CN114091941A - Task allocation method and device, electronic equipment and storage medium - Google Patents
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Abstract
The application provides a task allocation method, a device, an electronic device and a storage medium, which belong to the technical field of task scheduling, and the method is applied to document services and comprises the following steps: acquiring a task corresponding to the document service; identifying basic information of the task, wherein the basic information at least comprises attributes of mechanisms to which the task belongs, task attributes, and weight parameters and distribution parameters determined at least based on the attributes of the mechanisms and the task attributes; determining a document processing mechanism for processing the task based on the mechanism attribute and the task attribute; acquiring user evaluation information corresponding to the employee with the employee number in the document processing mechanism; and determining the target employee number according with the weight parameter and the distribution parameter according to the user evaluation information, and distributing the task to the terminal equipment corresponding to the target employee number. The method of the embodiment of the application can complete automatic and reasonable distribution according to the actual conditions of the tasks and the human resources, and improves the service processing efficiency.
Description
Technical Field
The present invention relates to the field of task scheduling technologies, and in particular, to a method and an apparatus for task allocation, an electronic device, and a storage medium.
Background
The processing of the document business is a business with strong professional and high technical content, the global document business is trended to be processed in a centralized way, the operation organization and the specialized team are processed in a centralized way, the client resources of the front desk service of the bank are released, the operation risk can be reduced, the document examination standard can be unified, and the operation cost can be reduced. The centralized processing is a flow management mode for realizing front, middle and background separation and integrated assembly line operation of similar industrial enterprises.
Compared with other businesses of banks, the document business product has long process, more transaction links, more input and output information in a single link, more and complicated logic control rules. Because of its specialty, the intensification of documents in the global document business has become a trend, requiring the division of labor in the internal specialties of the document business team. Based on the background, a centralized processing mode of document business is required to be realized by the system, and the work tasks generated according to the business scene are automatically distributed to professional operation teams. The current work task allocation has the condition of manual sorting or allocation, the manual work task allocation has low selecting and allocating efficiency and poor allocating effect.
Disclosure of Invention
In view of the above, the present invention provides a task allocation method, an electronic device, and a computer-readable storage medium, so as to solve the technical problem of low manual allocation efficiency, and simultaneously, automatically allocate human resources meeting requirements, and ensure efficient task processing.
Some embodiments of the present application provide a task allocation method. The present application is described below in terms of several aspects, embodiments and advantages of which are mutually referenced.
In a first aspect, the present invention provides a task allocation method, applied to a document service, including: acquiring a task corresponding to the document service; identifying basic information of the task, wherein the basic information at least comprises attributes of mechanisms to which the task belongs, task attributes, and weight parameters and distribution parameters determined at least based on the attributes of the mechanisms and the task attributes; determining a weight parameter of the document service on the processing quality based on the mechanism attribute and the service type, wherein the processing quality comprises the processing timeliness and the processing time; determining distribution parameters according with the document business distribution rule based on the mechanism attribute and the task attribute; determining a document processing mechanism for processing the task based on the mechanism attribute and the task attribute; acquiring user evaluation information corresponding to employees with employee numbers in a document processing mechanism; and determining the number of the target staff according with the weight parameter and the distribution parameter according to the user evaluation information, and distributing the task according to the number of the target staff, for example, distributing the task to the terminal equipment corresponding to the number of the target staff.
According to the task allocation method, the allocation rules are optimized based on the tasks of the document business and the human resource condition of the document center, the tasks are automatically allocated to proper resources, the business processing efficiency is improved, and the resource allocation is optimized.
In one possible implementation of the first aspect described above, the mechanism attributes include a concentration type mechanism and a dispersion type mechanism.
In one possible implementation of the first aspect described above, the task attributes include a post attribute and a client attribute, wherein the post attribute includes an attestation service, a modification service, a receipt service, an audit service or a payment service, and the client attribute includes an individual client and an institutional client.
In one possible implementation of the first aspect, the user evaluation information includes: one or more of a user's evaluation of employee business preferences, an average time an employee processes each task, a percentage of return modifications, an average number of tasks processed a single day, and a number of tasks that have currently been assigned.
In one possible implementation of the first aspect described above, the service preferences comprise preferences for handling of enterprise services, preferences for handling of individual customer services or preferences for handling of enterprise services and individual customer services,
the electronic equipment determines the number of the target employee according with the weight parameter and the distribution parameter according to the user evaluation information, and the method comprises the following steps:
the electronic equipment compares the employee business preference with parameters of a mechanism needing preference, a personal client preferring preference or a preference between the mechanism needing preference and the personal client preferring preference in the distribution parameters of the tasks, and determines a set of employee numbers conforming to the distribution parameters;
and the electronic equipment respectively sorts the employee numbers in the set according to the average time for processing each task and the percentage of return modification, and determines the target employee number which accords with the task weight parameter from the employee set.
In one possible implementation of the first aspect, when the business preference is compared with the assignment parameter of the task, the electronic device adds the employee number corresponding to the employee having the business preference greater than or equal to the assignment parameter into the set according to a preference that the priority of processing the organization business and the personal client business is greater than the priority of the organization business.
In one possible implementation of the first aspect, the electronic device sets a weight parameter corresponding to an average time to process each task to be higher than a weight parameter corresponding to a percentage of the fallback modification.
In a possible implementation of the first aspect, when a first subset including a plurality of employee numbers is determined from the set of employees, the electronic device rejects, based on the average number of single-day processing tasks and the number of tasks that have been currently allocated, employee numbers corresponding to the number of tasks that have been currently allocated that is greater than the average number of single-day processing tasks until a target employee number is determined.
In a second aspect, the present application further provides a task assigning apparatus, including:
the acquisition module is used for acquiring tasks corresponding to the document services;
the identification module is used for identifying basic information of the task, wherein the basic information at least comprises attributes of mechanisms to which the task belongs, task attributes of posts, and weight parameters and distribution parameters determined at least based on the attributes of the mechanisms and the task attributes of the posts;
the processing module is used for determining a document processing mechanism for processing the task based on the mechanism attribute and the task attribute;
the processing module is used for acquiring user evaluation information corresponding to employees with employee numbers in the document processing mechanism, determining target employee numbers according with the weight parameters and the distribution parameters according to the user evaluation information, and distributing tasks according to the target employee numbers, for example, distributing the tasks to terminal equipment corresponding to the target employee numbers through the communication module.
According to the device provided by the embodiment of the application, the allocation rule is optimized based on the task of the document business and the human resource condition of the document center, the task is automatically allocated to the appropriate resource, the business processing efficiency is improved, and the resource allocation is optimized.
In one possible implementation of the second aspect described above, the mechanism attributes include a concentration type mechanism and a dispersion type mechanism.
In one possible implementation of the second aspect described above, the task attributes include a post attribute and a client attribute, wherein the post attribute includes an attestation service, a modify service, a call to bill service, an audit service, or a payment service, and the client attribute includes an individual client and an institutional client.
In one possible implementation of the second aspect, the user evaluation information includes: one or more of a user's evaluation of employee business preferences, an average time an employee processes each task, a percentage of return modifications, an average number of tasks processed a single day, and a number of tasks that have currently been assigned.
In one possible implementation of the second aspect described above, the service preferences comprise preferences for handling of enterprise services, preferences for handling of individual customer services or preferences for handling of enterprise services and individual customer services,
the processing module is used for comparing the staff service preference with the parameters of a mechanism needing preference, a personal client preferring preference or a preference between the mechanism needing preference and the personal client preferring preference in the distribution parameters of the tasks, and determining a set of staff numbers meeting the distribution parameters;
and the processing module is used for respectively sequencing the employee numbers in the set according to the average time for processing each task and the return modification percentage, and determining the target employee number which accords with the task weight parameter from the employee set.
In a possible implementation of the second aspect, when the business preference is compared with the assignment parameter of the task, the processing module is configured to add the employee number corresponding to the employee having the business preference greater than or equal to the assignment parameter into the set according to a preference that the priority of processing the organization business and the personal client business is greater than the priority of the personal client business.
In a possible implementation of the second aspect, the processing module is configured to set a weight parameter corresponding to an average time for processing each task to be higher than a weight parameter corresponding to a percentage of the fallback modification.
In a possible implementation of the second aspect, when a first subset including a plurality of employee numbers is determined from the set of employees, the electronic device rejects, based on the average number of single-day processing tasks and the number of tasks that have been currently allocated, employee numbers corresponding to the number of tasks that have been currently allocated that is greater than the average number of single-day processing tasks until a target employee number is determined.
In a third aspect, the present application further provides an electronic device, including:
a memory to store instructions for execution by one or more processors of a device;
a processor configured to execute instructions to cause an electronic device to perform the method of the first aspect.
In a fourth aspect, the present application provides a computer-readable storage medium, in which a computer program is stored, and the computer program, when executed by a processor, causes the processor to execute the method of the first aspect.
In a fifth aspect, the present application discloses a computer program product comprising instructions which, when run on a computer, cause the computer to perform the method of the first aspect embodiment described above.
Drawings
FIG. 1 is a distributed architecture diagram of task allocation in a documentary service scenario according to an embodiment of the present application;
FIG. 2 is a schematic structural diagram of an electronic device according to an embodiment of the present application;
FIG. 3 is a flowchart of a document service based task assignment method according to an embodiment of the present application;
FIG. 4 is another flowchart of a document service based task assignment method according to an embodiment of the present application;
FIG. 5 is a schematic structural diagram of a document service-based task allocation apparatus according to an embodiment of the present application;
fig. 6 is a block diagram of an automatic task allocation device according to some embodiments of the present application.
Detailed Description
The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application.
At present, a system realizes a centralized and decentralized processing mode of document business, in the actual business operation process, tasks need to be sorted manually for the second time, the selecting and distributing efficiency is low, and resource optimal allocation cannot be carried out according to the personal professional ability and the resource load of a document center. Under the condition, the automatic task allocation method based on the document business can solve the technical problem.
Referring to fig. 1, fig. 1 shows a distributed architecture diagram of task allocation in a documentary business scenario. The scene diagram includes a client group device, a server 100 and a terminal device corresponding to each employee, where a device 101 of employee 1, a device 102 of employee 2, and a device 103 of employee 3 belong to position 1 (document processing mechanism), and a device 104 of employee 4 and a device 105 of employee 5 belong to position 2 (document processing mechanism). In the embodiment of the present application, the server 100 may obtain the tasks (document services) sent by the client group devices from different channels, and the server obtains the attribute of the organization to which the tasks belong, for example, the decentralization or the centralization, from the basic information of the document services. And identifying the task attributes of the post. The task attribute of the post indicates which post should process the document service, wherein the post may include the opening service, the modification service, the incoming document service, the auditing service or the payment service, and the server 100 allocates each task to the corresponding post according to the task attribute of the post. As illustrated with reference to fig. 1, the server 100 recognizes that the task 1 belongs to the post 1 (the position of the certification), the server 100 obtains information of all employees from the team of the post 1, for example, user evaluation information of the employees, and the server 100 finds an employee number that best meets the requirements, for example, the employee 2, in the team of the post 1 for the task 1 according to the user evaluation information, the weight parameter and the allocation parameter determined by the mechanism attribute and the task attribute of the task, and the like, and then the server 100 sends the task 1 to the device 102 corresponding to the employee 2, so that the task 1 can be processed by the matched employee 2 in time according to the actual situation of the task. Similarly, task 2 can be correspondingly numbered by a suitable employee, for example, employee 4, and server 100 sends task 2 to device 104 of employee 4, so that task 2 can be properly processed, the best matching between the employee and the task is realized, not only can the effective processing of the task be ensured, but also the work of the employee can be reasonably arranged, and the work efficiency is improved.
In the above embodiments, the server is explained as the electronic device. In some embodiments of the present application, the electronic device may be a computer or the like.
The task allocation method according to the embodiment of the present application is described below with reference to a specific structure of an electronic device.
Referring to fig. 2, fig. 2 shows a schematic structural diagram of an electronic device according to an embodiment of the present disclosure, where the electronic device 210 may be implemented as the server shown in fig. 1, or may be implemented as another electronic device, such as a computer.
The device 210 may include one or more processors 211 coupled to a controller hub 213. For at least one embodiment, the controller hub 213 communicates with the processor 211 via a multi-drop Bus such as a Front Side Bus (FSB), a point-to-point interface such as a Quick Path Interconnect (QPI), or similar connection 216. Processor 211 executes instructions that control general types of data processing operations. In one embodiment, Controller Hub 213 includes, but is not limited to, a Graphics Memory Controller Hub (GMCH) (not shown) and an Input/Output Hub (IOH) (which may be on separate chips) (not shown), where the GMCH includes a Memory and a Graphics Controller and is coupled to the IOH.
The device 210 may also include a coprocessor 212 and memory 214 coupled to the controller hub 213. Alternatively, one or both of the memory and GMCH may be integrated within the processor (as described herein), with the memory 214 and coprocessor 212 coupled directly to the processor 211 and controller hub 213, with the controller hub 213 in a single chip with the IOH. The Memory 214 may be, for example, a Dynamic Random Access Memory (DRAM), a Phase Change Memory (PCM), or a combination of the two. In one embodiment, coprocessor 212 is a special-Purpose processor, such as, for example, a high-throughput MIC processor (MIC), a network or communication processor, compression engine, graphics processor, General Purpose Graphics Processor (GPGPU), embedded processor, or the like. The optional nature of coprocessor 212 is represented in FIG. 2 by dashed lines.
In one embodiment of the present application, the memory 214, which is a computer readable storage medium, has stored thereon instructions for a method for automatic assignment of tasks based on a document service, such that the processor 211, when executing the instructions, performs the steps of:
the electronic equipment acquires a task corresponding to the document service; the method comprises the steps that basic information of a task is identified by electronic equipment, wherein the basic information at least comprises attributes of mechanisms to which the task belongs, task attributes of posts, weight parameters and distribution parameters determined at least based on the attributes of the mechanisms and the task attributes of the posts; the electronic equipment determines a weight parameter of the document service on the processing quality based on the mechanism attribute and the service type, wherein the processing quality comprises the processing timeliness and the processing time; the electronic equipment determines distribution parameters according with the document business distribution rule based on the mechanism attribute and the task attribute; the electronic equipment determines a document processing mechanism for processing the task based on the mechanism attribute and the task attribute; the electronic equipment acquires user evaluation information corresponding to the employee with the employee number in the document processing mechanism; and the electronic equipment determines the target employee number according with the weight parameter and the distribution parameter according to the user evaluation information, and distributes the task to the terminal equipment corresponding to the target employee number.
In one embodiment, the device 210 may further include a Network Interface Controller (NIC) 216. Network interface 216 may include a transceiver to provide a radio interface for device 210 to communicate with any other suitable device (e.g., front end module, antenna, etc.). In various embodiments, the network interface 216 may be integrated with other components of the device 210.
In one embodiment of the present application, the network interface 216 may implement the communication process in the above-described embodiment. For example, the device 210 may be enabled to obtain tasks from customer group devices or distribute tasks to employees' devices via the network interface 216.
The device 210 may further include an Input/Output (I/O) device 215. I/O215 may include: a user interface designed to enable a user to interact with the device 1200; the design of the peripheral component interface enables peripheral components to also interact with the device 210; and/or sensors are designed to determine environmental conditions and/or location information associated with device 210.
It is noted that fig. 2 is merely exemplary. That is, although fig. 2 shows that the apparatus 210 includes a plurality of devices, such as the processor 211, the controller hub 213, and the memory 214, in practical applications, the apparatus using the methods of the present application may include only a part of the devices of the apparatus 210, for example, may include only the processor 211 and the NIC 216. The nature of the optional device in fig. 2 is shown in dashed lines.
The task allocation method according to the embodiment of the present application is described below with reference to the drawings. Taking the method applied to a server as an example, the server may have the structure shown in fig. 2.
Referring to fig. 3 and 4, fig. 3 shows a flowchart of a task allocation method according to an embodiment of the present application. Fig. 4 shows another flowchart of the task allocation method according to the embodiment of the present application, and as shown in fig. 3, the flowchart includes S310-S360.
S310, the server obtains a task corresponding to the document service.
In one embodiment of the present application, the source of the task may come from different channels, for example, based on the branch settlement processing mechanism initiating a specific service, such as registration scanning for issuing an import letter of credit; receiving the SWIFT message to trigger a task to be handled, for example, receiving the MT700 to trigger an export credit notice, etc.; and customers launch through online channels, including enterprise online banking, bank-enterprise direct connection and the like.
As shown in fig. 4, in the embodiment of the present application, the generation of the task may be generated by the product system, for example, the product system obtains basic information of the document service, and the channel information generates the document service into the task. The basic information, such as the organization information, the post, the weight parameter and the distribution parameter shown in fig. 4, may be basic information input into the product system in advance, and the basic information may be obtained from different channels, such as an RG-registration channel, an IM-message channel and an EB-internet banking channel, and the product system generates a task for the document service based on the basic information and sends the task to the server, and may also be distributed to the corresponding terminal device according to the channels during distribution, thereby implementing a multidimensional distribution mode.
S320, the server identifies basic information of the task. For example, the basic information described in the above embodiments includes at least attributes of the organization to which the task belongs, attributes of the task, and a weight parameter and an assignment parameter determined based on at least the attributes of the organization and the attributes of the task. The attributes of the organization can include centralized type and decentralized type, and the attributes of the structure can also include attributes of clients, such as individual clients and organization clients, weight parameters can be determined for the document business according to the information, for example, when the tasks corresponding to the individual clients and the organization clients compete for the same employee, the weight parameters of the individual clients which are selected preferentially can be higher than those of the organization clients, or when the employees with high weights for skill evaluation are selected, parameters can be distributed, parameters of the employees which meet the conditions can be selected, for example, for the tasks corresponding to the individual clients, when the matched employees are selected, the parameters can be set to be preferred for the individual clients, and the like. In the following steps, the assignment process of the employee will be described in detail.
In an embodiment of the present application, the task attribute of the basic information may further include a client number Cst _ id, a channel code ItnStl _ TxCh _ TpCd, a product function code ItnStl _ PD _ Fcn _ Cd, a Step function code ItnSt _ Mnplt _ Step _ Cd, a priority Wk _ Item _ Pry, a currency Ccy, an Amount of money, and the like, so that during matching, more accurate and reliable information may be obtained and distributed to employees with the best processing capability matching.
S330, the server determines a document processing mechanism for processing the task based on the mechanism attribute and the task attribute. For example, if the organization attribute is centralized, the document processing organization with centralized processing is determined, and then the specific document processing organization (team of the post) is determined according to the post attribute in the task attribute.
S340, the server acquires user evaluation information corresponding to the employee with the employee number in the document processing mechanism.
As shown in fig. 4, the user evaluation information may include task completion history data of the employee by the user, and specifically may be evaluation of business preference of the employee by the user, average time of processing each task by the employee, percentage of return modification, average number of tasks processed on a single day, and currently allocated number of tasks, post authority, and the like. Wherein the station rights can be set manually, whether which type of service can be handled, etc.
In some embodiments of the present application, the user rating information may also include basic information of the employee, such as a scholarly calendar, professional background, working age, and the like.
And S350, the server determines the number of the target staff according with the weight parameter and the distribution parameter according to the user evaluation information, and distributes the task to the terminal equipment corresponding to the number of the target staff.
As shown in fig. 4, the server compares the identified weighting parameter and allocation parameter with the user evaluation information of the employee, and selects the best and appropriate employee number corresponding to the employee according to the data comparison between the two.
In the embodiment of the present application, the server may first select a qualified set a according to the employment business preference. For example, the allocation parameter is an employee parameter that selects preferences for individual customers. The server screens out all employees from the document processing institution that are preferred as individual clients according to the distribution parameters and forms a set a. In the embodiment of the present application, the allocation parameters may be set such that the priority of the individual client + the organization client is better than the individual client, and the individual client is better than the organization client, that is, if the employee prefers the individual client + the organization client, according to the above priority, the preference of the employee equal to or higher than the set priority may be selected.
In an embodiment of the present application, after determining the set a, the server may sort the employee numbers in the set respectively according to the average time for processing each task and the percentage of return modification, and determine the target employee number that meets the task weight parameter from the set of employees. For example, the task spends the average time and returns to modify the percentage parameter configuration weight ratio, and the allocation parameter determined according to the task attribute is configured. For example, for a task with a high priority, the average time spent by the task is weighted more than the return modification percentage, and then a staff with a reasonable average time spent by the task is selected. If the qualified staff form the subset B, the server can further remove the staff with the current task number larger than the average task number completed every day according to the current real-time task condition of the user until the current qualified unique staff number is obtained. And finally, the server can distribute the tasks to the personal queue list corresponding to the employee number.
And S360, distributing the tasks to the terminal equipment corresponding to the target employee number. For example, after the unique employee number is determined, the task is dispatched to an employee queue to wait for processing, and when the processing time is up, the task is sent to the terminal device corresponding to the employee, so that the employee can process the task in time.
According to the task allocation method, the allocation rules are optimized based on the tasks of the document business and the human resource condition of the document center, the tasks are automatically allocated to proper resources according to different dimensions, the business processing efficiency is improved, and the resource allocation is optimized.
Referring to fig. 5, fig. 5 is a schematic structural diagram illustrating a task assigning apparatus according to an embodiment of the present application, and as shown in fig. 5, the apparatus includes:
an obtaining module 520, configured to obtain a task corresponding to a document service;
the identification module 510 is configured to identify basic information of the task, where the basic information at least includes attributes of a mechanism to which the task belongs, task attributes of a post, and a weight parameter and an allocation parameter determined based on at least the attributes of the mechanism and the task attributes of the post;
a processing module 530 configured to determine a document processing mechanism for processing the task based on the mechanism attribute and the task attribute;
the processing module 530 is used for acquiring user evaluation information corresponding to employees with employee numbers in the document processing mechanism and determining target employee numbers according with the weight parameters and the distribution parameters according to the user evaluation information;
and the communication module 540 is used for distributing the tasks to the terminal devices corresponding to the target employee numbers.
According to the electronic equipment provided by the embodiment of the application, the allocation rule is optimized based on the task of the document business and the human resource condition of the document center, the task is automatically allocated to the appropriate resource, the business processing efficiency is improved, and the resource allocation is optimized.
According to one embodiment of the present application, the mechanism attributes include a concentration type mechanism and a dispersion type mechanism.
According to one embodiment of the application, the task attributes include a post attribute and a client attribute, wherein the post attribute includes an attestation service, a modification service, a receipt service, an audit service, or a payment service, and the client attribute includes an individual client and an institutional client.
According to one embodiment of the present application, the user evaluation information includes: one or more of a user's evaluation of employee business preferences, an average time an employee processes each task, a percentage of return modifications, an average number of tasks processed a single day, and a number of tasks that have currently been assigned.
According to one embodiment of the application, the business preferences include a preference for handling agency business, a preference for handling individual customer business, or a preference for handling agency business and individual customer business,
the processing module 530 is configured to compare the employee business preference with parameters of a desired preference mechanism, a preferred individual customer, or a preference of both among the assignment parameters of the tasks, and determine a set of employee numbers that meet the assignment parameters;
the processing module 530 is configured to sort the employee numbers in the set according to the average time for processing each task and the percentage of return modification, and determine a target employee number that meets the task weight parameter from the set of employees.
According to an embodiment of the present application, when the business preference is compared to the assignment parameter of the task, the processing module 530 is configured to add the employee number corresponding to the employee having the business preference greater than or equal to the assignment parameter into the set according to a preference that the priority of processing the organization business and the personal customer business is greater than the priority of the organization business.
According to an embodiment of the present application, the processing module 530 is configured to set a weight parameter corresponding to an average time for processing each task to be higher than a weight parameter corresponding to a percentage of the fallback modification.
According to an embodiment of the present application, when a first subset including a plurality of employee numbers is determined from the set of employees, the processing module 530 eliminates employee numbers corresponding to the number of tasks that have been currently assigned that is greater than the average number of tasks that have been currently assigned on a single day, based on the average number of tasks that have been currently assigned and the number of tasks that have been currently assigned, until a target employee number is determined.
Since the functions and the working processes of the modules of the electronic device are described in detail in the method of the embodiment of fig. 3 and 4, reference may be made to the description of the method process of the embodiment. And will not be described in detail herein.
The present application further provides an electronic device, comprising:
a memory for storing instructions for execution by one or more processors of the device, an
A processor for performing the method explained in the above embodiments in connection with fig. 3 and 4.
The present application also provides a computer-readable storage medium, in which a computer program is stored, which, when executed by a processor, causes the processor to perform the method explained in fig. 3 to 4 in the above embodiments.
The present application also provides a computer program product comprising instructions which, when run on an electronic device, cause a processor to perform the method of fig. 3 and 4 in the above embodiments.
Referring now to FIG. 6, shown is a block diagram of an automatic task allocation device in accordance with one embodiment of the present application. Device 600 may include one or more processors 602, system control logic 608 coupled to at least one of processors 602, system memory 604 coupled to system control logic 608, non-volatile memory (NVM)606 coupled to system control logic 608, and network interface 610 coupled to system control logic 608.
In some embodiments, system control logic 608 may include any suitable interface controllers to provide any suitable interface to at least one of processors 602 and/or any suitable device or component in communication with system control logic 608.
In some embodiments, system control logic 608 may include one or more memory controllers to provide an interface to system memory 604. System memory 604 may be used to load and store data and/or instructions. Memory 604 of device 600 may comprise any suitable volatile memory in some embodiments, such as suitable Dynamic Random Access Memory (DRAM).
NVM/memory 606 may include one or more tangible, non-transitory computer-readable media for storing data and/or instructions. In some embodiments, the NVM/memory 606 may include any suitable non-volatile memory, such as flash memory, and/or any suitable non-volatile storage device, such as at least one of a HDD (Hard Disk Drive), CD (Compact Disc) Drive, DVD (Digital Versatile Disc) Drive.
NVM/memory 606 may comprise a portion of a storage resource installed on a device of device 600, or it may be accessible by, but not necessarily a part of, the device. For example, NVM/storage 606 may be accessed over a network via network interface 610.
In particular, system memory 604 and NVM/storage 606 may each include: a temporary copy and a permanent copy of instructions 620. The instructions 620 may include: instructions that, when executed by at least one of the processors 602, cause the apparatus 600 to perform the method as shown in fig. 3. In some embodiments, the instructions 620, hardware, firmware, and/or software components thereof may additionally/alternatively be disposed in the system control logic 608, the network interface 610, and/or the processor 602.
Network interface 610 may include a transceiver to provide a radio interface for device 600 to communicate with any other suitable device (e.g., front end module, antenna, etc.) over one or more networks. In some embodiments, the network interface 610 may be integrated with other components of the device 600. For example, the network interface 610 may be integrated with at least one of the processor 602, the system memory 604, the NVM/storage 606, and a firmware device (not shown) having instructions that, when executed by at least one of the processor 602, the device 600 implements one or more of the various embodiments shown in fig. 3-5.
The network interface 610 may further include any suitable hardware and/or firmware to provide a multiple-input multiple-output radio interface. For example, network interface 610 may be a network adapter, a wireless network adapter, a telephone modem, and/or a wireless modem.
In one embodiment, at least one of the processors 602 may be packaged together with logic for one or more controllers of system control logic 608 to form a System In Package (SiP). In one embodiment, at least one of processors 602 may be integrated on the same die with logic for one or more controllers of system control logic 608 to form a system on a chip (SoC).
The apparatus 600 may further comprise: input/output (I/O) devices 612. I/O device 612 may include a user interface to enable a user to interact with device 600; the design of the peripheral component interface enables peripheral components to also interact with the device 600. In some embodiments, the device 600 further comprises a sensor for determining at least one of environmental conditions and location information associated with the device 600.
In some embodiments, the user interface may include, but is not limited to, a display (e.g., a liquid crystal display, a touch screen display, etc.), a speaker, a microphone, one or more cameras (e.g., still image cameras and/or video cameras), a flashlight (e.g., a light emitting diode flash), and a keyboard.
In some embodiments, the peripheral component interfaces may include, but are not limited to, a non-volatile memory port, an audio jack, and a power interface.
In some embodiments, the sensors may include, but are not limited to, a gyroscope sensor, an accelerometer, a proximity sensor, an ambient light sensor, and a positioning unit. The positioning unit may also be part of the network interface 610 or interact with the network interface 610 to communicate with components of a positioning network, such as Global Positioning System (GPS) satellites.
It is to be understood that the illustrated structure of the embodiment of the present invention does not constitute a specific limitation to the automatic task assigning apparatus 600. In other embodiments of the present application, the automatic task assignment device 600 may include more or fewer components than shown, or combine certain components, or split certain components, or a different arrangement of components. The illustrated components may be implemented in hardware, software, or a combination of software and hardware.
Program code may be applied to input instructions to perform the functions described herein and generate output information. The output information may be applied to one or more output devices in a known manner. For purposes of this application, a processing system includes any system having a processor such as, for example, a Digital Signal Processor (DSP), a microcontroller, an Application Specific Integrated Circuit (ASIC), or a microprocessor.
The program code may be implemented in a high level procedural or object oriented programming language to communicate with a processing system. The program code can also be implemented in assembly or machine language, if desired. Indeed, the mechanisms described herein are not limited in scope to any particular programming language. In any case, the language may be a compiled or interpreted language.
One or more aspects of at least one embodiment may be implemented by representative instructions stored on a computer-readable storage medium, which represent various logic in a processor, which when read by a machine causes the machine to fabricate logic to perform the techniques described herein. These representations, known as "IP cores" may be stored on a tangible computer-readable storage medium and provided to a number of customers or manufacturing facilities to load into the manufacturing machines that actually make the logic or processor.
While the present application has been shown and described with reference to certain preferred embodiments thereof, it will be understood by those of ordinary skill in the art that various changes in form and details may be made therein without departing from the spirit and scope of the present application.
Claims (12)
1. A task allocation method is suitable for document business processing and is characterized by comprising the following steps:
acquiring a task corresponding to the document service;
identifying basic information of the task, wherein the basic information at least comprises attributes of mechanisms to which the task belongs, task attributes, and weight parameters and distribution parameters determined at least based on the attributes of the mechanisms and the task attributes;
determining a document processing mechanism for processing the task based on the mechanism attribute and the task attribute;
acquiring user evaluation information corresponding to the employee with the employee number in the document processing mechanism;
and determining the number of the target staff according with the weight parameter and the distribution parameter according to the user evaluation information, and distributing the task according to the number of the target staff.
2. The method of claim 1, wherein the mechanism attributes comprise a concentration type mechanism and a dispersion type mechanism.
3. The method of claim 1, wherein the task attributes comprise a post attribute and a customer attribute, wherein the post attribute comprises an attestation service, a modification service, a call to bill service, an audit service, or a payment service, and wherein the customer attributes comprise an individual customer and an institutional customer.
4. The method according to any one of claims 1 to 3, wherein the user rating information comprises: one or more of a user's evaluation of employee business preferences, an average time an employee processes each task, a percentage of return modifications, an average number of tasks processed a single day, and a number of tasks that have currently been assigned.
5. The method of claim 4, wherein the service preferences include a preference for handling of enterprise services, a preference for handling of individual customer services, or a preference for handling of both enterprise services and individual customer services,
determining the target employee number according with the weight parameter and the distribution parameter according to the user evaluation information, wherein the method comprises the following steps:
comparing the employee business preference with the parameters of a mechanism needing preference, a personal client preferring preference or a preference between the mechanism needing preference and the personal client preferring preference in the distribution parameters of the tasks, and determining a set of employee numbers according with the distribution parameters;
and respectively sequencing the employee numbers in the set according to the average time for processing each task and the percentage of the return modification, and determining the target employee number which accords with the task weight parameter from the employee set.
6. The method of claim 5, wherein when the business preference is compared to the assignment parameter for the task, the employee number corresponding to the employee having the business preference greater than or equal to the priority of the assignment parameter is added to the set in accordance with a preference for handling organizational and personal customer business being greater than personal customer business priority being greater than organizational business priority.
7. The method according to claim 5 or 6, characterized in that the weight parameter corresponding to the average time for processing each task is set to be higher than the weight parameter corresponding to the percentage of the retraction modification.
8. The method according to claim 5, wherein when a first subset comprising a plurality of employee numbers is determined from the set, based on the average number of single-day processing tasks and the number of tasks that have been currently assigned, employee numbers corresponding to tasks that have been currently assigned whose number is greater than the average number of single-day processing tasks are removed until a target employee number is determined.
9. A task assigning apparatus, comprising:
the acquisition module is used for acquiring tasks corresponding to the document services;
the identification module is used for identifying basic information of the task, wherein the basic information at least comprises attributes of mechanisms to which the task belongs, task attributes of posts, and weight parameters and distribution parameters determined at least based on the attributes of the mechanisms and the task attributes of the posts;
the processing module is used for determining the document processing mechanism for processing the task based on the mechanism attribute and the task attribute;
the processing module is used for acquiring user evaluation information corresponding to staff with staff numbers in the document processing mechanism, determining target staff numbers according with the weight parameters and the distribution parameters according to the user evaluation information, and distributing the tasks according to the target staff numbers.
10. An electronic device, comprising:
a memory to store instructions for execution by one or more processors of a device;
a processor configured to execute instructions to cause an electronic device to perform the method of any one of claims 1-8.
11. A computer-readable storage medium, characterized in that the computer-readable storage medium stores a computer program which, when executed by a processor, causes the processor to perform the method of any one of claims 1-8.
12. A computer program product comprising instructions for causing an electronic device to perform the method of any of claims 1-8 when the computer program product is run on the electronic device.
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