CN111222827A - Goods position management method and device, storage medium and electronic equipment - Google Patents
Goods position management method and device, storage medium and electronic equipment Download PDFInfo
- Publication number
- CN111222827A CN111222827A CN202010045719.2A CN202010045719A CN111222827A CN 111222827 A CN111222827 A CN 111222827A CN 202010045719 A CN202010045719 A CN 202010045719A CN 111222827 A CN111222827 A CN 111222827A
- Authority
- CN
- China
- Prior art keywords
- goods
- cargo
- space
- determining
- cargo space
- 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
- 238000007726 management method Methods 0.000 title claims abstract description 62
- 230000007306 turnover Effects 0.000 claims description 27
- 238000000034 method Methods 0.000 claims description 19
- 230000004308 accommodation Effects 0.000 claims description 9
- 230000002349 favourable effect Effects 0.000 abstract description 4
- 238000004891 communication Methods 0.000 description 6
- 238000010586 diagram Methods 0.000 description 6
- 239000000463 material Substances 0.000 description 6
- 230000000295 complement effect Effects 0.000 description 5
- 230000009471 action 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
- 230000010354 integration Effects 0.000 description 3
- 230000008569 process Effects 0.000 description 3
- 230000004048 modification Effects 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000002093 peripheral effect Effects 0.000 description 2
- 230000002411 adverse Effects 0.000 description 1
- 230000008859 change Effects 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 230000006872 improvement Effects 0.000 description 1
- 238000005259 measurement Methods 0.000 description 1
- 239000002184 metal Substances 0.000 description 1
- 238000004806 packaging method and process Methods 0.000 description 1
- 238000012545 processing Methods 0.000 description 1
- 238000007619 statistical method Methods 0.000 description 1
- 239000000126 substance Substances 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/08—Logistics, e.g. warehousing, loading or distribution; Inventory or stock management
- G06Q10/087—Inventory or stock management, e.g. order filling, procurement or balancing against orders
Abstract
The application provides a goods space management method, a device, a storage medium and electronic equipment, which are used for managing a plurality of goods spaces for accommodating goods, wherein the goods space management method comprises the following steps: acquiring goods parameters of goods to be received, wherein the goods parameters are used for representing the characteristics of the goods to be received; determining a goods position to be selected matched with the goods parameters from the idle goods positions of the warehouse, wherein the idle goods position represents a goods position not accommodating goods; and determining a target goods position from the goods positions to be selected according to the preset goods position priority, wherein the target goods position represents a recommended goods position for accommodating goods to be accommodated. Through such a mode, be favorable to determining suitable goods position that is used for acceping the goods automatically, and can synthesize the characteristic of considering the goods, determine suitable goods position in order to acceping this goods, can effectively promote space utilization.
Description
Technical Field
The application relates to the field of logistics management, in particular to a goods location management method and device, a storage medium and electronic equipment.
Background
Traditional warehousing operation management often puts goods in the nearest available space (free goods position) when arriving, and does not consider the demand and the customer demand of article dynamic change, relies on custom and experience to place article, causes the flow speed to be slow easily, space utilization scheduling problem inadequately to lead to the managerial efficiency inefficiency of warehousing operation.
Disclosure of Invention
An object of the embodiments of the present application is to provide a method and an apparatus for managing a cargo space, a storage medium, and an electronic device, so as to improve management efficiency of warehousing operations.
In order to achieve the above object, embodiments of the present application are implemented as follows:
in a first aspect, a cargo space management method according to an embodiment of the present application is used for managing a plurality of cargo spaces for accommodating goods, where the cargo spaces are included in a warehouse, and the method includes: acquiring goods parameters of goods to be received, wherein the goods parameters are used for representing the characteristics of the goods to be received; determining a goods position to be selected matched with the goods parameter from the idle goods positions of the warehouse, wherein the idle goods position represents a goods position not accommodating goods; and determining a target goods position from the goods positions to be selected according to a preset goods position priority, wherein the target goods position represents a recommended goods position for accommodating the goods to be accommodated.
The goods parameters of the goods to be received are determined, the matched goods positions to be selected are determined from the idle goods positions, and the target goods positions can be determined to accommodate the goods to be received by combining the preset priority. Be favorable to automizing like this and determine suitable goods position that is used for acceping the goods, and can synthesize the characteristic of considering the goods, determine suitable goods position in order to acceping this goods, can effectively promote space utilization. And the goods position is selected according to the preset goods position priority, so that the most suitable current goods position can be determined in a targeted manner to accommodate the goods, and the management efficiency of warehousing operation is improved.
With reference to the first aspect, in a first possible implementation manner of the first aspect, the determining, from the idle cargo spaces of the warehouse, a to-be-selected cargo space that matches the cargo parameter includes: determining the free cargo space from the warehouse; determining the accommodation parameters of the idle goods space, wherein the accommodation parameters are used for representing the capacity of the goods space for accommodating goods; and determining the goods position to be selected with the accommodating parameters matched with the goods parameters from the idle goods positions.
By matching the accommodating parameters of the free goods positions with the goods parameters of the goods, the free goods positions capable of accommodating the goods can be determined, and the goods can be accommodated in the recommended goods positions for accommodating the goods.
With reference to the first possible implementation manner of the first aspect, in a second possible implementation manner of the first aspect, the determining an accommodation parameter of the idle cargo space includes: and determining the compatibility of the idle goods space according to the goods space adjacent to the idle goods space, wherein the compatibility is used for representing the attribute of the goods contained in the idle goods space.
The compatibility of the free goods space is determined through the goods space (the attribute of the goods stored in the free goods space) adjacent to the free goods space, the attribute of the goods which can be accommodated in the free goods space can be determined, the compatibility matching is carried out, and the goods can be prevented from being damaged due to attribute conflict (for example, the compatibility of the fragile goods and the metal objects is low) as far as possible.
With reference to the second possible implementation manner of the first aspect, in a third possible implementation manner of the first aspect, the cargo parameters further include a size and a weight of the cargo, and determining the accommodating parameters of the idle cargo space includes: and determining the size and the bearing capacity of the free cargo space.
The size and the bearing capacity of the idle cargo space are determined, so that the size and the weight of the cargo which can be accommodated by the idle cargo space are determined. This advantageously allows the determined empty cargo space to be able to accommodate cargo with a container.
With reference to the third possible implementation manner of the first aspect, in a fourth possible implementation manner of the first aspect, the determining, from the idle cargo space, a to-be-selected cargo space with the receiving parameter matching the cargo parameter includes: matching the compatibility of the idle goods position with the attribute of the goods to be received, matching the size of the idle goods position with the size of the goods to be received, and matching the bearing performance of the idle goods position with the weight of the goods to be received; and determining the goods positions to be selected, wherein the compatibility, the size and the bearing capacity of the goods positions to be selected are respectively matched with the attribute, the size and the weight of the goods to be received.
The attribute, the size and the weight of the goods to be received are respectively matched with the compatibility, the size and the bearing performance of the idle goods positions, so that the goods positions to be selected meeting the requirements are determined. The goods position to be selected determined by the mode can guarantee the containing capacity of goods to be contained, the determined goods position to be selected can be prevented from containing the goods to be contained as much as possible, adverse effects on the goods can be avoided, and damage to the goods position caused by over-limit of bearing can be avoided as much as possible.
With reference to the first aspect, or with reference to any one of the first to fourth possible implementation manners of the first aspect, in a fifth possible implementation manner of the first aspect, before the obtaining the cargo parameters of the cargo to be received, the method further includes: determining a convenience index of each goods space in the warehouse, wherein the convenience index of the goods space is used for representing the convenience degree of using the goods space; and determining the preset cargo space priority according to the convenience index of each cargo space in the warehouse.
Through the convenient degree of use of every goods position in the warehouse to confirm the goods position priority, be favorable to placing the goods to suitable goods position on, with improve flow speed, further promote the managerial efficiency of warehousing operation.
With reference to the fifth possible implementation manner of the first aspect, in a sixth possible implementation manner of the first aspect, the determining, by the goods location parameter, a target goods location from the goods locations to be selected according to a preset goods location priority includes: sorting the goods positions to be selected according to the preset goods position priority and the turnover rate of the goods to be received; and determining one or more target goods positions from the sorted goods positions to be selected.
By sorting the goods positions to be selected under the preset goods position priority, one or more target goods positions with the highest priority can be determined for placing the goods. Therefore, the goods can be ensured to be accommodated in the most suitable goods space as far as possible, and the management efficiency of warehousing operation is improved.
In a second aspect, an embodiment of the present application provides a cargo space management apparatus for managing a plurality of cargo spaces for accommodating cargo included in a warehouse, the apparatus including: the system comprises a cargo parameter acquisition module, a cargo parameter acquisition module and a cargo parameter acquisition module, wherein the cargo parameter acquisition module is used for acquiring cargo parameters of cargos to be received, and the cargo parameters are used for representing the characteristics of the cargos to be received; the goods position determining module is used for determining a goods position to be selected which is matched with the goods parameter from the idle goods positions of the warehouse, wherein the idle goods position represents a goods position which does not contain goods; and the target goods position determining module is used for determining a target goods position from the goods positions to be selected according to a preset goods position priority, wherein the target goods position represents a recommended goods position for accommodating the goods to be accommodated.
In a third aspect, an embodiment of the present application provides a storage medium, where one or more programs are stored, and the one or more programs are executable by one or more processors to implement the steps of the cargo space management method according to the first aspect or any one of the possible implementation manners of the first aspect.
In a fourth aspect, an embodiment of the present application provides an electronic device, including a memory and a processor, where the memory is used to store information including program instructions, and the processor is used to control execution of the program instructions, and the program instructions are loaded and executed by the processor to implement the steps of the cargo space management method according to the first aspect or any one of the possible implementation manners of the first aspect.
In order to make the aforementioned objects, features and advantages of the present application more comprehensible, preferred embodiments accompanied with figures are described in detail below.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings that are required to be used in the embodiments of the present application will be briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present application and therefore should not be considered as limiting the scope, and that those skilled in the art can also obtain other related drawings based on the drawings without inventive efforts.
Fig. 1 is a schematic diagram of a warehouse provided in an embodiment of the present application.
Fig. 2 is a block diagram of an electronic device according to an embodiment of the present disclosure.
Fig. 3 is a flowchart of a cargo space management method according to an embodiment of the present application.
Fig. 4 is a block diagram of a cargo space management device according to an embodiment of the present application.
Icon: 10-a warehouse; 11-A shelf; the goods positions of the A11-A43-A goods shelves; 12-B shelf; the goods positions of the goods shelves B11-B45-B; 13-C shelf; the goods positions of the C11-C34-C goods shelves; 20-an electronic device; 21-a memory; 22-a communication module; 23-a bus; 24-a processor; 30-a cargo space management device; 31-cargo parameter acquisition module; 32-a goods position determination module to be selected; 33-target cargo space determination module.
Detailed Description
The technical solutions in the embodiments of the present application will be described below with reference to the drawings in the embodiments of the present application.
Referring to fig. 1, fig. 1 is a schematic diagram of a warehouse 10 according to an embodiment of the present disclosure. In this embodiment, the warehouse 10 may include an a shelf, a B shelf, and a C shelf. Wherein, a shelf 11 may include a plurality of cargo spaces: A11-A13, A21-A23, A31-A33 and A41-A43; the B shelf 12 may include a plurality of cargo spaces: B11-B15, B21-B25, B31-B35 and B41-B45; the C rack 13 may include a plurality of cargo spaces: C11-C14, C21-C24 and C31-C34. And the warehouse 10 may include an access opening therein, which may represent a door of the warehouse 10, i.e., a place where a user handles goods into and out of the warehouse.
It should be noted that the shelves included in the warehouse 10, the cargo spaces included in the shelves, the shapes, numbers, sizes, and the like of the cargo spaces are only exemplary, and the shelves (for example, the number, the shape, the setting position, and the like) included in the warehouse 10, the cargo spaces (for example, the number, the shape, the setting position, and the like) included in the shelves, the shapes, the numbers, the sizes, and the like of the cargo spaces may have different arrangement forms, and may be adjusted according to actual needs, and therefore, the present application should not be considered as limited herein. In addition, the cargo spaces of the same shelf may be independent from each other or may be connected with each other, and are not limited herein.
In order to improve the management efficiency of the warehouse 10 (improve the efficiency of warehousing operations), the present embodiment will take the warehouse 10 provided in the present embodiment as an example, and details the cargo space management method provided in the present embodiment are described in detail.
In the present embodiment, the cargo space management method may be applied to the electronic device 20.
Referring to fig. 2, fig. 2 is a block diagram illustrating an electronic device 20 according to an embodiment of the present disclosure. The electronic device 20 provided in the embodiment of the present application may be a terminal, such as a smart phone, a tablet computer, a personal digital assistant, and the like, which is not limited herein. The electronic device 20 may also be a server, such as a network server, a cloud server, a server cluster, a data server, etc., and is not limited herein.
It should be noted that, when the electronic device 20 operating the cargo space management method is a server, the electronic device may receive data sent by a terminal to complete data acquisition, so as to execute the cargo space management method. For example, a terminal such as a smart phone or a computer collects data (e.g., parameters of goods, idle state of a cargo space, etc.) required for operating a cargo space management method and transmits the data to a server, and the server can receive the data transmitted by the smart phone or the computer to operate the cargo space management method. The listed modes should not be regarded as limitations of the present application, and for example, the parameters may be collected by the internet of things device and then uploaded to the server, so that the server obtains data required for operating the cargo space management method.
Illustratively, the electronic device 20 may include: a communication module 22 connected to the outside world via a network, one or more processors 24 for executing program instructions, a bus 23, a Memory 21 of different form, such as a magnetic disk, a ROM (Read-only Memory), or a RAM (Random Access Memory), or any combination thereof. The memory 21, the communication module 22 and the processor 24 are connected by a bus 23.
Illustratively, the memory 21 has stored therein a program. The processor 24 may call and run these programs from the memory 21 so that the cargo space management method can be performed by running the programs.
Referring to fig. 3, fig. 3 is a flowchart illustrating a cargo space management method according to an embodiment of the present disclosure. In the present embodiment, the cargo space management method may include step S10, step S20, and step S30.
Before the electronic device performs step S10, the operation environment of the cargo space management method is described herein to facilitate understanding of the method.
In this embodiment, the electronic device may establish a goods location management model corresponding to the warehouse based on the shelves in the warehouse and the goods locations of the shelves in the warehouse by operating the goods location management method. Of course, the manner of operating the cargo space management method by establishing the cargo space management model is only one of many realizable manners, and the electronic device may operate the cargo space management method without modeling, and therefore, the method should not be considered as limiting the present application.
For example, the present embodiment is described by taking the example of establishing a cargo space management model based on a warehouse. In this embodiment, the cargo space management model established in the electronic device may include a plurality of shelf units, each shelf unit may have a plurality of cargo spaces, and each cargo space has an accommodation parameter.
In the present embodiment, taking an example in which the a shelf of the warehouse corresponds to the a shelf unit in the cargo space management model, the a shelf unit also has the cargo spaces a11 to a 43. Each cargo space has corresponding receiving parameters such as size, load bearing, position, shape, etc., and each cargo space may have compatibility. Compatibility herein may be used to characterize the properties of the goods that the cargo space is capable of holding.
For example, the size of the cargo space may indicate the capacity of the cargo space to accommodate the cargo. For example, the size of the cargo space a13 is 100cm by 50cm by 60cm, which may mean that the cargo space is 100cm long, 50cm wide and 60cm high, and for the convenience of matching with the cargo space, the internal size of the cargo space is taken as an example, rather than the peripheral size of the cargo space, but should not be considered as limiting the present application, and in other realizable manners, the size of the cargo space may also be determined by taking the peripheral size of the cargo space as an example.
For example, the load bearing capacity of a cargo space may represent the load bearing capacity of the cargo space for cargo. The load bearing property of the goods space is related to the material, the structure and the like of the goods shelf. The load bearing capacity is generally different on shelves of different materials or different configurations. For a shelf with the same material and structure, different locations of the cargo space may also result in corresponding different load bearing properties. For example, the load bearing capacity of the cargo space a11 is smaller than that of the cargo space a41, and this is provided to ensure the stability of the shelf, the safety and convenience of warehousing, etc., so that relatively heavier cargo is placed on the lower layer of the shelf (for example, cargo spaces a31 to a33, cargo spaces a41 to a43, etc.), and relatively lighter cargo is placed on the upper layer of the shelf (for example, cargo spaces a11 to a13, cargo spaces a21 to a23, etc.). Therefore, the stability of the goods shelf can be improved as much as possible, the safety and the convenience of warehousing operation are improved, and the efficiency of goods location management is improved. In this embodiment, for the load bearing capability of the cargo space, a load bearing upper limit value may be set for the cargo space of each floor (for example, a 11-a 13 are the same floor, and B21-B25 are the same floor), and cargo whose weight exceeds the upper limit value cannot be stored. Of course, the setting of the bearing capacity here is only one of many possible ways and should not be considered as limiting the present application.
For example, the location of the cargo space may be determined from a point in the established cargo space management model to determine the coordinate location of each cargo space to characterize the location of the cargo space. For example, the position of the entrance is taken as the origin of the space coordinates, and a space coordinate system is established, so that each cargo space can correspond to one determined coordinate in the established same space coordinate system, and the position of each cargo space is determined. Of course, the manner of determining the position of the cargo space is not limited to this, and the position of each cargo space may also be determined by means of distance measurement, for example.
For example, the shape of the cargo space in the cargo space management model may be referred to the shape of the actual corresponding cargo space, such as a cylinder, a cube, etc., and is not limited herein.
Illustratively, each cargo space also has compatibility, but here compatibility is used to characterize the properties of the cargo that the cargo space can hold. The compatibility of the cargo space can be preset, for example, the A11 can be set to store which types of goods, such as food, hard goods, soft goods, fragile goods and the like; it may also be determined by the nature of the goods stored in the cargo space adjacent to the cargo space in the actual situation. For example, to determine the compatibility of cargo space A32, it may be determined by the attributes of the cargo already stored in cargo space A31 and cargo space A33. Assuming that cargo space a31 already contains cargo and the cargo is fragile, cargo space a32 cannot contain hard objects and can contain fragile and soft objects according to predetermined compatibility rules (e.g., fragile and hard objects cannot be placed next to each other, more often, they cannot be placed together; soft and fragile objects can be placed next to each other or can be placed together, they can be placed next to each other, etc.). If the cargo space A33 does not store cargos and is in an idle state, the cargo space A33 can not affect the compatibility of the cargo space A32, and the cargo space A32 can still store fragile and soft articles; if the property of the goods stored in the goods space A33 is hard, the hard goods and the fragile goods cannot be adjacently placed according to the preset compatibility rule, then the goods space A33 cannot store the fragile goods and can store the soft goods. By taking into account the compatibility of the cargo space, the quality of the cargo can be guaranteed as much as possible, and the damage of the cargo can be avoided as much as possible.
It should be noted that the present embodiment lists some rules of cargo space compatibility, but should not be construed as limiting the present application. In some other implementations, there may be a difference in the arrangement of the cargo spaces, for example, a cushion is provided inside some cargo spaces, and can be used to specially place a certain type of cargo (for example, fragile goods, food, etc.), and in this case, the compatibility of the cargo spaces may be predetermined, and the influence of the property of the cargo stored in the adjacent cargo space on the compatibility of the cargo space may also be considered. And the rule of compatibility set in advance may also be considered in combination with the actual conditions of the warehouse (for example, if a chemical may be stored in a warehouse, the rule of compatibility needs to be added and/or changed), and therefore, the setting of the rule of compatibility in detail should not be considered as a limitation of the present application.
In this embodiment, in order to further improve the efficiency of the warehousing operation, the priority of the cargo space may be set.
Considering that the closer the cargo space is to the user, the higher the convenience of use (i.e., the higher the profit index), the priority of the cargo space may be determined by the location of the cargo space, for example. For example, when the user goes to the reception or outgoing of the goods at the doorway, the more convenient the user is, the more the goods spaces (e.g., a11, a21, a31, a41, a22, a23, a 24) are, and therefore, the goods spaces having a certain distance therebetween can be set as the high-priority goods spaces. For other goods spaces, the priority of the goods space can be set according to the distance between the goods space and the entrance (reflecting the convenience of using the goods space by a user).
It should be noted that the setting of the priority of the cargo space can be determined not only by the distance from the entrance/exit, but also by other manners, which is not specifically limited herein, based on the actual need (the convenience of the cargo space, for example, the height of the cargo space, may also affect the convenience of the user in using the cargo space, for example, the height is 1 meter to 1.5 meters, the convenience is the best, and the convenience index is the higher).
In addition, in this embodiment, the status of the cargo space may be determined in real time. For example, the goods are sent in and out, and the goods can be recorded by using a label (such as a bar code, a two-dimensional code and the like). For example, a tag corresponds to a cargo, and if the cargo is stored in a warehouse, the state of the cargo can be determined by recording the state of the tag. For example, through the tag, the storage status of the goods (e.g., the storage location, the goods parameter of the goods, the storage time, etc., and after the goods are sent out, the time when the goods are sent out) can be determined. Thus, the cargo space management model may determine the status of the cargo space (e.g., whether the cargo is stored, the type of cargo stored, the length of time the cargo is stored, etc.).
The foregoing is a description of some background of the electronic device operation cargo space management method to facilitate understanding of the method. Hereinafter, the operation of the cargo space management method will be described.
When the warehouse needs to accommodate one cargo (i.e., the cargo to be accommodated), the electronic device may execute step S10.
Step S10: acquiring goods parameters of goods to be received, wherein the goods parameters are used for representing the characteristics of the goods to be received.
In this embodiment, the electronic device may obtain cargo parameters of the cargo to be received, and the cargo parameters may reflect some characteristics of the cargo, such as size, weight, and the like. The types of the acquired goods parameters can be various. Exemplary cargo parameters may include: properties of the goods, size and weight of the goods, etc.
For example, the properties of the goods may include fragile goods, hard goods, soft goods, food, clothes, dangerous goods, etc., one or more properties of one goods may exist, and this embodiment will take one property corresponding to one goods as an example, but should not be considered as a limitation to this application. In addition, for the division of the goods attributes, there may be a plurality of different division standards, and in the selection of the actual division standard, the standard used in the actual warehouse may be selected, or another standard may be adopted, which is not limited herein. In this embodiment, the manner of obtaining the attribute of the goods may be determined by a label (which may be the same label as a label reflecting the storage state of the goods, or may be a different label, and is not limited herein) on an outer package of the goods (package of the goods, a container for containing the goods, such as a carton, a wooden box, and the like); the attribute of the goods may be obtained by manual entry, or may be obtained in another manner, which is not limited herein.
Illustratively, the size and weight of the goods may reflect the size and weight of the goods (or the outer packaging of the goods, such as cartons, wooden boxes, etc.). The size and weight of the goods can be obtained by detecting the goods by the sensing equipment, can be determined by a label on an outer package of the goods, and can also be obtained by manual entry, which is not limited herein.
In this embodiment, the cargo parameters of the cargo may further include data determined based on analyzing the data of the cargo. Such as the turnover rate of the same type of cargo as the cargo, relevance to other cargo, complementarity, etc.
For example, the turnover rate of the goods may reveal how long the stocking time (or how fast the turnover) is for the type of goods. The turnover rate can be calculated by some means, for example:
the monthly average stock of general stores can be passed
And (4) obtaining. The reserve material can be regarded as goods.
By means of the mode of annual and monthly statistics, the statistical range can cover all warehouses and first-aid kits of a company (the first-aid kits represent standby reserve materials), and therefore the turnover rate of certain goods can be reflected accurately. However, such statistical methods should not be considered as limiting the present application, and the statistics may be refined to the day, or the statistical range may be selected bins, which is more flexible than the way of counting all bins by year, month, and so on.
In the following, a specific example of such a way of determining the turnover rate of the goods is described.
For example, the turnover rate of the cargo D needs to be determined, and the index of the cargo D in the last 6 months can be counted.
The total amount of the conventional stock materials for delivery in 6 months can be determined, namely:
and (4) the total amount of ex-warehouse within 6 months, namely the total amount of ex-warehouse refund within 6 months is the conventional total amount of ex-warehouse within 6 months.
And, the average value of the regular stock inventory over 6 months can be determined, namely:
Therefore, the turnover rate of the goods can be accurately determined. The determined turnover rate of the goods may be ranked, for example, goods with a turnover rate of 30 months are high turnover rate goods, goods with a turnover rate of 5 or less are low turnover rate goods, and goods with a turnover rate of between 5 and 30 are regular turnover rate goods. Of course, this grading method is only exemplary, and the grading can be determined according to the type of goods and the turnover, and should not be considered as a limitation of the present application.
Illustratively, the relevance of goods to other goods may be expressed as the relevance of goods for shipment. The related goods can be stored in the warehouse at the same time so as to be taken out together. The correlation between the goods may be determined by analyzing data such as delivery records of the goods, or may be preset, and the correlation is not limited herein.
Exemplary, the complementarity of cargo to other cargo may be embodied as an alternative to one cargo to another. Therefore, when the goods with complementarity are stored, the positions of the stored goods can be as close as possible, so that when one kind of goods is exhausted, the substitute of the goods (namely, the goods with complementarity) can be timely and nearby selected. The complementarity between the goods may be determined by analyzing data such as delivery records of the goods, or may be set in advance, which is not limited herein.
It should be noted that the cargo parameters of the cargo may also include other cargo parameters, which are not listed here, and the cargo parameters listed above should not be considered as limitations of the present application. The mode of obtaining the cargo parameters of the cargo may be determined by the label of the cargo, may be manually entered, and may also be determined by querying and/or processing data through an electronic device, which is not limited herein.
After determining the cargo parameter of the cargo, the electronic device may perform step S20.
Step S20: and determining a goods position to be selected matched with the goods parameter from the idle goods positions of the warehouse, wherein the idle goods position represents a goods position not accommodating goods.
In this embodiment, the electronic device may determine a current empty cargo space (a cargo space in an empty state, i.e., a cargo space where no cargo is stored and which is available for storing cargo) from the warehouse. The mode of determining the free cargo space may be: when goods are put in a warehouse, each goods corresponds to one label, and the labels are associated with the goods positions in the goods position management model, so that the corresponding goods positions of the goods stored in the warehouse are represented, and the goods positions are in a non-idle state (stored with goods); when the goods are delivered from the warehouse, the electronic equipment can release the association relationship between the label of the goods and the goods position in the goods position management model, so that the goods position is in an idle state again (the goods are not stored). Therefore, the electronic equipment can accurately determine the current free goods position in the warehouse in real time.
After the idle goods space is determined, the electronic equipment can determine the accommodating parameters of the idle goods space. In this embodiment, the manner of determining the receiving parameters of the empty cargo space by the electronic device may be to read the receiving parameters of the empty cargo space in the cargo space management model. The content of the accommodating parameters has been described in detail in the foregoing, and is not described in detail here.
After the containing parameters of the idle goods positions are determined, the electronic equipment can match the goods parameters of the goods to be contained with the containing parameters of the idle goods positions, and one or more idle goods positions capable of containing the goods, namely the goods positions to be selected, are determined.
For example, the electronic device may match the size of the empty cargo space with the size of the cargo to be received. Since the free cargo space with the size smaller than that of the cargo to be accommodated is difficult to store, the free cargo space with the size smaller than that of the cargo to be accommodated can be excluded by matching when the size of the free cargo space is determined to be smaller than that of the cargo to be accommodated.
For example, the electronic device may match the weight of the cargo to the load bearing capacity of the empty cargo space. For example, each cargo space has a weight that can support a range of cargo (e.g., the a21 cargo space can support a weight of no more than 50 kilograms, the a31 cargo space can support a weight of no more than 100 kilograms, and the a41 cargo space can support a weight of 100 kilograms or more), while the weight of cargo to be received is 60 kilograms. The a31 cargo space and the a41 cargo space may accommodate the cargo to be received and the a21 cargo space may not accommodate the cargo to be received, thus excluding the a21 cargo space.
And the electronic device can match the attributes of the goods to be received with the compatibility of the free goods space. For example, the electronic device may match attributes of the goods to be received with the compatibility of the free cargo space. For example, if the compatibility of cargo space B33 is determined by cargo space B32 and cargo space B34, cargo space B32 stores fragile goods, cargo space B34 stores fragile goods, and the cargo to be received is hard goods, the compatibility of cargo space B33 does not match the properties of the cargo to be received, and cargo space B33 can be excluded.
Through the mode, the idle goods positions can be screened, and the goods positions to be selected matched with the goods to be received are determined. The determined goods positions to be selected can be stored for goods to be accommodated, so that a large amount of time can be saved (the time for a user to manually find the goods positions matched with the goods to be accommodated is saved).
To further improve the efficiency of the warehousing operation, after determining the goods space to be selected, the electronic device may perform step S30.
Step S30: and determining a target goods position from the goods positions to be selected according to a preset goods position priority, wherein the target goods position represents a recommended goods position for accommodating the goods to be accommodated.
In this embodiment, the electronic device may determine the target cargo space from the cargo spaces to be selected according to the preset cargo space priority. Due to the predetermined cargo space priority, the above description has been made and will not be repeated herein. The method mainly introduces the process of determining the target cargo space by the electronic equipment according to the preset cargo space priority.
The electronic equipment can sort the goods positions to be selected according to the preset goods position priority, so that the goods positions with higher priority are determined from the goods positions to be selected and are recommended to the user as target goods positions.
Of course, in order to further improve the operation efficiency of the warehousing operation, any one or more of the turnover rate, the correlation and the complementarity of the cargo parameters of the cargo to be received can be analyzed and applied, so as to improve the management efficiency of the cargo space as much as possible.
For example, the electronic device may sort the selected cargo space by combining the turnover rate (e.g., the level of turnover rate: high, regular, low) of the cargo to be received and a preset cargo space priority (e.g., a cargo space priority determined by the convenience of the cargo space), so as to determine one or more target cargo spaces suitable for receiving the cargo to be received, so that the user can store the cargo space to be received in the suitable cargo space. For example, the goods to be accommodated are goods with high turnover rate, and the 3 goods to be selected are respectively a21 goods space (high priority), a32 goods space (high priority) and B31 goods space (medium priority). Thus, the order may be A21 cargo space, A32 cargo space, B31 cargo space. The target cargo space can be one (A21 cargo space) or two (A21 cargo space and A32 cargo space).
Through such mode, can consider the letter sorting density of goods position (this goods position frequency of use promptly), can be with the fine matching of the turnover rate of the letter sorting density of goods position and goods to make the convenient goods position of use can keep high rate of utilization (through placing the goods of high turnover rate), thereby further promote the efficiency of storage operation.
For example, the electronic device may also consider the relevance and complementarity in the cargo space parameters of the cargo to be accommodated when making the determination of the target cargo space. For example, in the sorting process, the electronic device may recommend the goods to the goods position with the closest distance to the goods position storing the goods with complementarity, so that when one of the complementary goods is lacking, the complementary goods can be used as soon as possible to replace the goods with the other complementary goods, thereby improving the operation efficiency. And the electronic equipment can recommend the goods to a shelf storing the goods related to the electronic equipment as far as possible so as to facilitate the delivery of the goods related to the electronic equipment.
In order to better optimize the cargo space, facilitate the management of the cargo space in the warehouse, and improve the utilization rate of the cargo space, in this embodiment, the electronic device may further optimize the cargo space based on the number of idle cargo spaces.
For example, the electronic device may determine the number of currently empty cargo spaces. For example, when the number of the free cargo spaces is less than the preset number of free cargo spaces (for example, 10, 20, etc., without specific limitation), or when the number of the free cargo spaces is less than the number of the cargo to be received (i.e., the preset number of free cargo spaces), the cargo may be integrated (may be an integration of already stored cargo, may be an integration of already stored cargo and cargo to be received, and may also be an integration of multiple cargo to be received, which is not limited herein).
The manner of integrating the already stored goods and the goods to be received will be described as an example.
For example, the electronic device may determine a cargo parameter of the cargo to be received (see the above for a manner of obtaining the cargo parameter), and determine a remaining parameter of the cargo space where the cargo is already stored, where the remaining parameter may include a remaining size (a size of a space where the cargo is stored) of the cargo space (the cargo space where the cargo is stored), a cargo parameter of the cargo stored therein, a load bearing property of the cargo space, and the like.
Based on this, the electronic equipment can match the goods parameter of the goods to be received with the surplus parameter of the goods position. Here, the matching can match the size of the goods with the remaining size of the cargo space to determine whether the cargo space can accommodate the goods to be accommodated. And, the weight of the cargo may be matched to the remaining weight bearing capacity of the cargo space to determine whether the cargo space is capable of bearing the total weight of the cargo to be received and the stored cargo. And matching the cargo attributes of the cargo to be received with the cargo attributes of the stored cargo to determine whether the two kinds of cargo are compatible, related, complementary and the like, wherein the incompatible cargo cannot be placed in the same cargo position, and the related and complementary cargo can be placed in the same cargo position. Moreover, the electronic device can also match the cargo attribute of the cargo to be received with the receiving performance of the cargo space, and the matching process can be referred to above.
Therefore, the utilization rate of the goods location can be improved as much as possible, the quality of the goods can be guaranteed as much as possible, and the management efficiency of the goods location in the warehouse can be improved.
Referring to fig. 4, fig. 4 is a block diagram of a cargo space management device 30 according to an embodiment of the present disclosure. Based on the same inventive concept, the embodiment of the present application further provides a cargo space management device 30, configured to manage a plurality of cargo spaces for accommodating cargos included in a warehouse, including: the cargo parameter acquiring module 31 is configured to acquire a cargo parameter of a cargo to be received, where the cargo parameter is used to characterize the cargo to be received; a candidate goods position determining module 32, configured to determine a candidate goods position matching the goods parameter from idle goods positions in the warehouse, where the idle goods position indicates a goods position in which no goods are accommodated; and a target cargo space determining module 33, configured to determine a target cargo space from the to-be-selected cargo spaces according to a preset cargo space priority, where the target cargo space indicates a recommended cargo space for accommodating the to-be-accommodated cargo.
In this embodiment, the to-be-selected goods location determining module 32 is further configured to determine the free goods location from the warehouse; determining the accommodation parameters of the idle goods space, wherein the accommodation parameters are used for representing the capacity of the goods space for accommodating goods; and determining the goods position to be selected with the accommodating parameters matched with the goods parameters from the idle goods positions.
In this embodiment, the cargo parameters include attributes of the cargo, and the to-be-selected cargo space determining module 32 is further configured to determine compatibility of the idle cargo space according to the cargo space adjacent to the idle cargo space, where the compatibility is used to represent the attributes of the cargo accommodated in the idle cargo space.
In this embodiment, the cargo parameters further include a size and a weight of the cargo, and the to-be-selected cargo space determining module 32 is further configured to determine a size and a bearing capacity of the free cargo space.
In this embodiment, the to-be-selected goods location determining module 32 is further configured to match compatibility of the free goods location with the attribute of the goods to be accommodated, match the size of the free goods location with the size of the goods to be accommodated, and match bearing capacity of the free goods location with the weight of the goods to be accommodated; and determining the goods positions to be selected, wherein the compatibility, the size and the bearing capacity of the goods positions to be selected are respectively matched with the attribute, the size and the weight of the goods to be received.
In this embodiment, the device 30 further includes a cargo space priority determining module, configured to determine a convenience index of each cargo space in the warehouse before the cargo parameter acquiring module 31 acquires the cargo parameters of the cargo to be received, where the convenience index of the cargo space is used to represent a convenience degree of using the cargo space; and determining the preset cargo space priority according to the convenience index of each cargo space in the warehouse.
In this embodiment, the cargo space parameters further include a cargo turnover rate, and the target cargo space determining module 33 is further configured to sort the cargo spaces to be selected according to the preset cargo space priority and the cargo turnover rate to be received; and determining one or more target goods positions from the sorted goods positions to be selected.
Also, a storage medium is provided in an embodiment of the present application, where one or more programs are stored, and the one or more programs are executable by one or more processors to implement the steps of the cargo space management method as described in the embodiment of the present application.
In summary, according to the method, the device, the storage medium and the electronic device for managing the cargo space, the cargo parameter of the cargo to be received is determined, the matched cargo space to be selected is determined from the idle cargo space, and the target cargo space can be determined to accommodate the cargo to be received by combining the preset priority. Be favorable to automizing like this and determine suitable goods position that is used for acceping the goods, and can synthesize the characteristic of considering the goods, determine suitable goods position in order to acceping this goods, can effectively promote space utilization.
In the embodiments provided in the present application, it should be understood that the disclosed apparatus and method may be implemented in other ways. The above-described embodiments of the apparatus are merely illustrative, and for example, the division of the units is only one logical division, and there may be other divisions when actually implemented, and for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection of devices or units through some communication interfaces, and may be in an electrical, mechanical or other form.
In addition, units described as separate parts may or may not be physically separate, and parts displayed 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 can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
Furthermore, the functional modules in the embodiments of the present application may be integrated together to form an independent part, or each module may exist separately, or two or more modules may be integrated to form an independent part.
In this document, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions.
The above description is only an example of the present application and is not intended to limit the scope of the present application, and various modifications and changes may be made by those skilled in the art. Any modification, equivalent replacement, improvement and the like made within the spirit and principle of the present application shall be included in the protection scope of the present application.
Claims (11)
1. A cargo space management method for managing a plurality of cargo spaces for accommodating cargo included in a warehouse, the method comprising:
acquiring goods parameters of goods to be received, wherein the goods parameters are used for representing the characteristics of the goods to be received;
determining a goods position to be selected matched with the goods parameter from the idle goods positions of the warehouse, wherein the idle goods position represents a goods position not accommodating goods;
and determining a target goods position from the goods positions to be selected according to a preset goods position priority, wherein the target goods position represents a recommended goods position for accommodating the goods to be accommodated.
2. The method for managing the cargo space according to claim 1, wherein the determining the cargo space to be selected, which matches the cargo parameter, from the free cargo spaces of the warehouse comprises:
determining the free cargo space from the warehouse;
determining the accommodation parameters of the idle goods space, wherein the accommodation parameters are used for representing the capacity of the goods space for accommodating goods;
and determining the goods position to be selected with the accommodating parameters matched with the goods parameters from the idle goods positions.
3. The cargo space management method according to claim 2, wherein the cargo parameters include attributes of the cargo, and the determining the receiving parameters of the free cargo space includes:
and determining the compatibility of the idle goods space according to the goods space adjacent to the idle goods space, wherein the compatibility is used for representing the attribute of the goods contained in the idle goods space.
4. The cargo space management method according to claim 3, wherein the cargo parameters further include the size and weight of the cargo, and determining the receiving parameters of the free cargo space comprises:
and determining the size and the bearing capacity of the free cargo space.
5. The cargo space management method according to claim 4, wherein the step of determining the cargo space to be selected with the accommodation parameter matched with the cargo parameter from the idle cargo space comprises the following steps:
matching the compatibility of the idle goods position with the attribute of the goods to be received, matching the size of the idle goods position with the size of the goods to be received, and matching the bearing performance of the idle goods position with the weight of the goods to be received;
and determining the goods positions to be selected, wherein the compatibility, the size and the bearing capacity of the goods positions to be selected are respectively matched with the attribute, the size and the weight of the goods to be received.
6. The cargo space management method according to claim 5, wherein after determining a target cargo space from the cargo spaces to be selected according to a preset cargo space priority, the method further comprises,
determining the number of the idle goods positions, and judging whether the number of the idle goods positions is lower than the preset number of the idle goods positions;
and if so, optimizing the goods space of the warehouse.
7. The cargo space management method according to any one of claims 1 to 6, wherein before acquiring the cargo parameters of the cargo to be received, the method further comprises:
determining a convenience index of each goods space in the warehouse, wherein the convenience index of the goods space is used for representing the convenience degree of using the goods space;
and determining the preset cargo space priority according to the convenience index of each cargo space in the warehouse.
8. The cargo space management method according to claim 7, wherein the cargo space parameters further include a cargo turnover rate, and the determining a target cargo space from the cargo spaces to be selected according to a preset cargo space priority comprises:
sorting the goods positions to be selected according to the preset goods position priority and the turnover rate of the goods to be received;
and determining one or more target goods positions from the sorted goods positions to be selected.
9. A cargo space management apparatus for managing a plurality of cargo spaces for accommodating cargo included in a warehouse, the apparatus comprising:
the system comprises a cargo parameter acquisition module, a cargo parameter acquisition module and a cargo parameter acquisition module, wherein the cargo parameter acquisition module is used for acquiring cargo parameters of cargos to be received, and the cargo parameters are used for representing the characteristics of the cargos to be received;
the goods position determining module is used for determining a goods position to be selected which is matched with the goods parameter from the idle goods positions of the warehouse, wherein the idle goods position represents a goods position which does not contain goods;
and the target goods position determining module is used for determining a target goods position from the goods positions to be selected according to a preset goods position priority, wherein the target goods position represents a recommended goods position for accommodating the goods to be accommodated.
10. A storage medium storing one or more programs, the one or more programs being executable by one or more processors to perform the steps of the method of cargo space management according to any one of claims 1 to 8.
11. An electronic device comprising a memory for storing information including program instructions and a processor for controlling execution of the program instructions, characterized in that: the program instructions when loaded and executed by a processor implement the steps of a method of cargo space management according to any one of claims 1 to 8.
Applications Claiming Priority (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201911422506 | 2019-12-31 | ||
| CN2019114225060 | 2019-12-31 |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN111222827A true CN111222827A (en) | 2020-06-02 |
Family
ID=70808502
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202010045719.2A Pending CN111222827A (en) | 2019-12-31 | 2020-01-15 | Goods position management method and device, storage medium and electronic equipment |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN111222827A (en) |
Cited By (13)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112036667A (en) * | 2020-09-29 | 2020-12-04 | 劢微机器人科技(深圳)有限公司 | Warehouse goods location optimization method, equipment, storage medium and device |
| CN112036773A (en) * | 2020-09-29 | 2020-12-04 | 劢微机器人科技(深圳)有限公司 | AGV trolley task allocation method, AGV trolley task allocation equipment, storage medium and device |
| CN113128870A (en) * | 2021-04-16 | 2021-07-16 | 深圳市艾赛克科技有限公司 | Intelligent storage yard management method and system |
| CN113200275A (en) * | 2021-05-20 | 2021-08-03 | 深圳市库宝软件有限公司 | Packing box arranging method, device, equipment, storage system and storage medium |
| CN113636254A (en) * | 2021-07-28 | 2021-11-12 | 江苏大学 | Storage tank self-adaptive optimization adjustment method and system for intelligent warehousing system |
| CN113689097A (en) * | 2021-08-13 | 2021-11-23 | 深圳市佳康捷科技有限公司 | Automatic loading and unloading management method and system for logistics storage storehouse |
| WO2021249568A1 (en) * | 2020-06-12 | 2021-12-16 | 深圳市海柔创新科技有限公司 | Warehouse robot control method and apparatus, device and readable storage medium |
| CN114261668A (en) * | 2021-11-29 | 2022-04-01 | 广东嘉腾机器人自动化有限公司 | Allocation strategy based on dispatching system and multi-storage-position system joint dispatching AGV |
| CN114313748A (en) * | 2022-01-29 | 2022-04-12 | 浙江凯乐士科技集团股份有限公司 | Automatic warehousing system |
| CN114435828A (en) * | 2021-12-31 | 2022-05-06 | 深圳云天励飞技术股份有限公司 | Goods storage method and device, carrying equipment and storage medium |
| CN114881564A (en) * | 2022-05-18 | 2022-08-09 | 浙江凯乐士科技集团股份有限公司 | Multi-deep goods location allocation method and device, computer equipment and storage medium |
| TWI789945B (en) * | 2020-10-15 | 2023-01-11 | 大陸商北京極智嘉科技股份有限公司 | Inventory management system and inventory management method |
| WO2023061165A1 (en) * | 2021-10-14 | 2023-04-20 | 深圳市海柔创新科技有限公司 | Method and apparatus for determining box changing policy of cargo, and device |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20180346244A1 (en) * | 2016-01-21 | 2018-12-06 | Cainiao Smart Logistics Holding Limited | Method and device for warehouse storage space planning and electronic device |
| CN109359928A (en) * | 2018-12-11 | 2019-02-19 | 成都精位科技有限公司 | Storehouse management shows equipment and warehouse management method |
| CN109460948A (en) * | 2018-09-19 | 2019-03-12 | 贵州电网有限责任公司 | Electric power enterprise goods and materials storage goods yard distribution method based on technology of Internet of things |
| CN109784809A (en) * | 2019-01-10 | 2019-05-21 | 深圳市启海仓储有限公司 | Goods yard allocation management method and system |
| CN110599075A (en) * | 2018-06-12 | 2019-12-20 | 北京京东尚科信息技术有限公司 | Warehouse goods turnover management device, system, method and storage medium |
-
2020
- 2020-01-15 CN CN202010045719.2A patent/CN111222827A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20180346244A1 (en) * | 2016-01-21 | 2018-12-06 | Cainiao Smart Logistics Holding Limited | Method and device for warehouse storage space planning and electronic device |
| CN110599075A (en) * | 2018-06-12 | 2019-12-20 | 北京京东尚科信息技术有限公司 | Warehouse goods turnover management device, system, method and storage medium |
| CN109460948A (en) * | 2018-09-19 | 2019-03-12 | 贵州电网有限责任公司 | Electric power enterprise goods and materials storage goods yard distribution method based on technology of Internet of things |
| CN109359928A (en) * | 2018-12-11 | 2019-02-19 | 成都精位科技有限公司 | Storehouse management shows equipment and warehouse management method |
| CN109784809A (en) * | 2019-01-10 | 2019-05-21 | 深圳市启海仓储有限公司 | Goods yard allocation management method and system |
Non-Patent Citations (3)
| Title |
|---|
| 周丽君: "S公司产品研发物料供给仓库管理优化研究", 《中国优秀博硕士学位论文全文数据库(硕士)经济与管理科学辑》 * |
| 崔国成等: "自动化立体仓库货位优先级生成算法设计", 《沈阳航空航天大学学报》 * |
| 徐昭国: "仓库管理员工作一日通", 《广东经济出版社》 * |
Cited By (15)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2021249568A1 (en) * | 2020-06-12 | 2021-12-16 | 深圳市海柔创新科技有限公司 | Warehouse robot control method and apparatus, device and readable storage medium |
| CN112036773A (en) * | 2020-09-29 | 2020-12-04 | 劢微机器人科技(深圳)有限公司 | AGV trolley task allocation method, AGV trolley task allocation equipment, storage medium and device |
| CN112036667A (en) * | 2020-09-29 | 2020-12-04 | 劢微机器人科技(深圳)有限公司 | Warehouse goods location optimization method, equipment, storage medium and device |
| CN112036773B (en) * | 2020-09-29 | 2023-08-15 | 劢微机器人科技(深圳)有限公司 | AGV trolley task allocation method, equipment, storage medium and device |
| TWI789945B (en) * | 2020-10-15 | 2023-01-11 | 大陸商北京極智嘉科技股份有限公司 | Inventory management system and inventory management method |
| CN113128870A (en) * | 2021-04-16 | 2021-07-16 | 深圳市艾赛克科技有限公司 | Intelligent storage yard management method and system |
| CN113128870B (en) * | 2021-04-16 | 2024-02-27 | 深圳市艾赛克科技有限公司 | Intelligent storage yard management method and system |
| CN113200275A (en) * | 2021-05-20 | 2021-08-03 | 深圳市库宝软件有限公司 | Packing box arranging method, device, equipment, storage system and storage medium |
| CN113636254A (en) * | 2021-07-28 | 2021-11-12 | 江苏大学 | Storage tank self-adaptive optimization adjustment method and system for intelligent warehousing system |
| CN113689097A (en) * | 2021-08-13 | 2021-11-23 | 深圳市佳康捷科技有限公司 | Automatic loading and unloading management method and system for logistics storage storehouse |
| WO2023061165A1 (en) * | 2021-10-14 | 2023-04-20 | 深圳市海柔创新科技有限公司 | Method and apparatus for determining box changing policy of cargo, and device |
| CN114261668A (en) * | 2021-11-29 | 2022-04-01 | 广东嘉腾机器人自动化有限公司 | Allocation strategy based on dispatching system and multi-storage-position system joint dispatching AGV |
| CN114435828A (en) * | 2021-12-31 | 2022-05-06 | 深圳云天励飞技术股份有限公司 | Goods storage method and device, carrying equipment and storage medium |
| CN114313748A (en) * | 2022-01-29 | 2022-04-12 | 浙江凯乐士科技集团股份有限公司 | Automatic warehousing system |
| CN114881564A (en) * | 2022-05-18 | 2022-08-09 | 浙江凯乐士科技集团股份有限公司 | Multi-deep goods location allocation method and device, computer equipment and storage medium |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN111222827A (en) | Goods position management method and device, storage medium and electronic equipment | |
| CN108960708B (en) | Goods shelving method, device and system, goods shelving terminal and storage medium | |
| US8682751B1 (en) | Product dimension learning estimator | |
| US8560461B1 (en) | Shipment splitting analyzer | |
| US7979359B1 (en) | System and method for selectively applying an item sortation process | |
| CN109978423B (en) | Inventory scheduling method, inventory scheduling device and computer-readable storage medium | |
| CN106875148B (en) | Method and device for determining a storage position for an item | |
| CN112036667B (en) | Warehouse goods position optimization method, equipment, storage medium and device | |
| CN104349891B (en) | A kind of computer-implemented method for by packing article packing in a reservoir | |
| US8401975B1 (en) | System and method for package performance analysis | |
| US20130218799A1 (en) | Container Selection in a Materials Handling Facility | |
| US7873549B1 (en) | Product dimension correction | |
| US20110200420A1 (en) | Warehouse dynamic picking slots | |
| CN111782646B (en) | Method, system, computer device and readable storage medium for library bit allocation | |
| CN110717697A (en) | Warehouse-out positioning method and device | |
| US7653616B2 (en) | Source and destination determination system and method | |
| CN110390449A (en) | Warehouse replenishing method and device | |
| CN112633803A (en) | Access library management and replenishment method, device and storage medium | |
| CN110304385A (en) | A kind of warehouse restocking method and apparatus | |
| CN111126918A (en) | Goods position distribution method and system for commodity warehousing | |
| US10579964B1 (en) | Method, apparatus and system for goods replenishment | |
| CN109399050B (en) | Goods position management method and device for warehousing system | |
| CN112950123B (en) | Order allocation method, device, system, storage medium and program product | |
| CN116452095B (en) | Intelligent vehicle supervision and scheduling method, system and medium for digital factory | |
| CN113663931B (en) | Article sorting method and device |
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 | ||
| RJ01 | Rejection of invention patent application after publication | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20200602 |