CN115713290A - Intelligent replenishment system for warehouse management - Google Patents
Intelligent replenishment system for warehouse management Download PDFInfo
- Publication number
- CN115713290A CN115713290A CN202211376004.0A CN202211376004A CN115713290A CN 115713290 A CN115713290 A CN 115713290A CN 202211376004 A CN202211376004 A CN 202211376004A CN 115713290 A CN115713290 A CN 115713290A
- Authority
- CN
- China
- Prior art keywords
- replenishment
- commodities
- type
- warehouse
- threshold
- 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
Images
Landscapes
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The invention provides an intelligent replenishment system for warehouse management. An intelligent replenishment system for warehouse management, comprising: the quantity recording module is used for recording the initial quantity of various commodities in the warehouse; the order recording module is used for recording transaction order information of various commodities in the warehouse; the processing module is used for calculating the residual quantity of various commodities and the residual proportion of the various commodities and calculating the type quantity of commodities to be restocked in the warehouse; the replenishment comparison module is used for comparing the type quantity of the goods to be replenished in the warehouse with a replenishment type threshold value; and the execution module is used for generating a replenishment list based on the comparison result of the replenishment comparison module. According to the invention, through calculating the relationship between the residual quantity and the initial quantity of the commodities in various warehouses, different replenishment thresholds are set for each commodity, and when the type of the commodity needing replenishment is greater than the replenishment type threshold, a replenishment order is generated, so that the replenishment efficiency is improved, the replenishment cost is reduced, and the intelligent management of warehouse replenishment is realized.
Description
Technical Field
The invention relates to the technical field of inventory management, in particular to an intelligent replenishment system for warehouse management.
Background
Warehouse management is an important link in the commodity sales industry, and when the quantity of commodities in a warehouse is reduced, the commodities need to be replenished as soon as possible, so that the phenomenon of commodity shortage is prevented. The replenishment of the commodities is completed in proper time and in proper residual quantity of the commodities, so that the profit is improved and the cost is reduced.
At present, when goods in a warehouse are replenished, the goods are replenished generally at regular intervals according to the residual quantity of the goods, the replenishment time is determined according to manual experience, certain errors exist when judgment and prediction are carried out according to the manual experience, the replenishment efficiency is not high, and the transportation cost of the replenishment is increased. How to reasonably determine the replenishment time according to the residual quantity of various commodities is the key for reducing the replenishment cost and improving the replenishment efficiency.
Disclosure of Invention
In order to solve the problems, the application provides the intelligent replenishment system for warehouse management, and the replenishment method can reduce the replenishment cost and improve the replenishment efficiency.
The technical scheme of the invention is as follows: an intelligent replenishment system for warehouse management, comprising:
the quantity recording module is used for recording the initial quantity of various commodities in the warehouse;
the order recording module is used for recording the transaction order information of various commodities in the warehouse, including the type and quantity information of the transaction commodities;
the processing module is used for calculating the residual quantity of various commodities and the residual proportion of the various commodities according to the initial quantity of the various commodities in the warehouse and the transaction order information of the various commodities, wherein the residual proportion is the ratio of the residual quantity to the initial quantity, and the type quantity of the commodities to be replenished in the warehouse is calculated;
the type quantity of the commodities to be replenished in the warehouse is calculated in a mode that the residual proportion of the commodities is compared with a replenishment threshold corresponding to the commodities, if the residual proportion of the commodities is smaller than the corresponding replenishment threshold, the commodities are marked as the commodities to be replenished, after all kinds of commodities in the warehouse are traversed, the type quantity of the commodities to be replenished in the warehouse is obtained through statistics;
the replenishment comparison module is used for comparing the type quantity of the goods to be replenished in the warehouse with a replenishment type threshold value;
the execution module is used for generating a replenishment list based on a comparison result of the replenishment comparison module, if the type quantity of the goods to be replenished in the warehouse is greater than a replenishment type threshold value C, the replenishment list is generated, and otherwise, the replenishment list is not generated;
the replenishment list comprises the type information and the quantity information of the goods needing replenishment.
Further, the method comprises the following steps of:
s1, acquiring the initial quantity of various commodities in a warehouse, which is recorded by a quantity recording module;
s2, acquiring the transaction order information of various commodities in the warehouse, which is recorded by the order recording module;
s3, calculating the residual quantity of various commodities and the residual proportion of the various commodities by the processing module according to the initial quantity of the various commodities in the warehouse and the transaction order information of the various commodities in the warehouse, and calculating the type quantity of the commodities to be restocked in the warehouse according to the residual proportion of the various commodities;
s4, the replenishment comparison module compares the type quantity of the goods to be replenished in the warehouse with a replenishment type threshold value;
and S5, the execution module generates a replenishment list according to the comparison result of the replenishment comparison module, if the type quantity of the goods to be replenished in the warehouse is greater than the replenishment type threshold value C, the replenishment list is generated, and otherwise, the replenishment list is not generated.
Further, the replenishment threshold is set based on the daily average consumption amount of each commodity in the warehouse, the replenishment threshold is positively correlated with the daily average consumption amount, and the replenishment threshold for a commodity having a larger daily average consumption amount is smaller as the replenishment threshold for a commodity having a smaller daily average consumption amount is larger.
Further, still include:
the classification module is used for classifying the commodities according to the daily average consumption quantity of various commodities in the warehouse;
if the average daily consumption quantity of any commodity is larger than the sales threshold, the commodity is defined as a first type of commodity, otherwise, the commodity is defined as a second type of commodity.
Further, still include:
the processing module respectively calculates the types and the quantity of commodities needing replenishment in the first class of commodities and the second class of commodities;
when the type quantity A of the commodities needing replenishment in the first class of commodities is smaller than or equal to the first replenishment type sub-threshold, if the type quantity B of the commodities needing replenishment in the second class of commodities is larger than the second replenishment type sub-threshold and the condition that A + B is larger than or equal to C is met, a replenishment list is generated;
and when the commodity type quantity A needing replenishment in the first type of commodities is larger than the first replenishment type sub-threshold, directly generating a replenishment list.
Further, for the first replenishment category sub-threshold and the second replenishment category sub-threshold, the following condition is satisfied, where the first replenishment category sub-threshold + the second replenishment category sub-threshold = a replenishment category threshold C;
the first replenishment type sub-threshold and the second replenishment type sub-threshold are determined according to the types and the quantities of the commodities in the first class of commodities and the second class of commodities.
Further, the method also comprises the following steps:
a replenishment adjustment module: the system is used for adjusting the types and the quantity of commodities needing replenishment in the first class of commodities calculated by the processing module;
for two commodities which are mutually substitutes in the first class of commodities, when the sum of the remaining quantity of the two commodities is less than the sum of the replenishment threshold values corresponding to the two commodities, the two commodities are assigned to the commodities to be replenished, otherwise, the two commodities are not assigned to the commodities to be replenished, and the adjustment of the quantity of the types of the commodities which need to be replenished in the first class of commodities calculated by the processing module is realized.
Further, the method also comprises the following steps:
when the commodity type quantity A needing replenishment in the first class of commodities is larger than a first replenishment type sub-threshold, the replenishment adjusting module is used for adjusting the commodity type quantity A needing replenishment in the first class of commodities obtained through calculation, the adjusted commodity type quantity A needing replenishment in the first class of commodities is compared with the first replenishment type sub-threshold, and when the regulated commodity type quantity A needing replenishment in the first class of commodities is still smaller than or equal to the first replenishment type sub-threshold, if the commodity type quantity B needing replenishment in the second class of commodities is larger than a second replenishment type sub-threshold and meets the condition that A + B is larger than or equal to C, a replenishment list is generated; and when the number A of the types of the commodities needing replenishment in the adjusted first type of commodities is larger than the first replenishment type sub-threshold, directly generating a replenishment list.
The invention has the advantages that:
1. according to the invention, by calculating the relation between the residual quantity and the initial quantity of the commodities in various warehouses, different replenishment thresholds are set for each commodity, and when the type of the commodity needing replenishment is greater than the replenishment type threshold, a replenishment order is generated, so that the replenishment efficiency is improved, the replenishment cost is reduced, and the intelligent management of warehouse replenishment is realized.
2. According to the method, the commodities are divided into the first class of commodities and the second class of commodities according to the daily average consumption number of the commodities in the warehouse, and the replenishment conditions of the first class of commodities and the second class of commodities are set respectively, so that the replenishment order is generated more reasonably, and the replenishment cost is further reduced.
Drawings
In order to more clearly illustrate the embodiments or technical solutions of the present invention, the drawings used in the embodiments or technical solutions of the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the structures shown in the drawings without creative efforts.
Fig. 1 is a schematic structural diagram of an intelligent replenishment system for warehouse management according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, some embodiments of the present application will be described in detail below with reference to the accompanying drawings and embodiments.
Example 1
Referring to fig. 1, an embodiment 1 of the present invention provides an intelligent replenishment system for warehouse management, including the following:
the quantity recording module is used for recording the initial quantity of various commodities in the warehouse;
the order recording module is used for recording transaction order information of various commodities in the warehouse, including the type and quantity information of the transaction commodities;
the processing module is used for calculating the residual quantity of various commodities and the residual proportion of the various commodities according to the initial quantity of the various commodities in the warehouse and the transaction order information of the various commodities, wherein the residual proportion is the ratio of the residual quantity to the initial quantity, and the type quantity of the commodities to be replenished in the warehouse is calculated;
the type quantity of the commodities to be replenished in the warehouse is calculated in a mode that the residual proportion of the commodities is compared with a replenishment threshold corresponding to the commodities, if the residual proportion of the commodities is smaller than the corresponding replenishment threshold, the commodities are marked as the commodities to be replenished, after all kinds of commodities in the warehouse are traversed, the type quantity of the commodities to be replenished in the warehouse is obtained through statistics;
the replenishment comparison module is used for comparing the type quantity of the goods to be replenished in the warehouse with a replenishment type threshold value;
and the execution module is used for generating a replenishment list based on the comparison result of the replenishment comparison module, if the type quantity of the goods to be replenished in the warehouse is greater than the replenishment type threshold value C, the replenishment list is generated, otherwise, the replenishment list is not generated, wherein the replenishment list comprises the type information and the quantity information of the goods needing replenishment.
In one embodiment, the intelligent replenishment system for warehouse management provided by the embodiment of the invention comprises the following replenishment steps:
s1, acquiring the initial quantity of each commodity in the warehouse recorded by the quantity recording module, and representing the initial quantity of each commodity by a set C, wherein C = { C = 1 ,C 2 ,C 3 ,…,C n }；
S2, acquiring the transaction order information of various commodities in the warehouse, which is recorded by the order recording module;
s3, calculating the residual quantity of each commodity by the processing module according to the initial quantity of each commodity in the warehouse and the transaction order information of each commodity in the warehouse, and representing the residual quantity of each commodity by a set S, wherein S = { S = 1 ,S 2 ,S 3 ,…,S n }; and a remaining proportion of each commodity, wherein the remaining proportion is expressed as a commodity remaining proportion = (the number of commodities remaining/the initial number of commodities),the remaining proportions of the respective commodities are represented by a set P, P = { P = { (P) 1 ,P 2 ,P 3 ,…,P n Therein of
Calculating the type number of commodities to be replenished in the warehouse according to the residual proportion of each commodity, specifically comparing each item in the set P with a replenishment threshold corresponding to each item, if the residual proportion of the commodities is smaller than the corresponding replenishment threshold, marking the commodity as the commodity to be replenished, traversing each item in the set P, and then obtaining the type number of the commodities to be replenished in the warehouse through statistics;
s4, the replenishment comparison module compares the type quantity of the goods to be replenished in the warehouse with a replenishment type threshold value;
and S5, the execution module generates a replenishment list according to the comparison result of the replenishment comparison module, if the type quantity of the goods to be replenished in the warehouse is greater than the replenishment type threshold value C, the replenishment list is generated, and otherwise, the replenishment list is not generated.
In this embodiment, the remaining proportion of the commodities is obtained from the remaining quantity of the commodities in the warehouse and the initial quantity of the commodities, and whether the commodities need to be replenished is determined according to the relationship between the size of the remaining proportion of the commodities of different types and the corresponding replenishment threshold, optionally, the replenishment thresholds of the commodities of various types can be freely set or can be set according to the consumption quantity of the commodities, the replenishment thresholds of the commodities of different types are not completely the same, when the remaining proportion of the commodities is less than the replenishment threshold, it is indicated that the commodities need to be replenished, when replenishment is performed, the quantity of the commodity types needing replenishment needs to be taken into consideration, when the quantity of the commodity types needing to be replenished is not large, the replenishment list does not need to be immediately generated, and only when the quantity of the commodity types needing replenishment is greater than the replenishment threshold C, the replenishment list is generated to improve the replenishment efficiency, the replenishment order is reasonably generated, which is beneficial to replenish the warehouse at a proper time point, achieve reasonable arrangement of the replenishment times, and reduce the replenishment cost.
In one embodiment, the replenishment threshold is set according to the consumption number of the commodities in the warehouse, specifically, when the replenishment threshold of the commodities is set according to the consumption number of the commodities in the warehouse, the daily average consumption number of each commodity in a period of time is calculated, in this embodiment, the period of time is preferably seven days, the replenishment threshold of the commodities is positively correlated with the daily average consumption number of the commodities, the daily average consumption number of the commodities is higher, the replenishment threshold is higher, conversely, the daily average consumption number of the commodities is lower, the replenishment threshold is lower, for the commodities with high daily average consumption numbers, the replenishment is needed as soon as the quantity of the commodities drops to a certain quantity, the shortage is avoided, for the commodities with low daily average consumption numbers, the replenishment is not needed immediately after the quantity of the commodities drops to a certain quantity, and the shortage is not easy to occur due to the daily average consumption number is low, so that the replenishment threshold of different kinds of commodities can be reasonably set, and the probability of the shortage phenomenon is reduced.
The intelligent replenishment system for warehouse management provided by the embodiment of the invention further comprises:
the classification module is used for classifying the commodities according to the daily average consumption quantity of various commodities in the warehouse;
if the daily average consumption number of any commodity is larger than the sales threshold, the commodity is defined as a first class commodity, otherwise, the commodity is defined as a second class commodity, the first class commodity represents a commodity with high consumption speed, the second class commodity represents a commodity with low consumption speed, and the sales threshold can be specifically set according to the actual consumption condition of the commodities in the warehouse. In the process of replenishment, the method further comprises the following steps:
the processing module respectively calculates the types and the quantity of commodities needing replenishment in the first class of commodities and the second class of commodities;
when the type quantity A of the commodities needing replenishment in the first class of commodities is smaller than or equal to the first replenishment type sub-threshold, if the type quantity B of the commodities needing replenishment in the second class of commodities is larger than the second replenishment type sub-threshold and the condition that A + B is larger than or equal to C is met, a replenishment list is generated;
and when the commodity type quantity A needing replenishment in the first type of commodities is larger than the first replenishment type sub-threshold, directly generating a replenishment list.
Wherein, for the first replenishment category sub-threshold and the second replenishment category sub-threshold, the following condition is satisfied, where the first replenishment category sub-threshold + the second replenishment category sub-threshold = a replenishment category threshold C; the first replenishment type sub-threshold and the second replenishment type sub-threshold are determined according to the types and the quantities of the commodities in the first type of commodities and the second type of commodities, and the larger the types and the quantities of the commodities are, the larger the values of the first replenishment type sub-threshold and the second replenishment type sub-threshold are.
In the above description, the replenishment periods of the first type of commodity and the second type of commodity are different, and in order to avoid the occurrence of the shortage of the commodities, the first replenishment type sub-threshold and the second replenishment type sub-threshold are respectively set for the two types of commodities.
When the type of goods needing replenishment is smaller than or equal to the first replenishment type sub-threshold value in the goods corresponding to the first type of goods, the first type of goods is temporarily not needed for replenishment, and at the moment, if the type of goods needing replenishment is larger than the second replenishment type sub-threshold value in the goods corresponding to the second type of goods and the sum of the types of goods needing replenishment is larger than the replenishment type threshold value C in the goods corresponding to the first type of goods and the second type of goods, a replenishment list is generated; when the type of the commodity needing replenishment is larger than the first replenishment type sub-threshold value in the commodities corresponding to the first type of commodity, because the replenishment cycle of the first type of commodity is smaller than the replenishment cycle of the second type of commodity, whether replenishment needs to be carried out on the second type of commodity is not needed to be considered at this moment, a replenishment list is directly generated, and the phenomenon that the commodity is out of stock in the commodities corresponding to the first type of commodity is avoided.
The replenishment method for commodity inventory management provided by the embodiment of the invention can reduce the probability of commodity shortage in a warehouse, more reasonably arrange replenishment, reduce replenishment cost and realize intelligent management of warehouse commodity replenishment.
In one embodiment, the intelligent replenishment system for warehouse management provided by the embodiment of the present invention further includes:
a replenishment adjusting module: the commodity type quantity which needs replenishment in the first class of commodities calculated by the processing module is adjusted;
for two commodities which are mutually substitutes in the first class of commodities, when the sum of the remaining quantity of the two commodities is smaller than the sum of the replenishment threshold values corresponding to the two commodities, the two commodities are assigned to the commodity to be replenished, otherwise, the two commodities are not assigned to the commodity to be replenished, and the adjustment of the type quantity of the commodities needing replenishment in the first class of commodities calculated by the processing module is realized.
Specifically, when the commodity type quantity A needing replenishment in the first class of commodities is smaller than or equal to a first replenishment type sub-threshold, the replenishment adjusting module adjusts the commodity type quantity A needing replenishment in the first class of commodities obtained through calculation, the adjusted commodity type quantity A needing replenishment in the first class of commodities is compared with the first replenishment type sub-threshold, and when the regulated commodity type quantity A needing replenishment in the first class of commodities is still smaller than or equal to the first replenishment type sub-threshold, if the commodity type quantity B needing replenishment in the second class of commodities is larger than a second replenishment type sub-threshold and the condition that A + B is larger than or equal to C is met, a replenishment list is generated; and when the adjusted commodity type quantity A needing replenishment in the first type of commodities is larger than the first replenishment type sub-threshold, directly generating a replenishment list.
The replenishment efficiency can be further improved through the replenishment adjusting module, the replenishment cost is reduced, and the occurrence of the commodity shortage phenomenon caused by insufficient inventory in the warehouse is avoided.
The above-described embodiment of a system for restocking for inventory management of goods is merely illustrative, for example, the division of the modules or units is only a logical division, and there may be other divisions when the actual implementation is performed, for example, a plurality of units or components may be combined or may be integrated into another system, or some features may be omitted or not executed. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment. One of ordinary skill in the art can understand and implement it without inventive effort.
It will be understood that modifications and variations can be made by persons skilled in the art in light of the above teachings and all such modifications and variations are intended to be included within the scope of the invention as defined in the appended claims. Parts of the description which are not described in detail are within the knowledge of the person skilled in the art.
Claims (8)
1. An intelligent replenishment system for warehouse management, comprising:
the quantity recording module is used for recording the initial quantity of various commodities in the warehouse;
the order recording module is used for recording transaction order information of various commodities in the warehouse, including the type and quantity information of the transaction commodities;
the processing module is used for calculating the residual quantity of various commodities and the residual proportion of the various commodities according to the initial quantity of the various commodities in the warehouse and the transaction order information of the various commodities, wherein the residual proportion is the ratio of the residual quantity to the initial quantity, and the type quantity of the commodities to be replenished in the warehouse is calculated;
the type quantity of the commodities to be replenished in the warehouse is calculated in a mode that the residual proportion of the commodities is compared with a replenishment threshold corresponding to the commodities, if the residual proportion of the commodities is smaller than the corresponding replenishment threshold, the commodities are marked as the commodities to be replenished, after all kinds of commodities in the warehouse are traversed, the type quantity of the commodities to be replenished in the warehouse is obtained through statistics;
the replenishment comparison module is used for comparing the type quantity of the goods to be replenished in the warehouse with a replenishment type threshold value; the execution module is used for generating a replenishment list based on a comparison result of the replenishment comparison module, if the type quantity of the goods to be replenished in the warehouse is greater than a replenishment type threshold value C, the replenishment list is generated, and otherwise, the replenishment list is not generated;
the replenishment list includes information on the type of the article to be replenished and information on the quantity of the article.
2. The intelligent replenishment system for warehouse management as claimed in claim 1, comprising the replenishment steps of:
s1, acquiring the initial quantity of various commodities in a warehouse, which is recorded by a quantity recording module;
s2, acquiring the transaction order information of various commodities in the warehouse, which is recorded by the order recording module;
s3, calculating the residual quantity of various commodities and the residual proportion of the various commodities by the processing module according to the initial quantity of the various commodities in the warehouse and the transaction order information of the various commodities in the warehouse, and calculating the type quantity of the commodities to be restocked in the warehouse according to the residual proportion of the various commodities;
s4, the replenishment comparison module compares the type quantity of the goods to be replenished in the warehouse with a replenishment type threshold value;
and S5, the execution module generates a replenishment list according to the comparison result of the replenishment comparison module, if the type quantity of the goods to be replenished in the warehouse is greater than the replenishment type threshold value C, the replenishment list is generated, and otherwise, the replenishment list is not generated.
3. The intelligent replenishment system for warehouse management as claimed in claim 1, wherein the replenishment threshold is set based on an average daily consumption amount of each commodity in the warehouse, the replenishment threshold is positively correlated with the average daily consumption amount, and the replenishment threshold for a commodity is smaller as the average daily consumption amount is larger.
4. The intelligent replenishment system for warehouse management as claimed in claim 3, further comprising:
the classification module is used for classifying the commodities according to the daily average consumption quantity of various commodities in the warehouse;
if the average daily consumption quantity of any commodity is larger than the sales threshold, the commodity is defined as a first type of commodity, otherwise, the commodity is defined as a second type of commodity.
5. The intelligent replenishment system for warehouse management as claimed in claim 4, further comprising:
the processing module respectively calculates the types and the quantity of commodities needing replenishment in the first class of commodities and the second class of commodities;
when the commodity type quantity A needing replenishment in the first class of commodities is smaller than or equal to the first replenishment type sub-threshold, if the commodity type quantity B needing replenishment in the second class of commodities is larger than the second replenishment type sub-threshold and meets the condition that A + B is larger than or equal to C, a replenishment list is generated;
and when the type quantity A of the commodities needing replenishment in the first class of commodities is greater than the first replenishment type sub-threshold, directly generating a replenishment list.
6. The intelligent replenishment system for warehouse management according to claim 5, wherein for the first replenishment kind sub-threshold and the second replenishment kind sub-threshold, the following condition is satisfied, the first replenishment kind sub-threshold + the second replenishment kind sub-threshold = replenishment kind threshold C;
the first replenishment type sub-threshold and the second replenishment type sub-threshold are determined according to the types and the quantity of the commodities in the first class of commodities and the second class of commodities.
7. The intelligent replenishment system for warehouse management as claimed in claim 5, further comprising:
the replenishment adjusting module is used for adjusting the types and the quantity of the commodities needing replenishment in the first class of commodities calculated by the processing module;
for two commodities which are mutually substitutes in the first class of commodities, when the sum of the remaining quantity of the two commodities is smaller than the sum of the replenishment threshold values corresponding to the two commodities, the two commodities are assigned to the commodity to be replenished, otherwise, the two commodities are not assigned to the commodity to be replenished, and the adjustment of the type quantity of the commodities needing replenishment in the first class of commodities calculated by the processing module is realized.
8. The intelligent replenishment system for warehouse management as claimed in claim 7, further comprising:
when the type quantity A of the commodities needing replenishment in the first class of commodities is larger than a first replenishment type sub-threshold, adjusting the type quantity A of the commodities needing replenishment in the first class of commodities obtained through calculation through a replenishment adjusting module, and when the adjusted type quantity A of the commodities needing replenishment in the first class of commodities is still smaller than or equal to the first replenishment type sub-threshold, if the type quantity B of the commodities needing replenishment in the second class of commodities is larger than a second replenishment type sub-threshold and meets the condition that A + B is larger than or equal to C, generating a replenishment list; and when the number A of the types of the commodities needing replenishment in the adjusted first type of commodities is larger than the first replenishment type sub-threshold, directly generating a replenishment list.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202211376004.0A CN115713290A (en) | 2022-11-04 | 2022-11-04 | Intelligent replenishment system for warehouse management |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202211376004.0A CN115713290A (en) | 2022-11-04 | 2022-11-04 | Intelligent replenishment system for warehouse management |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN115713290A true CN115713290A (en) | 2023-02-24 |
Family
ID=85232410
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202211376004.0A Pending CN115713290A (en) | 2022-11-04 | 2022-11-04 | Intelligent replenishment system for warehouse management |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN115713290A (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115983767A (en) * | 2023-03-21 | 2023-04-18 | 深圳美云集网络科技有限责任公司 | Replenishment method and system based on multiple commodities |
-
2022
- 2022-11-04 CN CN202211376004.0A patent/CN115713290A/en active Pending
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115983767A (en) * | 2023-03-21 | 2023-04-18 | 深圳美云集网络科技有限责任公司 | Replenishment method and system based on multiple commodities |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Chao et al. | Approximation algorithms for perishable inventory systems | |
| US20030187767A1 (en) | Optimal allocation of budget among marketing programs | |
| US7730022B2 (en) | Data processing system and method for supply chain management | |
| Shang et al. | Optimal and heuristic echelon (r, nQ, T) policies in serial inventory systems with fixed costs | |
| US20130166350A1 (en) | Cluster based processing for forecasting intermittent demand | |
| US20080027837A1 (en) | Computer Implemented System for Determining a Distribution Policy for a Single Period Inventory System, Optimization Application Therefor, and Method Therefor, and Decision Support Tool for Facilitating User Determination of a Distribution Policy for a Single Period Inventory System | |
| CN109272276A (en) | A kind of inventory replenishes management method and device | |
| CN115713290A (en) | Intelligent replenishment system for warehouse management | |
| CN110727754A (en) | Method and device for generating shelf thermodynamic diagram and electronic equipment | |
| CN110826958A (en) | Intelligent goods dispatching method and device for e-commerce platform | |
| CN108197825B (en) | System scheduling method and device | |
| CN107688901B (en) | Data adjusting method and device | |
| US11354686B2 (en) | Short life cycle sales curve estimation | |
| CN108280377A (en) | The anticollision method for reading ID of multi-tag in goods and materials Warehouse Management System | |
| Kawanaka et al. | Inventory satisfaction discrimination method utilizing images and deep learning | |
| CN110040411B (en) | Intelligent box selecting and packing line collection area parameter optimization method | |
| CN109697203B (en) | Index transaction analysis method and device, computer storage medium, and computer device | |
| CN105975590A (en) | Method and device for determining object type | |
| CN113077070B (en) | Dynamic ABC classification storage strategy optimization method and realization system based on attribute prediction | |
| CN115689201A (en) | Multi-criterion intelligent decision optimization method and system for enterprise resource supply and demand allocation | |
| CN114820086A (en) | Agricultural industry chain data processing method and agricultural industry transaction flow prediction system | |
| Lingras et al. | Semi-supervised rough cost/benefit decisions | |
| CN111598510A (en) | Order batching method suitable for intelligent warehousing system | |
| CN103679530A (en) | Intelligent service database generation system and method as well as service processing system and method | |
| CN116308088A (en) | Cargo inventory information processing method and system |
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 |