the parsing module 201 parsing the human resources request to obtain the project information of the target project includes:
analyzing the message of the human resource request to obtain message information carried by the message;
acquiring the project name of the target project from the message information;
determining an interface of the target project according to the project name of the target project;
and calling an interface of the target project to acquire project information of the target project.
In the implementation, when a human resource allocation request sent by a terminal is received, the human resource request is analyzed to obtain a project name of a target project, and an interface corresponding to the project name is called to obtain project information of the target project.
The determining module 202 is configured to determine whether the item version identifier is a first version item identifier.
In this embodiment, in order to improve the completion efficiency and the completion quality of the project, it is required to determine whether the target project is the first version project.
In an optional embodiment, the determining module 202 determines whether the item version identifier is a first version item identifier, including:
identifying whether the project version identification exists in a preset first version project identification database or not;
when the project version identification exists in the first version project identification database, determining the project version identification as a first version project identification; or
And when the project version identification does not exist in the first version project identification database, determining that the project version identification is not the first version project identification.
In this embodiment, a first version item identifier database may be preset, the first version item identifier is stored in the preset first version item identifier database, and whether the target item is the first version item or not may be quickly determined by identifying whether the item version identifier exists in the preset first version item identifier database, so that the version determination efficiency of the target item is improved.
An obtaining module 203, configured to obtain, when the project version identifier is not the first version project identifier, project staff information of a historical version of the target project and a historical task of each project staff.
In this embodiment, when determining that the target project stores the historical version, project personnel information of the historical version and a historical task of each project personnel are acquired.
Further, when the project version identification is a first version project identification, analyzing the project information of the target project to determine a target task and a manpower requirement detail of the target task; according to the target task and the manpower requirement details of the target task, obtaining a plurality of target candidate persons stored in advance and the manpower detail data of each target candidate person, executing the manpower detail data of each target candidate person and the manpower requirement details of the target task, and determining the target project persons of the target project.
In this embodiment, by determining whether the item version identifier is a first version item identifier, determining whether the target item is a first version item according to a determination result, determining that the target item is a first version item when the item version identifier is the first version item identifier, and executing human resource allocation of the target item according to the first version item; when the project version identification is not the first version project identification, determining that the target project is not the first version project, in order to accelerate the completion speed of the target project, improve the completion quality of the target project, obtain project personnel information of a historical version corresponding to the target project and historical tasks of each project personnel, and allocate the same task or the same kind of task in the target project to the same project personnel, so that the efficiency of human resource allocation of the target project is improved, and the development quality of the target project is improved.
The first determining module 204 is configured to analyze the project information of the target project to determine a target task and a human demand detail of the target task.
In this embodiment, since the project information of the target project includes the target task of the target project and the manpower requirement details of the target task, specifically, the manpower requirement details of the target task may include: target task cycle, manpower demand time of each cycle, demand number, and the like.
A calculating module 205, configured to calculate a target similarity between the target task and the historical task of each project person, and determine a plurality of target candidate persons according to the calculated target similarity.
In the embodiment, when the target candidate corresponding to the target task is determined, the target similarity of the target task and the historical task of each project person is calculated, and the project persons who have performed the same task or similar tasks are preferentially selected as the target candidate according to the target similarity, so that the completion efficiency of the target task can be improved, and meanwhile, the accuracy of human resource allocation is improved.
In an alternative embodiment, the calculating module 205 calculates the target similarity between the target task and the historical task of each project person includes:
analyzing the target task to obtain a plurality of first key fields, and analyzing the historical task of each project personnel to obtain a plurality of second key fields;
and calculating the similarity between each first key field and each second key field, and selecting the maximum similarity from the similarities to serve as the target similarity of the target task and the historical task of each project person.
In an alternative embodiment, the determining the plurality of target candidates according to the calculated target similarity includes:
sorting the target similarity in a descending order;
and selecting the project personnel corresponding to the plurality of target similarities ranked in the front as a plurality of target candidate personnel from the descending ranking result.
In other optional embodiments, the calculating the similarity between each first key field and each second key field comprises:
converting each first key field into a first word vector and each second key field into a second word vector;
a similarity between each first word vector and each second word vector is calculated.
Specifically, the similarity between each first word vector and each second word vector is calculated by the following formula:
wherein (x)1,x2,…,xn) Is the first word vector, (y)1,y2,…,ym) And the word vectors are second word vectors, n represents the number of the first word vectors, m represents the number of the second word vectors, and W represents the similarity of each first word vector and each second word vector.
In this embodiment, the first key field may be a task name of the target task or key information related in a task execution process, and the second key field may be a project name of a history project that has been performed by each project person or key information corresponding to each history project.
A second determining module 206, configured to determine target project personnel of the target project according to the manpower specification data of each target candidate personnel and the manpower requirement specification of the target task.
In this embodiment, the human detail data of the target candidate may include: data such as each task name, each task completion period, daily workload, weekly schedule, etc.
In an alternative embodiment, the second determining module 206, according to the human detail data of each of the target candidate persons and the human requirement details of the target task, determining the target project person of the target project comprises:
acquiring the manpower requirement corresponding to the target task from the manpower requirement detail of the target task;
acquiring a preset daily energy upper limit of each target candidate;
determining the task completion risk level of each target candidate according to the task completion condition of the historical project of each target candidate;
determining the residual manpower of each target candidate according to the manpower detail of each target candidate, the preset daily energy upper limit of each target candidate and the task completion risk level;
judging whether the residual manpower of each target candidate meets the manpower requirement corresponding to the target task;
and when the residual manpower of any one of the target candidate persons meets the manpower requirement corresponding to the target task, determining any one of the target candidate persons as the target project person of the target project.
Further, the second determining module 206 is further configured to perform at least one human demand calculation according to the remaining human power of each target candidate person when the remaining human power of any one target candidate person does not satisfy the human demand corresponding to the target task; target project personnel up to the target project, wherein the at least one iterative human demand calculation comprises:
calculating a difference value between the manpower requirement corresponding to the target task and the residual manpower of each target candidate person to obtain a plurality of first difference values;
selecting a target candidate person corresponding to the smallest first difference value from the plurality of calculated first difference values as a first target project person of the target project;
calculating the difference value between the residual manpower of the other target candidate persons and the minimum first difference value to obtain a plurality of second difference values;
selecting the target candidate person corresponding to the smallest second difference value from the plurality of calculated second difference values as a second target project person of the target project;
judging whether the second target project personnel meet the manpower requirement corresponding to the target task;
when the second target project personnel meet the manpower requirement corresponding to the target task, determining the second target project personnel and the first target project personnel as target project personnel of the target project; or
And when the second target project personnel do not meet the manpower requirement corresponding to the target task, performing next iteration manpower requirement calculation on the remaining manpower of the remaining target candidate personnel.
In the embodiment, the residual manpower of each target candidate is determined according to the manpower details of each target candidate, the preset daily energy upper limit of each target candidate and the task completion risk level, the residual manpower of each target candidate is considered from multiple dimensions, and the accuracy of the calculated residual manpower of each target candidate is improved.
In the embodiment, whether the residual manpower of each target candidate meets the manpower requirement corresponding to the target task is judged, and when the residual manpower of any target candidate meets the manpower requirement corresponding to the target task, the fact that any target candidate meets the manpower requirement of the target task is determined; when the residual manpower of any one target candidate does not meet the manpower requirement corresponding to the target task, determining that the plurality of target candidates do not meet the manpower requirement of the target task, calculating a difference value between the manpower requirement corresponding to the target task and the residual manpower of each target candidate, determining the target project personnel of the target project according to the difference value, and selecting the candidate with the most residual manpower as the target project personnel of the target project when the difference value is smaller, so that the project risk of the target project can be reduced, and the accuracy of manpower resource allocation is improved.
Further, the determining the remaining manpower of each target candidate according to the manpower details of each target candidate, the preset daily energy limit and the task completion risk level of each target candidate comprises:
inputting the manpower details of each target candidate, the preset daily energy upper limit and the task completion risk level of each target candidate into a pre-trained residual manpower evaluation model;
receiving the remaining human power of each target candidate output by the remaining human power evaluation model.
Specifically, the remaining human assessment model training process includes:
acquiring a plurality of target candidate persons and the manpower detail, the preset daily energy upper limit and the task completion risk level of each target candidate person as sample data sets;
dividing a training set and a testing set from the sample data set;
inputting the training set into a preset neural network for training to obtain a residual manpower evaluation model;
inputting the test set into the residual manpower evaluation model for testing, and calculating a test passing rate;
if the test passing rate is larger than a preset passing rate threshold value, determining that the training of the residual manpower evaluation model is finished; and if the test passing rate is smaller than the preset passing rate threshold value, increasing the number of training sets, and re-training the residual manpower evaluation model.
In this embodiment, after obtaining the manpower details, the preset daily energy upper limit, and the task completion risk level of each target candidate, inputting the obtained result into the pre-trained residual manpower assessment model to obtain the residual manpower of each target candidate, and in the subsequent service process, using the manpower details, the preset daily energy upper limit, and the task completion risk level of each target candidate as new data to increase the number of the sample data set, and retraining the residual manpower assessment model based on the new sample data set. Namely, the residual manpower evaluation model is continuously updated, so that the accuracy of residual manpower evaluation is continuously improved.
Further, the display module 207 is configured to display the human detail data and the remaining human of each of the target candidate persons.
In this embodiment, after receiving the remaining manpower of each target candidate output by the remaining manpower assessment model, the manpower detail data and the remaining manpower of each target candidate are displayed, so that a project principal can be assisted to master the responsible task and the remaining manpower condition of each target candidate in real time, and the project risk of the target project is reduced.
In summary, in the human resource allocation apparatus of this embodiment, on one hand, the target similarity between the target task and the historical task of each project person is calculated, a plurality of target candidate persons are determined according to the calculated target similarity, and project persons who have performed the same task or similar tasks are preferentially selected as the target candidate persons according to the target similarity, so that the completion efficiency of the target task can be improved, and meanwhile, the accuracy of human resource allocation is improved; on the other hand, when the project version identification is not the first version project identification, acquiring project personnel information of the historical version of the target project and historical tasks of each project personnel, and distributing the same task or the similar task in the target project to the same project personnel, so that the efficiency of human resource distribution of the target project is improved, and the development quality of the target project is improved; and finally, determining the target project personnel of the target project according to the manpower detail data of each target candidate personnel and the manpower requirement details of the target task, and considering the residual manpower of each target candidate personnel from multiple dimensions, so that the accuracy of the residual manpower of each target candidate personnel obtained through calculation is improved.
EXAMPLE III
Fig. 3 is a schematic structural diagram of an electronic device according to a third embodiment of the present invention. In the preferred embodiment of the present invention, the electronic device 3 comprises a memory 31, at least one processor 32, at least one communication bus 33 and a transceiver 34.
It will be appreciated by those skilled in the art that the configuration of the electronic device shown in fig. 3 does not constitute a limitation of the embodiment of the present invention, and may be a bus-type configuration or a star-type configuration, and the electronic device 3 may include more or less other hardware or software than those shown, or a different arrangement of components.
In some embodiments, the electronic device 3 is an electronic device capable of automatically performing numerical calculation and/or information processing according to instructions set or stored in advance, and the hardware thereof includes but is not limited to a microprocessor, an application specific integrated circuit, a programmable gate array, a digital processor, an embedded device, and the like. The electronic device 3 may also include a client device, which includes, but is not limited to, any electronic product that can interact with a client through a keyboard, a mouse, a remote controller, a touch pad, or a voice control device, for example, a personal computer, a tablet computer, a smart phone, a digital camera, and the like.
It should be noted that the electronic device 3 is only an example, and other existing or future electronic products, such as those that can be adapted to the present invention, should also be included in the scope of the present invention, and are included herein by reference.
In some embodiments, the memory 31 is used for storing program codes and various data, such as the human resource allocation device 20 installed in the electronic equipment 3, and realizes high-speed and automatic access to programs or data during the operation of the electronic equipment 3. The Memory 31 includes a Read-Only Memory (ROM), a Programmable Read-Only Memory (PROM), an Erasable Programmable Read-Only Memory (EPROM), a One-time Programmable Read-Only Memory (OTPROM), an electronically Erasable rewritable Read-Only Memory (Electrically-Erasable Programmable Read-Only Memory (EEPROM)), an optical Read-Only disk (CD-ROM) or other optical disk Memory, a magnetic disk Memory, a tape Memory, or any other medium readable by a computer capable of carrying or storing data.
In some embodiments, the at least one processor 32 may be composed of an integrated circuit, for example, a single packaged integrated circuit, or may be composed of a plurality of integrated circuits packaged with the same or different functions, including one or more Central Processing Units (CPUs), microprocessors, digital Processing chips, graphics processors, and combinations of various control chips. The at least one processor 32 is a Control Unit (Control Unit) of the electronic device 3, connects various components of the electronic device 3 by using various interfaces and lines, and executes various functions and processes data of the electronic device 3 by running or executing programs or modules stored in the memory 31 and calling data stored in the memory 31.
In some embodiments, the at least one communication bus 33 is arranged to enable connection communication between the memory 31 and the at least one processor 32 or the like.
Although not shown, the electronic device 3 may further include a power supply (such as a battery) for supplying power to each component, and optionally, the power supply may be logically connected to the at least one processor 32 through a power management device, so as to implement functions of managing charging, discharging, and power consumption through the power management device. The power supply may also include any component of one or more dc or ac power sources, recharging devices, power failure detection circuitry, power converters or inverters, power status indicators, and the like. The electronic device 3 may further include various sensors, a bluetooth module, a Wi-Fi module, and the like, which are not described herein again.
It is to be understood that the described embodiments are for purposes of illustration only and that the scope of the appended claims is not limited to such structures.
The integrated unit implemented in the form of a software functional module may be stored in a computer-readable storage medium. The software functional module is stored in a storage medium and includes several instructions to enable a computer device (which may be a personal computer, an electronic device, or a network device) or a processor (processor) to execute parts of the methods according to the embodiments of the present invention.
In a further embodiment, in conjunction with fig. 2, the at least one processor 32 may execute an operating device of the electronic device 3 and various installed applications (such as the human resource allocation device 20), program codes, and the like, such as the above modules.
The memory 31 has program code stored therein, and the at least one processor 32 can call the program code stored in the memory 31 to perform related functions. For example, the modules illustrated in fig. 2 are program codes stored in the memory 31 and executed by the at least one processor 32, so as to implement the functions of the modules for the purpose of human resource allocation.
In one embodiment of the present invention, the memory 31 stores a plurality of instructions that are executed by the at least one processor 32 to implement the functionality of human resources allocation.
Specifically, the at least one processor 32 may refer to the description of the relevant steps in the embodiment corresponding to fig. 1, and details are not repeated here.
In the embodiments provided in the present invention, it should be understood that the disclosed apparatus and method may be implemented in other ways. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the modules is only one logical functional division, and other divisions may be realized in practice.
The modules described as separate parts may or may not be physically separate, and parts displayed as modules may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment.
In addition, functional modules in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, or in a form of hardware plus a software functional module.
It will be evident to those skilled in the art that the invention is not limited to the details of the foregoing illustrative embodiments, and that the present invention may be embodied in other specific forms without departing from the spirit or essential attributes thereof. The present embodiments are therefore to be considered in all respects as illustrative and not restrictive, the scope of the invention being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein. Any reference sign in a claim should not be construed as limiting the claim concerned. Furthermore, it is obvious that the word "comprising" does not exclude other elements or that the singular does not exclude the plural. A plurality of units or means recited in the present invention may also be implemented by one unit or means through software or hardware. The terms first, second, etc. are used to denote names, but not any particular order.
Finally, it should be noted that the above embodiments are only for illustrating the technical solutions of the present invention and not for limiting, and although the present invention is described in detail with reference to the preferred embodiments, it should be understood by those skilled in the art that modifications or equivalent substitutions may be made on the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention.
Claims (10)
1. A method for human resource allocation, the method comprising:
analyzing the received human resource request to acquire project information of a target project, wherein the project information comprises a project version identifier;
judging whether the project version identification is a first version project identification;
when the project version identification is not the first version project identification, acquiring project personnel information of the historical version of the target project and a historical task of each project personnel;
analyzing the project information of the target project to determine a target task and the manpower requirement details of the target task;
calculating the target similarity of the target task and the historical task of each project person, and determining a plurality of target candidate persons according to the calculated target similarity;
and determining the target project personnel of the target project according to the manpower detail data of each target candidate personnel and the manpower requirement details of the target task.
2. The method of human resource allocation according to claim 1, wherein said determining target project personnel for said target project based on said human detail data for each of said target candidate personnel and said human requirement details for said target task comprises:
acquiring the manpower requirement corresponding to the target task from the manpower requirement detail of the target task;
acquiring a preset daily energy upper limit of each target candidate;
determining the task completion risk level of each target candidate according to the task completion condition of the historical project of each target candidate;
determining the residual manpower of each target candidate according to the manpower detail of each target candidate, the preset daily energy upper limit of each target candidate and the task completion risk level;
judging whether the residual manpower of each target candidate meets the manpower requirement corresponding to the target task;
and when the residual manpower of any one of the target candidate persons meets the manpower requirement corresponding to the target task, determining any one of the target candidate persons as the target project person of the target project.
3. The method of human resource allocation according to claim 2, wherein said method further comprises:
when the residual manpower of any one target candidate person does not meet the manpower requirement corresponding to the target task, performing at least one-time manpower requirement calculation according to the residual manpower of each target candidate person; target project personnel up to the target project, wherein the at least one iterative human demand calculation comprises:
calculating a difference value between the manpower requirement corresponding to the target task and the residual manpower of each target candidate person to obtain a plurality of first difference values;
selecting a target candidate person corresponding to the smallest first difference value from the plurality of calculated first difference values as a first target project person of the target project;
calculating the difference value between the residual manpower of the other target candidate persons and the minimum first difference value to obtain a plurality of second difference values;
selecting the target candidate person corresponding to the smallest second difference value from the plurality of calculated second difference values as a second target project person of the target project;
judging whether the second target project personnel meet the manpower requirement corresponding to the target task;
when the second target project personnel meet the manpower requirement corresponding to the target task, determining the second target project personnel and the first target project personnel as target project personnel of the target project; or
And when the second target project personnel do not meet the manpower requirement corresponding to the target task, performing next iteration manpower requirement calculation on the remaining manpower of the remaining target candidate personnel.
4. The method of claim 1, wherein the determining whether the project version identification is a first version project identification comprises:
identifying whether the project version identification exists in a preset first version project identification database or not;
when the project version identification exists in the first version project identification database, determining the project version identification as a first version project identification; or
And when the project version identification does not exist in the first version project identification database, determining that the project version identification is not the first version project identification.
5. The method of human resource allocation according to claim 4, wherein said method further comprises:
when the project version identification is a first version project identification, analyzing project information of the target project to determine a target task and manpower requirement details of the target task;
according to the target task and the manpower requirement details of the target task, obtaining a plurality of target candidate persons stored in advance and the manpower detail data of each target candidate person, executing the manpower detail data of each target candidate person and the manpower requirement details of the target task, and determining the target project persons of the target project.
6. The human resource allocation method as claimed in claim 1, wherein said calculating a target similarity of said target task and said historical task of each project person comprises:
analyzing the target task to obtain a plurality of first key fields, and analyzing the historical task of each project personnel to obtain a plurality of second key fields;
and calculating the similarity between each first key field and each second key field, and selecting the maximum similarity from the similarities to serve as the target similarity of the target task and the historical task of each project person.
7. The human resource allocation method of claim 6, wherein said calculating the similarity between each first key field and each second key field comprises:
converting each first key field into a first word vector and each second key field into a second word vector;
a similarity between each first word vector and each second word vector is calculated.
8. An apparatus for human resource allocation, the apparatus comprising:
the analysis module is used for analyzing the received human resource request to acquire project information of the target project, wherein the project information comprises project version identification;
the judging module is used for judging whether the project version identification is a first version project identification;
the acquisition module is used for acquiring the project personnel information of the historical version of the target project and the historical task of each project personnel when the project version identification is not the first version project identification;
the first determining module is used for analyzing the project information of the target project to determine a target task and the manpower requirement details of the target task;
the calculation module is used for calculating the target similarity of the target task and the historical task of each project person and determining a plurality of target candidate persons according to the calculated target similarity;
and the second determining module is used for determining the target project personnel of the target project according to the manpower detail data of each target candidate personnel and the manpower requirement details of the target task.
9. An electronic device, comprising a processor and a memory, wherein the processor is configured to implement the human resource allocation method as claimed in any one of claims 1 to 7 when executing a computer program stored in the memory.
10. A computer-readable storage medium having a computer program stored thereon, wherein the computer program, when executed by a processor, implements the human resource allocation method as claimed in any one of claims 1 to 7.
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Application publication date: 20210813 |