CN106875125B - Goods allocation method and device for regional warehouse - Google Patents
Goods allocation method and device for regional warehouse Download PDFInfo
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- 238000001514 detection method Methods 0.000 claims description 10
- 238000004364 calculation method Methods 0.000 claims description 4
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- 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
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- G—PHYSICS
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- 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 invention provides a goods configuration method and device for a regional warehouse, which are applied to electronic equipment. The method comprises the following steps: counting the number of the commodities with the delivery destinations located in the area within a preset time period aiming at each type of commodity in each area warehouse; when the quantity of the commodities of the type when the delivery destinations of the commodities are located in the area in the preset time period is lower than a first preset threshold value, counting the time of the commodities of the type appearing in the warehouse of the area; judging whether the counted time data accords with a preset rule or not, and identifying the commodity as a commodity to be adjusted when the time data accords with the preset rule; acquiring the allocation and transportation cost of each commodity to be adjusted from a prestored transportation cost database; and adjusting each commodity to be adjusted to the area warehouse where the delivery destination of the commodity to be adjusted is located in the next delivery period according to the sequence from high to low allocation cost. In this way, the products required by the user in the area where the area warehouse is located can be shipped from the area warehouse as much as possible, and the transportation cost can be reduced.
Description
Technical Field
The invention relates to the technical field of logistics, in particular to a method and a device for configuring goods in a regional warehouse.
Background
The traditional warehouse logistics business mainly depends on manual operation, and after a warehouse takes an order, the warehouse is manually picked, packed and sorted, and then transported to a distribution station for distribution. Currently, the most advanced warehouse logistics are mostly in a mechanized and automated manner. For example, an integrated flow line using a picking robot, automated sorting, etc. instead of a human work.
The inventor researches and discovers that the internal operation efficiency of the warehouse is improved and the cost is reduced through mechanization and automation, but the cost is reduced by the aid of the warehouse is limited and the requirements of electric suppliers and distribution business cannot be met.
Disclosure of Invention
In view of the above, the present invention provides a method and an apparatus for allocating goods in a regional warehouse to solve the above problems.
In order to achieve the above object, a preferred embodiment of the present invention provides a method for configuring goods in an area warehouse, which is applied to an electronic device, and the method includes:
counting the number of the commodities with the delivery destinations located in the area within a preset time period aiming at each type of commodity in each area warehouse;
when the quantity of the commodities of the type when the delivery destinations of the commodities are located in the area in the preset time period is lower than a first preset threshold value, counting the time of the commodities of the type appearing in the warehouse of the area;
judging whether the time data of the commodities of the type obtained through statistics accords with a preset rule or not, and identifying the commodities of the type as the commodities to be adjusted when the time data of the commodities of the type obtained through statistics accords with the preset rule;
acquiring the allocation and transportation cost of each commodity to be adjusted from a prestored transportation cost database, wherein the allocation and transportation cost of each commodity to be adjusted is the transportation cost required for transporting the commodity to be adjusted from the current local area warehouse to the local area warehouse where the delivery destination of the commodity to be adjusted is located;
and adjusting each commodity to be adjusted to the area warehouse where the delivery destination of the commodity to be adjusted is located in the next delivery period according to the sequence from high to low allocation cost.
Preferably, the step of determining whether the counted time data of the commodity conforms to a preset rule includes:
and when the commodities appear in the regional warehouse for a continuously preset time length and/or the counted time data of the commodities have a periodic rule, judging that the counted time data of the commodities conform to a preset rule.
Preferably, the step of counting the time of occurrence of the commodity in the warehouse comprises:
monitoring the time when the commodities appear in the regional warehouse within a preset number of time periods;
and if the time difference of the commodities appearing in the regional warehouse in each time period is smaller than a preset time limit, judging that the counted time data of the commodities have a periodic rule.
Preferably, the step of adjusting each commodity to be adjusted to the area warehouse where the delivery destination of the commodity to be adjusted is located in the next delivery cycle in the order from the highest to the lowest dispatching cost includes:
detecting whether the commodities to be adjusted with the allocation and transportation cost lower than a second preset value exist in the commodities to be adjusted;
when the goods to be adjusted with the allocation and transportation cost lower than the second preset value exist in the goods to be adjusted, the goods to be adjusted are marked as selectable adjustment goods, and first prompt information is generated and sent to the intelligent terminal.
Preferably, the step of adjusting each commodity to be adjusted to the area warehouse where the delivery destination of the commodity to be adjusted is located in the next delivery cycle in the order from the highest to the lowest dispatching cost further includes:
acquiring inventory requirement information of each commodity to be adjusted from a pre-stored commodity information database;
detecting whether each commodity to be adjusted has a commodity with a special inventory requirement, wherein the special inventory requirement is inventory requirement information added with a preset mark;
and when the commodities with special inventory requirements exist in the commodities to be adjusted, sending second prompt information to the intelligent terminal, wherein the second prompt information comprises the names of the commodities and the special inventory requirements.
The preferred embodiment of the present invention further provides a device for allocating goods in an area warehouse, which is applied to an electronic device, and the device includes:
the quantity counting module is used for counting the quantity of the commodities with the delivery destinations in the area within a preset time period aiming at each type of commodity in each area warehouse;
the time counting module is used for counting the time of the commodities in the area warehouse when the quantity of the commodities with the delivery destinations in the area in the preset time period is lower than a first preset threshold value;
the to-be-adjusted commodity determining module is used for judging whether the time data obtained by statistics accords with a preset rule or not, and identifying the commodity as the to-be-adjusted commodity when the time data of the commodity obtained by statistics accords with the preset rule;
the allocation and transportation cost acquisition module is used for acquiring allocation and transportation costs of the commodities to be adjusted from a prestored transportation cost database, wherein the allocation and transportation costs of the commodities to be adjusted are transportation costs required for transporting the commodities to be adjusted from a current local area warehouse to a local area warehouse where a delivery destination of the commodities to be adjusted is located;
and the adjusting module is used for adjusting each commodity to be adjusted to the area warehouse where the delivery destination of the commodity to be adjusted is located in the next delivery period according to the sequence from high to low of the dispatching cost.
Preferably, the to-be-adjusted item determination module includes:
and the judging submodule is used for judging that the time data of the commodities, obtained by statistics, conform to a preset rule when the commodities appear in the regional warehouse for a continuously preset time length and/or the time data of the commodities, obtained by statistics, has a periodic rule.
Preferably, the time statistic module comprises:
the monitoring submodule is used for monitoring the time when the commodities appear in the regional warehouse within a preset number of time periods;
and the periodic rule judging submodule is used for judging that the time data of the commodities obtained by statistics has a periodic rule when the time difference of the commodities appearing in the warehouse in each time period is less than a preset time limit.
Preferably, the adjusting module comprises:
the detection submodule is used for detecting whether the commodities to be adjusted with the allocation and transportation cost lower than a second preset value exist in the commodities to be adjusted;
and the first prompting submodule is used for identifying the commodity to be adjusted as a selectable adjustment commodity when the commodity to be adjusted with the allocation and transportation cost lower than the second preset value exists in the commodities to be adjusted, generating first prompting information and sending the first prompting information to the intelligent terminal.
Preferably, the adjusting module further comprises:
the inventory requirement information acquisition submodule is used for acquiring inventory requirement information of each commodity to be adjusted from a pre-stored commodity information database;
the special inventory requirement detection submodule is used for detecting whether each commodity to be adjusted has a commodity with a special inventory requirement, and the special inventory requirement is inventory requirement information added with a preset mark;
and the second prompting submodule is used for sending second prompting information to the intelligent terminal when the commodities with special inventory requirements exist in the commodities to be adjusted, and the second prompting information comprises the names of the commodities and the special inventory requirements.
According to the method and the device for allocating the regional warehouse goods, the goods of which the delivery destination is not the regional warehouse in each regional warehouse are dispatched to the regional warehouse where the delivery destination of the goods is located according to the preset rules, so that the goods required by the user in the region where each regional warehouse is located can be sent out from the regional warehouse, and the effect of greatly reducing the overall logistics cost is achieved.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings needed to be used in the embodiments will be briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present invention and therefore should not be considered as limiting the scope, and for those skilled in the art, other related drawings can be obtained according to the drawings without inventive efforts.
Fig. 1 is a block diagram of an electronic device according to an embodiment of the present invention.
Fig. 2 is a schematic flowchart of a method for configuring goods in an area warehouse according to an embodiment of the present invention.
Fig. 3 is a schematic diagram of sub-steps of determining a periodicity regularity according to an embodiment of the present invention.
Fig. 4 is a schematic diagram illustrating the sub-steps of step S105 shown in fig. 2.
Fig. 5 is a schematic diagram of another substep of step S105 shown in fig. 2.
Fig. 6 is a functional block diagram of an apparatus for configuring goods in an area warehouse according to an embodiment of the present invention.
Fig. 7 is a connection block diagram of sub-modules of a periodicity regularity determining module according to an embodiment of the present invention.
Fig. 8 is a block diagram showing sub-module connections of the adjustment module shown in fig. 6.
Fig. 9 is a block diagram of a connection of further sub-modules of the adjustment module shown in fig. 6.
Icon: 100-an electronic device; 110-a memory; 120-a processor; 130-a communication unit; 200-regional warehouse goods configuration device; 210-proportion calculation module; 220-time statistics module; 230-a to-be-adjusted commodity determining module; 231-a first decision submodule; 240-allocation and transportation cost acquisition module; 250-an adjustment module; 251-a detection submodule; 252-a first prompt submodule; 253-an inventory requirement information acquisition submodule; 254-Special inventory requirement detection submodule; 255-a second prompt sub-module; 260-a periodic regularity judgment module; 261-a monitoring submodule; 262-second decision submodule.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention. The components of embodiments of the present invention generally described and illustrated in the figures herein may be arranged and designed in a wide variety of different configurations.
Thus, the following detailed description of the embodiments of the present invention, presented in the figures, is not intended to limit the scope of the invention, as claimed, but is merely representative of selected embodiments of the invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
It should be noted that: like reference numbers and letters refer to like items in the following figures, and thus, once an item is defined in one figure, it need not be further defined and explained in subsequent figures.
Fig. 1 is a block diagram of an electronic device 100 according to an embodiment of the present invention. The electronic device 100 includes an area warehouse goods configuration apparatus 200, a memory 110, a processor 120, and a communication unit 130.
The elements of the memory 110, the processor 120 and the communication unit 130 are electrically connected to each other directly or indirectly to realize data transmission or interaction. For example, the components may be electrically connected to each other via one or more communication buses or signal lines. The local warehouse goods configuration apparatus 200 includes at least one software function module which may be stored in the memory 110 in the form of software or firmware (firmware) or solidified in an Operating System (OS) of the electronic device 100. The processor 120 is used for executing executable modules stored in the memory 110, such as software functional modules and computer programs included in the regional warehouse cargo configuration apparatus 200.
The Memory 110 may be, but is not limited to, a Random Access Memory (RAM), a Read Only Memory (ROM), a Programmable Read-Only Memory (PROM), an Erasable Read-Only Memory (EPROM), an electrically Erasable Read-Only Memory (EEPROM), and the like.
The processor 120 may be an integrated circuit chip having signal processing capabilities. The Processor may be a general-purpose Processor, including a Central Processing Unit (CPU), a Network Processor (NP), and the like; but may also be a Digital Signal Processor (DSP)), an Application Specific Integrated Circuit (ASIC), an off-the-shelf programmable gate array (FPGA) or other programmable logic device, discrete gate or transistor logic, discrete hardware components. The various methods, steps and logic blocks disclosed in the embodiments of the present invention may be implemented or performed. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
In this embodiment, the memory 110 is used for storing programs, and the processor 120 is used for executing the programs after receiving the execution instructions. The communication unit 130 is used for establishing communication between the electronic device 100 and an external communication device (e.g., a smart terminal) through a network, and transmitting and receiving information through the network.
It should be understood that the illustration in fig. 1 is merely schematic. Electronic device 100 may have more or fewer components than shown in FIG. 1, or may have a configuration different than that shown in FIG. 1.
Referring to fig. 2, fig. 2 illustrates a local warehouse goods allocation method applied to the electronic device 100 shown in fig. 1, which includes the following steps.
Step S101: and calculating the ratio of the number of the commodities with the delivery destinations located in the area in a preset time period to the total number of the commodities in the area in the preset time period aiming at each commodity in each area warehouse.
In this embodiment, the entire distribution range is divided into areas according to distribution destinations, and at least one warehouse is set in each area. The number of warehouse sections will be described in detail below as an example.
Assuming that an area A warehouse exists, for each type of commodities in the area A warehouse, calculating the ratio of the quantity of the commodities with the delivery destinations located in the area A in a preset time period to the total quantity of the commodities in the area A warehouse in the preset time period. Taking the commodity K as an example, the ratio of the number of the commodities K whose delivery destinations are located in the area a in the commodities K delivered from the area a warehouse within the preset time period is counted.
Wherein the preset time period may be, but is not limited to, one month, one quarter or one year.
Step S102: and when the ratio is lower than a first preset threshold value, counting the time when the commodities of the type appear in the warehouse of the area and the delivery destination of the commodities of the type is not in the area.
When the ratio is higher than a first preset threshold value, the main purpose of the commodity is the area of the area warehouse where the commodity is located, and therefore the logistics cost is low and the commodity belongs to an ideal inventory state.
When the ratio is lower than a first preset threshold value, the commodity is indicated to be in an undesirable stock state. For the commodities in the non-ideal stock state, statistics can be carried out according to the time when the commodities appear in the area warehouse and the delivery destination of the commodities is not in the area.
It should be noted that the first preset threshold may be flexibly set according to actual requirements, which is not limited in this embodiment.
Step S103: and judging whether the time data of the commodities of the type obtained by statistics accords with a preset rule or not, and identifying the commodities of the type as the commodities to be adjusted when the time data of the commodities of the type obtained by statistics accords with the preset rule.
If the item of the type is present in the area warehouse and the delivery destination of the item of the type is not in the area, the item of the type is only accidentally present and may not be processed. If the above-mentioned condition appears in the preset duration continuously, or the appearing time is regular, the commodity of the type can be marked as the commodity to be adjusted.
It should be noted that the step of determining whether the counted time data of the commodity meets the preset rule may include the following steps:
and when the commodities appear in the regional warehouse for a continuously preset time length and/or the counted time data of the commodities have a periodic rule, judging that the counted time data of the commodities conform to a preset rule.
Alternatively, referring to fig. 3, the periodicity regularity may be determined by the following steps.
Step S201: the time when the type of goods appears in the warehouse of the area and the delivery destination of the type of goods is not in the area within a preset number of time periods is monitored.
Step S202: and if the fluctuation range of the time of the commodities appearing in the warehouse in the area is smaller than the preset time limit in each time period, judging that the counted time data of the commodities have a periodic rule.
In this embodiment, the time period may be one month, one quarter, or one year. If the time during which the item of the type appears in the warehouse of the area and the delivery destination of the item of the type is not in the area is relatively stable, it can be determined that the item of the type is a seasonal item, and the stock of the item of the type needs to be adjusted. That is, the type of merchandise is identified as the merchandise to be adjusted.
The preset time limit can be flexibly set according to the length of the time period. For example, when the period of time is one year, the preset time limit may be set to 15 days. Assuming that an a-area warehouse exists, on the first year, 5 months and 10 days, the commodity K appears in the a-area warehouse, and the delivery destination is not in the a-area. On the next year, 5 months and 1 days, the commodity K appears in the a-area warehouse, and the delivery destination is not in the a-area. On the third year, day 5, month 20, the commodity K appears in the a-area warehouse, and the delivery destination is not in the a-area. Since the fluctuation range of the three times is less than 15 days, the commodity K can be judged to be a seasonal commodity, and is marked as a commodity to be adjusted.
The fluctuation range may be represented by a variance or a standard deviation, and accordingly, the specific value of the preset time limit is adjusted correspondingly.
Step S104: and acquiring the dispatching cost of each commodity to be adjusted from a prestored transportation cost database.
The allocation cost of each commodity to be adjusted is the transportation cost required for transporting the commodity to be adjusted from the current local area warehouse to the local area warehouse where the delivery destination of the commodity to be adjusted is located.
In this embodiment, the transportation cost required for transporting various types of commodities between any two regional warehouses is pre-stored in the electronic device 100. The transportation cost may be calculated according to distance cost, measurement unit, unit weight, commodity quantity, and the like, and the specific calculation method is not limited in this embodiment.
The calculated transportation cost of each commodity can be compared with a preset cost value to obtain a transportation cost ratio. Thus, the transportation cost of each type of commodity among the warehouses in different areas can be expressed by the transportation cost ratio. It can be understood that the transportation cost of the commodity with a large proportion value is large, and the distribution cost is also large.
Step S105: and adjusting each commodity to be adjusted to the area warehouse where the delivery destination of the commodity to be adjusted is located in the next delivery period according to the sequence from high to low allocation cost.
In this embodiment, the inventory of the commodities with high transportation cost is preferentially adjusted. That is, in the next shipment cycle, the item of the type is shipped to the area warehouse where the delivery destination of the item of the type is located. Therefore, the goods can be directly delivered from the area warehouse where the delivery destination is located, and the required logistics cost is low.
Optionally, referring to fig. 4, the step S105 may include two substeps, i.e., a step S301 and a step S302.
Step S301: and detecting whether the commodities to be adjusted with the allocation and transportation cost lower than a second preset threshold exist in the commodities to be adjusted.
Step S302: when the commodities to be adjusted with the allocation and transportation cost lower than a second preset threshold value exist in the commodities to be adjusted, the commodities to be adjusted are marked as selectable adjusting commodities, and first prompt information is generated and sent to the intelligent terminal.
In this embodiment, the cost of the entire distribution is less affected by the commodity with a low distribution cost, and therefore, the commodity can be selectively adjusted. For example, when the number of the commodities to be adjusted is large, the optional adjustment commodities may be selected not to be adjusted.
After the optional adjustment commodity is determined, first prompt information can be generated to prompt corresponding staff, so that the staff can determine whether to adjust according to actual conditions.
Optionally, referring to fig. 5, the step S105 may further include three substeps, i.e., step S303, step S304, and step S305.
Step S303: and acquiring the inventory requirement information of each commodity to be adjusted from a pre-stored commodity information database.
Step S304: and detecting whether the commodities with special inventory requirements exist in the commodities to be adjusted.
The special inventory requirement is inventory requirement information added with a preset mark.
Step S305: and when the commodities with special inventory requirements exist in the commodities to be adjusted, sending second prompt information to the intelligent terminal.
The second prompt message may include the name of the product and the special inventory requirement.
In practical applications, some commodities with special inventory requirements may exist, and a preset mark may be added to the information related to the commodities in the electronic device 100. In this way, when the electronic device 100 detects the product added with the preset mark, it may determine that the product has the special inventory requirement, and generate the second prompt message including the special inventory requirement to be sent to the intelligent terminal.
In this embodiment, the intelligent terminal may be a communication device of a related worker.
Referring to fig. 6, a local warehouse cargo allocation apparatus 200 according to a preferred embodiment of the present invention is applied to the electronic device 100 shown in fig. 1. The device comprises a proportion calculation module 210, a time counting module 220, a to-be-adjusted commodity determination module 230, a dispatching cost acquisition module 240 and an adjustment module 250.
The proportion calculating module 210 is configured to calculate, for each type of goods in each area warehouse, a ratio of the number of the goods in the area where the delivery destination of the type of goods is located in a preset time period to the total number of the type of goods in the preset time period.
In this embodiment, the description of the proportion calculating module 210 may specifically refer to the detailed description of step S101 shown in fig. 2, that is, the step S101 may be executed by the proportion calculating module 210.
The time counting module 220 is configured to count the time when the category of goods appears in the warehouse of the area when the ratio is lower than a first preset threshold. In this embodiment, the description of the time statistic module 220 may specifically refer to the detailed description of step S102 shown in fig. 2, that is, the step S102 may be executed by the time statistic module 220.
The to-be-adjusted commodity determining module 230 is configured to determine whether the counted time data meets a preset rule, and identify the commodity as the to-be-adjusted commodity when the counted time data of the commodity meets the preset rule.
In this embodiment, the detailed description of step S103 shown in fig. 2 may be specifically referred to for the description of the to-be-adjusted product determination module 230, that is, the step S103 may be executed by the to-be-adjusted product determination module 230.
The allocation and transportation cost obtaining module 240 is configured to obtain allocation and transportation costs of the commodities to be adjusted from a pre-stored transportation cost database.
The allocation cost of each commodity to be adjusted is the transportation cost required for transporting the commodity to be adjusted from the current local area warehouse to the local area warehouse where the delivery destination of the commodity to be adjusted is located. In this embodiment, the description of the commissioning cost obtaining module 240 may specifically refer to the detailed description of step S104 shown in fig. 2, that is, step S104 may be performed by the commissioning cost obtaining module 240.
The adjusting module 250 is configured to adjust each commodity to be adjusted to the area warehouse where the delivery destination of the commodity to be adjusted is located in the next delivery cycle according to the order from high to low of the dispatching cost. In the present embodiment, the description of the adjusting module 250 may specifically refer to the detailed description of step S105 shown in fig. 2, that is, step S105 may be performed by the adjusting module 250.
Optionally, in this embodiment, the to-be-adjusted product determining module 230 may include a first determining sub-module 231.
The first determining submodule 231 is configured to determine that the time data of the commodity, which is obtained through statistics, meets a preset rule when the commodity appears in the warehouse of the area for a continuously preset duration and/or the time data of the commodity, which is obtained through statistics, has a periodic rule.
In this embodiment, for the description of the first determining sub-module 231, reference may be made to the detailed description of the corresponding steps in the above description, and details are not repeated here.
Optionally, referring to fig. 7, the apparatus may further include a periodic regularity decision module 260, where the periodic regularity decision module 260 may include a monitoring submodule 261 and a second decision submodule 262.
The monitoring submodule 261 is configured to monitor a time when the type of commodity appears in the warehouse of the area within a preset number of time periods. In this embodiment, the description of the monitoring submodule 261 may specifically refer to the detailed description of step S201 shown in fig. 3, that is, the step S201 may be executed by the monitoring submodule 261.
The second determining submodule 262 is configured to determine that the counted time data of the commodity has a periodic rule when the fluctuation amplitude of the time when the commodity appears in the warehouse in each time period is smaller than a preset time limit.
In this embodiment, the description of the second determining module 262 may specifically refer to the detailed description of step S202 shown in fig. 3, that is, the step S202 may be executed by the second determining module 262.
Optionally, referring to fig. 8, the adjusting module 250 may include a detecting sub-module 251 and a first prompting sub-module 252.
The detection submodule 251 is configured to detect whether there is a commodity to be adjusted in which the allocation and transportation cost is lower than a second preset threshold in the commodities to be adjusted. In this embodiment, the description of the detection sub-module 251 may specifically refer to the detailed description of step S301 shown in fig. 4, that is, the step S301 may be executed by the detection sub-module 251.
The first prompting submodule 252 is configured to, when there is a to-be-adjusted commodity in the to-be-adjusted commodities, whose allocation and transportation cost is lower than a second preset threshold, identify the to-be-adjusted commodity as a selectable adjustment commodity, generate first prompting information, and send the first prompting information to the intelligent terminal.
In this embodiment, the description of the first prompting sub-module 252 may specifically refer to the detailed description of the step S302 shown in fig. 4, that is, the step S302 may be executed by the first prompting sub-module 252.
Optionally, referring to fig. 9, the adjusting module 250 may further include an inventory requirement information obtaining sub-module 253, a special inventory requirement detecting sub-module 254, and a second prompting sub-module 255.
The inventory requirement information obtaining sub-module 253 is configured to obtain inventory requirement information of each to-be-adjusted commodity from a pre-stored commodity information database. In this embodiment, the detailed description of the step S303 shown in fig. 5 may be specifically referred to for the description of the inventory requirement information obtaining sub-module 253, that is, the step S303 may be performed by the inventory requirement information obtaining sub-module 253.
The special inventory requirement detecting submodule 254 is configured to detect whether there is a commodity with a special inventory requirement in the commodities to be adjusted.
The special inventory requirement is inventory requirement information added with a preset mark. In this embodiment, the description of the special inventory requirement detection sub-module 254 may specifically refer to the detailed description of step S304 shown in fig. 5, that is, the step S304 may be performed by the inventory requirement information obtaining sub-module 253.
The second prompting sub-module 255 is configured to send second prompting information to the intelligent terminal when there is a product with a special inventory requirement in the products to be adjusted. The second prompt message comprises the name of the commodity and the special inventory requirement.
In this embodiment, the detailed description of the step S305 shown in fig. 5 may be specifically referred to for the description of the second prompting sub-module 255, that is, the step S305 may be executed by the second prompting sub-module 255.
In summary, according to the method and the device for allocating goods in regional warehouses provided by the invention, the goods identifier of which the delivery destination is not the regional warehouse in each regional warehouse is dispatched to the regional warehouse where the delivery destination of the goods is located in accordance with the preset rule, so that the goods required by the user in the region where each regional warehouse is located can be sent out from the regional warehouse, and the effect of greatly reducing the overall logistics cost is achieved.
In the embodiments provided in the present application, it should be understood that the disclosed apparatus and method can be implemented in other ways. The apparatus embodiments described above are merely illustrative, and for example, the flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of apparatus, methods and computer program products according to various embodiments of the present invention. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
In addition, the functional modules in the embodiments of the present invention 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.
The functions, if implemented in the form of software functional modules and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes. It is noted that, herein, 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. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.
The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention, and various modifications and changes may be made by those skilled in the art. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (6)
1. An area warehouse goods configuration method is applied to electronic equipment, and the method comprises the following steps:
the method comprises the steps that the whole distribution range is divided into areas according to distribution destinations, at least one warehouse is arranged in each area, and the ratio of the quantity of the commodities with the distribution destinations located in the areas in a preset time period to the total quantity of the commodities in the preset time period is calculated for each commodity in each area warehouse;
when the ratio is lower than a first preset threshold value, counting the time when the commodities appear in the warehouse of the area and the delivery destination of the commodities is not in the area;
judging whether the time data of the commodities of the type obtained through statistics accords with a preset rule or not, and identifying the commodities of the type as the commodities to be adjusted when the time data of the commodities of the type obtained through statistics accords with the preset rule;
acquiring the allocation and transportation cost of each commodity to be adjusted from a prestored transportation cost database, wherein the allocation and transportation cost of each commodity to be adjusted is the transportation cost required for transporting the commodity to be adjusted from the current local area warehouse to the local area warehouse where the delivery destination of the commodity to be adjusted is located;
adjusting each commodity to be adjusted to an area warehouse where a delivery destination of the commodity to be adjusted is located in the next delivery period according to the sequence from high to low allocation and transportation costs;
the step of adjusting each commodity to be adjusted to the area warehouse where the delivery destination of the commodity to be adjusted is located in the next delivery cycle according to the order of the dispatching cost from high to low comprises the following steps:
detecting whether the commodities to be adjusted with the allocation and transportation cost lower than a second preset threshold exist in the commodities to be adjusted;
when the goods to be adjusted with the transportation cost lower than a second preset threshold value exist in the goods to be adjusted, identifying the goods to be adjusted as selectable adjustment goods, generating first prompt information and sending the first prompt information to the intelligent terminal;
acquiring inventory requirement information of each commodity to be adjusted from a pre-stored commodity information database;
detecting whether each commodity to be adjusted has a commodity with a special inventory requirement, wherein the special inventory requirement is inventory requirement information added with a preset mark;
and when the commodities with special inventory requirements exist in the commodities to be adjusted, sending second prompt information to the intelligent terminal, wherein the second prompt information comprises the names of the commodities and the special inventory requirements.
2. The method for allocating regional warehouse goods according to claim 1, wherein the step of determining whether the counted time data of the type of goods meets a preset rule comprises:
and when the commodities appear in the regional warehouse for a continuously preset time length and/or the counted time data of the commodities have a periodic rule, judging that the counted time data of the commodities conform to a preset rule.
3. The regional warehouse cargo allocation method of claim 2, wherein the periodic regularity is determined by:
monitoring the time when the commodities appear in the warehouse of the area and the delivery destinations of the commodities are not in the area within a preset number of time periods;
and if the goods appear in the warehouse of the area in each time period and the fluctuation range of the time when the delivery destination of the goods is not in the area is smaller than the preset time limit, judging that the counted time data of the goods has a periodic rule.
4. An area warehouse goods allocation device, applied to electronic equipment, the device comprising:
the proportion calculation module is used for carrying out area division on the whole distribution range according to distribution destinations, at least one warehouse is arranged in each area, and the ratio of the quantity of the commodities with the distribution destinations located in the area in a preset time period to the total quantity of the commodities in the preset time period is calculated for each commodity in each area warehouse;
the time counting module is used for counting the time of the commodities appearing in the warehouse of the area when the ratio is lower than a first preset threshold value;
the to-be-adjusted commodity determining module is used for judging whether the time data obtained by statistics accords with a preset rule or not, and identifying the commodity as the to-be-adjusted commodity when the time data of the commodity obtained by statistics accords with the preset rule;
the allocation and transportation cost acquisition module is used for acquiring allocation and transportation costs of the commodities to be adjusted from a prestored transportation cost database, wherein the allocation and transportation costs of the commodities to be adjusted are transportation costs required for transporting the commodities to be adjusted from a current local area warehouse to a local area warehouse where a delivery destination of the commodities to be adjusted is located;
the adjusting module is used for adjusting each commodity to be adjusted to the area warehouse where the delivery destination of the commodity to be adjusted is located in the next delivery period according to the sequence of the dispatching cost from high to low;
the adjustment module includes:
the detection submodule is used for detecting whether the commodities to be adjusted with the allocation and transportation cost lower than a second preset threshold exist in the commodities to be adjusted;
the first prompting submodule is used for identifying the commodities to be adjusted as selectable adjusting commodities when the commodities to be adjusted with the allocation and transportation cost lower than a second preset threshold value exist in the commodities to be adjusted, generating first prompting information and sending the first prompting information to the intelligent terminal;
the inventory requirement information acquisition submodule is used for acquiring inventory requirement information of each commodity to be adjusted from a pre-stored commodity information database;
the special inventory requirement detection submodule is used for detecting whether each commodity to be adjusted has a commodity with a special inventory requirement, and the special inventory requirement is inventory requirement information added with a preset mark;
and the second prompting submodule is used for sending second prompting information to the intelligent terminal when the commodities with special inventory requirements exist in the commodities to be adjusted, and the second prompting information comprises the names of the commodities and the special inventory requirements.
5. The regional warehouse cargo allocation apparatus of claim 4, wherein the to-be-adjusted merchandise determination module comprises:
the first judging submodule is used for judging that the time data of the commodities, obtained through statistics, meet preset rules when the commodities appear in the regional warehouse for a continuous preset time length and/or the time data of the commodities, obtained through statistics, have a periodic rule.
6. The regional warehouse cargo allocation apparatus of claim 5, wherein the apparatus further comprises a periodic regularity determination module, the periodic regularity determination module comprising:
the monitoring submodule is used for monitoring the time when the commodities appear in the regional warehouse within a preset number of time periods;
and the second judging submodule is used for judging that the statistical time data of the commodities have a periodic rule when the fluctuation amplitude of the time of the commodities appearing in the warehouse is less than the preset time limit in each time period.
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| CN111401619B (en) * | 2020-03-10 | 2023-06-27 | 杭州网易再顾科技有限公司 | Purchasing order processing method and device, electronic equipment and storage medium |
| CN112819408A (en) * | 2021-01-29 | 2021-05-18 | 晋江易库物联网科技有限公司 | Intelligent warehouse goods in-out management method and system |
| CN113325905B (en) * | 2021-06-09 | 2022-02-18 | 陈伯温 | Intelligent control system and method for cold chain commodity storage environment and intelligent terminal |
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