CN110046755A - Allot the determination method and apparatus in warehouse - Google Patents
Allot the determination method and apparatus in warehouse Download PDFInfo
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- CN110046755A CN110046755A CN201910264124.3A CN201910264124A CN110046755A CN 110046755 A CN110046755 A CN 110046755A CN 201910264124 A CN201910264124 A CN 201910264124A CN 110046755 A CN110046755 A CN 110046755A
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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
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Abstract
The embodiment of the present invention provides a kind of determination method and apparatus for alloting warehouse, this method comprises: obtaining each supply of material warehouse in the historic sales data of first time period, and according to the historic sales data of the sales trend prediction model in each supply of material warehouse and the first time period, determine that sales volume is predicted the first of second time period in each supply of material warehouse；It obtains and allots expense between each supply of material warehouse and warehouse out of stock；According to the first prediction sales volume and it is described allot expense, determine in each supply of material warehouse and allot warehouse with what the warehouse out of stock was alloted；The identification information for alloting warehouse is sent to the person's of alloting terminal device.The embodiment of the present invention can accurately obtain it is optimal allot warehouse, reduce cargo transport cost.
Description
Technical field
The present embodiments relate to warehousing management field more particularly to a kind of determination method and apparatus for alloting warehouse.
Background technique
With the combination of entity StoreFront and e-commerce, businessman's average daily order to be treated grows steadily, to cargo
Demand greatly increases.To avoid warehouse out of stock, it is often necessary to allot cargo from other warehouses and replenish.
Currently, existing warehouse of alloting is mainly artificial determining, warehouse usually is alloted by depositary management personnel are empirically determined.
However, it is found by the inventors that subjectivity of the method for Fang Ku due to relying on depositary management personnel completely is alloted in this artificial determination
Experience, it is difficult to accurately find it is optimal allot warehouse, cause freight increased costs.
Summary of the invention
The present invention provides a kind of determination method and apparatus for alloting warehouse, can accurately find it is optimal allot warehouse, drop
Low cargo transport cost.
In a first aspect, the embodiment of the present invention provides a kind of determination method for alloting warehouse, comprising:
Each supply of material warehouse is obtained in the historic sales data of first time period, and pre- according to the sales trend in each supply of material warehouse
The historic sales data for surveying model and the first time period determines each supply of material warehouse in the first prediction sale of second time period
Amount；
It obtains and allots expense between each supply of material warehouse and warehouse out of stock；
According to it is described first prediction sales volume and it is described allot expense, determine in each supply of material warehouse with it is described shortage of goods warehouse into
What row was alloted allots warehouse；
The identification information for alloting warehouse is sent to the person's of alloting terminal device.
In the first possible implementation of the first aspect, described according to the first prediction sales volume and the tune
The expense of dialling determines in each supply of material warehouse and allots warehouse with what the warehouse out of stock was alloted, comprising:
Obtain the quantity in stock in each supply of material warehouse and the amount out of stock in the warehouse out of stock；
Determine that quantity in stock is greater than the described first target bin for predicting the sum of sales volume and the amount out of stock in each supply of material warehouse
Library；
It determines that the warehouse for alloting network minimal in the target warehouse is used as and allots warehouse.
The possible implementation of with reference to first aspect the first, in the second possible implementation, described in acquisition
The amount out of stock in warehouse out of stock, comprising:
Historic sales data of the warehouse out of stock in the third period is obtained, and is become according to the sale in the warehouse out of stock
The historic sales data of gesture prediction model and the third period determines that the warehouse out of stock is second pre- in the 4th period
Survey sales volume；
Obtain the current quantity in stock in the warehouse out of stock；
The amount out of stock in the warehouse out of stock is determined according to the second prediction sales volume and the current quantity in stock.
In a third possible implementation of the first aspect, further includes:
If the quantity for alloting warehouse be it is multiple, obtain respectively allot between warehouse and the warehouse out of stock when alloting
Between, and determine that alloting time shortest warehouse as final allots warehouse.
In a fourth possible implementation of the first aspect, further includes:
Establish initial sales trend prediction model；
Obtain the historic sales data in each supply of material warehouse；
The initial sales trend prediction model is trained according to the historic sales data in each supply of material warehouse, is obtained
The sales trend prediction model in each supply of material warehouse, wherein the historic sales data include festivals or holidays historic sales data and
The historic sales data of non-festivals or holidays.
The 4th kind of possible implementation with reference to first aspect, in a fifth possible implementation, the basis
Before the historic sales data in each supply of material warehouse is trained the initial sales trend prediction model, further includes:
The sales data for promoting day in the historic sales data is removed, and lacks day in historic sales data described in completion
Sales check.
The 5th kind of possible implementation with reference to first aspect, in a sixth possible implementation, the completion
The sales check of day is lacked in the historic sales data, comprising:
The the first odd-numbered day sales volume and the second odd-numbered day sales volume of the missing day latter day of missing day proxima luce (prox. luc) are obtained, and
Using the average value of the first odd-numbered day sales volume and the second odd-numbered day sales volume as the sales volume of the missing day.
Second aspect, the embodiment of the present invention provide a kind of determining device for alloting warehouse, comprising:
Prediction module, for obtaining each supply of material warehouse in the historic sales data of first time period, and according to each for freight house
The sales trend prediction model in library and the historic sales data of the first time period determine each supply of material warehouse in second time period
First prediction sales volume；
Module is obtained, allots expense between each supply of material warehouse and warehouse out of stock for obtaining；
Determining module, for according to the first prediction sales volume and it is described allot expense, determine in each supply of material warehouse and
What the shortage of goods warehouse was alloted allots warehouse；
Sending module, for the identification information for alloting warehouse to be sent to the person's of alloting terminal device.
The third aspect, the embodiment of the present invention provide one kind and allot warehouse locking equipment really, comprising: at least one processor and
Memory；
The memory stores computer executed instructions；
At least one described processor executes the computer executed instructions of memory storage so that it is described at least one
Processor executes the determination method for alloting warehouse as described in first aspect of the embodiment of the present invention.
Fourth aspect, the embodiment of the present invention provide a kind of computer readable storage medium, the computer-readable storage medium
It is stored with computer executed instructions in matter, when processor executes the computer executed instructions, realizes such as the embodiment of the present invention
The determination method in warehouse is alloted described in first aspect.
The determination method and apparatus provided in an embodiment of the present invention for alloting warehouse, the embodiment of the present invention pass through each supply of material warehouse
In the historic sales data and sales trend prediction model of first time period, predict each supply of material warehouse the first of second time period
It predicts sales volume, allots expense further according between the first prediction sales volume and each supply of material warehouse and warehouse out of stock in each supply of material warehouse
Warehouse is alloted with determination, and the identification information for alloting warehouse is sent to the person's of alloting terminal, obtains the person of alloting accurately optimal
Warehouse is alloted, delivery efficiency is improved.
Detailed description of the invention
In order to more clearly explain the embodiment of the invention or the technical proposal in the existing technology, to embodiment or will show below
There is attached drawing needed in technical description to be briefly described, it should be apparent that, the accompanying drawings in the following description is only this
Some embodiments of invention without any creative labor, may be used also for those of ordinary skill in the art
To obtain other drawings based on these drawings.
Fig. 1 is the architecture diagram of the determination system provided in an embodiment of the present invention for alloting warehouse；
Fig. 2 is the implementation flow chart one of the determination method provided in an embodiment of the present invention for alloting warehouse；
Fig. 3 is the implementation flow chart two of the determination method provided in an embodiment of the present invention for alloting warehouse；
Fig. 4 is the implementation flow chart three of the determination method provided in an embodiment of the present invention for alloting warehouse；
Fig. 5 is the implementation flow chart four of the determination method provided in an embodiment of the present invention for alloting warehouse；
Fig. 6 is the structural schematic diagram one of the determining device provided in an embodiment of the present invention for alloting warehouse；
Fig. 7 is the structural schematic diagram two of the determining device provided in an embodiment of the present invention for alloting warehouse；
Fig. 8 is the hardware structural diagram provided in an embodiment of the present invention for alloting warehouse locking equipment really.
Specific embodiment
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention carries out clear, complete
Site preparation description, it is clear that described embodiments are only a part of the embodiments of the present invention, instead of all the embodiments.It is based on
Embodiment in the present invention, it is obtained by those of ordinary skill in the art without making creative efforts every other
Embodiment shall fall within the protection scope of the present invention.
Description and claims of this specification and term " first ", " second ", " third " " in above-mentioned attached drawing
The (if present)s such as four " are to be used to distinguish similar objects, without being used to describe a particular order or precedence order.It should manage
The data that solution uses in this way are interchangeable under appropriate circumstances, so that the embodiment of the present invention described herein for example can be to remove
Sequence other than those of illustrating or describe herein is implemented.In addition, term " includes " and " having " and theirs is any
Deformation, it is intended that cover it is non-exclusive include, for example, containing the process, method of a series of steps or units, system, production
Product or equipment those of are not necessarily limited to be clearly listed step or unit, but may include be not clearly listed or for this
A little process, methods, the other step or units of product or equipment inherently.
Fig. 1 is the architecture diagram of the determination system provided in an embodiment of the present invention for alloting warehouse, as shown in Figure 1, the present invention is real
Apply the determination system for alloting warehouse in example, comprising: allot server 101, inventory management server 102 and terminal device 103.
Server 101, inventory management server 102 and terminal device 103 is alloted to connect by network 104.
It allots server 101 and inventory management server 102 can be platform server, be also possible to multiple servers composition
Server cluster or a cloud computing platform.
Inventory management server 102 is used to be managed warehouse, the quantity in stock in each supply of material warehouse of storage or warehouse out of stock,
Sales volume adjusts the information such as goods amount and the amount of stocking up.Inventory management server 102 can be one, by an inventory management server
The each supply of material warehouse of 102 management and warehouse out of stock.Inventory management server 102 can be multiple, each inventory management server 102
Manage corresponding supply of material warehouse or warehouse out of stock.
Terminal device 103 is the terminal device for the person of alloting, and terminal device 103 is setting for the identification information that warehouse is alloted in display
It is standby, including but not limited to: desktop computer, laptop, tablet computer, mobile phone, intelligent wearable device etc..
It should be understood that allot server 101, inventory management server 102 and the terminal device 103 in Fig. 1 are only
Schematically, as needed, setting is any number of allots server 101, inventory management server 102 and terminal device 103.
Existing warehouse of alloting is mainly artificial determining, usually allots warehouse by depositary management personnel are empirically determined, however,
Subjective experience of the method for Fang Ku due to relying on depositary management personnel completely is alloted in this artificial determination, it is difficult to accurately find optimal tune
Warehouse is dialled, increased costs of freighting are caused.For example, the warehouse A is out of stock, the person of alloting allots cargo to the warehouse A from the warehouse B, but due to B
The sales volume in warehouse is big, causes the warehouse B also can be out of stock, also to be alloted from other warehouses cargo to the warehouse B.For another example the storehouse A
Library is out of stock, and the person of alloting allots cargo to the warehouse A from the warehouse B, in fact, alloting cargo from the warehouse C allots expense most to the warehouse A
It is low.
The embodiment of the present invention combines the tune between the prediction sales volume and each supply of material warehouse and warehouse out of stock in each supply of material warehouse
The expense of dialling, determine it is optimal allot warehouse, reduce cargo transport cost.
Technical solution of the present invention is described in detail with specifically embodiment below.These specific implementations below
Example can be combined with each other, and the same or similar concept or process may be repeated no more in some embodiments.
Fig. 2 is the implementation flow chart one of the determination method provided in an embodiment of the present invention for alloting warehouse, and the present embodiment is held
Row main body is to allot server in Fig. 1.As shown in Fig. 2, the method for the present embodiment, may include:
Step S201 obtains each supply of material warehouse in the historic sales data of first time period, and according to each supply of material warehouse
The historic sales data of sales trend prediction model and the first time period determines each supply of material warehouse the of second time period
One prediction sales volume.
In embodiments of the present invention, deep learning algorithm, Recognition with Recurrent Neural Network, deep neural network, convolution can be passed through
Neural network scheduling algorithm obtains sales trend prediction model.Sales trend prediction model is for predicting corresponding each supply of material warehouse
Or the sales trend of warehouse following a period of time out of stock.For example, the historic sales data by a certain warehouse in first time period is made
It is inputted in the corresponding sales trend prediction model in the warehouse for input quantity, the prediction for exporting the warehouse in second time period is sold
Amount.
Historic sales data includes but is not limited to the data such as time, odd-numbered day sales volume, season, weather.
First time period can be related to second time period, for example, the historic sales data of first time period is one month
Interior historic sales data, then second time period can be current time to one month later.It is understood that when second
Between section also can according to need and set, the embodiment of the present invention is not specifically limited.
Different supply of material warehouses and shortage of goods warehouse leads to each supply of material warehouse and warehouse out of stock since geographical location is not identical
Sales data is different, and sales trend prediction model is not also identical.By the historic sales data of the first time period in each supply of material warehouse
It inputs in corresponding sales trend prediction model, exports each supply of material warehouse in the first prediction sales volume of second time period.
Step S202 is obtained and is alloted expense between each supply of material warehouse and warehouse out of stock.
In embodiments of the present invention, influence to allot expense factor include: the distance between supply of material warehouse and warehouse out of stock,
Freight charges, means of transport, haulage time, volume of freight of unit distance etc..
In a kind of possible implementation, the geographical location information in each supply of material warehouse, the geographical location in warehouse out of stock are obtained
Unit distance freight charges between information and each supply of material warehouse and warehouse out of stock；According to the geographical location information in each supply of material warehouse, lack
Unit distance freight charges construct having based on freight charges between the geographical location information in freight house library and each supply of material warehouse and warehouse out of stock
Xiang Tu is determined according to digraph and is alloted expense between each supply of material warehouse and warehouse out of stock.
Step S203, according to it is described first prediction sales volume and it is described allot expense, determine in each supply of material warehouse with it is described
What warehouse out of stock was alloted allots warehouse.
The identification information for alloting warehouse is sent to the person's of alloting terminal device by step S204.
In embodiments of the present invention, sales volume is predicted according to the first of each supply of material warehouse and allot expense, determine each supply of material
That is alloted in warehouse with warehouse out of stock allots warehouse, and the terminal that the identification information for alloting warehouse is sent to the person of alloting is set
It is standby, so that the person of alloting is carried out cargo and allots.Wherein, the identification information for alloting warehouse includes but is not limited to the title for alloting warehouse, mark
The information such as knowledge number.
Historic sales data and sales trend of the embodiment of the present invention by each supply of material warehouse in first time period predict mould
Type predicts that sales volume is predicted the first of second time period in each supply of material warehouse, and the first prediction further according to each supply of material warehouse is sold
The alloting expense measured between each supply of material warehouse and warehouse out of stock determines the identification information transmission alloted warehouse, and will allot warehouse
To the person's of alloting terminal, make the person of alloting accurately obtain it is optimal allot warehouse, reduce cargo transport cost.
As an embodiment of the present invention, referring to FIG. 3, Fig. 3 allots warehouse really to be provided in an embodiment of the present invention
Determine the implementation flow chart two of method, on the basis of embodiment shown in Fig. 2 of the embodiment of the present invention, detailed description step S203's
A kind of possible implementation, as shown in Fig. 2, the method for the embodiment of the present invention includes:
Step S301 obtains the quantity in stock in each supply of material warehouse and the amount out of stock in the warehouse out of stock.
Step S302 determines that quantity in stock is greater than the sum of the first prediction sales volume and the amount out of stock in each supply of material warehouse
Target warehouse.
Step S303 determines that the warehouse for alloting network minimal in the target warehouse is used as and allots warehouse.
In embodiments of the present invention, the quantity in stock in each warehouse is obtained by inventory management server.
The amount out of stock in warehouse out of stock can be determined by staff in a kind of possible implementation, alternatively possible reality
In existing mode, sales trend of the warehouse out of stock in following a period of time is predicted by the sales trend prediction model in warehouse out of stock,
And combine the amount out of stock in the determining warehouse out of stock of the current quantity in stock in warehouse out of stock.
If the quantity in stock in a certain supply of material warehouse is greater than the first prediction sales volume in the warehouse and the amount out of stock in warehouse out of stock, table
The quantity in stock in the bright warehouse is sufficient, and cargo can be alloted from the warehouse to warehouse out of stock, then the warehouse is determined as target warehouse.
When quantity in target warehouse is one, using target warehouse as warehouse is alloted, when target warehouse is multiple, in target warehouse
The warehouse that network minimal is alloted in middle selection, which is used as, allots warehouse.
The embodiment of the present invention passes through the first prediction sales volume for combining each warehouse and allots freight charges, and warehouse is alloted in determination, is dropped
Low cargo transport cost.
As an embodiment of the present invention, referring to FIG. 4, Fig. 4 allots warehouse really to be provided in an embodiment of the present invention
Determine the implementation flow chart three of method, on the basis of embodiment shown in Fig. 3 of the embodiment of the present invention, is described in detail in step S301
Obtain a kind of possible implementation of the amount out of stock in the warehouse out of stock.As shown in figure 4, the method for the present embodiment can wrap
It includes:
Step S401 obtains historic sales data of the warehouse out of stock in the third period, and according to the storehouse out of stock
The historic sales data of the sales trend prediction model in library and the third period determines the warehouse out of stock in the 4th time
Second prediction sales volume of section.
Step S402 obtains the current quantity in stock in the warehouse out of stock.
Step S403 determines the shortage of goods in the warehouse out of stock according to the second prediction sales volume and the current quantity in stock
Amount.
In embodiments of the present invention, the amount out of stock in warehouse out of stock passes through the second prediction sales volume in warehouse out of stock and current library
Storage determines.
Historic sales data using warehouse out of stock in the third period inputs as input quantity the sales trend in warehouse out of stock
In prediction model, the second prediction sales volume of the 4th period of output.
Historic sales data includes but is not limited to the data such as time, odd-numbered day sales volume, season, weather.
The third period can be related to the 4th period, for example, the historic sales data of third period is one month
Interior historic sales data, then the 4th period can be current time to one month later.It is understood that when the 4th
Between section also can according to need and set, the embodiment of the present invention is not specifically limited.
It can be obtained by deep learning algorithm, Recognition with Recurrent Neural Network, deep neural network, convolutional neural networks scheduling algorithm
Take the sales trend prediction model in warehouse out of stock.In a kind of possible implementation, the sales trend prediction in shortage of goods warehouse is determined
The method of model the following steps are included:
The initial sale trend prediction model for establishing warehouse out of stock obtains the historical sales receipt in warehouse out of stock, according to scarce
The historic sales data in freight house library is trained the initial sale trend prediction model, and the sales trend for obtaining warehouse out of stock is pre-
Survey model.
The current quantity in stock in warehouse out of stock is obtained by inventory management server.Second prediction sales volume and current quantity in stock
The sum of be warehouse out of stock amount out of stock.
As an embodiment of the present invention, on the basis of embodiment shown in Fig. 2, the determination method for alloting warehouse may be used also
To include:
If the quantity for alloting warehouse be it is multiple, obtain respectively allot between warehouse and the warehouse out of stock when alloting
Between, and determine that alloting time shortest warehouse as final allots warehouse.
In embodiments of the present invention, if allot warehouse quantity be it is multiple, selection allot time shortest warehouse conduct
Final allots warehouse, and cargo is made to allot the sales volume for avoiding influencing warehouse out of stock to warehouse out of stock from alloting warehouse as soon as possible.
As an embodiment of the present invention, referring to FIG. 5, Fig. 5 allots warehouse really to be provided in an embodiment of the present invention
The implementation flow chart four for determining method, on the basis of any of the above-described embodiment, the method for the present embodiment can also include:
Step S501 establishes initial sales trend prediction model.
Step S502 obtains the historic sales data in each supply of material warehouse.
Step S503 carries out the initial sales trend prediction model according to the historic sales data in each supply of material warehouse
Training obtains the sales trend prediction model in each supply of material warehouse, wherein the historic sales data includes the history pin of festivals or holidays
Sell the historic sales data of data and non-festivals or holidays.
In embodiments of the present invention, initial sales trend prediction model can be that neural network model also can be for it
His model, the embodiment of the present invention are not specifically limited.Using the historic sales data in each supply of material warehouse as training sample, to initial
Sales trend prediction model be trained, obtain it is each the supply of material warehouse sales trend prediction model.Historic sales data is not only
Historic sales data including non-festivals or holidays, further includes the historic sales data of festivals or holidays, to make sales trend prediction model
It can predict the sales volume of non-festivals or holidays, can also predict the sales volume of festivals or holidays.
For example, establishing neural network model as initial sales trend prediction model, the history in each supply of material warehouse is obtained
Sales data is respectively trained neural network model as training sample, obtains the sales trend prediction in each supply of material warehouse
Model.
Obtain it is each the supply of material warehouse sales trend prediction model after, by it is each the supply of material warehouse the 5th period historical sales
In data input sale trend prediction model, the third for exporting each supply of material warehouse in the 6th period predicts sales volume, by each confession
The third prediction sales volume historic sales data corresponding with the 6th period in freight house library is compared, if the two mismatches,
Sales trend prediction model is modified, and is predicted revised sales trend prediction model as final sales trend
Model.
As an embodiment of the present invention, on the basis of embodiment shown in Fig. 5, the determination method for alloting warehouse may be used also
To include:
The sales data for promoting day in the historic sales data is removed, and lacks day in historic sales data described in completion
Sales volume.
In embodiments of the present invention, in historic sales data, due to advertising campaign, the sales volume for promoting day usually compares
Greatly, it is not suitable as training sample, therefore, it is necessary to delete the sales data for promoting day from historic sales data.
It is also possible to lack the sales volume on certain dates in historic sales data, needs to mend the sales volume of these missing days
Entirely, to guarantee the integrality of training sample.
As an embodiment of the present invention, the sales volume of day is lacked in historic sales data described in completion, comprising:
The the first odd-numbered day sales volume and the second odd-numbered day sales volume of the missing day latter day of missing day proxima luce (prox. luc) are obtained, and
Using the average value of the first odd-numbered day sales volume and the second odd-numbered day sales volume as the sales volume of the missing day.
For example, if missing day is May 4, using the average value of the sales volume on May 3 and the sales volume on May 5 as 5
The sales volume on the moon 4.If certain day is May 4 and May 5, by the flat of the sales volume on May 3 and the sales volume on May 6
Sales volume of the mean value as May 4, then using the average value of the sales volume on May 4 and the sales volume on May 6 as May 5
Sales volume.
Fig. 6 is the structural schematic diagram one of the determining device provided in an embodiment of the present invention for alloting warehouse, as shown in fig. 6, this
The determining device 600 for alloting warehouse of inventive embodiments includes:
Prediction module 601, for obtaining each supply of material warehouse in the historic sales data of first time period, and according to each supply of material
The sales trend prediction model in warehouse and the historic sales data of the first time period determine each supply of material warehouse in the second time
First prediction sales volume of section；
Module 602 is obtained, allots expense between each supply of material warehouse and warehouse out of stock for obtaining；
Determining module 603, for according to it is described first prediction sales volume and it is described allot expense, determine in each supply of material warehouse
Warehouse is alloted with what the warehouse out of stock was alloted；
Sending module 604, for the identification information for alloting warehouse to be sent to the person's of alloting terminal device.
In a kind of possible implementation, determining module 603, specifically for obtaining the quantity in stock in each supply of material warehouse, and
The amount out of stock in the shortage of goods warehouse；
Determine that quantity in stock is greater than the described first target bin for predicting the sum of sales volume and the amount out of stock in each supply of material warehouse
Library；
It determines that the warehouse for alloting network minimal in the target warehouse is used as and allots warehouse.
In a kind of possible implementation, the amount out of stock in the warehouse out of stock is obtained, comprising:
Historic sales data of the warehouse out of stock in the third period is obtained, and is become according to the sale in the warehouse out of stock
The historic sales data of gesture prediction model and the third period determines that the warehouse out of stock is second pre- in the 4th period
Survey sales volume；
Obtain the current quantity in stock in the warehouse out of stock；
The amount out of stock in the warehouse out of stock is determined according to the second prediction sales volume and the current quantity in stock.
In a kind of possible implementation, if determining module 603 be also used to the quantity for alloting warehouse be it is multiple, obtain
It takes and respectively allots alloting the time between warehouse and the warehouse out of stock, and determination allots time shortest warehouse as final tune
Dial warehouse.
Fig. 7 is the structural schematic diagram two of the determining device provided in an embodiment of the present invention for alloting warehouse, implementation shown in Fig. 6
On the basis of example, the device of the present embodiment, further includes:
Modeling module 605, for establishing initial sales trend prediction model；
Obtain the historic sales data in each supply of material warehouse；
The initial sales trend prediction model is trained according to the historic sales data in each supply of material warehouse, is obtained
The sales trend prediction model in each supply of material warehouse, wherein the historic sales data include festivals or holidays historic sales data and
The historic sales data of non-festivals or holidays.
In a kind of possible implementation, the historic sales data according to each supply of material warehouse is to the initial sale
Before trend prediction model is trained, further includes:
The sales data for promoting day in the historic sales data is removed, and lacks day in historic sales data described in completion
Sales volume.
In a kind of possible implementation, the sales volume of day is lacked in historic sales data described in the completion, comprising:
The the first odd-numbered day sales volume and the second odd-numbered day sales volume of the missing day latter day of missing day proxima luce (prox. luc) are obtained, and
Using the average value of the first odd-numbered day sales volume and the second odd-numbered day sales volume as the sales volume of the missing day.
The device of the present embodiment can be used for executing embodiment of the method as shown in Figures 2 to 5, realization principle and technology
Effect is similar, and details are not described herein again.
Fig. 8 is the hardware structural diagram provided in an embodiment of the present invention for alloting warehouse locking equipment really.As shown in figure 8,
It is provided in this embodiment to allot warehouse locking equipment 800 includes: at least one processor 801 and memory 802 really.This allots storehouse
Really locking equipment 800 further includes communication component 803 in library.Wherein, processor 801, memory 802 and communication component 803 pass through
Bus 804 connects.
During specific implementation, at least one processor 801 executes the computer execution that the memory 802 stores and refers to
It enables, so that at least one processor 801 executes the determination method for alloting warehouse in any of the above-described embodiment of the method.Communication component
803 with terminal device and/or server for being communicated.
The specific implementation process of processor 801 can be found in above method embodiment, and it is similar that the realization principle and technical effect are similar,
Details are not described herein again for the present embodiment.
In above-mentioned embodiment shown in Fig. 8, it should be appreciated that processor can be central processing unit (English:
Central Processing Unit, referred to as: CPU), can also be other general processors, digital signal processor (English:
Digital Signal Processor, referred to as: DSP), specific integrated circuit (English: Application Specific
Integrated Circuit, referred to as: ASIC) etc..General processor can be microprocessor or the processor is also possible to
Any conventional processor etc..Hardware processor can be embodied directly in conjunction with the step of invention disclosed method to have executed
At, or in processor hardware and software module combination execute completion.
Memory may include high speed RAM memory, it is also possible to and it further include non-volatile memories NVM, for example, at least one
Magnetic disk storage.
Bus can be industry standard architecture (Industry Standard Architecture, ISA) bus, outer
Portion's apparatus interconnection (Peripheral Component, PCI) bus or extended industry-standard architecture (Extended
Industry Standard Architecture, EISA) bus etc..Bus can be divided into address bus, data/address bus, control
Bus etc..For convenient for indicating, the bus in illustrations does not limit only a bus or a type of bus.
The embodiment of the present invention also provides a kind of computer readable storage medium, stores in the computer readable storage medium
There are computer executed instructions, when processor executes the computer executed instructions, realizes in any of the above-described embodiment of the method
Allot the determination method in warehouse.
Above-mentioned computer readable storage medium, can be by any kind of volatibility or non-volatile memory device or
Person's their combination is realized, such as static random access memory (SRAM), electrically erasable programmable read-only memory (EEPROM),
Erasable Programmable Read Only Memory EPROM (EPROM), programmable read only memory (PROM), read-only memory (ROM), magnetic storage
Device, flash memory, disk or CD.It is any available to can be that general or specialized computer can access for readable storage medium storing program for executing
Medium.
A kind of illustrative readable storage medium storing program for executing is coupled to processor, to enable a processor to from the readable storage medium storing program for executing
Information is read, and information can be written to the readable storage medium storing program for executing.Certainly, readable storage medium storing program for executing is also possible to the composition portion of processor
Point.Processor and readable storage medium storing program for executing can be located at specific integrated circuit (Application Specific Integrated
Circuits, referred to as: ASIC) in.Certainly, processor and readable storage medium storing program for executing can also be used as discrete assembly and be present in equipment
In.
Those of ordinary skill in the art will appreciate that: realize that all or part of the steps of above-mentioned each method embodiment can lead to
The relevant hardware of program instruction is crossed to complete.Program above-mentioned can be stored in a computer readable storage medium.The journey
When being executed, execution includes the steps that above-mentioned each method embodiment to sequence；And storage medium above-mentioned include: ROM, RAM, magnetic disk or
The various media that can store program code such as person's CD.
Finally, it should be noted that the above embodiments are only used to illustrate the technical solution of the present invention., rather than its limitations；To the greatest extent
Pipe present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that: its according to
So be possible to modify the technical solutions described in the foregoing embodiments, or to some or all of the technical features into
Row equivalent replacement；And these are modified or replaceed, various embodiments of the present invention technology that it does not separate the essence of the corresponding technical solution
The range of scheme.
Claims (10)
1. a kind of determination method for alloting warehouse characterized by comprising
Each supply of material warehouse is obtained in the historic sales data of first time period, and mould is predicted according to the sales trend in each supply of material warehouse
The historic sales data of type and the first time period determines that sales volume is predicted the first of second time period in each supply of material warehouse；
It obtains and allots expense between each supply of material warehouse and warehouse out of stock；
According to it is described first prediction sales volume and it is described allot expense, determine in each supply of material warehouse with it is described shortage of goods warehouse adjusted
That dials allots warehouse；
The identification information for alloting warehouse is sent to the person's of alloting terminal device.
2. according to the first prediction sales volume and described being alloted the method according to claim 1, wherein described
Expense determines in each supply of material warehouse and allots warehouse with what the warehouse out of stock was alloted, comprising:
Obtain the quantity in stock in each supply of material warehouse and the amount out of stock in the warehouse out of stock；
Determine that quantity in stock is greater than the described first target warehouse for predicting the sum of sales volume and the amount out of stock in each supply of material warehouse；
It determines that the warehouse for alloting network minimal in the target warehouse is used as and allots warehouse.
3. according to the method described in claim 2, it is characterized in that, obtaining the amount out of stock in the warehouse out of stock, comprising:
Historic sales data of the warehouse out of stock in the third period is obtained, and pre- according to the sales trend in the warehouse out of stock
The historic sales data for surveying model and the third period determines the warehouse out of stock in the second prediction pin of the 4th period
The amount of selling；
Obtain the current quantity in stock in the warehouse out of stock；
The amount out of stock in the warehouse out of stock is determined according to the second prediction sales volume and the current quantity in stock.
4. the method according to claim 1, wherein further include:
If the quantity for alloting warehouse be it is multiple, obtain respectively to allot and allot the time between warehouse and the warehouse out of stock,
And determine that alloting time shortest warehouse as final allots warehouse.
5. method according to any one of claims 1 to 4, which is characterized in that further include:
Establish initial sales trend prediction model；
Obtain the historic sales data in each supply of material warehouse；
The initial sales trend prediction model is trained according to the historic sales data in each supply of material warehouse, obtains each confession
The sales trend prediction model in freight house library, wherein the historic sales data includes the historic sales data and Fei Jie of festivals or holidays
The historic sales data of holiday.
6. according to the method described in claim 5, it is characterized in that, the historic sales data according to each supply of material warehouse is to institute
It states before initial sales trend prediction model is trained, further includes:
The sales data for promoting day in the historic sales data is removed, and lacks the pin of day in historic sales data described in completion
The amount of selling.
7. according to the method described in claim 6, it is characterized in that, lacking the pin of day in historic sales data described in the completion
The amount of selling, comprising:
The the first odd-numbered day sales volume and the second odd-numbered day sales volume of the missing day latter day of missing day proxima luce (prox. luc) are obtained, and by institute
State sales volume of the average value of the first odd-numbered day sales volume and the second odd-numbered day sales volume as the missing day.
8. a kind of determining device for alloting warehouse characterized by comprising
Prediction module, for obtaining each supply of material warehouse in the historic sales data of first time period, and according to each supply of material warehouse
The historic sales data of sales trend prediction model and the first time period determines each supply of material warehouse the of second time period
One prediction sales volume；
Module is obtained, allots expense between each supply of material warehouse and warehouse out of stock for obtaining；
Determining module, for according to it is described first prediction sales volume and it is described allot expense, determine in each supply of material warehouse with it is described
What warehouse out of stock was alloted allots warehouse；
Sending module, for the identification information for alloting warehouse to be sent to the person's of alloting terminal device.
9. one kind allots warehouse locking equipment really characterized by comprising at least one processor and memory；
The memory stores computer executed instructions；
At least one described processor executes the computer executed instructions of the memory storage, so that at least one described processing
Device executes the determination method as described in any one of claim 1 to 7 for alloting warehouse.
10. a kind of computer readable storage medium, which is characterized in that be stored with computer in the computer readable storage medium
It executes instruction, when processor executes the computer executed instructions, realizes as described in any one of claim 1 to 7 allot
The determination method in warehouse.
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| CN201910264124.3A CN110046755A (en) | 2019-04-03 | 2019-04-03 | Allot the determination method and apparatus in warehouse |
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| CN111582788A (en) * | 2020-04-29 | 2020-08-25 | 北京小米松果电子有限公司 | Article scheduling method and device and computer readable storage medium |
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| CN114219376A (en) * | 2022-02-22 | 2022-03-22 | 哈尔滨工业大学（威海） | Household appliance large-scale customized service resource scheduling method based on knowledge graph |
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