CN111340401A

CN111340401A - Intelligent work task allocation method and device, computer equipment and storage medium

Info

Publication number: CN111340401A
Application number: CN202010228627.8A
Authority: CN
Inventors: 沈松乾; 任福平
Original assignee: Shenzhen Chihu Software Technology Co ltd
Current assignee: Shenzhen Chihu Software Technology Co ltd
Priority date: 2020-03-27
Filing date: 2020-03-27
Publication date: 2020-06-26
Anticipated expiration: 2040-03-27
Also published as: CN111340401B

Abstract

The invention discloses a method and a device for intelligently distributing work tasks, computer equipment and a storage medium. The method comprises the following steps: the method comprises the steps of decomposing newly-added production services to obtain a plurality of corresponding work tasks, judging each work task according to distribution conditions and obtaining a task to be distributed, obtaining the task to be distributed of each target department, distributing the task to be distributed of any target department according to distribution rules to obtain a plurality of distribution flows, calculating a gain coefficient corresponding to the distribution flows in the distribution flows according to a gain coefficient calculation formula to select an optimal distribution flow as a target distribution flow, and completing distribution of all the tasks to be distributed according to the target distribution flow.

Description

Intelligent work task allocation method and device, computer equipment and storage medium

Technical Field

The invention relates to the technical field of computers, in particular to a method and a device for intelligently distributing work tasks, computer equipment and a storage medium.

Background

Large enterprises include many departments, so the number of employees to be managed is huge, each department in the enterprise needs to perform respective duties to complete a given work task, and the work tasks in the company need to be distributed to clarify the work tasks required to be completed by each employee. The traditional work task allocation mode is that an organization makes a meeting to determine work tasks required to be completed by each employee, however, the work task allocation mode has low allocation efficiency and cannot ensure that each employee obtains a workload equal to the work capacity, and the problem of uneven and unreasonable allocation exists when the work tasks are allocated, so that the waste of human resources of an enterprise is caused, and the overall operation efficiency of the enterprise is further influenced. Therefore, the existing distribution mode has the problems of low distribution efficiency and uneven distribution when distributing the work tasks.

Disclosure of Invention

The embodiment of the invention provides a method and a device for intelligently distributing work tasks, computer equipment and a storage medium, and aims to solve the problems of low distribution efficiency and uneven distribution when distributing the work tasks in the conventional distribution mode.

In a first aspect, an embodiment of the present invention provides a method for intelligently allocating work tasks, including:

if a new production service input by a user is received, decomposing the new production service according to a preset decomposition rule to obtain a plurality of corresponding work tasks, and judging whether each work task meets a prestored distribution condition to obtain a corresponding judgment result;

determining all the work tasks meeting the distribution conditions as tasks to be distributed according to the judgment result;

determining a department corresponding to each task to be distributed as a target department according to a task information set in the decomposition rule so as to obtain the task to be distributed required by each target department;

distributing tasks to be distributed of any one target department according to multiple preset distribution rules and a pre-stored staff information table, and recording a distribution process corresponding to each distribution rule to obtain multiple distribution processes corresponding to the multiple distribution rules;

calculating a gain coefficient corresponding to the distribution mode in the distribution flow according to a preset gain coefficient calculation formula, and acquiring an optimal distribution flow from the distribution flow as a target distribution flow according to the gain coefficient, wherein the target distribution flow at least comprises one distribution mode;

and acquiring a corresponding employee of each task to be distributed in the employee information table as a target employee according to the target distribution process so as to distribute each task to be distributed to the corresponding target employee.

In a second aspect, an embodiment of the present invention provides an intelligent work task allocation device, which includes:

the work task judging unit is used for decomposing the newly added production service according to a preset decomposition rule to obtain corresponding work tasks if the newly added production service input by a user is received, and judging whether each work task meets the pre-stored distribution condition to obtain a corresponding judgment result;

a task to be distributed determining unit, configured to determine all the work tasks meeting the distribution condition as tasks to be distributed according to the determination result;

a target department task determining unit, configured to determine, according to the task information set in the decomposition rule, a department corresponding to each task to be allocated as a target department, so as to obtain a task to be allocated, which needs to be allocated by each target department;

the distribution process acquisition unit is used for distributing tasks to be distributed of any one target department according to a plurality of preset distribution rules and a prestored staff information table, and recording the distribution process corresponding to each distribution rule to obtain a plurality of distribution processes corresponding to the distribution rules;

a target distribution flow obtaining unit, configured to calculate a gain coefficient corresponding to a distribution manner in the distribution flow according to a preset gain coefficient calculation formula, and obtain an optimal distribution flow from the distribution flows as a target distribution flow according to the gain coefficient, where the target distribution flow at least includes one distribution manner;

and the work task allocation unit is used for acquiring one corresponding employee of each task to be allocated in the employee information table according to the target allocation flow as a target employee so as to allocate each task to be allocated to the corresponding target employee.

In a third aspect, an embodiment of the present invention further provides a computer device, which includes a memory, a processor, and a computer program stored on the memory and executable on the processor, where the processor, when executing the computer program, implements the intelligent work task allocation method described in the first aspect.

In a fourth aspect, the embodiment of the present invention further provides a computer-readable storage medium, where the computer-readable storage medium stores a computer program, and the computer program, when executed by a processor, causes the processor to execute the intelligent work task allocation method according to the first aspect.

The embodiment of the invention provides a method and a device for intelligently distributing work tasks, computer equipment and a storage medium. The method comprises the steps of decomposing newly-added production services to obtain a plurality of corresponding work tasks, judging each work task according to distribution conditions and obtaining a task to be distributed, obtaining the task to be distributed of each target department, distributing the task to be distributed of any target department according to distribution rules to obtain a plurality of distribution flows, calculating a gain coefficient corresponding to the distribution flows in the distribution flows according to a gain coefficient calculation formula to select an optimal distribution flow as a target distribution flow, and completing distribution of all the tasks to be distributed according to the target distribution flow.

Drawings

In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings needed to be used in the description of the embodiments are briefly introduced below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.

Fig. 1 is a schematic flow chart of a method for intelligently allocating work tasks according to an embodiment of the present invention;

fig. 2 is a schematic effect diagram of an intelligent work task allocation method according to an embodiment of the present invention;

FIG. 3 is a schematic sub-flow diagram of a method for intelligently allocating work tasks according to an embodiment of the present invention;

FIG. 4 is a schematic view of another sub-flow of a method for intelligently allocating work tasks according to an embodiment of the present invention;

FIG. 5 is another schematic flow chart of a method for intelligently allocating work tasks according to an embodiment of the present invention;

FIG. 6 is a schematic view of another sub-flow of a method for intelligently allocating work tasks according to an embodiment of the present invention;

fig. 7 is another schematic flow chart of a method for intelligently allocating work tasks according to an embodiment of the present invention;

FIG. 8 is a schematic view of another sub-flow of a method for intelligently allocating work tasks according to an embodiment of the present invention;

FIG. 9 is a schematic block diagram of an intelligent work task assignment device provided in an embodiment of the present invention;

FIG. 10 is a schematic block diagram of a computer device provided by an embodiment of the present invention.

Detailed Description

The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, not all, embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.

It will be understood that the terms "comprises" and/or "comprising," when used in this specification and the appended claims, specify the presence of stated features, integers, steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and/or groups thereof.

It is also to be understood that 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. As used in the specification of the present invention and the appended claims, the singular forms "a," "an," and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise.

It should be further understood that the term "and/or" as used in this specification and the appended claims refers to and includes any and all possible combinations of one or more of the associated listed items.

Referring to fig. 1, fig. 1 is a schematic flow chart of an intelligent work task allocation method according to an embodiment of the present invention. The method is applied to a user terminal, and is executed through application software installed in the user terminal, a user can input a task to be distributed into the user terminal so as to distribute the task to be distributed, the user terminal is terminal equipment used for receiving and distributing the task to be distributed, and the user terminal can be a desktop computer, a notebook computer, a tablet computer or a mobile phone.

As shown in fig. 1, the method includes steps S110 to S160.

S110, if a new production service input by a user is received, decomposing the new production service according to a preset decomposition rule to obtain a plurality of corresponding work tasks, and judging whether each work task meets a pre-stored distribution condition to obtain a corresponding judgment result.

If receiving a new production service input by a user, decomposing the new production service according to a preset decomposition rule to obtain a plurality of corresponding work tasks, and judging whether the work tasks meet pre-stored distribution conditions one by one to obtain a judgment result of each work task. The user can input the new production service through the user terminal, and the user can be an administrator of the user terminal or a leader of an enterprise. The newly added production business is a production business newly formulated by an enterprise, the normal operation of a production line can be ensured only by the close cooperation of a plurality of departments in the enterprise, namely the smooth completion of the production business is ensured, the newly added production business is decomposed according to a preset decomposition rule to obtain a plurality of corresponding work tasks, the decomposition rule is rule information for decomposing newly generated business to obtain corresponding work tasks, the work tasks are tasks to be processed by staff, a task information set and an exclusion rule are included in the decomposition rule, the task information set is a storage information set for defaulted full work tasks to be completed for processing each production business, the task information set stores information such as the task name, distribution and task load of each work task, and the work tasks not to be completed in the full work tasks are excluded one by one according to the exclusion rule, and the plurality of work tasks obtained after elimination are the plurality of work tasks obtained after the newly added production business is decomposed.

The allocation conditions are judgment conditions which are prestored in the user terminal and used for judging the work tasks, whether each work task meets the prestored allocation conditions can be judged one by one, and if the judgment result of the work task meets the allocation conditions, the work task is taken as a task to be allocated.

For example, an enterprise makes a newly added mask production service, and defaults that 20 work tasks need to be completed for each production service, the mask generation service also defaults that 20 work tasks need to be completed, and the 20 work tasks include an "extension factory building", and if the vacant area of the factory building in the enterprise meets the requirement of the work task of "extension factory building", the work task can be removed according to the removal rule. The corresponding work tasks obtained by decomposing the production service according to the decomposition rules are shown in table 1.

Task name	Whether or not to allocate	Task load
			Purchasing machine	Is that	F₁
Purchasing raw materials	Is that	F₂
			Recruitment worker	Whether or not	F₃
Training workers	Whether or not	F₄
			Pricing marketing	Is that	F₅
Marketing strategy	Is that	F₆
			Operation strategy	Is that	F₇
Apply for qualification	Is that	F₈
			Cost calculation	Is that	F₉

TABLE 1

Each work task comprises a task name, whether the work task is distributed or not and a task load, whether the distribution is information of whether the work task is distributed or not is judged, the task load is information for representing the load degree of each work task, the larger the numerical value in the task load is, the more labor is needed for completing the work task corresponding to the task load, and the value range of the task load is [0, 10 ]. The allocation condition may be configured according to the user's requirement, for example, if the allocation condition is set as "yes" in the work task and the task load is greater than "0.6" (preset load threshold), then it may be determined whether the work task satisfies the allocation condition according to the allocation condition.

And S120, determining all the work tasks meeting the distribution conditions as tasks to be distributed according to the judgment result.

And determining all the work tasks meeting the distribution conditions as tasks to be distributed according to the judgment result. If the judgment result of the work task meets the allocation condition, the work task is taken as a task to be allocated, and the task to be allocated is allocated according to the subsequent steps; if the allocation condition is not met, the work task can be directly issued to the designated staff for processing according to the manually designated staff, and the automatic allocation processing of the work task is not needed.

S130, determining a department corresponding to each task to be distributed as a target department according to a task information set in the decomposition rule so as to obtain the task to be distributed required by each target department, wherein the task information set stores corresponding relations between all work tasks of the enterprise and the department to which the task belongs.

And determining the department corresponding to the task to be distributed as a target department according to a task information set prestored in the user terminal. And the task information set also stores departments to which all the work tasks of the enterprise belong, the departments corresponding to the tasks to be distributed can be obtained according to the task information set, the departments are used as target departments, the tasks to be distributed required by each target department are obtained, and each target department at least comprises one task to be distributed.

S140, distributing the tasks to be distributed of any one target department according to a plurality of preset distribution rules and a pre-stored staff information table, and recording the distribution process corresponding to each distribution rule to obtain a plurality of distribution processes corresponding to the distribution rules.

Distributing the tasks to be distributed of any one target department according to a plurality of preset distribution rules and a prestored staff information table, and recording the distribution process corresponding to each distribution rule to obtain a plurality of distribution processes corresponding to the distribution rules. The user terminal stores a plurality of distribution rules in advance, tasks to be distributed of any target department can be distributed to employees of the target department according to the distribution rules, and each distribution rule corresponds to one distribution flow. One distribution process comprises at least one distribution mode, each distribution mode corresponds to one distribution node, each distribution node comprises a plurality of node branches and a distribution value corresponding to each node branch, each node branch can also be directly associated with one sub-distribution mode corresponding to the node branch, the sub-distribution modes are used for further subdividing the distribution value of the node branch, a plurality of distribution processes corresponding to a plurality of distribution rules can be combined into a decision tree model for intelligent decision, the distribution mode in the decision tree model and any one of the sub-distribution modes after the distribution mode are combined to obtain a complete distribution process, and one distribution process at least comprises one distribution mode.

The employee information table contains the assigned weight value and the load degree of each employee. The employee information table contains all employees of the enterprise, and distribution weight values and load degrees corresponding to the employees, wherein the distribution weight values are weight information which can be referred to in the distribution process of the tasks to be distributed, the distribution weight value of each employee can be obtained through calculation based on the processing quality of the employee for processing the tasks, the distribution weight value is one of quantitative indexes used for reflecting the working capacity of the employee, and the value range of the distribution weight value is [0, 1 ]; the load degree is the load degree of the work task currently processed by the staff, the larger the load degree of the staff is, the heavier the work task is, and the value of the load degree is larger than or equal to zero. The employee information table also includes the specific information of the department to which each employee belongs, the post name, the employee number, the directly superior, whether the subordinate exists, and the like. And acquiring an employee set corresponding to the task to be distributed according to the information of each employee in the employee information table, wherein the employee set at least comprises one employee.

For example, specific information included in the employee information table is shown in table 2.

TABLE 2

In a specific embodiment, as shown in fig. 3, step S140 includes sub-steps S141, S142 and S143.

S141, acquiring employees which belong to the target department and have nonzero assigned weight values in the employee information table to form an employee set, wherein the employee set comprises at least one employee; s142, correspondingly distributing the tasks to be distributed of the target department to the employees in the employee set according to each distribution rule and the distribution weight values and the load degrees of the employees in the employee set; and S143, recording the process of distributing the tasks to be distributed by each distribution rule to obtain a plurality of corresponding distribution flows.

And judging whether the assigned weight value of the employee belonging to the target department in the employee information table is zero or not so as to obtain the employees belonging to the target department and having non-zero assigned weight values, and combining the employees to obtain an employee set, wherein the obtained employee set at least comprises one employee. Distributing the tasks to be distributed of the target department to the employees in the employee set correspondingly according to each distribution rule and the distribution weight values and the load degrees of the employees in the employee set, wherein the distribution rule can be that the employee with the lowest load degree in the employee set is obtained preferentially, and if the load degrees are the same, the employee with the highest distribution weight value in the employee with the lowest load degree is obtained to distribute the tasks to be distributed; the distribution rule can also be that the employees with the highest distribution weight value in the employee set are obtained preferentially, and if the distribution weight values are the same, the employees with the lowest load degree in the employees with the highest distribution weight value are obtained to distribute the tasks to be distributed; the distribution rule can also be that the distribution weight value and the load degree of the staff are calculated according to a preset formula so as to obtain the distribution coefficient of each staff, the staff in the staff set are sorted according to the distribution coefficient, and the tasks to be distributed are distributed in sequence according to the sorting result. The allocation rules may not be limited to the above three, but are not limited to the above three.

For example, if the employee set obtained according to the employee information table shown in table 2 includes two employees, namely "purchasing employee-103" and "purchasing employee-104", when the task to be allocated, which is "purchasing machine", is allocated, the employee with the lowest load degree in the employee set is considered preferentially, and then the task to be allocated, which is "purchasing machine", is allocated to the "purchasing employee-104" according to the above rule.

S150, calculating a gain coefficient corresponding to the distribution mode in the distribution flow according to a preset gain coefficient calculation formula, and acquiring an optimal distribution flow from the distribution flow as a target distribution flow according to the gain coefficient.

And calculating a gain coefficient corresponding to the distribution mode in the distribution flow according to a preset gain coefficient calculation formula, and acquiring an optimal distribution flow from the distribution flows as a target distribution flow according to the gain coefficient. The distribution flows corresponding to the various distribution rules are screened to obtain an optimal distribution flow. The gain coefficient calculation formula is a formula for calculating the gain coefficient of the distribution mode contained in each distribution flow, an optimal distribution flow can be obtained from the constructed decision tree model according to the gain coefficient, the distribution flow contains at least one distribution mode, each distribution mode corresponds to one distribution node, and each distribution node contains a plurality of node branches corresponding to the distribution node and a distribution value corresponding to each node branch. Specifically, if a certain distribution node corresponds to a plurality of distribution modes, gain coefficients of the plurality of distribution modes corresponding to the distribution node are respectively calculated, an optimal distribution mode is selected from the plurality of distribution modes of the distribution node according to the gain coefficients, and if the node branch of the optimal distribution mode is directly associated with a plurality of sub-distribution modes, the gain coefficient corresponding to each sub-distribution mode is calculated again; and repeating the selection process until the distribution node corresponding to the distribution mode does not correspond to the plurality of sub-distribution modes so as to obtain an optimal distribution process from the decision tree model.

Fig. 2 is an effect schematic diagram of the method for intelligently allocating work tasks according to the embodiment of the present invention, where a specific structure of the decision tree model is shown in fig. 2, an allocation node corresponding to a target department is a parent node, and an allocation manner associated with the parent node has S₁、S₂And S₃Three distribution modes S₁Comprising corresponding three node branches F₁₁、F₁₂And F₁₃Node branch F₁And also directly associated with S₁₁、S₁₂And S₁₃Three distribution modes, S₁And S₁₁The combination corresponds to a complete distribution process in the decision tree model.

In a specific embodiment, as shown in fig. 4, step S150 includes sub-steps S151, S152, S153, S154, S155, S156, S157, S158, and S159.

S151, taking the distribution node corresponding to the target department as a parent node; s152, calculating according to the gain coefficient calculation formula and the task distribution proportion of the tasks to be distributed in the parent node to obtain the distribution entropy of the parent node; s153, taking the distribution node corresponding to the distribution mode directly associated with the parent node as a child distribution node, and determining the distribution proportion value of each node branch according to the distribution value of the node branch in the distribution node and the branch characteristic information; s154, calculating the distribution entropy of the sub-distribution nodes according to the gain coefficient calculation formula and the distribution proportion values of all node branches in each sub-distribution node; s155, subtracting the distribution entropy of each sub-distribution node from the distribution entropy of the parent node to obtain a gain coefficient corresponding to each sub-distribution node; s156, determining the distribution mode corresponding to the sub-distribution node with the maximum gain coefficient as an optimal distribution mode; s157, judging whether the node branch of the sub-distribution node corresponding to the optimal distribution mode is a terminal node branch; s158, if the node branch of the sub-distribution node is a terminal node branch, determining the combination of all the optimal distribution modes as the target distribution flow; s159, if the node branch of the child distribution node is not the end node branch, taking the child distribution node as the parent node, executing the distribution node corresponding to the distribution manner directly associated with the parent node as the child distribution node, and determining the distribution ratio value of each node branch according to the distribution value and the branch characteristic information of the node branch in the distribution nodes, that is, returning to execute step S153.

Each node branch corresponds to a branch characteristic information, the branch characteristic information is the characteristic information which is obviously different between the node branch and other node branches, and the distribution ratio value of the node branch comprises the branch occupation ratio of the node branch and the task distribution ratio of tasks to be distributed in the node branch; specifically, the branch characteristic information may be an assigned weight value or a load degree of an employee included in the node branch.

Wherein, the gain coefficient calculation formula can be expressed as:

wherein, C_iFor assigning branch occupation ratio, X, of the ith node branch corresponding to node D_iDistributing proportions to tasks of the ith node branch corresponding to the distribution node D;

for example,if the task to be distributed by a certain target department is 9, the total number of the tasks to be distributed is 14, the distribution node corresponding to the target department is taken as a parent node, the distribution proportion value of the task to be distributed in the parent node is 9/14, the parent node does not contain node branches, and the gain coefficient of the parent node is obtained through calculation according to the formula (1)

A distribution formula associated with the parent node corresponds to a child distribution node, the child distribution node comprises three node branches, distribution values corresponding to the three node branches are respectively 2, 4 and 3, branch characteristic information corresponding to the three node branches respectively corresponds to distribution weight values of employees contained in the node branches, and the distribution weight values of 5 employees contained in the first node branch are all 0.7; the 4 employees in the second node branch have the assigned weight values of 0.9; distributing weight values of 5 employees in the third node branch are all 0.8, determining branch occupation ratios (occupation ratios of the number of employees) of the three node branches to be 5/14, 4/14 and 5/14 respectively according to the information, and task distribution ratios (the ratio of the distribution value to the number of employees) of the three node branches to be 2/5, 4/4 and 3/5 respectively; then the gain coefficient I of the sub-distribution node is calculated according to the formula (1)₂0.694, the gain factor corresponding to the sub-allocation node is G ═ I₁-I₂0.940-0.694-0.246; and acquiring the gain coefficients of all the sub-distribution nodes corresponding to the parent node, and selecting the distribution mode corresponding to the sub-distribution node with the maximum gain coefficient as the optimal distribution mode.

And S160, acquiring a corresponding employee of each task to be distributed in the employee information table according to the target distribution process as a target employee, so as to distribute each task to be distributed to the corresponding target employee.

And acquiring target employees corresponding to each task to be distributed according to the obtained target distribution flow, distributing the tasks to be distributed by any department of the enterprise according to the target distribution flow, distributing only one target employee corresponding to one task to be distributed to the target employee, and completing the automatic distribution of all the tasks to be distributed.

In a specific embodiment, as shown in fig. 5, step S1610 is further included after step S160.

And S1610, updating the data information in the staff information table according to the target staff and the distributed work tasks to obtain the updated staff information table. After a task to be distributed is distributed, the task is used as a distributed work task, and corresponding data information in the staff information table can be updated according to the target staff and the distributed work task.

In a specific embodiment, as shown in fig. 6, step S1610 includes sub-steps S1611, S1612, and S1613.

And S1611, updating the load degree corresponding to the target staff in the staff information table according to the task load of the work task.

And updating the load degree corresponding to the target staff in the staff information table according to the task load of the work task. And updating the load degree of the target employee in the employee information table according to the task load of the distributed work task, specifically, correspondingly increasing the load degree of the target employee according to the task load of the work task so as to update the load degree of the target employee.

And S1612, acquiring the direct superior of the target employee according to the employee information table.

And acquiring the direct superior of the target employee according to the employee information table. Acquiring the employee number of the direct superior level of the target employee in the employee information table, namely taking the employee corresponding to the employee number as the direct superior level of the target employee, wherein the target employee can have a direct superior level or not, and if the target employee has a direct superior level, only one direct superior level of the target employee is provided; if the target employee does not have a direct superordinate, the step S1613 does not need to be executed.

And S1613, calculating according to a preset load degree calculation rule to obtain a load degree calculation value of the direct upper level so as to update the load degree corresponding to the direct upper level in the employee information table.

And calculating according to a preset load degree calculation rule to obtain a load degree calculation value of the direct upper level so as to update the load degree corresponding to the direct upper level in the employee information table. Calculating the load calculation value of the direct higher level according to the preset load calculation rule in the user terminal and the task load of the work task, specifically, calculating the load calculation value F_X＝F_S+a×F_AIn which F is_SIs the initial load degree of the direct superordinate, F_AAnd a is a coefficient value in the load degree calculation rule, and after a load degree calculation value is obtained, the load degree of the directly upper level can be updated to the load degree calculation value.

For example, an initial degree of loading of a certain directly upper stage is F_SIs 1.1, a is 0.2, F_A1, the corresponding load calculation value F_X1.1+0.2 × 1 ═ 1.3.

In a specific embodiment, as shown in fig. 7, step S1620 is further included after step S160.

S1620, if the completion information corresponding to any one of the assigned work tasks input by the user is received, updating the data information in the staff information table according to the completion information to obtain the updated staff information table.

And if the completion information corresponding to any one of the distributed work tasks input by the user is received, updating the data information in the staff information table according to the completion information to obtain the updated staff information table. If a completion novelty corresponding to any assigned work task is received, updating data information corresponding to completion information in an employee information table according to the completion information, wherein the completion information comprises a completion quality score corresponding to the work task and a completion employee, the completion quality score is the processing quality of the employee in the process of processing the work task, the value range of the completion quality score is [0, 1], and the average value of the completion quality scores of all work tasks completed by any employee is the assigned weight value of the employee; the completed staff is the staff who actually processes the work task.

In a specific embodiment, as shown in fig. 8, step S1620 includes sub-steps S1621 and S1622. S1621, updating the load degree of the staff corresponding to the work task in the staff information table according to the task load of the work task.

And updating the load degree of the staff corresponding to the work task in the staff information table according to the task load of the work task. The completion information of the work task also comprises the completed staff, the load degree of the completed staff in the staff information table is updated according to the task load of the work task corresponding to the completion information, and specifically, the load degree of the completed staff is correspondingly reduced according to the task load of the work task so as to update the load degree of the completed staff. After the load degree of the finished employee is updated, the load degree of the finished employee at the direct upper level can be synchronously updated, specifically, the direct upper level of the finished employee is determined firstly, the load degree calculation value at the direct upper level is calculated according to the load degree calculation rule so as to update the load degree corresponding to the direct upper level in the employee information table, and specifically, the load degree calculation value F_X＝F_S-a×F_AIn which F is_SIs the initial load degree of the direct superordinate, F_AFor the task load of a work task, a is the coefficient value in the calculation rule for the load degree.

And S1622, calculating according to the completed tasks of the staff corresponding to the work tasks in the staff information table and the completed quality scores in the completed information to obtain corresponding distribution weight calculation values, and updating the distribution weight values of the staff corresponding to the work tasks according to the distribution weight calculation values.

And calculating according to the completed tasks of the staff corresponding to the work tasks in the staff information table and the completed quality scores in the completion information to obtain corresponding distribution weight calculation values, and updating the distribution weight values of the staff corresponding to the work tasks according to the distribution weight calculation values. The average value of the completion quality scores of all the work tasks completed by any employee is the distribution weight value of the employee, the employee corresponding to the work task is the completed employee in the completion information, the completion quality score in the completion information is added to the completed task of the completed employee to calculate the distribution weight calculation value of the completed employee, and the distribution weight value of the completed employee is updated to the calculated distribution weight calculation value.

In the intelligent work task allocation method provided by the embodiment of the invention, the newly added production service is decomposed to obtain a plurality of corresponding work tasks, judging each work task according to the distribution condition and obtaining the task to be distributed, obtaining the task to be distributed of each target department, and distributing the tasks to be distributed of any target department according to the distribution rules to obtain a plurality of distribution processes, calculating a gain coefficient corresponding to the distribution flow in the distribution flow according to a gain coefficient calculation formula to select an optimal distribution flow as a target distribution flow, and the distribution of all tasks to be distributed is completed according to the target distribution process, and by adopting the distribution method, can obtain the most reasonable distribution process to distribute the work tasks, so that each employee can obtain the workload equal to the work capacity of the employee, human resources in enterprises are fully utilized, and the efficiency and uniformity of distributing the work tasks are improved.

The embodiment of the invention also provides an intelligent work task allocation device, which is used for executing any embodiment of the intelligent work task allocation method. Specifically, referring to fig. 9, fig. 9 is a schematic block diagram of an intelligent work task allocation device according to an embodiment of the present invention. The work task intelligent distribution device can be configured in a user terminal.

As shown in fig. 9, the work task intelligent distribution apparatus 100 includes: a job task determination unit 110, a task to be assigned determination unit 120, a target department task determination unit 130, an assignment flow acquisition unit 140, a target assignment flow acquisition unit 150, and a job task assignment unit 160.

The job task determining unit 110 is configured to, if a new production service input by a user is received, decompose the new production service according to a preset decomposition rule to obtain a plurality of corresponding job tasks, and determine whether each job task satisfies a pre-stored allocation condition to obtain a corresponding determination result.

And a task to be allocated determining unit 120, configured to determine, according to the determination result, all the work tasks meeting the allocation condition as tasks to be allocated.

And a target department task determining unit 130, configured to determine, according to a task information set in the decomposition rule, a department corresponding to each task to be allocated as a target department, so as to obtain a task to be allocated, which needs to be allocated by each target department, where the task information set stores corresponding relationships between all work tasks of an enterprise and the department to which the task belongs.

The distribution process acquiring unit 140 is configured to distribute the tasks to be distributed of any one of the target departments according to a plurality of preset distribution rules and a pre-stored employee information table, and record a distribution process corresponding to each distribution rule to obtain a plurality of distribution processes corresponding to the plurality of distribution rules.

In a specific embodiment, the distribution process obtaining unit 140 includes: the system comprises an employee set acquisition unit, a task distribution unit and a distribution flow acquisition unit.

The employee set acquisition unit is used for acquiring employees which belong to the target department and have non-zero assigned weight values in the employee information table to form an employee set, wherein the employee set comprises at least one employee; the task allocation unit is used for correspondingly allocating the tasks to be allocated of the target department to the employees in the employee set according to each allocation rule and the allocation weight values and the load degrees of the employees in the employee set; and the distribution flow acquiring unit is used for recording the distribution process of each distribution rule on the tasks to be distributed so as to obtain a plurality of corresponding distribution flows.

And a target distribution flow acquiring unit 150, configured to calculate a gain coefficient corresponding to the distribution manner in the distribution flow according to a preset gain coefficient calculation formula, and acquire an optimal distribution flow from the distribution flows as a target distribution flow according to the gain coefficient.

In a specific embodiment, the target distribution process obtaining unit 150 includes: the system comprises a parent node determining unit, a first distribution entropy calculating unit, a distribution proportion value determining unit, a second distribution entropy calculating unit, a gain coefficient acquiring unit, an optimal distribution mode acquiring unit, a node branch judging unit, an optimal distribution mode combining unit and a return executing unit.

A parent node determining unit, configured to use a distribution node corresponding to the target department as a parent node; the first distribution entropy calculation unit is used for calculating the distribution entropy of the parent node according to the gain coefficient calculation formula and the task distribution proportion of the tasks to be distributed in the parent node; the distribution proportion value determining unit is used for determining the distribution proportion value of each node branch according to the distribution value of the node branch in the distribution nodes and the branch characteristic information by taking the distribution node corresponding to the distribution mode directly associated with the parent node as a child distribution node; the second distribution entropy calculation unit is used for calculating the distribution entropy of the sub-distribution nodes according to the gain coefficient calculation formula and the distribution proportion values of all the node branches in each sub-distribution node; a gain coefficient obtaining unit, configured to subtract the distribution entropy of each child distribution node from the distribution entropy of the parent node to obtain a gain coefficient corresponding to each child distribution node; an optimal distribution mode obtaining unit, configured to determine a distribution mode corresponding to the sub-distribution node with the largest gain coefficient as an optimal distribution mode; the node branch judging unit is used for judging whether the node branch of the sub-distribution node corresponding to the optimal distribution mode is a terminal node branch; an optimal distribution mode combination unit, configured to determine a combination of all the optimal distribution modes as the target distribution flow if the node branch of the child distribution node is a terminal node branch; and the return execution unit is used for taking the child distribution node as a parent node and executing the step of taking the distribution node corresponding to the distribution mode directly associated with the parent node as a child distribution node if the node branch of the child distribution node is not the terminal node branch, and determining the distribution proportion value of each node branch according to the distribution value and the branch characteristic information of the node branch in the distribution nodes.

And the work task allocation unit 160 is configured to acquire, according to the target allocation flow, one corresponding employee of each task to be allocated in the employee information table as a target employee, so as to allocate each task to be allocated to the corresponding target employee.

In a specific embodiment, the intelligent work task allocation device further includes: a first updating unit.

And the first updating unit is used for updating the data information in the staff information table according to the target staff and the distributed work tasks so as to obtain the updated staff information table.

In a specific embodiment, the first updating unit further includes: the device comprises a first load degree updating unit, a direct upper level determining unit and a second load degree updating unit.

The first load degree updating unit is used for updating the load degree corresponding to the target staff in the staff information table according to the task load of the work task; the direct upper-level determining unit is used for acquiring the direct upper level of the target employee according to the employee information table; and the second load degree updating unit is used for calculating according to a preset load degree calculation rule to obtain the directly higher-level load degree calculation value so as to update the load degree corresponding to the directly higher level in the employee information table.

In a specific embodiment, the intelligent work task allocation device further includes: and a second updating unit.

And the second updating unit is used for updating the data information in the staff information table according to the completion information to obtain the updated staff information table if the completion information corresponding to any assigned work task input by the user is received.

In a specific embodiment, the second updating unit further includes: a third load update unit and a distribution weight update unit.

The third load degree updating unit is used for updating the load degree of the staff corresponding to the work task in the staff information table according to the task load of the work task; and the distribution weight value updating unit is used for obtaining a corresponding distribution weight calculation value according to the finished tasks of the staff corresponding to the work tasks in the staff information table and the finished quality scores in the finished information, and updating the distribution weight values of the staff corresponding to the work tasks according to the distribution weight calculation value.

The work task intelligent allocation device provided by the embodiment of the invention applies the work task intelligent allocation method to decompose the newly added production service to obtain a plurality of corresponding work tasks, judges each work task according to the allocation condition and obtains the task to be allocated, obtains the task to be allocated of each target department, allocates the task to be allocated of any target department according to the allocation rule to obtain a plurality of allocation flows, calculates the gain coefficient corresponding to the allocation flow in the allocation flows according to the gain coefficient calculation formula to select an optimal allocation flow as the target allocation flow, and completes the allocation of all the tasks to be allocated according to the target allocation flow, and by adopting the allocation method, the most reasonable allocation flow can be obtained to allocate the work tasks, so that each employee can be allocated to obtain the workload equal to the work capacity of the employee, so as to fully utilize the human resources in the enterprise, the efficiency and the uniformity of distributing the work tasks are improved.

The intelligent work task allocation means described above may be implemented in the form of a computer program that can be run on a computer device as shown in fig. 10.

Referring to fig. 10, fig. 10 is a schematic block diagram of a computer device according to an embodiment of the present invention.

Referring to fig. 10, the computer device 500 includes a processor 502, memory, and a network interface 505 connected by a system bus 501, where the memory may include a non-volatile storage medium 503 and an internal memory 504.

The non-volatile storage medium 503 may store an operating system 5031 and a computer program 5032. The computer programs 5032, when executed, cause the processor 502 to perform the intelligent allocation of work tasks method.

The processor 502 is used to provide computing and control capabilities that support the operation of the overall computer device 500.

The internal memory 504 provides an environment for the operation of the computer program 5032 in the non-volatile storage medium 503, and when the computer program 5032 is executed by the processor 502, the processor 502 can be enabled to execute the intelligent work task allocation method.

The network interface 505 is used for network communication, such as providing transmission of data information. Those skilled in the art will appreciate that the configuration shown in fig. 10 is a block diagram of only a portion of the configuration associated with aspects of the present invention and is not intended to limit the computing device 500 to which aspects of the present invention may be applied, and that a particular computing device 500 may include more or less components than those shown, or may combine certain components, or have a different arrangement of components.

Wherein the processor 502 is configured to run the computer program 5032 stored in the memory to implement the following functions: if a new production service input by a user is received, decomposing the new production service according to a preset decomposition rule to obtain a plurality of corresponding work tasks, and judging whether each work task meets a prestored distribution condition to obtain a corresponding judgment result; determining all the work tasks meeting the distribution conditions as tasks to be distributed according to the judgment result; determining a department corresponding to each task to be distributed as a target department according to a task information set in the decomposition rule so as to obtain the task to be distributed required by each target department; distributing tasks to be distributed of any one target department according to multiple preset distribution rules and a pre-stored staff information table, and recording a distribution process corresponding to each distribution rule to obtain multiple distribution processes corresponding to the multiple distribution rules; calculating a gain coefficient corresponding to the distribution mode in the distribution flow according to a preset gain coefficient calculation formula, and acquiring an optimal distribution flow from the distribution flows as a target distribution flow according to the gain coefficient; and acquiring a corresponding employee of each task to be distributed in the employee information table as a target employee according to the target distribution process so as to distribute each task to be distributed to the corresponding target employee.

In an embodiment, when executing the step of allocating a task to be allocated to any one of the target departments according to a plurality of preset allocation rules and a pre-stored employee information table, and recording an allocation process corresponding to each allocation rule to obtain a plurality of allocation flows corresponding to the plurality of allocation rules, the processor 502 executes the following operations: acquiring employees which belong to the target department and have nonzero assigned weight values in the employee information table to form an employee set, wherein the employee set comprises at least one employee; correspondingly distributing the tasks to be distributed of the target department to the employees in the employee set according to each distribution rule and the distribution weight values and the load degrees of the employees in the employee set; and recording the process of distributing the tasks to be distributed by each distribution rule to obtain a plurality of corresponding distribution flows.

In an embodiment, when the processor 502 performs the step of calculating the gain coefficient corresponding to the distribution mode in the distribution flow according to a preset gain coefficient calculation formula, and obtaining an optimal distribution flow from the distribution flows as a target distribution flow according to the gain coefficient, the following operations are performed: taking the distribution node corresponding to the target department as a parent node; calculating to obtain the distribution entropy of the parent node according to the gain coefficient calculation formula and the distribution proportion value of the task to be distributed in the parent node; taking the distribution node corresponding to the distribution mode directly associated with the parent node as a child distribution node, and determining the distribution proportion value of each node branch according to the distribution value of the node branch in the distribution node and the branch characteristic information; calculating the distribution entropy of the sub-distribution nodes according to the gain coefficient calculation formula and the distribution proportion values of all node branches in each sub-distribution node; subtracting the distribution entropy of each sub-distribution node from the distribution entropy of the parent node to obtain a gain coefficient corresponding to each sub-distribution node; determining the distribution mode corresponding to the sub-distribution node with the maximum gain coefficient as an optimal distribution mode; judging whether the node branch of the sub-distribution node corresponding to the optimal distribution mode is a terminal node branch; if the node branch of the sub-distribution node is a terminal node branch, determining the combination of all the optimal distribution modes as the target distribution flow; and if the node branch of the child distribution node is not the terminal node branch, taking the child distribution node as a parent node, executing the step of taking the distribution node corresponding to the distribution mode directly associated with the parent node as the child distribution node, and determining the distribution proportion value of each node branch according to the distribution value and the branch characteristic information of the node branch in the distribution nodes.

In an embodiment, after the step of acquiring, according to the target allocation flow, one corresponding employee of each task to be allocated in the employee information table as a target employee, and allocating each task to be allocated to the corresponding target employee, the processor 502 further performs the following operations: and updating the data information in the staff information table according to the target staff and the assigned work tasks to obtain the updated staff information table.

In an embodiment, when the processor 502 executes the step of updating the data information in the employee information table according to the target employee and the assigned work task to obtain the updated employee information table, the following operations are performed: updating the load degree corresponding to the target employee in the employee information table according to the task load of the work task; acquiring a direct upper level of the target employee according to the employee information table; and calculating according to a preset load degree calculation rule to obtain a load degree calculation value of the direct upper level so as to update the load degree corresponding to the direct upper level in the employee information table.

In an embodiment, after the step of acquiring, according to the target allocation flow, one corresponding employee of each task to be allocated in the employee information table as a target employee, and allocating each task to be allocated to the corresponding target employee, the processor 502 further performs the following operations: and if the completion information corresponding to any one of the distributed work tasks input by the user is received, updating the data information in the staff information table according to the completion information to obtain the updated staff information table.

In an embodiment, when executing the step of updating the data information in the employee information table according to the completion information to obtain the updated employee information table if the completion information corresponding to any assigned work task input by the user is received, the processor 502 executes the following operations: updating the load degree of the staff corresponding to the work task in the staff information table according to the task load of the work task; and calculating according to the completed tasks of the staff corresponding to the work tasks in the staff information table and the completed quality scores in the completion information to obtain corresponding distribution weight calculation values, and updating the distribution weight values of the staff corresponding to the work tasks according to the distribution weight calculation values.

Those skilled in the art will appreciate that the embodiment of a computer device illustrated in fig. 10 does not constitute a limitation on the specific construction of the computer device, and that in other embodiments a computer device may include more or fewer components than those illustrated, or some components may be combined, or a different arrangement of components. For example, in some embodiments, the computer device may only include a memory and a processor, and in such embodiments, the structures and functions of the memory and the processor are consistent with those of the embodiment shown in fig. 10, and are not described herein again.

It should be understood that, in the embodiment of the present invention, the Processor 502 may be a Central Processing Unit (CPU), and the Processor 502 may also be other general purpose processors, Digital Signal Processors (DSPs), Application Specific Integrated Circuits (ASICs), Field-Programmable gate arrays (FPGAs) or other Programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, and the like. Wherein a general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.

In another embodiment of the invention, a computer-readable storage medium is provided. The computer readable storage medium may be a non-volatile computer readable storage medium. The computer-readable storage medium stores a computer program, wherein the computer program when executed by a processor implements the steps of: if a new production service input by a user is received, decomposing the new production service according to a preset decomposition rule to obtain a plurality of corresponding work tasks, and judging whether each work task meets a prestored distribution condition to obtain a corresponding judgment result; determining all the work tasks meeting the distribution conditions as tasks to be distributed according to the judgment result; determining a department corresponding to each task to be distributed as a target department according to a task information set in the decomposition rule so as to obtain the task to be distributed required by each target department; distributing tasks to be distributed of any one target department according to multiple preset distribution rules and a pre-stored staff information table, and recording a distribution process corresponding to each distribution rule to obtain multiple distribution processes corresponding to the multiple distribution rules; calculating a gain coefficient corresponding to the distribution mode in the distribution flow according to a preset gain coefficient calculation formula, and acquiring an optimal distribution flow from the distribution flows as a target distribution flow according to the gain coefficient; and acquiring a corresponding employee of each task to be distributed in the employee information table as a target employee according to the target distribution process so as to distribute each task to be distributed to the corresponding target employee.

In an embodiment, the step of allocating the task to be allocated of any one of the target departments according to a plurality of preset allocation rules and a pre-stored employee information table, and recording an allocation process corresponding to each allocation rule to obtain a plurality of allocation flows corresponding to the plurality of allocation rules includes: acquiring employees which belong to the target department and have nonzero assigned weight values in the employee information table to form an employee set, wherein the employee set comprises at least one employee; correspondingly distributing the tasks to be distributed of the target department to the employees in the employee set according to each distribution rule and the distribution weight values and the load degrees of the employees in the employee set; and recording the process of distributing the tasks to be distributed by each distribution rule to obtain a plurality of corresponding distribution flows.

In an embodiment, the step of calculating a gain coefficient corresponding to the distribution mode in the distribution process according to a preset gain coefficient calculation formula, and obtaining an optimal distribution process from the distribution processes as a target distribution process according to the gain coefficient includes: taking the distribution node corresponding to the target department as a parent node; calculating to obtain the distribution entropy of the parent node according to the gain coefficient calculation formula and the distribution proportion value of the task to be distributed in the parent node; taking the distribution node corresponding to the distribution mode directly associated with the parent node as a child distribution node, and determining the distribution proportion value of each node branch according to the distribution value of the node branch in the distribution node and the branch characteristic information; calculating the distribution entropy of the sub-distribution nodes according to the gain coefficient calculation formula and the distribution proportion values of all node branches in each sub-distribution node; subtracting the distribution entropy of each sub-distribution node from the distribution entropy of the parent node to obtain a gain coefficient corresponding to each sub-distribution node; determining the distribution mode corresponding to the sub-distribution node with the maximum gain coefficient as an optimal distribution mode; judging whether the node branch of the sub-distribution node corresponding to the optimal distribution mode is a terminal node branch; if the node branch of the sub-distribution node is a terminal node branch, determining the combination of all the optimal distribution modes as the target distribution flow; and if the node branch of the child distribution node is not the terminal node branch, taking the child distribution node as a parent node, executing the step of taking the distribution node corresponding to the distribution mode directly associated with the parent node as the child distribution node, and determining the distribution proportion value of each node branch according to the distribution value and the branch characteristic information of the node branch in the distribution nodes.

In an embodiment, after the step of obtaining, according to the target allocation process, one corresponding employee of each task to be allocated in the employee information table as a target employee to allocate each task to be allocated to the corresponding target employee, the method further includes: and updating the data information in the staff information table according to the target staff and the assigned work tasks to obtain the updated staff information table.

In an embodiment, the step of updating the data information in the employee information table according to the target employee and the assigned work task to obtain an updated employee information table includes: updating the load degree corresponding to the target employee in the employee information table according to the task load of the work task; acquiring a direct upper level of the target employee according to the employee information table; and calculating according to a preset load degree calculation rule to obtain a load degree calculation value of the direct upper level so as to update the load degree corresponding to the direct upper level in the employee information table.

In an embodiment, after the step of obtaining, according to the target allocation process, one corresponding employee of each task to be allocated in the employee information table as a target employee to allocate each task to be allocated to the corresponding target employee, the method further includes: and if the completion information corresponding to any one of the distributed work tasks input by the user is received, updating the data information in the staff information table according to the completion information to obtain the updated staff information table.

In an embodiment, the step of updating, if completion information corresponding to any assigned work task input by the user is received, data information in the employee information table according to the completion information to obtain an updated employee information table includes: updating the load degree of the staff corresponding to the work task in the staff information table according to the task load of the work task; and calculating according to the completed tasks of the staff corresponding to the work tasks in the staff information table and the completed quality scores in the completion information to obtain corresponding distribution weight calculation values, and updating the distribution weight values of the staff corresponding to the work tasks according to the distribution weight calculation values.

It is clear to those skilled in the art that, for convenience and brevity of description, the specific working processes of the above-described apparatuses, devices and units may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again. Those of ordinary skill in the art will appreciate that the elements and algorithm steps of the examples described in connection with the embodiments disclosed herein may be embodied in electronic hardware, computer software, or combinations of both, and that the components and steps of the examples have been described in a functional general in the foregoing description for the purpose of illustrating clearly the interchangeability of hardware and software. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention.

In the embodiments provided by the present invention, it should be understood that the disclosed apparatus, device and method can be implemented in other ways. For example, the above-described embodiments of the apparatus are merely illustrative, and for example, the division of the units is only a logical division, and there may be other divisions when the actual implementation is performed, or units having the same function may be grouped into one unit, for example, a plurality of units or components may be combined or may be integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may also be an electric, mechanical or other form of connection.

The units described as separate parts may or may not be physically separate, and parts displayed as units 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 units can be selected according to actual needs to achieve the purpose of the solution of the embodiment of the present invention.

In addition, functional units 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, and can also be realized in a form of a software functional unit.

The integrated unit, if implemented in the form of a software functional unit and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present invention essentially contributes to the prior art, or all or part of the technical solution can be embodied in the form of a software product stored in a computer-readable storage medium, which includes several instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention.

The computer-readable storage medium is a physical, non-transitory storage medium, and the computer-readable storage medium may be an internal storage unit of the foregoing device, for example, a physical storage medium such as a hard disk or a memory of the device. The storage medium may also be an external storage device of the device, such as a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), and other physical storage Media provided on the device.

While the invention has been described with reference to specific embodiments, the invention is not limited thereto, and various equivalent modifications and substitutions can be easily made by those skilled in the art within the technical scope of the invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.

Claims

1. A work task intelligent allocation method is applied to a user terminal and is characterized by comprising the following steps:

2. The intelligent work task allocation method according to claim 1, wherein the staff information table includes an allocation weight value and a load degree of each staff, the task to be allocated of any one of the target departments is allocated according to a plurality of preset allocation rules and a pre-stored staff information table, and an allocation process corresponding to each allocation rule is recorded to obtain a plurality of allocation flows corresponding to the allocation rules, and the method includes:

acquiring employees which belong to the target department and have nonzero assigned weight values in the employee information table to form an employee set, wherein the employee set comprises at least one employee;

correspondingly distributing the tasks to be distributed of the target department to the employees in the employee set according to each distribution rule and the distribution weight values and the load degrees of the employees in the employee set;

and recording the process of distributing the tasks to be distributed by each distribution rule to obtain a plurality of corresponding distribution flows.

3. The intelligent distribution method of work tasks according to claim 1, wherein each of the distribution manners corresponds to a distribution node, each of the distribution nodes includes a plurality of node branches and a distribution value corresponding to each of the node branches, the gain coefficient corresponding to the distribution manner in the distribution flow is calculated according to a preset gain coefficient calculation formula, and an optimal distribution flow is obtained from the distribution flows according to the gain coefficient as a target distribution flow, including:

taking the distribution node corresponding to the target department as a parent node;

calculating to obtain the distribution entropy of the parent node according to the gain coefficient calculation formula and the distribution proportion value of the task to be distributed in the parent node;

taking the distribution node corresponding to the distribution mode directly associated with the parent node as a child distribution node, and determining the distribution proportion value of each node branch according to the distribution value of the node branch in the distribution node and the branch characteristic information;

calculating the distribution entropy of the sub-distribution nodes according to the gain coefficient calculation formula and the distribution proportion values of all node branches in each sub-distribution node;

subtracting the distribution entropy of each sub-distribution node from the distribution entropy of the parent node to obtain a gain coefficient corresponding to each sub-distribution node;

determining the distribution mode corresponding to the sub-distribution node with the maximum gain coefficient as an optimal distribution mode;

judging whether the node branch of the sub-distribution node corresponding to the optimal distribution mode is a terminal node branch;

if the node branch of the sub-distribution node is a terminal node branch, determining the combination of all the optimal distribution modes as the target distribution flow;

and if the node branch of the child distribution node is not the terminal node branch, taking the child distribution node as a parent node, executing the step of taking the distribution node corresponding to the distribution mode directly associated with the parent node as the child distribution node, and determining the distribution proportion value of each node branch according to the distribution value and the branch characteristic information of the node branch in the distribution nodes.

4. The intelligent work task allocation method according to claim 1, wherein the obtaining of a corresponding employee of each task to be allocated in the employee information table according to the target allocation process as a target employee to allocate each task to be allocated to the corresponding target employee further comprises:

and updating the data information in the staff information table according to the target staff and the assigned work tasks to obtain the updated staff information table.

5. The intelligent work task allocation method according to claim 4, wherein the updating the data information in the staff information table according to the target staff and the allocated work task to obtain the updated staff information table comprises:

updating the load degree corresponding to the target employee in the employee information table according to the task load of the work task;

acquiring a direct upper level of the target employee according to the employee information table;

and calculating according to a preset load degree calculation rule to obtain a load degree calculation value of the direct upper level so as to update the load degree corresponding to the direct upper level in the employee information table.

6. The intelligent work task allocation method according to claim 1 or 4, wherein the obtaining of a corresponding employee of each task to be allocated in the employee information table according to the target allocation process as a target employee to allocate each task to be allocated to the corresponding target employee further comprises:

and if the completion information corresponding to any one of the distributed work tasks input by the user is received, updating the data information in the staff information table according to the completion information to obtain the updated staff information table.

7. The intelligent work task allocation method according to claim 6, wherein the updating the data information in the staff information table according to the completion information to obtain the updated staff information table comprises:

updating the load degree of the staff corresponding to the work task in the staff information table according to the task load of the work task;

and calculating according to the completed tasks of the staff corresponding to the work tasks in the staff information table and the completed quality scores in the completion information to obtain corresponding distribution weight calculation values, and updating the distribution weight values of the staff corresponding to the work tasks according to the distribution weight calculation values.

8. An intelligent work task assignment device, comprising:

9. A computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, characterized in that the processor implements the intelligent allocation method of work tasks according to any one of claims 1 to 7 when executing the computer program.

10. A computer-readable storage medium, characterized in that it stores a computer program which, when executed by a processor, causes the processor to carry out the intelligent allocation method of work tasks according to any one of claims 1 to 7.