CN117540940A - Enterprise ERP plan management method, system, electronic equipment and storage medium - Google Patents
Enterprise ERP plan management method, system, electronic equipment and storage medium Download PDFInfo
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Abstract
The application relates to an enterprise ERP plan management method, an enterprise ERP plan management system, electronic equipment and a storage medium, which belong to the technical field of ERP management, wherein the method comprises the steps of obtaining an order plan request sent by a first user, wherein the order plan request carries commodity identifications and corresponding commodity demand; estimating and obtaining commodity simulation stock corresponding to the commodity identification based on prestored commodity stock; if the commodity demand exceeds the commodity simulation stock, sending a prompt message of excessive orders to the first user; otherwise, acquiring a prestored responsible person identifier associated with the commodity identifier; generating a commodity planning allocation table based on the commodity identification, the commodity demand and the responsible person identification; and sending the commodity planning allocation table to the first user. The method and the device have the advantages that inventory reasonable clearing and production personnel quick pairing are facilitated for a plan made by a user.
Description
Technical Field
The present disclosure relates to the technical field of ERP management, and in particular, to a method, a system, an electronic device, and a storage medium for enterprise ERP planning management.
Background
With the popularization of the ERP system, enterprise management staff can digitally manage the resources of the enterprise by using the ERP system. Wherein the resources include at least material resources, funds resources and information resources.
In the related art, an enterprise manager may input a code (i.e., a commodity identifier) and a corresponding number (i.e., a commodity inventory) of inventory commodities in the enterprise into the ERP system, and when a manager of the enterprise needs to make an order plan for the next week or the next month, the inventory of each commodity is determined to meet the requirement of the order plan by using each commodity identifier and the corresponding commodity inventory which are already input into the ERP system.
In carrying out the present application, the inventors have found that at least the following problems exist in this technology:
when the types of commodities in the formulated order plan are more, the enterprise manager is required to compare the inventory of each commodity with the demand in the order plan one by one, the process is more complicated, and the workload of the enterprise manager is further increased.
Disclosure of Invention
In order to solve the problem that the workload of enterprise management personnel is large because of the need of comparing one by one when the varieties of commodities in order planning are large, the application provides an enterprise ERP planning management method, an enterprise ERP planning management system, electronic equipment and a storage medium.
In a first aspect, the present application provides an enterprise ERP planning management method, which adopts the following technical scheme:
an enterprise ERP planning management method, comprising:
acquiring an order planning request sent by a first user, wherein the order planning request carries a commodity identifier and a corresponding commodity demand;
estimating and obtaining commodity simulation stock corresponding to the commodity identification based on prestored commodity stock;
if the commodity demand exceeds the commodity simulation stock, sending a prompt message of excessive orders to the first user;
otherwise, acquiring a prestored responsible person identifier associated with the commodity identifier;
generating a commodity planning allocation table based on the commodity identification, the commodity demand and the responsible person identification;
and sending the commodity planning allocation table to the first user.
Through the technical scheme, when the order planning request sent by a certain user is acquired, the acquired demand of all commodities and the estimated simulation stock can be compared one by one, so that whether the demand exceeds or not is determined, the process that enterprise management personnel need to compare one by one is reduced, and the working efficiency of the enterprise management personnel is improved. And under the condition that the commodity demand does not exceed the commodity simulation stock, determining the associated responsible person identification, and generating a corresponding commodity planning distribution table so as to be fed back to enterprise management personnel, so that the enterprise management personnel can determine corresponding production personnel or distribution personnel according to the commodity planning distribution table.
In a specific embodiment, the commodity stock quantity at least includes a commodity reserve quantity and a raw material reserve quantity corresponding to the commodity identifier;
the commodity simulation stock corresponding to the commodity identification is estimated based on the prestored commodity stock, and the method comprises the following steps:
obtaining prestored production information corresponding to the commodity identification, wherein the production information comprises production personnel, corresponding personnel quantity and personnel qualification;
according to the production information and the raw material reserve quantity, estimating to obtain raw material simulation reserve quantity;
and calculating to obtain the commodity simulation stock corresponding to the commodity identification based on the commodity stock and the raw material stock.
By adopting the technical scheme, the output corresponding to the commodity identification can be determined according to the production personnel, the corresponding personnel quantity and personnel qualification. The output and the stock of raw materials obtained from the production information can be estimated to be the corresponding simulated stock of raw materials. Through commodity reserve and raw materials reserve, can obtain more accurate commodity simulation stock, and then improve the accuracy of judging whether the demand exceeds.
In a specific implementation manner, the order plan request also carries the estimated warehouse-out time corresponding to each commodity identifier;
the raw material simulation stock is estimated according to the production information and the raw material stock, and the method comprises the following steps:
acquiring a pre-stored raw material proportioning table associated with the commodity identification;
calculating according to the raw material reserve amount and the raw material proportioning table to obtain rated output;
determining a predicted throughput to the predicted warehouse time based on the production information and the nominal throughput;
and according to the expected output, estimating and obtaining the raw material simulation stock.
By adopting the technical scheme, as the storage amount of each raw material has deviation, the rated output of a certain commodity is required to be determined according to the raw material proportioning table, and then the expected output is determined according to the rated output and the production information, so that the possibility of error of the obtained raw material simulation storage amount caused by the shortage of a certain raw material is effectively reduced, and the more accurate raw material simulation storage amount is further obtained.
In a specific embodiment, the method further comprises:
acquiring a raw material updating request sent by a second user in real time, wherein the raw material updating request carries raw material warehousing information, and the raw material warehousing information comprises a raw material identifier, raw material warehousing quantity and raw material warehousing time;
determining a risk level corresponding to the second user according to a pre-stored user risk warehousing table;
if the risk level of the second user does not exceed a preset risk threshold, updating the associated target raw material reserve based on the raw material warehouse-in information;
otherwise, updating the raw material warehouse-in information into a preset warehouse-in log;
and when a raw material confirmation request which is sent by a third user and aims at the raw material warehousing information is acquired, and the risk level of the third user exceeds a preset risk threshold, updating the raw material warehousing information from the warehousing log to the target raw material reserve.
By adopting the technical scheme, because the scales of the suppliers are different, raw materials of some suppliers are difficult to supply in a specified time, raw material warehouse-in information of the suppliers with risks is temporarily stored in a warehouse-in log through a preset user risk warehouse-in table, and when a raw material confirmation request of a user with higher risk level for the raw material warehouse-in information is acquired, the raw material warehouse-in information is updated into a target raw material reserve, so that the possibility of errors in the obtained raw material simulation stock caused by the fact that the raw material of one supplier is not supplied timely is further reduced.
In a specific embodiment, after said sending the merchandise plan distribution table to the first user, the method further comprises:
when receiving confirmation information which is sent by a first user and is approved by the commodity planning allocation table, acquiring the current commodity simulation stock corresponding to the commodity identifier;
if the commodity demand exceeds the current commodity simulation stock, sending prompt information that the commodity is updated to the first user;
otherwise, updating the commodity inventory based on the commodity demand and the current commodity simulation inventory;
sending prompt information of successful order generation to the first user;
generating a production schedule based on the commodity demand and the current commodity simulation stock;
acquiring a fourth user associated with the commodity identification;
and sending the production schedule to the fourth user.
By adopting the technical scheme, when the enterprise manager confirms the commodity planning allocation table without errors and needs to give an instruction for commodity production or distribution, whether the current commodity simulation stock is lower than the commodity demand is judged first, and when the current commodity simulation stock exceeds the commodity demand, the production planning table is sent to the corresponding enterprise producer or distributor, so that the producer or distributor can conveniently produce or distribute the commodity.
In a specific embodiment, the method further comprises:
periodically acquiring target commodity identifications and target commodity demand in each production schedule;
determining the current delivery frequency corresponding to the target commodity identification based on the target commodity demand;
generating a commodity trend comparison table according to the prestored historical ex-warehouse frequency and the current ex-warehouse frequency;
and sending the commodity trend comparison table to a fifth user.
By adopting the technical scheme, the demand of each commodity is recorded, the corresponding delivery frequency is determined, the delivery trend of each commodity can be obtained, and the key management of the commodity with higher delivery frequency by enterprise management staff is facilitated.
In a specific implementation manner, the acquiring the prestored responsible person identifier associated with the commodity identifier includes:
obtaining a prestored candidate identifier associated with the commodity identifier;
determining a candidate grade corresponding to the candidate identification;
and selecting a target candidate identifier with low level in the candidate identifiers as a responsible person identifier according to a preset low-level priority order.
By adopting the technical scheme, the target candidate identifiers with low levels in the candidate identifiers are selected as the responsible person identifiers according to the low-level priority order, so that the working efficiency of each enterprise manager is effectively improved.
In a second aspect, the present application provides an enterprise ERP planning management system, which adopts the following technical scheme:
an enterprise ERP planning management system comprising a server and user terminals, the server comprising:
the request acquisition module is used for acquiring an order planning request sent by a first user, wherein the order planning request carries a commodity identifier and a corresponding commodity demand;
the simulation stock estimating module is used for estimating and obtaining the commodity simulation stock corresponding to the commodity identification based on the prestored commodity stock;
the excess information sending module is used for sending the prompt information of excess orders to the first user when the commodity demand exceeds the commodity simulation stock;
the identification acquisition module is used for acquiring prestored responsible person identifications associated with the commodity identifications when the commodity demand exceeds the commodity simulation stock;
the distribution table generation module is used for generating a commodity planning distribution table based on the commodity identification, the commodity demand and the responsible person identification;
and the distribution table sending module is used for sending the commodity planning distribution table to the first user.
In a third aspect, the present application provides an electronic device, which adopts the following technical scheme:
optionally, the electronic device includes a processor and a memory, where the memory stores at least one instruction, at least one program, a code set, or an instruction set, and the at least one instruction, the at least one program, the code set, or the instruction set is loaded and executed by the processor to implement an enterprise ERP planning management method as described in the first aspect.
In a fourth aspect, the present application provides a computer readable storage medium, which adopts the following technical scheme:
optionally, the storage medium stores at least one instruction, at least one program, a code set, or a set of instructions, where the at least one instruction, the at least one program, the set of code, or the set of instructions are loaded and executed by a processor to implement an enterprise ERP planning management method as described in the first aspect.
In summary, the present application includes at least one of the following beneficial technical effects:
1. when an order planning request sent by a certain user is acquired, the acquired demand of all commodities and the estimated simulation stock can be compared one by one, so that whether the demand exceeds or not is determined, the process that enterprise management personnel need to compare one by one is reduced, and the working efficiency of the enterprise management personnel is improved. Under the condition that the commodity demand does not exceed the commodity simulation stock, determining an associated responsible person identifier, and generating a corresponding commodity planning distribution table so as to be fed back to enterprise management staff, so that the enterprise management staff can determine corresponding production staff or distribution staff according to the commodity planning distribution table;
2. according to the production personnel, the corresponding personnel quantity and personnel qualification, the output corresponding to the commodity identification can be determined. The output and the stock of raw materials obtained from the production information can be estimated to be the corresponding simulated stock of raw materials. Through the commodity reserve quantity and the raw material reserve quantity, more accurate commodity simulation reserve quantity can be obtained, and further accuracy of judging whether the demand quantity exceeds or not is improved;
3. because the storage amount of each raw material has deviation, the rated output of a certain commodity is required to be determined according to the raw material proportioning table, and then the expected output is determined according to the rated output and the production information, so that the possibility that the obtained raw material simulation storage amount has errors due to the fact that a certain raw material is insufficient is effectively reduced, and the more accurate raw material simulation storage amount is further obtained.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings that are needed in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present application, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a block diagram of an enterprise ERP plan management system in accordance with an embodiment of the present application.
FIG. 2 is a flow chart of an enterprise ERP plan management method according to an embodiment of the present application.
FIG. 3 is a flow diagram of a server in an enterprise ERP planning management system according to an embodiment of the present application.
Detailed Description
For the purpose of making the objects, technical solutions and advantages of the present application more apparent, the embodiments of the present application will be described in further detail below with reference to the accompanying drawings.
The embodiment of the application provides an enterprise ERP plan management method which can be applied to an enterprise ERP plan management system. The framework structure of the enterprise ERP plan management system can be shown in fig. 1, and the framework structure can comprise a server of an enterprise and user terminals used by a plurality of management personnel, specifically, an execution subject of the method can be the server and is realized by the aid of the user terminals, and the user terminals can be computers, mobile phones or tablets. The server stores a corresponding ERP system operation interface, and each button area of the ERP system operation interface is linked with different enterprise related contents, wherein the enterprise related contents can be information of selling goods, information of personnel of an enterprise, information of raw material supply, information of financial affairs of the enterprise and the like. The manager can digitally manage the enterprise through the ERP system operation interface. Specifically, the server acquires an order plan request sent by the user, generates a corresponding commodity plan distribution table according to commodity identifications carried by the order plan request and corresponding commodity demand, and sends the commodity plan distribution table to the user so that the user can dispatch or produce corresponding commodities according to the commodity plan distribution table.
The process flow shown in fig. 2 will be described in detail with reference to the specific embodiments, and the following may be included:
step 201, an order plan request sent by a first user is obtained, wherein the order plan request carries a commodity identifier and a corresponding commodity demand.
In implementation, a certain manager (i.e. a first user) logs in an operation interface of the ERP system through a user terminal, clicks a button for order setting, then jumps to an order equipment interface, selects a corresponding order plan button, inputs a commodity identifier and a corresponding commodity demand in a plan in a popup window of the order plan, and clicks a confirmation button after editing is completed. Wherein the article identification may be a serial number of the article. Then, the server acquires an order planning request sent by the first user, wherein the order planning request carries the commodity identification and the corresponding commodity demand.
Step 202, estimating and obtaining the commodity simulation stock corresponding to the commodity identification based on the prestored commodity stock.
The server is internally provided with an enterprise database, the enterprise database is used for storing commodity identifications corresponding to commodities produced by enterprises, and each commodity identification is associated with and stored with corresponding commodity stock.
In the implementation, the server estimates and obtains the commodity analog stock corresponding to the commodity identification based on the commodity stock corresponding to the prestored commodity identification.
In step 203, if the server identifies that the commodity demand exceeds the commodity simulation stock, the server sends a prompt message of excessive orders to the first user.
In the implementation, if the commodity demand exceeds the commodity simulation stock, a prompt message of excessive orders is sent to the first user.
Optionally, in order to implement order rationalization allocation for each manager responsible for commodity production, when the server identifies that the commodity demand does not exceed the commodity simulation stock, the following contents may be included:
the enterprise database built in the server stores corresponding candidate identifiers, and the candidate identifiers can be account serial numbers corresponding to all enterprise managers or account character strings. And storing the candidate identification and the corresponding commodity identification in an associated manner. It is further noted that each candidate identifier is associated with and stored with a corresponding candidate level, i.e. the higher the manager level of the enterprise, the higher the corresponding candidate level. Specific examples are: the candidate level of the group member level manager is 1 level, the candidate level of the group leader level manager is 2 level, and the candidate level of the manager of the supervisor level is 3 level. The server is also preset with a low-level priority order, and as the manager of the candidate level needs to manage the manager of the next level, the manager needs to select the corresponding candidate identifier with a lower level to manage the goods in the planning.
In implementation, the server obtains a candidate identifier associated with the prestored commodity identifier, and determines a candidate level corresponding to the candidate identifier. And the server selects a target candidate identifier with low level in the candidate identifiers as a responsible person identifier according to the preset low-level priority order.
And 204, if the commodity demand does not exceed the commodity simulation stock, acquiring a pre-stored responsible person identifier associated with the commodity identifier.
In the implementation, if the server identifies that the commodity demand does not exceed the commodity simulation stock, the pre-stored responsible person identification associated with the commodity identification is acquired.
Step 205, generating a commodity planning allocation table based on the commodity identification, the commodity demand and the responsible person identification.
When the server acquires the corresponding commodity identifications, commodity demand and responsible person identifications, the corresponding commodity demand and the corresponding responsible person identifications are added after the commodity identifications of all columns in the table of the generation template, and then the corresponding commodity plan distribution table can be generated.
In an implementation, the server generates a commodity planning allocation table based on commodity identifications, commodity demand, and principal identifications.
Step 206, sending the commodity planning allocation table to the first user.
In practice, the server sends the commodity planning allocation table to the first user so that the first user can check the responsible person corresponding to each commodity in the commodity planning allocation table.
Optionally, in order to obtain the commodity simulation stock with higher accuracy, the specific content of step 202 may be:
the commodity stock quantity at least comprises a commodity stock quantity and a raw material stock quantity corresponding to the commodity identification. The server also stores production information in advance, the production information comprises production personnel, the corresponding personnel number and personnel qualification, and the production information can be obtained through personnel related content retrieval in the enterprise ERP system.
In an implementation, a server obtains production information corresponding to a prestored commodity identifier. And the server calculates the output of each corresponding producer according to the producer, the corresponding personnel number and personnel qualification. When the output corresponding to the production information exceeds the producible output of the stock quantity of raw materials, obtaining the raw material simulated stock according to the producible output of the stock quantity of raw materials. The producible amount may be the maximum amount of raw material produced. And when the output corresponding to the production information does not exceed the producible output of the raw material reserve quantity, obtaining the raw material simulated stock according to the output corresponding to the production information. And the raw material simulated stock is estimated according to the production information and the raw material stock. And the server calculates and obtains the commodity simulation stock corresponding to the commodity identification based on the commodity stock and the raw material stock. The specific algorithm may be: commodity simulated stock = commodity stock + stock.
Further, in order to obtain the raw material simulated stock corresponding to the user-specified time, the specific process of predicting the raw material simulated stock according to the production information and the raw material stock may include the following:
the server is preset with a corresponding raw material proportioning table for each commodity, and production personnel can prepare corresponding commodities according to the raw material proportioning table. The order plan request also carries the estimated time of delivery (i.e., the user-specified time) corresponding to each merchandise identification.
In an implementation, a server obtains a pre-stored raw material proportioning table associated with a commodity identification. And calculating according to the raw material reserve amount and the raw material proportioning table to obtain the rated yield. And the server obtains the corresponding output to be produced according to the production efficiency of the corresponding production personnel. When the to-be-produced amount exceeds the rated production amount, the rated production amount reaching the estimated time of the warehouse is determined as the estimated production amount. When the to-be-produced amount does not exceed the rated output amount, the to-be-produced amount reaching the estimated time of the warehouse is determined as the estimated output amount. The server obtains raw material simulation inventory based on the predicted throughput.
It is worth mentioning that, in order to reduce the situation that the raw material reserve amount has deviation caused by poor raw material warehouse-in efficiency of the supplier, the specific process of updating the raw material reserve amount in real time in the application comprises the following steps:
the server also stores a user risk warehousing table in advance, and the user risk warehousing table associates different risk grades for different users. The server also presets a risk threshold, specifically for example: and when the risk level of a certain user is 2 and the corresponding risk threshold value is 5, the user is a low risk user, and the user stores the raw materials, the server can directly update the corresponding raw material reserve amount according to the corresponding raw material storage information.
In implementation, the server acquires a raw material update request sent by a provider (i.e. a second user) in real time, wherein the raw material update request carries raw material warehousing information, and the raw material warehousing information comprises a raw material identifier, a raw material warehousing quantity and raw material warehousing time. And the server determines the risk level corresponding to the second user according to the pre-stored user risk warehousing table. If the server identifies that the risk level of the second user does not exceed the preset risk threshold, updating the associated target raw material reserve based on the raw material warehouse-in information. Otherwise, the server updates the raw material warehouse-in information into a preset warehouse-in log. When the server acquires a raw material confirmation request which is sent by a third user and aims at raw material warehouse-in information, and the risk level of the third user exceeds a preset risk threshold, the raw material warehouse-in information is updated from a warehouse-in log to a target raw material reserve.
Optionally, in order to implement that after the user completes the confirmation of the commodity planning allocation table, the production task may be allocated to the responsible person associated in the commodity planning allocation table, after step 206, the method further includes the following contents:
in the implementation, when the server receives confirmation information which is sent by the first user and is approved by the commodity planning allocation table, the current commodity simulation stock corresponding to the commodity identification is obtained. And if the commodity demand exceeds the current commodity simulation stock, sending updated prompting information of the commodity to the first user. If the commodity demand does not exceed the current commodity simulation stock, updating the commodity stock based on the commodity demand and the current commodity simulation stock, and sending prompt information of successful order generation to the first user. And generating a production schedule based on the commodity demand and the current commodity simulation stock, acquiring a fourth user associated with the commodity identification, and sending the production schedule to the fourth user. The fourth user may be a distributor or producer responsible for the commodity corresponding to the commodity identification.
Optionally, in order to facilitate statistics of the hot-sold commodity and the trend of the sales volume of the commodity, the present application further includes the following:
in practice, the server periodically obtains a certain commodity identifier (i.e., a target commodity identifier) and a corresponding commodity demand (i.e., a target commodity demand) in each production schedule. The period may be one month, one quarter or one year. The server determines the current delivery frequency corresponding to the target commodity identification based on the target commodity demand. And generating a commodity trend comparison table according to the prestored historical ex-warehouse frequency and the current ex-warehouse frequency. Specific examples are: the server obtains the delivery amount of the corresponding commodity identification every month as the delivery frequency of the current month (namely the current delivery frequency). And the server generates a corresponding commodity trend comparison table according to the delivery quantity and the current delivery frequency of the month which is the year and is the month before the current month. And the server generates a corresponding commodity trend line graph according to the months and the corresponding delivery amount, and adds the commodity trend line graph into a commodity trend comparison table. The server sends the commodity trend comparison table to the fifth user. The fifth user may be a boss in the enterprise, and the commodity trend comparison table may be sent to a mobile phone of the boss in the enterprise in a link manner.
Based on the same technical concept, the embodiment of the application also discloses an enterprise ERP plan management system, as shown in fig. 3, including a server and each user terminal, where the server includes:
the request acquisition module 301 is configured to acquire an order plan request sent by a first user, where the order plan request carries a commodity identifier and a corresponding commodity demand;
the simulated stock estimating module 302 is configured to estimate, based on the prestored commodity stock, a commodity simulated stock corresponding to the commodity identifier;
the excess information sending module 303 is configured to send, when the commodity demand exceeds the commodity simulation stock, a prompt message for excessive orders to the first user;
the identifier obtaining module 304 is configured to obtain a pre-stored responsible person identifier associated with the commodity identifier when the commodity demand exceeds the commodity simulation stock;
the allocation table generating module 305 is configured to generate a commodity planning allocation table based on the commodity identifier, the commodity demand and the responsible person identifier;
the allocation table sending module 306 is configured to send the commodity planning allocation table to the first user.
Optionally, the production information acquisition module is used for acquiring production information corresponding to the prestored commodity identifier, wherein the production information comprises production personnel, corresponding personnel number and personnel qualification;
the raw material stock prediction module is used for predicting and obtaining raw material simulation stock according to the production information and the raw material stock;
and the commodity stock calculation module is used for calculating and obtaining the commodity simulation stock corresponding to the commodity identification based on the commodity stock and the raw material stock.
Optionally, the proportioning table acquisition module is used for acquiring a pre-stored raw material proportioning table associated with the commodity identifier;
the output calculating module is used for calculating and obtaining rated output according to the raw material reserve quantity and the raw material proportioning table;
the output determining module is used for determining the expected output reaching the expected warehouse time according to the production information and the rated output;
and the raw material stock estimating module is used for estimating and obtaining the raw material simulated stock according to the estimated output.
Optionally, the request acquisition module is configured to acquire, in real time, a raw material update request sent by the second user, where the raw material update request carries raw material warehousing information, and the raw material warehousing information includes a raw material identifier, a raw material warehousing quantity and a raw material warehousing time;
the risk level determining module is used for determining a risk level corresponding to the second user according to the pre-stored user risk warehousing table;
the storage quantity updating module is used for updating the associated target raw material storage quantity based on raw material storage information when the risk level of the second user does not exceed a preset risk threshold value;
the reserve quantity migration module is used for updating raw material warehouse-in information into a preset warehouse-in log when the risk level of the second user exceeds a preset risk threshold value;
the stock quantity updating module is further configured to update the stock storage information from the storage log to the target stock quantity when a stock confirmation request for the stock storage information sent by the third user is obtained and the risk level of the third user exceeds a preset risk threshold.
Optionally, the current simulation stock obtaining module is configured to obtain a current commodity simulation stock corresponding to the commodity identifier when receiving confirmation information approved by the commodity planning allocation table sent by the first user;
the updated information sending module is used for sending updated prompting information of the commodity to the first user when the commodity demand exceeds the current commodity simulation stock;
the inventory quantity updating module is used for updating the inventory quantity of the commodity based on the commodity demand quantity and the current commodity simulation inventory quantity when the commodity demand quantity exceeds the current commodity simulation inventory quantity;
the order information sending module is used for sending prompt information of successful order generation to the first user;
the schedule generation module is used for generating a production schedule based on the commodity demand and the current commodity simulation stock;
the associated user acquisition module is used for acquiring a fourth user associated with the commodity identification;
and the schedule sending module is used for sending the production schedule to the fourth user.
Optionally, the demand acquisition module is used for periodically acquiring the target commodity identification and the target commodity demand in each production schedule;
the ex-warehouse frequency determining module is used for determining the current ex-warehouse frequency corresponding to the target commodity identification based on the target commodity demand;
the comparison table generation module is used for generating a commodity trend comparison table according to the prestored historical ex-warehouse frequency and the current ex-warehouse frequency;
and the comparison table sending module is used for sending the commodity trend comparison table to the fifth user.
Optionally, the candidate acquisition module is used for acquiring a candidate identifier associated with the prestored commodity identifier;
the candidate grade determining module is used for determining a candidate grade corresponding to the candidate identification;
the responsible person selecting module is used for selecting a target candidate identifier with low level in the candidate identifiers as a responsible person identifier according to a preset low-level priority order.
The embodiment of the application also discloses an electronic device, which comprises a memory and a processor, wherein the memory stores a computer program capable of being loaded by the processor and executing the enterprise ERP plan management method.
Based on the same technical idea, the embodiments of the present application also disclose a computer readable storage medium storing a computer program capable of being loaded by a processor and executing an enterprise ERP planning management method as described above, the computer readable storage medium for example comprising: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a random access Memory (Random Access Memory, RAM), a magnetic disk, or an optical disk, or other various media capable of storing program codes.
The above embodiments are only used to illustrate the technical solutions of the present application, and not to limit the scope of protection of the application. It will be apparent that the described embodiments are merely some, but not all, of the embodiments of the present application. Based on these embodiments, all other embodiments that may be obtained by one of ordinary skill in the art without inventive effort are within the scope of protection sought herein.
Claims (10)
1. A method for enterprise ERP planning management, comprising:
acquiring an order planning request sent by a first user, wherein the order planning request carries a commodity identifier and a corresponding commodity demand;
estimating and obtaining commodity simulation stock corresponding to the commodity identification based on prestored commodity stock;
if the commodity demand exceeds the commodity simulation stock, sending a prompt message of excessive orders to the first user;
otherwise, acquiring a prestored responsible person identifier associated with the commodity identifier;
generating a commodity planning allocation table based on the commodity identification, the commodity demand and the responsible person identification;
and sending the commodity planning allocation table to the first user.
2. The method for managing an enterprise ERP plan of claim 1, wherein the inventory of goods comprises at least a stock of goods and a stock of raw materials corresponding to the identity of the goods;
the commodity simulation stock corresponding to the commodity identification is estimated based on the prestored commodity stock, and the method comprises the following steps:
obtaining prestored production information corresponding to the commodity identification, wherein the production information comprises production personnel, corresponding personnel quantity and personnel qualification;
according to the production information and the raw material reserve quantity, estimating to obtain raw material simulation reserve quantity;
and calculating to obtain the commodity simulation stock corresponding to the commodity identification based on the commodity stock and the raw material stock.
3. The method for enterprise ERP planning management as claimed in claim 2, wherein the order planning request further carries a predicted warehouse-out time corresponding to each commodity identifier;
the raw material simulation stock is estimated according to the production information and the raw material stock, and the method comprises the following steps:
acquiring a pre-stored raw material proportioning table associated with the commodity identification;
calculating according to the raw material reserve amount and the raw material proportioning table to obtain rated output;
determining a predicted throughput to the predicted warehouse time based on the production information and the nominal throughput;
and according to the expected output, estimating and obtaining the raw material simulation stock.
4. The method of enterprise ERP planning management of claim 3, further comprising:
acquiring a raw material updating request sent by a second user in real time, wherein the raw material updating request carries raw material warehousing information, and the raw material warehousing information comprises a raw material identifier, raw material warehousing quantity and raw material warehousing time;
determining a risk level corresponding to the second user according to a pre-stored user risk warehousing table;
if the risk level of the second user does not exceed a preset risk threshold, updating the associated target raw material reserve based on the raw material warehouse-in information;
otherwise, updating the raw material warehouse-in information into a preset warehouse-in log;
and when a raw material confirmation request which is sent by a third user and aims at the raw material warehousing information is acquired, and the risk level of the third user exceeds a preset risk threshold, updating the raw material warehousing information from the warehousing log to the target raw material reserve.
5. The method of claim 1, further comprising, after said sending the first user the product plan distribution list:
when receiving confirmation information which is sent by a first user and is approved by the commodity planning allocation table, acquiring the current commodity simulation stock corresponding to the commodity identifier;
if the commodity demand exceeds the current commodity simulation stock, sending prompt information that the commodity is updated to the first user;
otherwise, updating the commodity inventory based on the commodity demand and the current commodity simulation inventory;
sending prompt information of successful order generation to the first user;
generating a production schedule based on the commodity demand and the current commodity simulation stock;
acquiring a fourth user associated with the commodity identification;
and sending the production schedule to the fourth user.
6. The method of enterprise ERP planning management of claim 5, further comprising:
periodically acquiring target commodity identifications and target commodity demand in each production schedule;
determining the current delivery frequency corresponding to the target commodity identification based on the target commodity demand;
generating a commodity trend comparison table according to the prestored historical ex-warehouse frequency and the current ex-warehouse frequency;
and sending the commodity trend comparison table to a fifth user.
7. The method for enterprise ERP planning management as claimed in claim 1, wherein the step of obtaining the pre-stored responsible person identifier associated with the commodity identifier comprises:
obtaining a prestored candidate identifier associated with the commodity identifier;
determining a candidate grade corresponding to the candidate identification;
and selecting a target candidate identifier with low level in the candidate identifiers as a responsible person identifier according to a preset low-level priority order.
8. An enterprise ERP planning management system, comprising a server and user terminals, the server comprising:
the request acquisition module is used for acquiring an order planning request sent by a first user, wherein the order planning request carries a commodity identifier and a corresponding commodity demand;
the simulation stock estimating module is used for estimating and obtaining the commodity simulation stock corresponding to the commodity identification based on the prestored commodity stock;
the excess information sending module is used for sending the prompt information of excess orders to the first user when the commodity demand exceeds the commodity simulation stock;
the identification acquisition module is used for acquiring prestored responsible person identifications associated with the commodity identifications when the commodity demand exceeds the commodity simulation stock;
the distribution table generation module is used for generating a commodity planning distribution table based on the commodity identification, the commodity demand and the responsible person identification;
and the distribution table sending module is used for sending the commodity planning distribution table to the first user.
9. An electronic device comprising a memory and a processor, the memory having stored thereon a computer program capable of being loaded by the processor and performing the method according to any of claims 1 to 7.
10. A computer readable storage medium, characterized in that a computer program is stored which can be loaded by a processor and which performs the method according to any of claims 1 to 7.
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210894225.0A CN117540940A (en) | 2022-07-27 | 2022-07-27 | Enterprise ERP plan management method, system, electronic equipment and storage medium |
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| CN202210894225.0A CN117540940A (en) | 2022-07-27 | 2022-07-27 | Enterprise ERP plan management method, system, electronic equipment and storage medium |
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| CN (1) | CN117540940A (en) |
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