CN116894556B - Product production demand management method, device, equipment and storage medium - Google Patents

Product production demand management method, device, equipment and storage medium Download PDF

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CN116894556B
CN116894556B CN202310845697.1A CN202310845697A CN116894556B CN 116894556 B CN116894556 B CN 116894556B CN 202310845697 A CN202310845697 A CN 202310845697A CN 116894556 B CN116894556 B CN 116894556B
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CN116894556A (en
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倪李俊
张瑶
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Lemai Information Technology Hangzhou Co ltd
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Abstract

The application discloses a method, a device, equipment and a storage medium for managing production requirements of products, which relate to the field of management of the production requirements of the products and comprise the following steps: classifying the production requirements of the products according to preset classification dimensions to obtain classified production requirements; determining a post role and each requirement state which are consistent with the classified production requirements, and constructing a matching rule set which comprises the post role, the requirement state and tasks corresponding to the post role and the requirement state; determining a corresponding target post role for the production requirement to be processed based on the matching rule set, and associating a corresponding target task for the target post role according to the requirement state of the production requirement to be processed; determining an action event to be executed corresponding to the target task according to the target task associated with the target post role and the action execution authority of the target post role, and executing the action event to be executed through the target post role to complete the processing of the target task. Therefore, the application can effectively meet different management requirements and service scenes.

Description

Product production demand management method, device, equipment and storage medium
Technical Field
The present invention relates to the field of product production demand management, and in particular, to a method, an apparatus, a device, and a storage medium for product production demand management.
Background
The demand management system typically performs state change recording and task flow based on the life cycle of the demand. For example, a certain requirement has five basic stages of 'standing, designing, developing, testing and publishing online running', corresponding to seven states of 'standing, designing, developing, testing, publishing and publishing', and team division determines that each stage and state corresponds to different post personnel for processing. Integrating the existing demand management system, summarizing some of the problems that exist: the life cycle of the demand is predetermined when the demand management software is designed, and the demand management software cannot adapt to the more complex actual situation in the actual circulation process of the demand. The demand management software provides configurable items of demand lifecycle flows, but after the demand instance is established, i.e. after the lifecycle begins, the demand processing rules in reality cannot be considered and even the history is compatible when the demand processing rules are changed; it is common that existing instances cannot be compatible with new rules, but can only end up with the original rules. For example, a requirement of a previous year needs to be reviewed by a certain department, and a requirement of a next year is not needed due to policy change, and after rule change, the requirement of a previous year still cannot be executed according to a new rule in progress. The setting items of the requirement processing rules are relatively limited, so that complex requirement management flow in reality is difficult to meet; factors such as different attributes of the requirements, e.g., user input, priority of the requirements, and related modules, may be used as conditions for the requirements processing rules and even as output of the processes in the processing rules. The direct adoption of a state machine for demand lifecycle management appears to solve the problem, but a simple state machine model is ambiguous as to the way in which non-predefined states are handled. The user must want to force to change the state, which leads to the problems of data confusion, uncontrollable flow and the like. Therefore, a new demand management method is needed, which can realize dynamic rule change and multi-role multi-task automatic state management, and improve efficiency and accuracy.
Disclosure of Invention
Accordingly, the present invention is directed to a method, apparatus, device and storage medium for managing production requirements of a product, which can implement dynamic rule change and multi-role and multi-task automatic state management, thereby improving efficiency and accuracy. The specific scheme is as follows:
in a first aspect, the application discloses a method for managing production requirements of a product, comprising the following steps:
Classifying the production requirements of the products according to preset classification dimensions to obtain classified production requirements;
Determining a post role corresponding to the classified production requirement and each requirement state corresponding to the classified production requirement, and constructing a matching rule set containing the post role, the requirement state and tasks corresponding to the post role and the requirement state;
determining a corresponding target post role for the production requirement to be processed based on the matching rule set, and associating a corresponding target task for the target post role according to the requirement state of the production requirement to be processed;
Determining an action event to be executed corresponding to the target task according to the target task associated with the target position role and the action execution authority of the target position role, and executing the action event to be executed through the target position role to complete the processing of the target task.
Optionally, the preset classification dimension includes three dimensions of a production line of product production, a module under the production line, and a type of the product production requirement.
Optionally, before determining the corresponding target post role for the production requirement to be processed based on the matching rule set, the method further includes:
Defining a state machine model to determine the corresponding demand state of the production demand to be processed at a target time.
Optionally, the method further comprises:
creating new production requirements based on the action execution permission of the target post role, and filling target fields in a form based on the new production requirements and form problems which are required to be determined in the matching rule set and correspond to the production requirements to be processed.
Optionally, the method further comprises:
And changing the demand state of the production demand to be processed based on the action execution permission of the target post role, and modifying the corresponding target field in the form corresponding to the production demand to be processed based on the changed demand state.
Optionally, the executing the action event to be executed by the target post role to complete the processing of the target task includes:
Analyzing the execution information of the action event to be executed in the execution time phase according to a preset analysis rule to obtain an analysis result; the execution information comprises the demand state of the production demand to be processed, the demand state after change, the target field in the form and the target post role;
Determining a target action execution plan which corresponds to the action event to be executed and meets preset conditions based on the analysis result;
and executing the action event to be executed based on the target action execution plan through the target post role so as to complete the processing of the target task.
Optionally, in the process of executing the action event to be executed based on the target action execution plan by the target post role, the method further includes:
and if the demand state of the production demand to be processed corresponding to the action event to be executed is changed, re-jumping to the step of analyzing the execution information when the action event to be executed is executed according to a preset analysis rule.
In a second aspect, the present application discloses a product production demand management apparatus comprising:
the production demand classification module is used for classifying the production demands of the products according to preset classification dimensions to obtain classified production demands;
the rule set construction module is used for determining a post role conforming to the classified production requirement and each requirement state corresponding to the classified production requirement, and constructing a matching rule set comprising the post role, the requirement state and tasks corresponding to the post role and the requirement state;
The task association module is used for determining a corresponding target post role for the production requirement to be processed based on the matching rule set, and associating a corresponding target task for the target post role according to the requirement state of the production requirement to be processed;
And the task processing module is used for determining an action event to be executed corresponding to the target task according to the target task associated with the target position role and the action execution authority of the target position role, and executing the action event to be executed through the target position role so as to complete the processing of the target task.
In a third aspect, the present application discloses an electronic device, comprising:
A memory for storing a computer program;
A processor for executing the computer program to implement the steps of the product production demand management method disclosed above.
In a fourth aspect, the present application discloses a computer-readable storage medium for storing a computer program; wherein the computer program when executed by a processor implements the steps of the product production demand management method disclosed above.
As can be seen from the above, when the application manages the production requirements of the product, the production requirements of the product are classified according to the preset classification dimension to obtain the classified production requirements; determining a post role corresponding to the classified production requirement and each requirement state corresponding to the classified production requirement, and constructing a matching rule set containing the post role, the requirement state and tasks corresponding to the post role and the requirement state; determining a corresponding target post role for the production requirement to be processed based on the matching rule set, and associating a corresponding target task for the target post role according to the requirement state of the production requirement to be processed; determining an action event to be executed corresponding to the target task according to the target task associated with the target position role and the action execution authority of the target position role, and executing the action event to be executed through the target position role to complete the processing of the target task. It can be seen that the present application improves on the conventional design of representing the life cycle of the demand with a state machine, implements state rotation in the life cycle of the demand using a rule design set based on event driving, and provides an adaptive mechanism for the real environment, thereby improving the flexibility and efficiency of demand management. By using event driving, corresponding execution plans are matched according to different event types, different form data and other conditions, and different requirement state changes and task processing flows of automatic processing are realized; and classifying the requirements, classifying different requirements into corresponding rule design sets, defining available roles, tasks, form problems and states, and realizing flexibility and controllability of requirement management. Allowing the corresponding rules to be changed during the demand lifecycle operation and compatible with the states that are no longer defined. This means that dynamic adjustment and optimization can be performed according to actual conditions, and flexibility and adaptability of demand management are improved; therefore, different management requirements and business scenes can be effectively met, the production efficiency and management level inside an enterprise are improved, and the development of the enterprise is positively promoted.
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In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings that are required to be used in the embodiments or the description of the prior art will be briefly described below, and it is obvious that the drawings in the following description are only embodiments of the present invention, and that other drawings can be obtained according to the provided drawings without inventive effort for a person skilled in the art.
FIG. 1 is a flow chart of a method for managing production requirements of a product according to the present disclosure;
FIG. 2 is a schematic diagram of a product production demand management apparatus according to the present application;
fig. 3 is a structural diagram of an electronic device according to the present application.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Prior art demand management systems typically conduct state change records and task flows based on the life cycle of the demand. For example, a certain requirement has five basic stages of 'standing, designing, developing, testing and publishing online running', corresponding to seven states of 'standing, designing, developing, testing, publishing and publishing', and team division determines that each stage and state corresponds to different post personnel for processing. The direct adoption of a state machine for demand lifecycle management appears to solve the problem, but a simple state machine model is ambiguous as to the way in which non-predefined states are handled. The user must want to force to change the state, which leads to the problems of data confusion, uncontrollable flow and the like. In order to solve the problems, the application discloses a product production demand management method which can realize dynamic rule change and multi-role multi-task automatic state management and improve efficiency and accuracy.
Referring to fig. 1, the embodiment of the invention discloses a method for managing production requirements of a product, which comprises the following steps:
And S11, classifying the production requirements of the products according to preset classification dimensions to obtain classified production requirements.
In this embodiment, the product production requirements are classified according to preset classification dimensions, where the preset classification dimensions include three dimensions of a production line of product production, a module under the production line, and a type of the product production requirements. Thus, the differentiated management of different types of requirements can be realized. Suppose that users have been grouped by production line and assigned posts by role within the group. The method and the system enable the whole demand management process to be more detailed and orderly, reduce unnecessary communication and coordination cost and ensure orderly progress of the whole demand management process, so that team members can know the classification and processing process of the demand more clearly.
Step S12, determining a post role corresponding to the classified production requirement and each requirement state corresponding to the classified production requirement, and constructing a matching rule set containing the post role, the requirement state and tasks corresponding to the post role and the requirement state.
In this embodiment, after the requirements are classified according to three dimensions of "production line, module, and type", a matching rule set is corresponding, that is, a post role corresponding to the classified production requirements and each requirement state corresponding to the classified production requirements are to be determined, a matching rule set including the post role, the requirement state, and tasks corresponding to the post role and the requirement state is constructed, and all available roles, all tasks, all form problems and all defined states are generally defined in the matching rule set. Therefore, definition of all rules can be ensured to be clear, requirements are classified, different requirements are classified into corresponding rule design sets, available roles, tasks, form problems and states are defined, and flexibility and controllability of requirement management are realized. Wherein, for the relation of the form problem, the rule configuration function with high customization is realized. According to different events of different tasks or different forms designed at different stages, a user can flexibly configure diversified change rules. This flexibility allows for more refined and flexible management of state changes, meeting different types of management needs. Meanwhile, the expandability of the scheme also ensures that new rule configuration requirements can be easily adapted in future development.
And step S13, determining a corresponding target post role for the production requirement to be processed based on the matching rule set, and associating a corresponding target task for the target post role according to the requirement state of the production requirement to be processed.
In this embodiment, before determining the corresponding target post role for the production requirement to be processed based on the matching rule set, the method further includes: defining a state machine model to determine the corresponding demand state of the production demand to be processed at a target time. It is guaranteed that a certain demand has only one state at a time. And then, determining a corresponding target post role for the production requirement to be processed based on the matching rule set, and associating a corresponding target task for the target post role according to the requirement state of the production requirement to be processed. In a requirement, at a specific moment, in a specific state, different post roles are associated with 0 or a plurality of tasks according to rules. Therefore, different post roles can only see one task state at the same time, and different roles have tasks belonging to the roles in the current state.
Step S14, determining an action event to be executed corresponding to the target task according to the target task associated with the target position role and the action execution authority of the target position role, and executing the action event to be executed through the target position role so as to complete the processing of the target task.
In this embodiment, the target post role may create a new production requirement based on the action execution authority, and fill in a target field in a form based on the new production requirement and a form problem corresponding to the to-be-processed production requirement that needs to be determined in the matching rule set. The demand state of the production demand to be processed can be changed based on the action execution permission of the target post role, and corresponding target fields in the form corresponding to the production demand to be processed can be modified based on the changed demand state. That is, the present application allows for dynamic adjustment of the rules corresponding to changes during the life cycle of the demand and compatibility with states that are no longer defined. The administrator can continuously optimize, adjust and perfect rules, and the data can not be confused and the flow is controllable in the changing process; the whole rule changing process is more flexible and reliable. The flexibility enables the system to adapt to the change of service demands in time, and response speed and flexibility are improved. And processing action events to be executed (start, pause, finish and cancel of tasks) corresponding to the target task according to the matching rule set based on the action execution authority of the target post role, wherein the action events comprise necessary fields in a filling form. The actions, such as creating the requirement, forcibly changing the state, and processing the task allocated to the requirement, all constitute an action event to be executed, and the matching rule set can configure corresponding rules and corresponding action execution plans for the action event to be executed. The actions supported include "create task, cancel task, change state of demand". Wherein the types of events to be performed include:
the creation of a new requirement by CREATE means the creation of a new state machine instance, at which time this event occurs;
FORCE CHANGE STATUS (e.g., manual CHANGE by an administrator);
the dealtask START user clicks on the START TASK;
the dead_task_pause user clicks on the PAUSE TASK;
The DEAL_TASK_COMPLETE user clicks to finish the TASK;
The dealtask CANCEL user clicks on the CANCEL TASK;
Auto_change_status automatically CHANGEs state (e.g., derivative effect of task).
Thus, the present application establishes an event-driven rule-based mechanism that includes event types such as forced change state, user click start/pause/complete/cancel tasks, and automatic change state. The mechanism can control various state changes in the whole demand management process more finely, improves the stability and reliability of the system, and ensures the accuracy and consistency of state change.
And finally, executing the action event to be executed through the target post role so as to finish the processing of the target task.
As can be seen from the above, when the application manages the production requirements of the product, the production requirements of the product are classified according to the preset classification dimension to obtain the classified production requirements; determining a post role corresponding to the classified production requirement and each requirement state corresponding to the classified production requirement, and constructing a matching rule set containing the post role, the requirement state and tasks corresponding to the post role and the requirement state; determining a corresponding target post role for the production requirement to be processed based on the matching rule set, and associating a corresponding target task for the target post role according to the requirement state of the production requirement to be processed; determining an action event to be executed corresponding to the target task according to the target task associated with the target position role and the action execution authority of the target position role, and executing the action event to be executed through the target position role to complete the processing of the target task. It can be seen that the present application improves on the conventional design of representing the life cycle of the demand with a state machine, implements state rotation in the life cycle of the demand using a rule design set based on event driving, and provides an adaptive mechanism for the real environment, thereby improving the flexibility and efficiency of demand management. By using event driving, corresponding execution plans are matched according to different event types, different form data and other conditions, and different requirement state changes and task processing flows of automatic processing are realized; and classifying the requirements, classifying different requirements into corresponding rule design sets, defining available roles, tasks, form problems and states, and realizing flexibility and controllability of requirement management. Allowing the corresponding rules to be changed during the demand lifecycle operation and compatible with the states that are no longer defined. This means that dynamic adjustment and optimization can be performed according to actual conditions, and flexibility and adaptability of demand management are improved; therefore, different management requirements and business scenes can be effectively met, the production efficiency and management level inside an enterprise are improved, and the development of the enterprise is positively promoted.
The embodiment of the invention discloses a specific product production demand management method, which comprises the following steps:
when the action event to be executed is executed through the target post role to finish the processing of the target task, the execution information of the action event to be executed when the action event to be executed is required to be analyzed according to a preset analysis rule, and an analysis result is obtained; the execution information comprises the demand state of the production demand to be processed, the demand state after change, the target field in the form and the target post role; determining a target action execution plan which corresponds to the action event to be executed and meets preset conditions based on the analysis result; and executing the action event to be executed based on the target action execution plan through the target post role so as to complete the processing of the target task. Or attempt to find a set of action execution plans that can be executed, and if so.
In addition, in the process of executing the action event to be executed based on the target action execution plan through the target post role, the method further comprises the following steps: and if the demand state of the production demand to be processed corresponding to the action event to be executed is changed, re-jumping to the step of analyzing the execution information when the action event to be executed is executed according to a preset analysis rule. That is, in the execution of the action execution plan, an event (for example, a state change) may be derived according to the actual execution situation, and at this time, the execution information of the action event to be executed needs to be analyzed again to redetermine a new execution plan. In this way, the application can perform more efficient execution plan matching, and match the corresponding execution plan according to the routing rule, including creating task, canceling task, changing state, etc. The optimization measure can be more efficiently matched with the execution plan, the running time of the system is reduced, the efficiency of the whole system is improved, and the performance and the user experience of the system are improved to the greatest extent. The application allows the forced state change event to be caused by special operation to process undefined states and unexpected conditions in the processing requirement states, and avoids the process from being in an error or abnormal state, thereby having faster emergency response capability, ensuring the stable reliability of the system and ensuring the safety and controllability of the whole state change process.
According to the application, the corresponding execution plan is matched according to the conditions of different event types, different form data and the like by using event driving, so that the automatic processing of different requirement state changes and task processing flows is realized, dynamic adjustment and optimization can be performed according to actual conditions, and the flexibility and adaptability of requirement management are improved.
Referring to fig. 2, an embodiment of the present invention discloses a product production demand management apparatus, including:
The production demand classification module 11 is configured to classify production demands of products according to preset classification dimensions, and obtain classified production demands;
A rule set construction module 12, configured to determine a post role corresponding to the categorized production requirement and each requirement state corresponding to the categorized production requirement, and construct a matching rule set including the post role, the requirement state, and tasks corresponding to the post role and the requirement state;
The task association module 13 is configured to determine a corresponding target post role for a production requirement to be processed based on the matching rule set, and associate a corresponding target task for the target post role according to a requirement state of the production requirement to be processed;
The task processing module 14 is configured to determine an action event to be executed corresponding to the target task according to the target task associated with the target position role and the action execution authority of the target position role, and execute the action event to be executed through the target position role, so as to complete processing of the target task.
As can be seen from the above, when the application manages the production requirements of the product, the production requirements of the product are classified according to the preset classification dimension to obtain the classified production requirements; determining a post role corresponding to the classified production requirement and each requirement state corresponding to the classified production requirement, and constructing a matching rule set containing the post role, the requirement state and tasks corresponding to the post role and the requirement state; determining a corresponding target post role for the production requirement to be processed based on the matching rule set, and associating a corresponding target task for the target post role according to the requirement state of the production requirement to be processed; determining an action event to be executed corresponding to the target task according to the target task associated with the target position role and the action execution authority of the target position role, and executing the action event to be executed through the target position role to complete the processing of the target task. It can be seen that the present application improves on the conventional design of representing the life cycle of the demand with a state machine, implements state rotation in the life cycle of the demand using a rule design set based on event driving, and provides an adaptive mechanism for the real environment, thereby improving the flexibility and efficiency of demand management. By using event driving, corresponding execution plans are matched according to different event types, different form data and other conditions, and different requirement state changes and task processing flows of automatic processing are realized; and classifying the requirements, classifying different requirements into corresponding rule design sets, defining available roles, tasks, form problems and states, and realizing flexibility and controllability of requirement management. Allowing the corresponding rules to be changed during the demand lifecycle operation and compatible with the states that are no longer defined. This means that dynamic adjustment and optimization can be performed according to actual conditions, and flexibility and adaptability of demand management are improved; therefore, different management requirements and business scenes can be effectively met, the production efficiency and management level inside an enterprise are improved, and the development of the enterprise is positively promoted.
In some specific embodiments, the rule set construction module 12 may further include:
The state machine model definition unit is used for defining a state machine model to determine the corresponding demand state of the production demand to be processed at the target time.
In some specific embodiments, the apparatus may further include:
The new production requirement creating module is used for creating new production requirements based on the action execution authority of the target post role, and filling target fields in a form based on the new production requirements and form problems which are required to be determined in advance and correspond to the production requirements to be processed in the matching rule set.
In some specific embodiments, the apparatus may further include:
The demand state changing module is used for changing the demand state of the production demand to be processed based on the action execution permission of the target post role, and modifying the corresponding target field in the form corresponding to the production demand to be processed based on the changed demand state.
In some specific embodiments, the task processing module 14 may specifically include:
The analysis result acquisition unit is used for analyzing the execution information of the execution time phase of the action event to be executed according to a preset analysis rule to acquire an analysis result; the execution information comprises the demand state of the production demand to be processed, the demand state after change, the target field in the form and the target post role;
An action execution plan determining unit, configured to determine a target action execution plan corresponding to the action event to be executed, where the target action execution plan meets a preset condition, based on the analysis result;
And the task processing unit is used for executing the action event to be executed based on the target action execution plan through the target post role so as to complete the processing of the target task.
In some specific embodiments, the task processing module 14 may further include:
and the jump unit is used for re-jumping to the step of analyzing the corresponding execution information when the action event to be executed is executed according to a preset analysis rule if the demand state of the production demand to be processed corresponding to the action event to be executed is changed.
Further, the embodiment of the present application further discloses an electronic device, and fig. 3 is a block diagram of an electronic device 20 according to an exemplary embodiment, where the content of the figure is not to be considered as any limitation on the scope of use of the present application.
Fig. 3 is a schematic structural diagram of an electronic device 20 according to an embodiment of the present application. The electronic device 20 may specifically include: at least one processor 21, at least one memory 22, a power supply 23, a communication interface 24, an input output interface 25, and a communication bus 26. Wherein the memory 22 is used for storing a computer program, which is loaded and executed by the processor 21 to implement the relevant steps in the product production demand management method disclosed in any of the foregoing embodiments. In addition, the electronic device 20 in the present embodiment may be specifically an electronic computer.
In this embodiment, the power supply 23 is configured to provide an operating voltage for each hardware device on the electronic device 20; the communication interface 24 can create a data transmission channel between the electronic device 20 and an external device, and the communication protocol to be followed is any communication protocol applicable to the technical solution of the present application, which is not specifically limited herein; the input/output interface 25 is used for acquiring external input data or outputting external output data, and the specific interface type thereof may be selected according to the specific application requirement, which is not limited herein.
The memory 22 may be a carrier for storing resources, such as a read-only memory, a random access memory, a magnetic disk, or an optical disk, and the resources stored thereon may include an operating system 221, a computer program 222, and the like, and the storage may be temporary storage or permanent storage.
The operating system 221 is used for managing and controlling various hardware devices on the electronic device 20 and the computer program 222, which may be Windows Server, netware, unix, linux, etc. The computer program 222 may further include a computer program that can be used to perform other specific tasks in addition to the computer program that can be used to perform the product manufacturing requirement management method performed by the electronic device 20 as disclosed in any of the previous embodiments.
Further, the application also discloses a computer readable storage medium for storing a computer program; wherein the computer program, when executed by a processor, implements the product production demand management method disclosed previously. For specific steps of the method, reference may be made to the corresponding contents disclosed in the foregoing embodiments, and no further description is given here.
In this specification, each embodiment is described in a progressive manner, and each embodiment is mainly described in a different point from other embodiments, so that the same or similar parts between the embodiments are referred to each other. For the device disclosed in the embodiment, since it corresponds to the method disclosed in the embodiment, the description is relatively simple, and the relevant points refer to the description of the method section.
Those of skill would further appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, computer software, or combinations of both, and that the various illustrative elements and steps are described above generally in terms of functionality in order to clearly illustrate 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 solution. 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 application.
The steps of a method or algorithm described in connection with the embodiments disclosed herein may be embodied directly in hardware, in a software module executed by a processor, or in a combination of the two. The software modules may be disposed in Random Access Memory (RAM), memory, read Only Memory (ROM), electrically programmable ROM, electrically erasable programmable ROM, registers, hard disk, a removable disk, a CD-ROM, or any other form of storage medium known in the art.
Finally, it is further noted that relational terms such as first and second, and the like are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Moreover, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.
The foregoing has outlined rather broadly the more detailed description of the application in order that the detailed description of the application that follows may be better understood, and in order that the present principles and embodiments may be better understood; meanwhile, as those skilled in the art will have variations in the specific embodiments and application scope in accordance with the ideas of the present application, the present description should not be construed as limiting the present application in view of the above.

Claims (6)

1. A method of product production demand management comprising:
Classifying the production requirements of the products according to preset classification dimensions to obtain classified production requirements;
Determining a post role corresponding to the classified production requirement and each requirement state corresponding to the classified production requirement, and constructing a matching rule set containing the post role, the requirement state and tasks corresponding to the post role and the requirement state;
determining a corresponding target post role for the production requirement to be processed based on the matching rule set, and associating a corresponding target task for the target post role according to the requirement state of the production requirement to be processed;
determining an action event to be executed corresponding to the target task according to the target task associated with the target position role and the action execution authority of the target position role, and executing the action event to be executed through the target position role to complete the processing of the target task;
the method further comprises the steps of:
Creating new production requirements based on the action execution permission of the target post role, and filling target fields in a form based on the new production requirements and form problems which are required to be determined in the matching rule set and correspond to the production requirements to be processed;
Changing the demand state of the production demand to be processed based on the action execution permission of the target post role, and modifying a corresponding target field in the form corresponding to the production demand to be processed based on the changed demand state;
the executing the action event to be executed by the target post role to complete the processing of the target task comprises the following steps:
Analyzing the execution information of the action event to be executed in the execution time phase according to a preset analysis rule to obtain an analysis result; the execution information comprises the demand state of the production demand to be processed, the demand state after change, the target field in the form and the target post role;
Determining a target action execution plan which corresponds to the action event to be executed and meets preset conditions based on the analysis result;
Executing the action event to be executed based on the target action execution plan through the target post role so as to complete the processing of the target task;
And in the process of executing the action event to be executed based on the target action execution plan through the target post role, the method further comprises the following steps:
and if the demand state of the production demand to be processed corresponding to the action event to be executed is changed, re-jumping to the step of analyzing the execution information when the action event to be executed is executed according to a preset analysis rule.
2. The method of claim 1, wherein the predetermined classification dimensions include three dimensions of a line of product production, a module under the line, and a type of the product production requirement.
3. The method of claim 1, wherein before determining the corresponding target post roles for the production needs to be processed based on the matching rule set, further comprising:
Defining a state machine model to determine the corresponding demand state of the production demand to be processed at a target time.
4. A product production demand management apparatus, comprising:
the production demand classification module is used for classifying the production demands of the products according to preset classification dimensions to obtain classified production demands;
the rule set construction module is used for determining a post role conforming to the classified production requirement and each requirement state corresponding to the classified production requirement, and constructing a matching rule set comprising the post role, the requirement state and tasks corresponding to the post role and the requirement state;
The task association module is used for determining a corresponding target post role for the production requirement to be processed based on the matching rule set, and associating a corresponding target task for the target post role according to the requirement state of the production requirement to be processed;
The task processing module is used for determining an action event to be executed corresponding to the target task according to the target task associated with the target position role and the action execution authority of the target position role, and executing the action event to be executed through the target position role so as to complete the processing of the target task;
the device further comprises:
The new production demand creation module is used for creating new production demands based on the action execution permission of the target post role, filling target fields in a form based on the new production demands and form problems which are required to be determined in the matching rule set and correspond to the production demands to be processed;
The demand state changing module is used for changing the demand state of the production demand to be processed based on the action execution permission of the target post role, and modifying the corresponding target field in the form corresponding to the production demand to be processed based on the changed demand state;
The task processing module specifically comprises:
The analysis result acquisition unit is used for analyzing the execution information of the execution time phase of the action event to be executed according to a preset analysis rule to acquire an analysis result; the execution information comprises the demand state of the production demand to be processed, the demand state after change, the target field in the form and the target post role;
An action execution plan determining unit, configured to determine a target action execution plan corresponding to the action event to be executed, where the target action execution plan meets a preset condition, based on the analysis result;
The task processing unit is used for executing the action event to be executed based on the target action execution plan through the target post role so as to complete the processing of the target task;
the task processing module further includes:
and the jump unit is used for re-jumping to the step of analyzing the corresponding execution information when the action event to be executed is executed according to a preset analysis rule if the demand state of the production demand to be processed corresponding to the action event to be executed is changed.
5. An electronic device, comprising:
A memory for storing a computer program;
A processor for executing the computer program to implement the steps of the product production demand management method as claimed in any one of claims 1 to 3.
6. A computer-readable storage medium storing a computer program; wherein the computer program when executed by a processor implements the steps of the product production demand management method of any one of claims 1 to 3.
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