CN117196479A - Goods supplementing method, device, equipment and storage medium based on EPR system - Google Patents
Goods supplementing method, device, equipment and storage medium based on EPR system Download PDFInfo
- Publication number
- CN117196479A CN117196479A CN202311203714.8A CN202311203714A CN117196479A CN 117196479 A CN117196479 A CN 117196479A CN 202311203714 A CN202311203714 A CN 202311203714A CN 117196479 A CN117196479 A CN 117196479A
- Authority
- CN
- China
- Prior art keywords
- store
- replenishment
- information
- goods
- confirmation
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000000034 method Methods 0.000 title claims abstract description 48
- 238000003860 storage Methods 0.000 title claims abstract description 26
- 230000001502 supplementing effect Effects 0.000 title description 26
- 238000012790 confirmation Methods 0.000 claims abstract description 68
- 230000009471 action Effects 0.000 claims abstract description 19
- 238000012384 transportation and delivery Methods 0.000 claims abstract description 14
- 230000000875 corresponding effect Effects 0.000 claims description 17
- 238000012546 transfer Methods 0.000 claims description 17
- 239000013589 supplement Substances 0.000 claims description 7
- 238000004590 computer program Methods 0.000 claims description 4
- 230000001276 controlling effect Effects 0.000 claims description 3
- 238000012545 processing Methods 0.000 abstract description 7
- 230000006870 function Effects 0.000 description 23
- 238000009826 distribution Methods 0.000 description 7
- 238000007726 management method Methods 0.000 description 7
- 238000010586 diagram Methods 0.000 description 5
- 238000004891 communication Methods 0.000 description 4
- 230000009286 beneficial effect Effects 0.000 description 3
- 230000008878 coupling Effects 0.000 description 3
- 238000010168 coupling process Methods 0.000 description 3
- 238000005859 coupling reaction Methods 0.000 description 3
- 230000001186 cumulative effect Effects 0.000 description 3
- 238000013079 data visualisation Methods 0.000 description 3
- 238000005457 optimization Methods 0.000 description 3
- 239000002699 waste material Substances 0.000 description 3
- 230000002950 deficient Effects 0.000 description 2
- 230000003287 optical effect Effects 0.000 description 2
- 238000013439 planning Methods 0.000 description 2
- 230000008569 process Effects 0.000 description 2
- 230000001133 acceleration Effects 0.000 description 1
- 238000004458 analytical method Methods 0.000 description 1
- 238000007405 data analysis Methods 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 230000002349 favourable effect Effects 0.000 description 1
- 230000014509 gene expression Effects 0.000 description 1
- 235000003642 hunger Nutrition 0.000 description 1
- 230000010354 integration Effects 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 239000000463 material Substances 0.000 description 1
- 230000006386 memory function Effects 0.000 description 1
- 230000003020 moisturizing effect Effects 0.000 description 1
- 230000004044 response Effects 0.000 description 1
- 230000037351 starvation Effects 0.000 description 1
- 230000003068 static effect Effects 0.000 description 1
- 238000007619 statistical method Methods 0.000 description 1
- 238000013068 supply chain management Methods 0.000 description 1
- 238000012800 visualization Methods 0.000 description 1
Landscapes
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The embodiment of the application discloses a replenishment method, a replenishment device, replenishment equipment and a storage medium based on an EPR (Ethernet passive infrared) system, which relate to the technical field of data identification processing, and comprise the following steps: inputting information of the big bin, the virtual bin and each store into an ERP system; the large bin sends replenishment information to the virtual bin through an ERP system; the virtual bin receives the replenishment information, sends the replenishment information to each store, and sets a confirmation period to wait for confirmation of each store; the store identifies goods information according to the replenishment information, and relevant personnel of the store confirm the goods information; and according to the confirmation result of the related personnel or the exceeding of the confirmation period, the large warehouse makes the action of whether to restock the corresponding store or not. The application can effectively avoid the delivery error of goods, ensure the sufficiency of goods required by each store as much as possible, and reduce the transportation cost of the round-trip delivery between the large warehouse and each store caused by the wrong delivery.
Description
Technical Field
The application relates to the technical field of data identification processing, in particular to a replenishment method, device and equipment based on an EPR system and a storage medium.
Background
ERP (Enterprise Resource Planning) the system refers to an enterprise resource planning system, and represents an enterprise information management system mainly used for integrating and managing material resources, fund resources and information resources towards manufacturing industries, electronic commerce is a mainstream business mode for optimizing enterprise operation, the ERP system in the electronic commerce era fully utilizes network and information integration technology, comprehensively integrates and optimizes functions such as supply chain management, customer relationship management, enterprise office automation and the like, and reasonably carries out ERP management, so that the system can meet the requirements of resource optimization in the electronic commerce era and collaborative development among enterprises.
Currently, there are a number of challenges in the management of the enterprise supply chain, particularly in the restocking process for individual stores. The traditional method is that the total warehouse delivers goods to each store at fixed time and fixed quantity to meet the goods quantity requirement of each store, and the two-time goods supplementing interval at fixed time generally delivers goods when each store still has certain inventory, so that the occurrence of the empty window period of the store is reduced. And, the general warehouse can also carry out replenishment according to the replenishment demands sent by each store. Whether the goods are regularly and quantitatively replenished or the goods are replenished according to the demands of all stores, the situation that the goods are stored or the goods are deficient can exist, and the goods are regularly and quantitatively replenished, so that the goods are more convenient to replenish and manage, the goods are automatically replenished, the goods sold by all stores are different in condition, the goods types of the goods which are required to be replenished by all stores are different, the goods are automatically shipped in a large warehouse, the goods are possibly misplaced, and a large amount of transportation cost is generated by the back and forth shipment between the large warehouse and all stores.
Disclosure of Invention
The embodiment of the application provides a replenishment method, a replenishment device, replenishment equipment and a storage medium based on an EPR (Ethernet passive infrared) system, which can effectively avoid goods delivery errors, ensure sufficient goods required by all stores as much as possible and reduce a large amount of transportation cost caused by round-trip delivery between a large warehouse and all stores due to wrong delivery.
An embodiment of the present application provides a method for replenishing goods based on an EPR system, including:
inputting information of the big bin, the virtual bin and each store into an ERP system;
the large bin sends replenishment information to the virtual bin through an ERP system;
the virtual bin receives the replenishment information, sends the replenishment information to each store, and sets a confirmation period to wait for confirmation of each store;
the store identifies goods information according to the replenishment information, and relevant personnel of the store confirm the goods information;
and according to the confirmation result of the related personnel or the exceeding of the confirmation period, the large warehouse makes the action of whether to restock the corresponding store or not.
In some embodiments of the present application, the step of the large warehouse making an action of whether to restock the corresponding store according to the confirmation result of the related person or exceeding the confirmation period includes:
when the confirmation result made by the related personnel is that the replenishment is accepted, the large warehouse makes a replenishment action for the store;
when the confirmation result made by the related personnel is refusing to replenish the goods, the big warehouse makes the action of canceling replenishment to the store;
and when the related personnel do not make any confirmation within the confirmation period, the big warehouse makes an action of canceling the replenishment of the store.
In some embodiments of the present application, the relevant person may include a plurality of persons, one of which may make a confirmation, and the large warehouse may make a corresponding action.
In some embodiments of the present application, during the confirmation period, the virtual warehouse sends multiple confirmation reminding messages to the store that does not make the confirmation result, and a preset time is spaced between two adjacent confirmation reminding messages.
In some embodiments of the present application, the method for replenishing goods based on the EPR system further includes: and establishing a plurality of transfer bins, and inputting information of the plurality of transfer bins into the ERP system for temporarily storing goods.
In some embodiments of the present application, before the step of sending the replenishment information to the virtual warehouse through the ERP system, the method further includes:
determining a replenishment related variable;
calculating and determining the maximum replenishment quantity of a store according to the replenishment related variable;
and calculating and determining the store large warehouse replenishment quantity according to the store maximum replenishment quantity.
In some embodiments of the present application, the step of calculating and determining the maximum restocking volume of the store according to the restocking related variable includes:
creating a first objective function and a first constraint condition based on the replenishment related variable;
the store maximum restocking amount is determined based on the first objective function and the first constraint.
A second aspect of an embodiment of the present application provides a restocking device based on an EPR system, the device including:
the information input module is used for inputting information of the big warehouse, the virtual warehouse and each store into the ERP system;
the large bin information sending module is used for sending the replenishment information to the virtual bin;
the virtual bin information sending module is used for sending the replenishment information to each store;
the time limit setting module is used for setting a confirmation time limit;
the information identification module is used for identifying and analyzing the replenishment information to obtain the cargo information;
and the delivery decision module is used for controlling the large warehouse to make the action of whether to supplement goods.
An apparatus provided in a third aspect of an embodiment of the present application includes: a processor, a storage medium, and a bus, the storage medium storing machine-readable instructions executable by the processor, the processor and the storage medium communicating over the bus when the device is operating, the processor executing the machine-readable instructions to perform the steps of the method as provided in the first aspect when executed.
A fourth aspect of the embodiments of the present application also provides a storage medium having stored thereon a computer program which, when executed by a processor, performs the steps of the method as provided in the first aspect.
Therefore, the method of the embodiment of the application can bring the following beneficial effects:
(1) According to the scheme, the large bin, the virtual bin and the store information are input into the ERP system, unified checking management can be carried out through the ERP system, and the whole data visualization of the large bin, the virtual bin and the stores is realized.
(2) According to the scheme, the virtual bin is arranged between the big bin and the store as information transfer, when the big bin needs to supplement goods to the store, the goods supplementing information is sent to the virtual bin, the store can acquire the current goods supplementing information through the virtual bin, so that whether the goods are suitable for the store of the user or not is judged, then a confirmation result is made, the situation that goods are directly sent to the store in a physical mode, and the fact that goods are sent incorrectly, the store does not need the goods, or the goods are too little or too much in sending quantity is avoided, and the like is avoided, so that the back and forth transportation cost between the big bin and the store is increased, and waste is caused.
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 described below, it being 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 an application scenario schematic diagram of a data classification system provided in an embodiment of the present application;
FIG. 2 is a schematic flow chart of a method for replenishing goods based on an EPR system according to an embodiment of the present application;
FIG. 3 is a schematic diagram of a cargo replenishment device based on an EPR system according to an embodiment of the present application;
fig. 4 is a schematic structural diagram of an apparatus according to an embodiment of the present application.
Detailed Description
The following description of the embodiments of the present application 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 application, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the application without making any inventive effort, are intended to fall within the scope of the application.
The embodiment of the application provides a replenishment method, a replenishment device, replenishment equipment and a storage medium based on an EPR system, wherein the equipment can be Internet of things equipment, and the storage medium can be a computer storage medium. The replenishment method based on the EPR system can be integrated in equipment, and the equipment can be a server, a terminal and other equipment.
The server may be an independent physical server, a server cluster or a distributed system formed by a plurality of physical servers, or a cloud server providing cloud services, cloud databases, cloud computing, cloud functions, cloud storage, network services, cloud communication, middleware services, domain name services, security services, network acceleration services (Content Delivery Network, CDN), basic cloud computing services such as big data and an artificial intelligent platform.
The terminal may be, but not limited to, a smart phone, a tablet computer, a notebook computer, a desktop computer, a smart speaker, a smart watch, and the like. The terminal and the server may be directly or indirectly connected through wired or wireless communication, and the present application is not limited herein.
For example, as shown in FIG. 1, the server may input information for the big warehouse, the virtual warehouse, and each store into the ERP system; the large bin sends replenishment information to the virtual bin through an ERP system; the virtual bin receives the replenishment information, sends the replenishment information to each store, and sets a confirmation period to wait for confirmation of each store; the store identifies goods information according to the replenishment information, and relevant personnel of the store confirm the goods information; and according to the confirmation result of the related personnel or the exceeding of the confirmation period, the large warehouse makes the action of whether to restock the corresponding store or not.
The steps performed in the server may be performed in the terminal, and the present embodiment is not limited to this.
The term "plurality" in the embodiments of the present application means two or more. "first" and "second" and the like in the embodiments of the present application are used for distinguishing descriptions and are not to be construed as implying relative importance.
The following will describe in detail. The following description of the embodiments is not intended to limit the preferred embodiments.
Referring to fig. 2, in this embodiment, a method for replenishing goods based on an EPR system is provided, which is applied to a data processing system, where the data processing system includes a sensing layer, a network layer, a service layer and an application layer, as shown in fig. 2, the specific flow of the method for replenishing goods based on the EPR system may be as follows:
s1, inputting information of a large warehouse, a virtual warehouse and each store into an ERP system.
In some embodiments, the ERP system is utilized to store, integrate and view various data, enabling the visualization of the overall data for the large, virtual and stores.
S2, the large bin sends the replenishment information to the virtual bin through the ERP system.
In some embodiments, the large bins send restocking information to the virtual bins using the ERP system, which is visible to all stores, and the large bins are provided with a plurality of and one main large bin is selected, which is sent by the main large bin, but for actual restocking, each large bin participates in restocking.
And S3, receiving the replenishment information by the virtual warehouse, sending the replenishment information to each store, setting a confirmation period, and waiting for confirmation of each store.
In some embodiments, by receiving replenishment information using a virtual warehouse and then distributing the replenishment information to each store, one virtual warehouse can be implemented to notify all stores, save resources, and the distribution of all stores can be implemented through one virtual warehouse. And setting a confirmation period through the virtual warehouse, so that each store needs to respond within the specified period, the specific delivery time can be effectively limited, and the condition that the replenishment of all stores is influenced because some stores do not respond is avoided. And the virtual bin is utilized to send the replenishment information, and then each store is allowed to confirm, so that the situations of replenishment errors and the like caused by timing and quantitative replenishment can be almost completely avoided.
And S4, identifying the goods information according to the replenishment information by the store, and confirming the goods information by relevant personnel of the store.
In some embodiments, the restocking information and the merchandise information are displayed differently, in detail, the merchandise information needs to be identified by the restocking information, and the restocking information is displayed as a specific code in some embodiments, and each store has a program capable of identifying and analyzing the code, so that the safety of the restocking information can be effectively ensured, and the merchandise information is prevented from being leaked.
And S5, according to the confirmation result of the related personnel or the fact that the confirmation period is exceeded, the large warehouse performs the action of whether to restock the corresponding store or not.
The corresponding action is made to the big storehouse through the response that relevant personnel made to goods information, and the circumstances that reduces the moisturizing mistake of very big degree takes place, is favorable to saving the big storehouse and makes a round trip the cost of transportation between the store and effectively prevents that store goods from piling up or the condition of starvation from appearing.
In some embodiments, the step of the large warehouse making an action of whether to restock the corresponding store according to the confirmation result of the related personnel or exceeding the confirmation period includes:
and S51, when the confirmation result made by the related personnel is that the replenishment is received, the large warehouse makes a replenishment action for the store.
The method has the advantages that the replenishment information sent by the current large warehouse is described, the cargo demand required by the current store is met, the large warehouse delivers goods to the corresponding store, and the store can be guaranteed to have balanced cargo storage.
And S52, when the confirmation result made by the related personnel is that the replenishment is refused, the large warehouse makes the action of canceling the replenishment to the store.
The current store is not required to be restocked, or the type of the restocked goods does not accord with the type of the goods required by the current store, and the condition that the goods in the store are piled up and other goods in the store are deficient can be effectively avoided through confirmation made by the store, so that the transportation cost of transporting the goods back and forth between the store and the store can be reduced.
And S53, when the related personnel do not make any confirmation within the confirmation period, the big warehouse makes a motion of canceling the replenishment of the store.
This step is mainly to avoid that the shipment of other stores is affected because a part of stores are not confirmed at a late time.
In some embodiments, the relevant personnel may include multiple persons, one of which may make a confirmation, and the large bins may each make a corresponding action. By the arrangement, the situation that the relevant personnel are set as one person and the relevant personnel miss the replenishment due to the fact that the relevant personnel do not notice the replenishment information in the confirmation period or the decision is wrong and the like can be avoided. The related person may include a store length, a store manager, a store sales person, etc., and is specifically set according to the actual situation, without limitation. And for the setting of related personnel, each store is determined and uploaded to the ERP system, and the setting rules of the related personnel of each store can be different.
In some embodiments, during the confirmation period, the virtual warehouse sends multiple confirmation reminding messages to the store which does not make the confirmation result, and a preset time is reserved between two adjacent confirmation reminding messages. By sending the confirmation reminding information for a plurality of times, the store can be prevented from missing the confirmation of the replenishment information as much as possible. For the preset time, in this embodiment, three times are reminded at intervals of one day, namely, one time on the first day, one time on the third day and one time on the fifth day.
Further, the number of times and time that the reminder information is confirmed may be set in combination with the aforementioned related person. Specifically, the relevant personnel include store manager, store manager and store sales personnel, first warning, virtual storehouse only sends the warning information to store sales personnel, and the second warning, virtual storehouse only sends the warning information to store manager, and the third warning, virtual storehouse only sends the warning information to store manager. By the arrangement, too many reminding information and times aiming at the same person can be effectively avoided, so that too many information reminding is caused, and poor experience of related persons is caused.
In some embodiments, the EPR system-based restocking method further comprises: and establishing a plurality of transfer bins, and inputting information of the plurality of transfer bins into the ERP system for temporarily storing goods. The positions established by the transfer bins are different and distributed in the whole country or all around the world, and a plurality of shops can be arranged around one transfer bin, so that nearby delivery and return can be carried out by means of the transfer bins, and the delivery and return time is shortened.
For the transfer bins, in this embodiment, the storage device is mainly used for temporarily storing goods, especially goods returned to the store. If the large warehouse sends the goods to the store or the goods are wrong, the store can directly return the goods to be returned to the transfer warehouse closest to the store, then the transfer warehouse temporarily stores the goods, and when other stores need the goods, the goods are directly sent to other stores. Through the setting of transfer storehouse, can effectively reduce the transportation economic cost and the time cost of returning goods and delivery.
In addition to the consideration of the transportation cost, the virtual warehouse and the transfer warehouse are arranged, and before the large warehouse performs shipment, analysis of the current goods conditions of each large warehouse and each store is performed through data information in the ERP system, so that the corresponding large warehouse supplements reasonable goods to the corresponding store, and reasonable distribution of the goods of each large warehouse and each store and comprehensive consideration of the goods supplement and the transportation cost are ensured as much as possible. For this, the following is an optimization scheme:
in some embodiments, before the step of sending the replenishment information to the virtual warehouse through the ERP system, the method further comprises:
s11, determining the related variable of replenishment.
The present embodiment determines replenishment variables in consideration of global factors affecting replenishment. The replenishment variables include: future demand forecast data for the good, inventory data for each store, total amount of good in the large warehouse (i.e., allocable capacity), large warehouse-store correspondence data, and the like are collected.
And S12, calculating and determining the maximum replenishment quantity of the store according to the replenishment related variable.
Specifically, the first objective function and the first constraint condition are created based on the replenishment related variable, so that an optimal solution of the first objective function can be determined under the constraint of the first constraint condition, and the optimal solution is the maximum replenishment quantity. Namely: the optimal solution for each store restocking amount is adjusted with the constraint that the total amount of restocking for all stores cannot exceed the total allocable amount for all large stores, with the goal of maximizing the probability that each store will not be out of stock in the future.
And S13, calculating and determining the store large warehouse replenishment quantity according to the store maximum replenishment quantity.
And creating a second objective function and a second constraint condition based on the replenishment related variable, and determining the store large warehouse replenishment quantity by combining the store maximum replenishment quantity.
In this embodiment, on the premise of giving a future demand prediction result of goods, the probability of future non-shortage of each store is maximized based on the related variable of the replenishment, and then the replenishment quantity of each store in each large warehouse is adjusted based on the constraint of logistics cost, so that the problem that the replenishment quantity and the dimension of the logistics cost are different is avoided, the accurate replenishment quantity can be obtained, and the determined replenishment quantity of the large warehouse of the store is closest to the future demand prediction result of goods.
In some embodiments, for step S12, calculating and determining the maximum restocking volume of the store according to the restocking related variable specifically includes:
s121, creating a first objective function and a first constraint condition based on the replenishment related variable.
Wherein the first objective function is max Σj e J (Fj (sj+yj) -hi (sj+yj) -pi max (0, demandThreshold- (sj+yj)));
parameter interpretation:
j is any store, J is all stores, fj (sj+yj) is a cumulative probability function assuming that future demand forecast result data distribution of the cargo is known, fj (sj+yj): this is a cumulative probability function representing the joint probability distribution of store j's stock level (sj) and restocking quantity (yj). In particular, it represents the probability that future demands will be met taking into account the current inventory level and the replenishment amount. The form and parameterization of this function will typically be based on historical demand data and statistical analysis.
hi: this is the inventory holding cost rate, which represents the cost of holding a unit of inventory per unit of time. The cost of holding inventory, including the cost of storage, insurance, spoilage, etc., is primarily considered.
pi: this is a backorder cost rate, which represents the cost per unit time due to backorders. Mainly considering sales profits, reputation damage, etc., which may be lost due to unmet customer needs.
DemandThreshold: this is a threshold for customer demand. If the inventory level and the replenishment amount result in future demand below this threshold, then this is considered to be an out-of-stock cost.
The meaning of the first objective function is to maximize the future probability of no backorder of each store, and different distributions are corresponding to different cumulative probability functions, so that different expressions can be taken, for example, the future requirement can be a normal distribution or a lognormal distribution.
sj is the store stock level before the allocation, yj is the store restocking amount. sj+yj is the store inventory level after the commit, yj= Σie Ixij.
The first constraint is: sigma j E Jyj is less than or equal to Sigma i E Ici, which means that the total amount of all store restocking cannot exceed the total amount of all large warehouse allocatable, wherein ci is the allocatable capacity of each large warehouse.
122. A store maximum restocking amount is determined based on the first objective function and the first constraint.
Specifically, the maximum store replenishment quantity can be determined by adjusting the first objective function to perform the solution optimization model under the constraint of the first constraint condition.
In some embodiments, for step S13, calculating and determining the store large warehouse replenishment amount according to the store maximum replenishment amount specifically includes:
s131, creating a second objective function and a second constraint condition based on the replenishment related variable.
Wherein the second objective function is min Σi Σj e J (dij x xij+α (sj+yj)); wherein I is any big bin, and I is all big bins;
dij: this is the unit order cost of store j from large bin i. It represents the cost of distributing goods from a large warehouse to a store.
xij: this is the restocking amount of store j from large bin i. It shows the actual amount dispensed from the warehouse to the store.
sj: this is the inventory level of store j. It represents the current inventory level of the store, including the existing inventory and the inventory to be restocked.
yj: this is the restocking amount for store j. It represents an additional inventory of stores that the store plans to order.
Alpha: this is a time value parameter that is used to take into account the cost of inventory holding time. It represents the value per unit time, typically in monetary units.
The second constraint condition is:
sigma i epsilon Ixij is greater than or equal to yj, J epsilon J; indicating that the total amount of restocking from the store to the large warehouse is not less than the amount required by the store. That is, store j has a total restocking amount from all the large stores not lower than the restocking amount of that store.
Sigma j is E Jxij is less than or equal to ci, I is E I; indicating that the total restocking of stores does not exceed the split total of the large warehouse, indicating that the total restocking of all stores to the large warehouse i cannot exceed the allocable capacity of that large warehouse.
Step 105, determining a store large warehouse replenishment quantity based on the second objective function, the second constraint condition and the store maximum replenishment quantity.
In a specific implementation process, the maximum store replenishment quantity is fixed in the second constraint condition; and determining the store large warehouse replenishment quantity based on the second objective function and the fixed second constraint condition.
Specifically, the value of yj is carried into a second constraint condition to be fixed, the second objective function is adjusted by constraining the amount of replenishment of a single store from all the large bins and the amount of replenishment of all stores to a single large bin, and the minimum value of xij is determined under the constraint of logistics cost, so that the determined amount of replenishment of the large bins of the stores is closest to the future demand prediction result for the goods.
Therefore, in the embodiment of the application, on the premise of giving a future demand prediction result of goods, the probability of future non-shortage of each store is maximized based on the related variable of the goods, and then the goods supplementing quantity of each store in each large warehouse is adjusted based on the constraint of logistics cost, so that the problem that the goods supplementing quantity and the dimension of the logistics cost are different is avoided, the accurate goods supplementing quantity can be obtained, and the determined goods supplementing quantity of the large warehouse of the store is closest to the future demand prediction result of the goods.
Through the goods supplementing method based on the ERP system, goods supplementing errors can be avoided, a large amount of road expenses can be reduced, and goods in large cabins and stores can be reasonably distributed as much as possible.
Therefore, the method of the embodiment of the application can bring the following beneficial effects:
(1) According to the scheme, the large bin, the virtual bin and the store information are input into the ERP system, unified checking management can be carried out through the ERP system, and the whole data visualization of the large bin, the virtual bin and the stores is realized.
(2) According to the scheme, the virtual bin is arranged between the big bin and the store as information transfer, when the big bin needs to supplement goods to the store, the goods supplementing information is sent to the virtual bin, the store can acquire the current goods supplementing information through the virtual bin, so that whether the goods are suitable for the store of the user or not is judged, then a confirmation result is made, the situation that goods are directly sent to the store in a physical mode, and the fact that goods are sent incorrectly, the store does not need the goods, or the goods are too little or too much in sending quantity is avoided, and the like is avoided, so that the back and forth transportation cost between the big bin and the store is increased, and waste is caused.
(3) According to the scheme, on the premise that the future demand forecasting result of the goods is given, the probability of future non-shortage of each store is maximized based on the related goods supplementing variable, then the goods supplementing quantity of each store in each large warehouse is adjusted based on the constraint of logistics cost, and the problem that the goods supplementing quantity is different from the dimension of the logistics cost is avoided, so that the accurate goods supplementing quantity can be obtained, and the determined goods supplementing quantity of the large store is closest to the future demand forecasting result of the goods.
The method described in the above embodiments will be described in further detail below.
As shown in fig. 3, a schematic structural diagram of an EPR system-based restocking device according to an embodiment of the present application is shown, where the device includes:
the information input module 201 is used for inputting information of the big warehouse, the virtual warehouse and each store into the ERP system;
the big bin information sending module 202 is configured to send the replenishment information to the virtual bin;
the virtual warehouse information sending module 203 is configured to send the replenishment information to each store;
a deadline setting module 204, configured to set a confirmation deadline;
the information identification module 205 is used for identifying and analyzing the replenishment information to obtain cargo information;
and the delivery decision module 206 is used for controlling the large warehouse to make the action of whether to restock.
Therefore, the method of the embodiment of the application can bring the following beneficial effects:
(1) According to the scheme, the large bin, the virtual bin and the store information are input into the ERP system, unified checking management can be carried out through the ERP system, and the whole data visualization of the large bin, the virtual bin and the stores is realized.
(2) According to the scheme, the virtual bin is arranged between the big bin and the store as information transfer, when the big bin needs to supplement goods to the store, the goods supplementing information is sent to the virtual bin, the store can acquire the current goods supplementing information through the virtual bin, so that whether the goods are suitable for the store of the user or not is judged, then a confirmation result is made, the situation that goods are directly sent to the store in a physical mode, and the fact that goods are sent incorrectly, the store does not need the goods, or the goods are too little or too much in sending quantity is avoided, and the like is avoided, so that the back and forth transportation cost between the big bin and the store is increased, and waste is caused.
(3) According to the scheme, on the premise that the future demand forecasting result of the goods is given, the probability of future non-shortage of each store is maximized based on the related goods supplementing variable, then the goods supplementing quantity of each store in each large warehouse is adjusted based on the constraint of logistics cost, and the problem that the goods supplementing quantity is different from the dimension of the logistics cost is avoided, so that the accurate goods supplementing quantity can be obtained, and the determined goods supplementing quantity of the large store is closest to the future demand forecasting result of the goods.
Corresponding to the above method embodiment, the embodiment of the present application further provides a computer device, and a computer device described below and an EPR system-based restocking method described above may be referred to correspondingly.
The computer device includes:
a memory for storing a computer program;
the processor is used for realizing the steps of the replenishment method based on the EPR system in the method embodiment when executing the computer program:
inputting information of the big bin, the virtual bin and each store into an ERP system;
the large warehouse sends replenishment information to the virtual warehouse through an ERP system;
the virtual bin receives the replenishment information, sends the replenishment information to each store, and sets a confirmation period to wait for confirmation of each store;
identifying the goods information according to the goods supplementing information by a store, and confirming the goods information by relevant personnel of the store;
and according to the confirmation result of the related personnel or the fact that the confirmation period is exceeded, the large warehouse makes a motion of whether to restock the corresponding store or not.
Fig. 4 is a schematic structural diagram of an apparatus according to an embodiment of the present application, where the apparatus may be a computing apparatus with a data processing function.
The apparatus may include: a processor 301, and a memory 302.
The memory 302 is used for storing a program, and the processor 301 calls the program stored in the memory 302 to execute the above-described method embodiment. The specific implementation manner and the technical effect are similar, and are not repeated here.
Therein, the memory 302 stores program code that, when executed by the processor 301, causes the processor 301 to perform various steps in the methods according to various exemplary embodiments of the application described in the above section of the exemplary method of this specification.
The processor 301 may be a general purpose processor such as a Central Processing Unit (CPU), digital signal processor (DigitalSignal Processor, DSP), application specific integrated circuit (Application Specific Integrated Circuit, ASIC), field programmable gate array (Field Programmable Gate Array, FPGA) or other programmable logic device, discrete gate or transistor logic, discrete hardware components, and may implement or perform the methods, steps, and logic blocks disclosed in embodiments of the application. The general purpose processor may be a microprocessor or any conventional processor or the like. The steps of a method disclosed in connection with the embodiments of the present application may be embodied directly in a hardware processor for execution, or in a combination of hardware and software modules in the processor for execution.
The memory 302 is used as a nonvolatile storage medium for storing nonvolatile software programs, nonvolatile computer-executable programs, and modules. The Memory may include at least one type of storage medium, which may include, for example, flash Memory, hard disk, multimedia card, card Memory, random access Memory (Random Access Memory, RAM), static random access Memory (StaticRandom Access Memory, SRAM), programmable Read-Only Memory (Programmable Read Only Memory, PROM), read-Only Memory (ROM), charged erasable programmable Read-Only Memory (Electrically Erasable Programmable Read-Only Memory, EEPROM), magnetic Memory, magnetic disk, optical disk, and the like. The memory is any other medium that can be used to carry or store desired program code in the form of instructions or data structures and that can be accessed by a computer, but is not limited to such. The memory 302 in embodiments of the present application may also be circuitry or any other device capable of performing memory functions for storing program instructions and/or data.
Optionally, the present application also provides a program product, such as a storage medium, comprising a program for performing the above-described method embodiments when being executed by a processor.
In the several embodiments provided by the present application, it should be understood that the disclosed apparatus and method may be implemented in other manners. For example, the apparatus embodiments described above are merely illustrative, e.g., the division of the units is merely a logical function division, and there may be additional divisions when actually implemented, e.g., multiple units or components may be combined or integrated into another system, or some features may be omitted or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be an indirect coupling or communication connection via some interfaces, devices or units, which may be in electrical, mechanical or other form.
The units described as separate units may or may not be physically separate, and units shown as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, each functional unit in the embodiments of the present application may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit. The integrated units may be implemented in hardware or in hardware plus software functional units.
The integrated units implemented in the form of software functional units described above may be stored in a computer readable storage medium. The software functional unit is stored in a storage medium, and includes several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) or a processor (english: processor) to perform some of the steps of the methods according to the embodiments of the application. And the aforementioned storage medium includes: u disk, mobile hard disk, read-Only Memory (ROM), random access Memory (Random Access Memory, RAM), magnetic disk or optical disk, etc.
Claims (10)
1. A method for replenishing goods based on an EPR system is characterized in that,
inputting information of the big bin, the virtual bin and each store into an ERP system;
the large bin sends replenishment information to the virtual bin through an ERP system;
the virtual bin receives the replenishment information, sends the replenishment information to each store, and sets a confirmation period to wait for confirmation of each store;
the store identifies goods information according to the replenishment information, and relevant personnel of the store confirm the goods information;
and according to the confirmation result of the related personnel or the exceeding of the confirmation period, the large warehouse makes the action of whether to restock the corresponding store or not.
2. The EPR system-based restocking method according to claim 1, wherein the step of the large warehouse making an action of whether to restock the corresponding store according to the confirmation result of the related person or exceeding the confirmation period comprises:
when the confirmation result made by the related personnel is that the replenishment is accepted, the large warehouse makes a replenishment action for the store;
when the confirmation result made by the related personnel is refusing to replenish the goods, the big warehouse makes the action of canceling replenishment to the store;
and when the related personnel do not make any confirmation within the confirmation period, the big warehouse makes an action of canceling the replenishment of the store.
3. The EPR system-based restocking method according to claim 1, wherein the related personnel can comprise a plurality of persons, one of which can make a confirmation result, and the large warehouse can make corresponding actions.
4. The EPR system-based restocking method according to claim 1, wherein in the confirmation period, the virtual warehouse sends a plurality of confirmation reminding messages to a store which does not make a confirmation result, and a preset time is reserved between two adjacent confirmation reminding messages.
5. The EPR system-based restocking method according to claim 1, further comprising: and establishing a plurality of transfer bins, and inputting information of the plurality of transfer bins into the ERP system for temporarily storing goods.
6. The EPR system-based restocking method according to claim 1, wherein before the step of sending restocking information to the virtual warehouse by the ERP system, the method further comprises:
determining a replenishment related variable;
calculating and determining the maximum replenishment quantity of a store according to the replenishment related variable;
and calculating and determining the store large warehouse replenishment quantity according to the store maximum replenishment quantity.
7. The EPR system-based restocking method according to claim 6, wherein the step of calculating and determining the maximum restocking amount of the store according to the restocking related variable comprises:
creating a first objective function and a first constraint condition based on the replenishment related variable;
the store maximum restocking amount is determined based on the first objective function and the first constraint.
8. An EPR system-based restocking device, the device comprising:
the information input module is used for inputting information of the big warehouse, the virtual warehouse and each store into the ERP system;
the large bin information sending module is used for sending the replenishment information to the virtual bin;
the virtual bin information sending module is used for sending the replenishment information to each store;
the time limit setting module is used for setting a confirmation time limit;
the information identification module is used for identifying and analyzing the replenishment information to obtain the cargo information;
and the delivery decision module is used for controlling the large warehouse to make the action of whether to supplement goods.
9. An apparatus, comprising: a processor, a storage medium and a bus, the storage medium storing program instructions executable by the processor, the processor and the storage medium communicating over the bus when the device is running, the processor executing the program instructions to perform the steps of the method according to any one of claims 1 to 7 when executed.
10. A storage medium having stored thereon a computer program which, when executed by a processor, performs the steps of the method according to any of claims 1 to 7.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202311203714.8A CN117196479A (en) | 2023-09-18 | 2023-09-18 | Goods supplementing method, device, equipment and storage medium based on EPR system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202311203714.8A CN117196479A (en) | 2023-09-18 | 2023-09-18 | Goods supplementing method, device, equipment and storage medium based on EPR system |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN117196479A true CN117196479A (en) | 2023-12-08 |
Family
ID=89001311
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202311203714.8A Pending CN117196479A (en) | 2023-09-18 | 2023-09-18 | Goods supplementing method, device, equipment and storage medium based on EPR system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN117196479A (en) |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107527146A (en) * | 2017-08-23 | 2017-12-29 | 北京惠赢天下网络技术有限公司 | A kind of processing method of cargo transaction information, device, and system |
| CN108960955A (en) * | 2018-03-08 | 2018-12-07 | 成都美美臣科技有限公司 | A kind of virtual inventory automatic replenishing method and device based on shopping at network seller |
| CN109993516A (en) * | 2018-01-02 | 2019-07-09 | 阿里巴巴集团控股有限公司 | Information processing method, the apparatus and system of commodity |
| CN111382973A (en) * | 2020-03-03 | 2020-07-07 | 舟谱数据技术南京有限公司 | Intelligent store replenishment system based on traditional business of dealer |
| CN112950127A (en) * | 2021-04-09 | 2021-06-11 | 中国工商银行股份有限公司 | Inventory scheduling method and device, electronic equipment and storage medium |
| CN113626966A (en) * | 2020-05-06 | 2021-11-09 | 株式会社日立制作所 | Inventory replenishment method, computer-readable storage medium and terminal device |
| CN113743733A (en) * | 2021-08-06 | 2021-12-03 | 杉数科技(北京)有限公司 | Replenishment method and system |
-
2023
- 2023-09-18 CN CN202311203714.8A patent/CN117196479A/en active Pending
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107527146A (en) * | 2017-08-23 | 2017-12-29 | 北京惠赢天下网络技术有限公司 | A kind of processing method of cargo transaction information, device, and system |
| CN109993516A (en) * | 2018-01-02 | 2019-07-09 | 阿里巴巴集团控股有限公司 | Information processing method, the apparatus and system of commodity |
| CN108960955A (en) * | 2018-03-08 | 2018-12-07 | 成都美美臣科技有限公司 | A kind of virtual inventory automatic replenishing method and device based on shopping at network seller |
| CN111382973A (en) * | 2020-03-03 | 2020-07-07 | 舟谱数据技术南京有限公司 | Intelligent store replenishment system based on traditional business of dealer |
| CN113626966A (en) * | 2020-05-06 | 2021-11-09 | 株式会社日立制作所 | Inventory replenishment method, computer-readable storage medium and terminal device |
| CN112950127A (en) * | 2021-04-09 | 2021-06-11 | 中国工商银行股份有限公司 | Inventory scheduling method and device, electronic equipment and storage medium |
| CN113743733A (en) * | 2021-08-06 | 2021-12-03 | 杉数科技(北京)有限公司 | Replenishment method and system |
Non-Patent Citations (3)
| Title |
|---|
| 古西睿;宋建社;郭军;王正元;: "基于虚拟仓储的备件库存优化体系", 火力与指挥控制, vol. 36, no. 05, 15 May 2011 (2011-05-15), pages 34 - 37 * |
| 吕冰: "基于Supply_Hub的A集团供应物流改善研究", 中国优秀硕博士学位论文全文数据库(硕士)经济与管理科学辑, no. 5, 15 May 2014 (2014-05-15), pages 145 - 110 * |
| 毛祖铁: "如何在传统仓库基础上建立WMS系统", 信息与电脑, no. 11, 15 November 2012 (2012-11-15), pages 63 - 68 * |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN112001681B (en) | Warehouse management method, device, platform and computer readable storage medium | |
| Bartmann et al. | Inventory control: models and methods | |
| CN107705056A (en) | Inventory state monitoring method and device, server and client | |
| MXPA04008805A (en) | Inventory management system for reducing overall warehouse and pipeline inventory. | |
| Aghezzaf | Robust distribution planning for supplier-managed inventory agreements when demand rates and travel times are stationary | |
| CN101593300A (en) | Delivery management method of supply chain | |
| CN113469591A (en) | Inventory replenishment control method and device, electronic equipment and storage medium | |
| CN111985862A (en) | Method and apparatus for locating inventory items | |
| Yadollahi et al. | Evaluating approximate solution models for the stochastic periodic inventory routing problem | |
| CN116109252A (en) | Warehouse replenishment management method and device, warehouse management system and storage medium | |
| CN101593302A (en) | Supplier inventory management method | |
| CN114219397A (en) | Inventory management method, device, equipment and storage medium | |
| CN116957471A (en) | Intelligent retail service method, system, electronic equipment and storage medium | |
| CN116721497A (en) | Automatic vending machine goods supplementing system and goods supplementing method | |
| US20190138977A1 (en) | Automated inventory replenishment | |
| CN116258444A (en) | Inventory management method and system for short-shelf-life commodities | |
| CN113469397A (en) | Intelligent supply chain system and server platform | |
| US10902379B2 (en) | System for customized unrequested item resolution | |
| GB2380570A (en) | Computerised automatic management system and method for logistics control | |
| CN101593301A (en) | Delivery management system of supply chain | |
| CN113780914A (en) | Inventory allocation method and device | |
| CN117035608A (en) | Material distribution, feeding, marketing and storage management method, device, equipment and storage medium | |
| CN117196479A (en) | Goods supplementing method, device, equipment and storage medium based on EPR system | |
| CN113743733B (en) | Replenishment method and system | |
| CN112001666A (en) | Method, device, equipment and storage medium for determining reserved inventory |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |