CN111824667B

CN111824667B - Method and device for storing goods

Info

Publication number: CN111824667B
Application number: CN201910319130.4A
Authority: CN
Inventors: 肖鹏宇
Original assignee: Beijing Jingdong Qianshi Technology Co Ltd
Current assignee: Beijing Jingdong Qianshi Technology Co Ltd
Priority date: 2019-04-19
Filing date: 2019-04-19
Publication date: 2023-05-02
Anticipated expiration: 2039-04-19
Also published as: CN111824667A

Abstract

The invention discloses a method and a device for storing goods, and relates to the technical field of warehouse logistics. One embodiment of the method comprises the following steps: monitoring a difference between a target number of bins storing the good and a current number; if the difference value is greater than or equal to a preset value, splitting the goods stored in the material box according to a preset mode to obtain at least one piece of goods; for each piece of goods, the piece of goods is stored using a bin of the smallest bin type that is capable of storing the piece of goods. According to the embodiment, the current number of the bins for storing goods is guaranteed to meet the delivery demand, and the delivery efficiency is improved.

Description

Method and device for storing goods

Technical Field

The invention relates to the technical field of warehouse logistics, in particular to a method and a device for storing goods.

Background

In the prior art, the box type of a warehouse-in workbin is determined through warehouse entry, all goods needing to be warehoused are stored in the warehouse-in workbin with the box type, and the warehouse-in workbin storing the goods is transported to a goods shelf of a warehouse. As the goods are delivered, the current number of bins storing the goods is continually decreasing.

In the process of implementing the present invention, the inventor finds that at least the following problems exist in the prior art:

The current quantity is adjusted only through warehousing, and the frequency of warehousing is not high, so that the current quantity of the bins for storing goods cannot meet the ex-warehouse requirement, and the problem of low ex-warehouse efficiency is caused.

Disclosure of Invention

In view of the above, the embodiments of the present invention provide a method and an apparatus for storing goods, which can solve the problem of low delivery efficiency caused by the fact that the current number of bins for storing goods cannot meet delivery requirements.

To achieve the above object, according to one aspect of an embodiment of the present invention, there is provided a method of storing goods.

The method for storing goods provided by the embodiment of the invention comprises the following steps:

monitoring a difference between a target number of bins storing the good and a current number;

if the difference value is greater than or equal to a preset value, splitting the goods stored in the material box according to a preset mode to obtain at least one piece of goods;

for each piece of goods, the piece of goods is stored using a bin of the smallest bin type that is capable of storing the piece of goods.

In one embodiment, splitting the goods stored in the bin in a preset manner includes:

if the storage quantity of the cargos in the material box is greater than or equal to twice the first quantity, splitting the cargos stored in the material box according to the first quantity;

Wherein the number of goods per serving is greater than or equal to the first number and less than twice the first number; the first quantity is calculated according to the quantity of the ex-warehouse workstations, the maximum order concurrence quantity of the goods and the upper limit quantity of the goods for replenishment;

and if the storage quantity of the cargos in the bin is larger than the first quantity and smaller than twice the first quantity, splitting the cargos stored in the bin according to half of the storage quantity of the cargos in the bin.

In one embodiment, the first number of calculations includes:

selecting the quantity with the smallest numerical value from the quantity of the ex-warehouse work stations and the maximum order concurrency quantity of the goods as a second quantity;

selecting the quantity with the largest numerical value from the second quantity and the preset minimum quantity as a third quantity;

upwardly rounding the product of the third quantity and a preset proportion to obtain the target quantity;

determining the box type of a warehouse-in material box according to the quotient of the upper limit quantity of the supplementary cargos and the target quantity;

the quotient is taken as a first quantity, or the maximum storage quantity of the goods in the storage unit of the warehouse-in bin is taken as the first quantity.

In one embodiment, prior to monitoring the difference between the target number and the current number of bins storing cargo, the method includes:

subtracting the current quantity from the target quantity, and multiplying the obtained difference by the first quantity to obtain a fourth quantity;

if the fourth quantity is smaller than the warehouse-in quantity of the cargoes, the warehouse-in bins are adopted to store the cargoes, and the sum of the storage quantity of the cargoes in each warehouse-in bin is equal to the fourth quantity;

and storing the residual cargos by adopting a standby bin, wherein the storage unit of the standby bin is larger than that of the warehouse-in bin.

To achieve the above object, according to another aspect of an embodiment of the present invention, there is provided an apparatus for storing goods.

The device for storing goods in the embodiment of the invention comprises:

a splitting unit for monitoring a difference between a target number of bins storing goods and a current number; if the difference value is greater than or equal to a preset value, splitting the goods stored in the material box according to a preset mode to obtain at least one piece of goods;

and the processing unit is used for storing each part of goods by adopting a bin with the smallest box type capable of storing the part of goods.

In one embodiment, the splitting unit is configured to:

In one embodiment, the apparatus for storing goods according to the embodiment of the present invention further includes a preprocessing unit for:

subtracting the current quantity from the target quantity before monitoring the difference between the current quantity and the target quantity of the material boxes storing the goods, and multiplying the obtained difference with the first quantity to obtain a fourth quantity;

To achieve the above object, according to still another aspect of an embodiment of the present invention, there is provided an electronic apparatus.

An electronic device according to an embodiment of the present invention includes: one or more processors; and the storage device is used for storing one or more programs, and when the one or more programs are executed by the one or more processors, the one or more processors are enabled to realize the method for storing goods provided by the embodiment of the invention.

To achieve the above object, according to still another aspect of an embodiment of the present invention, a computer-readable medium is provided.

A computer readable medium of an embodiment of the present invention stores a computer program thereon, which when executed by a processor implements a method for storing goods provided by the embodiment of the present invention.

One embodiment of the above invention has the following advantages or benefits: by monitoring the difference between the target number of bins storing the cargo and the current number; if the difference value is greater than or equal to a preset value, splitting the goods stored in the material box according to a preset mode to obtain at least one part of goods; for each piece of goods, the piece of goods is stored using a bin of the smallest bin type that is capable of storing the piece of goods. Therefore, the current quantity of the bins for storing cargoes is guaranteed to meet the delivery demand, the probability that delivery workstations wait for the bins for a long time is reduced, and delivery efficiency is improved.

Further effects of the above-described non-conventional alternatives are described below in connection with the embodiments.

Drawings

The drawings are included to provide a better understanding of the invention and are not to be construed as unduly limiting the invention. Wherein:

FIG. 1 is a schematic view of a prior art automated warehouse;

FIG. 2 is a schematic diagram of the main flow of a method of storing cargo according to an embodiment of the invention;

FIG. 3 is a flow chart of calculating a first quantity in a method of storing goods according to an embodiment of the present invention;

FIG. 4 is a schematic diagram of the main flow of a method of storing cargo according to another embodiment of the invention;

fig. 5 is a schematic view of the main units of an apparatus for storing goods according to an embodiment of the present invention;

FIG. 6 is an exemplary system architecture diagram in which embodiments of the present invention may be applied;

fig. 7 is a schematic diagram of a computer system suitable for use in implementing an embodiment of the invention.

Detailed Description

Exemplary embodiments of the present invention will now be described with reference to the accompanying drawings, in which various details of the embodiments of the present invention are included to facilitate understanding, and are to be considered merely exemplary. Accordingly, those of ordinary skill in the art will recognize that various changes and modifications of the embodiments described herein can be made without departing from the scope and spirit of the invention. Also, descriptions of well-known functions and constructions are omitted in the following description for clarity and conciseness.

It is noted that embodiments of the invention and features of the embodiments may be combined with each other without conflict.

With the high-speed development of the fields of electronic commerce and the like in the modern society, the requirements on distribution are higher and higher, and therefore, the requirements on the warehouse-out efficiency and the warehouse-in efficiency of an automatic warehouse are higher and higher. In an automated warehouse, as shown in fig. 1, there are multiple shelves where each bin of each tier may store a bin. There is a tunnel between the shelves, there is a handling device 4 (such as a handling robot, which may be a shuttle, stacker or AGV (Automated Guided Vehicle, automatic guided vehicle)), the handling robot carries the bin 5 to be discharged from the storage place of the storage layer to the discharge buffer place of the layer, the bin elevator 3 carries the bin to be discharged on the discharge buffer place of the layer onto the conveying line 2, the conveying line conveys the bin to be discharged to the workstation 1, and the worker or the picking robot of the workstation picks the goods to be discharged from the bin to be discharged, thereby completing the delivery of the goods. In the warehouse entry mode, after goods to be warehoused are stored in empty bins, the goods are generally transported to corresponding storage positions through a conveying line, a bin elevator and a transport robot.

If the shelves are double-depth shelves (double-depth shelves are of a type in which the shelves are designed to be stored in parallel in double rows), when the bins are stored, the bins are stored on the inner shelves (the inner shelves are the shelves far away from the roadway) and then the bins are stored on the outer shelves (the outer shelves are the shelves close to the roadway); when the material box is taken out, the material box stored on the outer side shelf is taken out first, and then the material box stored on the inner side shelf is taken out.

In addition, the bin in the warehouse can be a 1/1 type bin (bin for storing one kind of goods), a 1/2 type bin (bin for storing two kinds of goods, one partition board in the middle of the bin), a 1/4 type bin (bin for storing four kinds of goods, three partition boards in the middle of the bin) and the like.

In the prior art, the box type of the storage box is determined through storage, the storage box of the box type is used for storing all goods to be stored, and only a storage unit of the storage box can store the goods (for example, a 1/4 type box is the storage box, and only one quarter of the space of the 1/4 type box can store the goods). And determining the bin type of the warehouse entry bin comprises: setting target quantity according to the mass sales degree of the goods, taking the quotient of the upper limit quantity of the replenishment goods of the goods and the target quantity as a first quantity, and determining the box type of the warehouse-in material box according to the first quantity; or manually designating the 1/1 type bin as the bin type of the warehouse-in bin.

The prior art has the following problems:

first, the current number of bins storing goods is adjusted only by warehousing, and because the warehousing frequency is not high, there is a problem of low warehousing efficiency caused by the fact that the current number of bins storing goods cannot meet the ex-warehouse requirement. For example, when a type 1/1 bin is used to store a type of cargo at the previous time of warehousing, the current number of bins storing the cargo meets the shipment requirements. As the goods are delivered, the current number of bins storing the goods is continuously reduced, and a situation occurs in which the current number of bins storing the goods cannot meet delivery requirements. Because no such goods are put into the warehouse, the current number of the bins for storing the goods cannot meet the warehouse-out requirement, the warehouse-out efficiency is lower, and even the problem that the warehouse-out working station waits for the bins for a long time often exists.

Secondly, all goods needing to be put into storage are stored by adopting a box-shaped material box, so that the efficiency of putting into storage and the efficiency of taking out of storage are difficult to be considered. For example, a 1/1 type bin is selected, the number of cargoes stored in one 1/1 type bin is large, the one-time warehouse-in quantity is large, and the warehouse-in efficiency is high; however, the number of the bins for storing the goods is small, when the number of the bins to be delivered is large, the problem of low delivery efficiency is easily caused, even the bins which are not positioned can cause more serious delivery problems, and the bins can be delivered only for picking one type of goods at a time. The 1/4 type material boxes are selected completely, the number of the cargoes stored in one 1/4 type material box is small, the one-time warehousing quantity is small, and the warehousing efficiency is low; but the quantity of the bins for storing the goods is large, when the bins needing to be delivered are large, the delivery requirements can be met, the delivery efficiency is high, and the bins can be delivered once to pick out various goods.

Thirdly, how to set the target quantity according to the goods mass sales degree is a problem, the set target quantity is too large, and the warehouse-in efficiency is low; the target quantity is set to be too small, and the ex-warehouse efficiency is low. In addition, since the number of times of delivery of the bins storing different kinds of goods is different, the number of bins storing different kinds of goods should be set to be different, that is, the target number of different kinds of goods should be different. However, in the prior art, the mass-market or mass-market limitation is not clear, the target number of mass-market different goods is the same, and the target number of mass-market different goods is the same. In the prior art, the accuracy of the target quantity is not high, and the warehousing efficiency and the ex-warehouse efficiency are affected.

Fourth, all the goods to be put in storage are stored by adopting the same box type material boxes, if the put-in quantity is large, the quantity of the put-in material boxes can be increased suddenly, and the put-in efficiency is low.

In order to solve the problems in the prior art, an embodiment of the present invention provides a method for storing goods, as shown in fig. 2, the method includes:

step S201, monitoring the difference between the target number and the current number of bins storing the goods.

In this step, in particular, in order to achieve the effect of the embodiment of the present invention, the difference between the target number and the current number of bins storing the goods may be monitored, or the ratio between the target number and the current number of bins storing the goods may be monitored, and the ratio between the target number and the current number may be simply deformed, that is, the difference between the target number and the current number.

In addition, the target number refers to the ideal number of bins for storing the goods in case of meeting the delivery demand; the current number refers to the actual number of bins in the warehouse storing the goods. The target number is obtained through calculation, and the specific calculation mode can refer to the embodiment shown in fig. 3; the current quantity may be obtained from an inventory of the warehouse management system.

It should be appreciated that if the current number is greater than or equal to the target number, then the current number of bins storing the goods meets the shipment requirements without the need to split the goods stored in the bins.

And step S202, if the difference value is greater than or equal to a preset value, splitting the goods stored in the material box according to a preset mode to obtain at least one piece of goods.

In this step, it is understood that the preset value is a positive integer greater than 0 and less than the target number. And, the closer the preset value is to 0, the larger the work load to be split. The preset value may be set manually.

In addition, if it is the ratio of the target number of bins storing the goods to the current number that is monitored in step S201, then step S202 should be: if the ratio is greater than or equal to the first ratio, splitting the goods stored in the material box according to a preset mode to obtain at least one part of goods. It should be appreciated that the first ratio is greater than 1. And, the closer the first ratio is to 1, the greater the amount of work that needs to be split. The first ratio may be set manually.

Moreover, the identifiers of the goods (the identifiers may be names, production places or manufacturers of the goods) with the difference between the target quantity and the current quantity being greater than or equal to a preset value can be stored in a splitting list, the identifiers of the goods are arranged in the splitting list according to the order of the difference from large to small (the arrangement mode can realize the first splitting of the goods to be split to ensure the delivery efficiency), or the identifiers of the goods are arranged according to the order of the daily average sales quantity of the goods from large to small (the arrangement mode can realize the first splitting of the goods with high sales degree to ensure the delivery efficiency), or the identifiers are arranged according to the difference value and then the daily average sales quantity. And sequentially splitting various cargoes according to the arrangement sequence in the splitting list. It should be noted that, the arrangement mode and the splitting mode of the identifiers of the goods in the splitting list are not limited to the modes pointed out by the present invention.

It should be noted that the splitting manner may be performed according to the first number, or may be performed according to half of the storage number of the goods in the bin, or may not be performed.

Step S203, for each piece of goods, storing the piece of goods by using a bin of a smallest box type capable of storing the piece of goods.

In the step, when the method is implemented, if a plurality of goods to be split exist and the boxes of the boxes for storing the various split goods are the same, at least two goods can be assembled into one box according to a mass-market similarity principle. It should be understood that the principle of similarity of the sales promotion can be adopted for assembling various split cargoes, and a random mode or a relevance mode can also be adopted.

In addition, to split and assemble, can design independent workstation and accomplish, the workstation divides two-layer, and the material case is got in upper strata placing, and the material case is placed to the lower floor. Calculating which goods are taken from which bin (the bin is a material taking bin) and are assembled into which bin (the bin is a material loading bin) by a warehouse management system to form instructions; issuing an instruction to a workstation, and conveying a material taking box to an upper layer according to the instruction, and conveying a material loading box to a lower layer; after the operator of the workstation browses the instruction, taking out the goods from the goods taking box placed on the upper layer according to the instruction, and assembling the goods into the goods taking box placed on the lower layer; the pick-up bin and the load bin are returned to the shelves of the warehouse, respectively.

In this embodiment, by monitoring the difference between the target number of bins storing the cargo and the current number; if the difference value is greater than or equal to a preset value, splitting the goods stored in the material box according to a preset mode to obtain at least one part of goods; for each piece of goods, the piece of goods is stored using a bin of the smallest bin type that is capable of storing the piece of goods. Therefore, the current quantity of the bins for storing cargoes is guaranteed to meet the delivery demand, the probability that delivery workstations wait for the bins for a long time is reduced, and delivery efficiency is improved.

In an embodiment of the present invention, splitting the goods stored in the bin according to a preset manner includes:

in this step, the step is described as a specific example: the first quantity is 10, the storage quantity of goods in the workbin is 25, and 25 goods are split into 10 goods and 15 goods. In addition, the amount of storage of the goods in the bin may be obtained from an inventory of the warehouse management system.

It will be appreciated that the goods stored in the bin are not split if the stored number of goods in the bin is less than or equal to the first number. It should be noted that, if the difference is greater than or equal to the preset value, for each bin storing the goods, the method according to this embodiment determines whether to split the goods stored in the bin and how to split the goods.

In this embodiment, the goods stored in the bin are split by a first amount if the stored amount of the goods in the bin is greater than or equal to twice the first amount; if the number of stored goods in the bin is greater than the first number and less than twice the first number, splitting the goods stored in the bin according to half the number of stored goods in the bin. Therefore, when the number of cargoes in the material box is particularly large, the number of disassembled parts is also particularly large, and the delivery efficiency is ensured; splitting is carried out according to the first quantity, and when the quantity of cargoes in the material box is more, the number of the split parts is more, the delivery efficiency is ensured, and the space utilization rate of the material box is improved.

In the embodiment of the present invention, as shown in fig. 3, the first number of calculation modes includes:

and step S301, selecting the quantity with the smallest numerical value from the quantity of the ex-warehouse workstations and the maximum order concurrency quantity of the goods as a second quantity.

In this step, the maximum order concurrency of goods is described below with a specific example: in the day, the order quantity from 8 points to 8 points is 20, the order quantity from 8 points to 9 points is 30,9 and the order quantity from 9 points to 40. The maximum order concurrency for goods is 40. In this example, the statistical time length is 30 minutes, and it is understood that the time length may also be set to 40 minutes, 50 minutes, 120 minutes, or the like. It should be noted that the sum of the order amounts in the time period may represent the order concurrency amount.

For new goods, the second quantity may be calculated as follows: dividing the estimated daily average order quantity by the quantity of the time length in the day, comparing the obtained quotient with the quantity of the ex-warehouse workstations, and selecting the quantity with the smallest value as the second quantity. The number of time periods in a day is calculated as follows: the time of day of the warehouse is divided by the time length, and the quotient is obtained as the number of the time length in the day. The working time of a warehouse in one day is consistent with the unit of time length. Since the forecast of the order quantity is generally in days, for new goods, the second quantity needs to be calculated in the above-mentioned manner.

In addition, the second quantity is not necessarily calculated by selecting the smallest quantity as the second quantity from the number of ex-warehouse workstations and the maximum order concurrency quantity of the goods. Another way of calculating the second number is described below in a specific example:

the order amount on the first day is 1, the order amount on the second day is 2, and so on, the order amount on the nineteenth and nineteenth days is 99, and all the order amounts are arranged in order from small to large. And calculating the order quantity meeting 99% by adopting a TP99 algorithm: 99 (99 is the number of days counted) ×99% (99% is the index number of the TP99 algorithm) =98.01, and the order quantity placed at the 98 th position (the order quantity placed at the 98 th position is the order quantity on the 98 th day) is selected as the order quantity satisfying 99% (the order quantity satisfying 99% is 98). The minimum number is selected as the second number by comparing 98 to the number of outbound workstations. It should be appreciated that the calculation of the second number may also employ a TP50 algorithm or a TP999 algorithm, etc.

Step S302, selecting the maximum value from the second number and the preset minimum number as the third number.

In this step, the minimum number refers to the minimum number of bins storing the goods when embodied. The minimum number of each cargo may be the same or different. The minimum quantity can be set manually, and the setting basis can be the warehouse-in efficiency, the smooth sales degree and the like of the goods.

Step S303, upwardly rounding the product of the third quantity and a preset proportion to obtain the target quantity.

In the step, when the method is specifically implemented, the preset proportion can be manually configured, and the preset proportion can be dynamically adjusted according to the warehousing efficiency, the free sales degree and the like of the goods. The process of obtaining the target number is described below with a specific example: the preset ratio is 1.5, the third quantity is 5, and the target quantity is

And step S304, determining the box type of the warehouse-in material box according to the quotient of the upper limit quantity of the replenishment of the goods and the target quantity.

In this step, in implementation, the calculation method of the upper limit quantity of the replenishment of the cargo may include: the product of the daily sales volume of the goods and the upper limit number of restocking days (the upper limit number of restocking days can be preset) is taken as the upper limit number of restocking of the goods. The average daily sales of the goods can be calculated by the number of goods sold in a period of time (for example, the number of goods sold from seven days ago to the current time), and is specifically as follows: the daily sales of the goods are 20 (20= (10+20+30)/3) when the number of goods sold per day from three days ago to the current time is 10, 20, and 30 in this order. The daily average sales of the good can also be calculated as follows: the number of goods sold on the first day is 10, the number of goods sold on the second day is 20, and the number of goods sold on the third day is 30. Because the daily distance from the current time is different, the quantity of the goods sold in the day close to the current time can reflect the real situation, different weights are set for the quantity of the goods sold in different days (the weight setting mode can be equal quantity increase according to the days or unequal quantity increase), and the prediction accuracy of the upper limit quantity of the supplementary goods can be improved. The weight on the first day was set to 1, the weight on the second day was set to 2, and the weight on the third day was set to 3. The daily average sales of this cargo was 23.33 (23.33= ((10 x 1+20 x 2+30 x 3)/(1+2+3))). In addition, for the average sales of new goods, the average sales of similar old goods can be referred to for calculation.

The following describes, as a specific example, the box type of the bin to be put in storage according to the quotient:

assuming that the storage unit of the 5,1/1 type bin can store 5 cargos, the storage unit of the 1/2 type bin can also store 5 cargos, and the storage unit of the 1/4 type bin cannot store 5 cargos, determining that the bin type of the warehouse bin is 1/2 type. Assuming that 5 goods can be stored in storage units of 5,1/1 type bin, 1/2 type bin and 1/4 type bin, the storage units of 1/1 type bin, 1/2 type bin and 1/4 type bin become smaller gradually, and the bin type of the bin only comprises: the storage unit of the 1/1 type, the 1/2 type and the 1/4 type storage box still has an empty space after 5 cargoes are stored, and the box type of the storage box is determined to be 1/4 type. That is, the bin type of the bin in which the storage unit can store the commercial goods and the storage unit is the smallest is taken as the bin type of the warehouse-in bin.

It should be appreciated that there may be a size that may result in the cargo being stored only in a particular bin type.

Step S305, using the quotient as the first quantity, or using the maximum storage quantity of the goods in the storage unit of the warehouse-in bin as the first quantity.

In this step, the maximum storage quantity of the goods in the storage unit of the warehouse-in bin is greater than or equal to the quotient. The maximum storage amount of goods in the storage unit of the warehouse-in bin is described below with a specific example: the warehouse-in workbin is a 1/4 type workbin, and the quantity of the cargoes filled with one quarter of the space of the 1/4 type workbin is the maximum storage quantity of the cargoes in a storage unit of the warehouse-in workbin. The goods are stored according to the maximum storage quantity of the goods in the storage units of the warehouse-in bins, and the utilization rate of the bins is higher than that of the goods stored according to the quotient. It should be noted that the storage unit of the 1/1 type bin is a bin, the storage unit of the 1/2 type bin is a half space of a bin, and the storage unit of the 1/4 type bin is a quarter space of a bin.

It should be appreciated that the first number of calculation occasions may be when there is a good to be put in storage or may be periodic.

In this embodiment, since the bins must pass through the outbound work station to be able to deliver the goods, the maximum value of the number of bins handled by the outbound work station is the number of outbound work stations, and if the number of outbound work stations is too large, the number of bins handled by the outbound work station is closest to the maximum order concurrency of the goods. While the number of bins processed by the out-of-stock workstation characterizes the number of bins (i.e., the target number) that should be set to store the good. Therefore, the minimum quantity of the numerical values is selected as the second quantity from the quantity of the ex-warehouse workstations and the maximum order concurrency quantity of the goods, so that the calculation accuracy of the target quantity is improved, and the influence of inaccurate calculation of the target quantity on the warehousing efficiency and the ex-warehouse efficiency is reduced. Through the preset minimum quantity, the condition that at least two ex-warehouse workstations process the same bin is reduced, and the ex-warehouse efficiency is improved. Through the preset proportion, the flexibility of adjusting the target quantity is improved. The maximum storage quantity of the goods in the storage units of the warehouse-in workbin is used as the first quantity, so that the space utilization rate of the workbin is improved.

In order to solve the problems of the prior art, another embodiment of the present invention provides a method of storing goods. This embodiment, on the basis of the embodiment shown in fig. 3, as shown in fig. 4, includes, before step S201:

step S401, subtracting the current number from the target number, and multiplying the obtained difference by the first number to obtain a fourth number.

In this step, it is understood that the target number is greater than the current number, and step S401 is performed. If the target number is smaller than or equal to the current number, the current number of the bins for storing the goods meets the delivery demand, the problem of low delivery efficiency caused by the current number of the bins for storing the goods does not exist, the goods can be stored by adopting the standby bins, the sum of the storage numbers of the goods in each standby bin is equal to the storage quantity, and the storage units of the standby bins are larger than the storage units of the storage bins. Thus, the warehousing efficiency is improved.

And step S402, if the fourth quantity is smaller than the warehouse-in quantity of the cargoes, storing the cargoes by adopting the warehouse-in bins, wherein the sum of the storage quantity of the cargoes in each warehouse-in bin is equal to the fourth quantity.

In the implementation process, if the box type of the warehouse-in box is 1/2 type, only one half of the space of the warehouse-in box can store the goods. The number of the cargos stored in one storage bin can be the quotient of the upper limit quantity of the cargos to the target number, and can also be the maximum storage number of the cargos in the storage unit of the storage bin. The number of goods stored in one warehouse-in bin may be different from the number of goods in one split-out goods.

If the fourth number is greater than the warehouse-in amount of the goods, the sum of the storage amounts of the goods in each warehouse-in bin is equal to the warehouse-in amount of the goods. This is because only the amount of the goods is put in storage. In addition, if the fourth quantity is equal to the warehouse-in quantity of the cargoes, warehouse-in bins are adopted to store the cargoes, and the sum of the storage quantity of the cargoes in each warehouse-in bin is equal to the fourth quantity, so that the remaining cargoes do not exist.

And step S403, storing the residual cargos by adopting a standby bin, wherein the storage unit of the standby bin is larger than that of the warehouse-in bin.

In this step, the following describes the step with a specific example: the number of the residual cargoes is 100, the number of the 1/1 type bin capable of storing cargoes is 8, the number of the 1/2 type bin capable of storing cargoes is 4, the number of the 1/4 type bin capable of storing cargoes is 2, 12 1/1 type bins can be used for storing 96 cargoes, and the remaining 4 cargoes can be stored by one 1/2 type bin or 2 1/4 type bins. Alternatively, 13 type 1/1 bins are used to store 100 cargoes.

In addition, the warehouse-in quantity of the goods is subtracted from the fourth quantity, and the obtained difference is the quantity of the residual goods. Furthermore, the storage unit of the spare bin is not necessarily larger than the storage unit of the warehouse-in bin, and warehouse-in efficiency can be improved only when the storage unit of the spare bin is larger than the storage unit of the warehouse-in bin.

In this embodiment, the fourth number is obtained by subtracting the current number from the target number, and multiplying the obtained difference by the first number; if the fourth quantity is smaller than the warehouse-in quantity of the cargoes, warehouse-in bins are adopted to store the cargoes, and the sum of the storage quantity of the cargoes in each warehouse-in bin is equal to the fourth quantity; thereby ensuring that the current quantity of the material boxes for storing the goods meets the delivery demand and improving the delivery efficiency. And storing the residual cargos by adopting a standby bin, wherein the storage unit of the standby bin is larger than that of the warehouse-in bin. The number of the box types of the warehouse-in material boxes is at least two, and the warehouse-in efficiency and the warehouse-out efficiency are both considered. The storage mode of the residual goods improves the warehousing efficiency.

The method of storing goods is described above in connection with fig. 2-4 and the device for storing goods is described below in connection with fig. 5.

In order to solve the problems in the prior art, an embodiment of the present invention provides a device for storing goods, as shown in fig. 5, the device includes:

A splitting unit 501 for monitoring a difference between a target number of bins storing goods and a current number; if the difference value is larger than or equal to a preset value, splitting the goods stored in the material box according to a preset mode to obtain at least one piece of goods.

The processing unit 502 is configured to store each piece of cargo using a bin of a smallest bin type capable of storing the piece of cargo.

In the embodiment of the present invention, the splitting unit 501 is configured to:

In an embodiment of the present invention, the apparatus further includes a preprocessing unit, configured to:

It should be understood that the functions performed by the components of the device for storing goods according to the embodiments of the present invention have been described in detail in the method for storing goods according to the foregoing embodiments, and will not be described herein.

Fig. 6 illustrates an exemplary system architecture 600 of a method of storing goods or an apparatus of storing goods to which embodiments of the present invention may be applied.

As shown in fig. 6, the system architecture 600 may include

terminal devices

601, 602, 603, a network 604, and a server 605. The network 604 is used as a medium to provide communication links between the

terminal devices

601, 602, 603 and the server 605. The network 604 may include various connection types, such as wired, wireless communication links, or fiber optic cables, among others.

A user may interact with the server 605 via the network 604 using the

terminal devices

601, 602, 603 to receive or send messages, etc.

The

terminal devices

601, 602, 603 may be various electronic devices having a display screen and supporting web browsing, including but not limited to smartphones, tablets, laptop and desktop computers, and the like.

The server 605 may be a server providing various services, such as a background management server (by way of example only) providing support for shopping-type websites browsed by users using

terminal devices

601, 602, 603. The background management server may analyze and process the received data such as the product information query request, and feedback the processing result (e.g., the target push information, the product information—only an example) to the terminal device.

It should be noted that, the method for storing goods provided in the embodiment of the present invention is generally executed by the server 605, and accordingly, the device for storing goods is generally disposed in the server 605.

It should be understood that the number of terminal devices, networks and servers in fig. 6 is merely illustrative. There may be any number of terminal devices, networks, and servers, as desired for implementation.

Referring now to FIG. 7, there is illustrated a schematic diagram of a computer system 700 suitable for use in implementing an embodiment of the present invention. The terminal device shown in fig. 7 is only an example, and should not impose any limitation on the functions and the scope of use of the embodiment of the present invention.

As shown in fig. 7, the computer system 700 includes a Central Processing Unit (CPU) 701, which can perform various appropriate actions and processes according to a program stored in a Read Only Memory (ROM) 702 or a program loaded from a storage section 708 into a Random Access Memory (RAM) 703. In the RAM 703, various programs and data required for the operation of the system 700 are also stored. The CPU 701, ROM 702, and RAM 703 are connected to each other through a bus 704. An input/output (I/O) interface 705 is also connected to bus 704.

The following components are connected to the I/O interface 705: an input section 706 including a keyboard, a mouse, and the like; an output portion 707 including a Cathode Ray Tube (CRT), a Liquid Crystal Display (LCD), and the like, a speaker, and the like; a storage section 708 including a hard disk or the like; and a communication section 709 including a network interface card such as a LAN card, a modem, or the like. The communication section 709 performs communication processing via a network such as the internet. The drive 710 is also connected to the I/O interface 705 as needed. A removable medium 711 such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, or the like is mounted on the drive 710 as necessary, so that a computer program read therefrom is mounted into the storage section 708 as necessary.

In particular, according to embodiments of the present disclosure, the processes described above with reference to flowcharts may be implemented as computer software programs. For example, embodiments of the present disclosure include a computer program product comprising a computer program embodied on a computer readable medium, the computer program comprising program code for performing the method shown in the flow chart. In such an embodiment, the computer program may be downloaded and installed from a network via the communication portion 709, and/or installed from the removable medium 711. The above-described functions defined in the system of the present invention are performed when the computer program is executed by a Central Processing Unit (CPU) 701.

The computer readable medium shown in the present invention may be a computer readable signal medium or a computer readable storage medium, or any combination of the two. The computer readable storage medium can be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or a combination of any of the foregoing. More specific examples of the computer-readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the context of this document, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. In the present invention, however, the computer-readable signal medium may include a data signal propagated in baseband or as part of a carrier wave, with the computer-readable program code embodied therein. Such a propagated data signal may take any of a variety of forms, including, but not limited to, electro-magnetic, optical, or any suitable combination of the foregoing. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to: wireless, wire, fiber optic cable, RF, etc., or any suitable combination of the foregoing.

The flowcharts and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, 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 unit, 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 or flowchart illustration, and combinations of blocks in the block diagrams 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.

The units involved in the embodiments of the present invention may be implemented in software or in hardware. The described units may also be provided in a processor, for example, described as: a processor includes a splitting unit and a processing unit. The names of these units do not constitute a limitation on the unit itself in some cases, and for example, the processing unit may also be described as "a unit that stores a piece of cargo using a bin of a smallest box type capable of storing the piece of cargo" for each piece of cargo.

As another aspect, the present invention also provides a computer-readable medium that may be contained in the apparatus described in the above embodiments; or may be present alone without being fitted into the device. The computer readable medium carries one or more programs which, when executed by a device, cause the device to include: monitoring a difference between a target number of bins storing the good and a current number; if the difference value is greater than or equal to a preset value, splitting the goods stored in the material box according to a preset mode to obtain at least one piece of goods; for each piece of goods, the piece of goods is stored using a bin of the smallest bin type that is capable of storing the piece of goods.

According to the technical scheme of the embodiment of the invention, the difference value between the target number and the current number of the bins for storing cargoes is monitored; if the difference value is greater than or equal to a preset value, splitting the goods stored in the material box according to a preset mode to obtain at least one part of goods; for each piece of goods, the piece of goods is stored using a bin of the smallest bin type that is capable of storing the piece of goods. Therefore, the current quantity of the bins for storing cargoes is guaranteed to meet the delivery demand, the probability that delivery workstations wait for the bins for a long time is reduced, and delivery efficiency is improved.

The above embodiments do not limit the scope of the present invention. It will be apparent to those skilled in the art that various modifications, combinations, sub-combinations and alternatives can occur depending upon design requirements and other factors. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present invention should be included in the scope of the present invention.

Claims

1. A method of storing cargo, comprising:

if the difference value is greater than or equal to a preset value, splitting the goods stored in the material box according to a preset mode to obtain at least one piece of goods; comprising the following steps: if the storage quantity of the cargos in the material box is greater than or equal to twice the first quantity, splitting the cargos stored in the material box according to the first quantity; wherein the number of goods per serving is greater than or equal to the first number and less than twice the first number; the first quantity is calculated according to the quantity of the ex-warehouse workstations, the maximum order concurrence quantity of the goods and the upper limit quantity of the goods for replenishment; splitting the goods stored in the bin according to half of the stored quantity of the goods in the bin if the stored quantity of the goods in the bin is greater than the first quantity and less than twice the first quantity;

2. The method of claim 1, wherein the first number of calculations comprises:

3. The method of claim 2, comprising, prior to monitoring the difference between the target number of bins storing the cargo and the current number:

4. An apparatus for storing goods, comprising:

a splitting unit for monitoring a difference between a target number of bins storing goods and a current number; if the difference value is greater than or equal to a preset value, splitting the goods stored in the material box according to a preset mode to obtain at least one piece of goods; comprising the following steps: if the storage quantity of the cargos in the material box is greater than or equal to twice the first quantity, splitting the cargos stored in the material box according to the first quantity; wherein the number of goods per serving is greater than or equal to the first number and less than twice the first number; the first quantity is calculated according to the quantity of the ex-warehouse workstations, the maximum order concurrence quantity of the goods and the upper limit quantity of the goods for replenishment; splitting the goods stored in the bin according to half of the stored quantity of the goods in the bin if the stored quantity of the goods in the bin is greater than the first quantity and less than twice the first quantity;

5. The apparatus of claim 4, wherein the splitting unit is configured to:

6. The apparatus of claim 5, further comprising a preprocessing unit configured to:

7. An electronic device, comprising:

one or more processors;

storage means for storing one or more programs,

when executed by the one or more processors, causes the one or more processors to implement the method of any of claims 1-3.

8. A computer readable medium, on which a computer program is stored, characterized in that the program, when being executed by a processor, implements the method according to any of claims 1-3.