CN110826953A - Method and device for planning warehouse storage equipment - Google Patents
Method and device for planning warehouse storage equipment Download PDFInfo
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Abstract
The invention discloses a method and a device for planning storage equipment in a warehouse, and relates to the technical field of computers. One embodiment of the method comprises: determining the grade of the article to be stored; grouping the articles to be stored according to the grades and the storage device types corresponding to the articles to be stored; wherein, the grade of the article to be stored in each group is respectively the same as the type of the storage equipment; and determining the number of the storage equipment required by each group according to the attribute information of the articles to be stored in each group and the specification information of the type of the corresponding storage equipment. According to the method, the goods to be stored correspond to the area for storing the goods, namely the area where the storage equipment is located, so that goods delivery operation and the like are facilitated, and the goods picking efficiency is improved. And the number of the storage devices is more accurately determined, and the utilization rate of the storage devices is improved.
Description
Technical Field
The invention relates to the technical field of computers, in particular to a method and a device for planning warehouse storage equipment.
Background
With the application of technologies such as internet of things, big data, artificial intelligence and the like in the field of logistics, the logistics industry is developing towards unmanned operation, intelligent operation and intelligent decision making. The storage is the core link of commodity circulation, and the operation of selecting in electricity merchant's storage can be through transfer robot dolly (AGV automated guided transport vechicle) automatic handling goods shelves to the workstation, and the realization goods is selected to the people, and this has not only improved and has selected efficiency, has also greatly reduced manual work intensity and operation cost.
The storage device is a goods shelf for storing goods in an unmanned storehouse, and the quantity planning is the primary content of the storage planning. Compared with the traditional manual warehouse, the storage device position of the unmanned warehouse is movable and is limited by the traveling path of the AGV, and the types of the storage device of the unmanned warehouse (the types of the storage device for storing the goods) are limited. In the prior art, the number of storage devices required for a commodity is determined only according to the storage number of the commodity and the type of the storage device corresponding to the storage number. The positions of the storage devices in the unmanned warehouse can be moved, and in the prior art, only the number of the storage devices is determined, and the positions of the storage devices are not planned. Furthermore, determining the number of storage devices needed by the number of items alone results in low storage device utilization.
Disclosure of Invention
In view of this, embodiments of the present invention provide a method and an apparatus for planning a warehouse storage device, which can be used to facilitate an ex-warehouse operation of an item through an area where the item to be stored is stored, that is, an area where the storage device is located, corresponding to the level of the item, so as to improve the picking efficiency. And determining the quantity of the storage equipment required by each group respectively based on the grade of the article to be stored and the type of the storage equipment corresponding to the grade, so that the determined quantity is more accurate, and the utilization rate of the storage equipment is improved.
To achieve the above object, according to an aspect of an embodiment of the present invention, a method for planning a warehouse storage device is provided.
The method for planning the warehouse storage equipment comprises the following steps: determining the grade of the article to be stored; grouping the articles to be stored according to the grades and the storage device types corresponding to the articles to be stored; wherein, the grade of the article to be stored in each group is respectively the same as the type of the storage equipment; and determining the number of the storage equipment required by each group according to the attribute information of the articles to be stored in each group and the specification information of the type of the corresponding storage equipment.
Optionally, the step of determining the grade of the item to be stored comprises: sequencing all the articles to be stored according to the historical ex-warehouse quantity of each article to be stored; for each type of article to be stored, determining the storage volume ratio of the article to be stored according to the storage volume and the total storage volume; determining the accumulated proportion of each article to be stored according to the sequencing result and the storage volume proportion; and determining the grade of each article to be stored according to the accumulated proportion.
Optionally, before grouping the to-be-stored items according to the grade and the type of the storage device corresponding to the to-be-stored item, the method further includes: determining the storage volume of each article to be stored and the cargo space storage volume of each storage device type; for each article to be stored, judging whether a goods space storage volume larger than the storage volume exists or not; if the storage device type is the storage device type corresponding to the article to be stored, screening out the minimum goods location storage volume from the goods location storage volumes larger than the storage volume of the storage device, wherein the storage device type corresponding to the minimum goods location storage volume is the storage device type corresponding to the article to be stored; otherwise, screening out the maximum goods space storage volume from the goods space storage volume which is not larger than the storage volume of the goods space storage volume, wherein the type of the storage device corresponding to the maximum goods space storage volume is the type of the storage device corresponding to the goods to be stored.
Optionally, after grouping the to-be-stored items according to the grade and the type of the storage device corresponding to the to-be-stored item, and before determining the number of the storage devices required by each group according to the attribute information of the to-be-stored item in each group and the specification information of the type of the storage device corresponding to the attribute information, the method further includes: for the to-be-stored items in each group, determining the average storage volume of the group according to the number and the storage volume of the to-be-stored items included in the group; the corresponding storage device type of the group is adjusted based on the average storage volume of the group.
Optionally, the attribute information of the to-be-stored items at least includes the number and unit volume of the to-be-stored items; the specification information of the storage device type at least comprises a goods space quantity, a goods space storage volume and a goods space storage article type quantity threshold; and
the step of determining the number of the storage devices required by each group according to the attribute information of the articles to be stored in each group and the specification information of the type of the corresponding storage device comprises the following steps: determining a first number of the storage devices according to the number of the articles to be stored in each group, the freight quantity of the types of the storage devices corresponding to the articles to be stored in each group and the quantity threshold of the types of the articles stored in the freight space; determining the storage volume of the articles to be stored in each group according to the unit volume and the number of the articles to be stored in each group; determining a second number of the storage devices according to the storage volume, the number of digits of each storage device type and the storage volume of the goods space; and comparing the first number with the second number, and taking the maximum value as the number of the storage devices required by each group.
To achieve the above object, according to another aspect of the embodiments of the present invention, there is provided an apparatus for planning a warehouse storage device.
The device for planning the warehouse storage equipment comprises the following components: the grade determining module is used for determining the grade of the article to be stored; the grouping module is used for grouping the articles to be stored according to the grade and the type of the storage equipment corresponding to the articles to be stored; wherein, the grade of the article to be stored in each group is respectively the same as the type of the storage equipment; and the quantity determining module is used for determining the quantity of the storage equipment required by each group according to the attribute information of the articles to be stored in each group and the specification information of the type of the corresponding storage equipment.
Optionally, the rank determining module is further configured to sort all the items to be stored according to the historical ex-warehouse quantity of each item to be stored; for each type of article to be stored, determining the storage volume ratio of the article to be stored according to the storage volume and the total storage volume; determining the accumulated proportion of each article to be stored according to the sequencing result and the storage volume proportion; and determining the grade of each article to be stored according to the accumulated proportion.
Optionally, the apparatus for planning a warehouse storage device in the embodiment of the present invention further includes a storage device type determining module, configured to determine a storage volume of each item to be stored and a cargo space storage volume of each storage device type; for each article to be stored, judging whether a goods space storage volume larger than the storage volume exists or not; if the storage device type is the storage device type corresponding to the article to be stored, screening out the minimum goods location storage volume from the goods location storage volumes larger than the storage volume of the storage device, wherein the storage device type corresponding to the minimum goods location storage volume is the storage device type corresponding to the article to be stored; otherwise, screening out the maximum goods space storage volume from the goods space storage volume which is not larger than the storage volume of the goods space storage volume, wherein the type of the storage device corresponding to the maximum goods space storage volume is the type of the storage device corresponding to the goods to be stored.
Optionally, the apparatus for planning a warehouse storage device according to the embodiment of the present invention further includes a type adjustment module, configured to, for each group of items to be stored, determine an average storage volume of the group according to the number and the storage volume of the items to be stored included in the group; the corresponding storage device type of the group is adjusted based on the average storage volume of the group.
Optionally, the quantity determining module is further configured to determine a first quantity of the storage devices according to the quantity of the items to be stored in each group, the quantity of the goods of the type of the storage device corresponding to the quantity threshold of the types of the items stored in the goods space; determining the storage volume of the articles to be stored in each group according to the unit volume and the number of the articles to be stored in each group; determining a second number of the storage devices according to the storage volume, the number of digits of each storage device type and the storage volume of the goods space; comparing the first number with the second number, and taking the maximum value as the number of the storage devices required by each group;
wherein the attribute information of the to-be-stored articles at least comprises the number and unit volume of the to-be-stored articles; the specification information of the storage device type at least comprises a goods space quantity, a goods space storage volume and a goods space storage article type quantity threshold value.
To achieve the above object, according to still another aspect of an embodiment of the present invention, there is provided an electronic apparatus.
The electronic device of the embodiment of the invention comprises: one or more processors; storage means for storing one or more programs which, when executed by the one or more processors, cause the one or more processors to implement the method of warehouse storage device planning of any of the above.
To achieve the above object, according to a further aspect of the embodiments of the present invention, there is provided a computer readable medium having a computer program stored thereon, wherein the program is configured to implement the method of warehouse storage device planning of any one of the above when executed by a processor.
One embodiment of the above invention has the following advantages or benefits: the goods sorting device has the advantages that the goods can be stored in the region where the goods are stored, namely the region where the storage device is located, the goods can be conveniently taken out of the warehouse, and the goods sorting efficiency is improved. And the commodities with the same grade and the same type of the storage equipment are grouped together, and the quantity of the storage equipment required by the commodities is further determined according to the planning attribute information (volume and quantity) of the commodities in the group on the premise that the storage position of the group is determined, so that the determined quantity is more accurate, and the utilization rate of the storage equipment is further improved.
Further effects of the above-mentioned non-conventional alternatives will be 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 diagram of a main flow of a method of warehouse storage facility planning, according to an embodiment of the present invention;
FIG. 2 is a schematic diagram of a method of unmanned warehouse storage facility planning, in accordance with an embodiment of the present invention;
FIG. 3 is a schematic diagram of the main modules of an apparatus for warehouse storage device planning, in accordance with an embodiment of the present invention;
FIG. 4 is an exemplary system architecture diagram in which embodiments of the present invention may be employed;
fig. 5 is a schematic block diagram of a computer system suitable for use in implementing a terminal device or server of an embodiment of the invention.
Detailed Description
Exemplary embodiments of the present invention are described below with reference to the accompanying drawings, in which various details of embodiments of the invention are included to assist understanding, and which are to be considered as 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.
Fig. 1 is a schematic diagram of a main flow of a method for planning a warehouse storage device according to an embodiment of the present invention, and as shown in fig. 1, the method for planning a warehouse storage device according to an embodiment of the present invention mainly includes:
step S101: the grade of the item to be stored is determined. Specifically, the rank (Band) may be automatically set by the historical sales volume and the storage volume of each article to be stored, and it may also be considered that the rank of each article to be stored is set. Different levels correspond to different storage areas, for example, the higher the level, the closer the storage location is to the output port.
In the process of automatically setting the level, firstly, all the articles to be stored are sequenced according to the historical ex-warehouse quantity of each article to be stored. The historical ex-warehouse quantity can be determined by counting the average of the ex-warehouse quantities of the last 30 days or one week. The ex-warehouse quantity can reflect the sales volume of the commodities in the statistical time period, and all the articles to be stored are sequenced according to the historical ex-warehouse quantity, so that the sales conditions of all the articles to be stored are reflected. Then, for each type of article to be stored, the storage volume occupation ratio of the article to be stored is determined according to the storage volume and the total storage volume. There may be many items per quantity to be stored, and after determining the quantity of each item to be stored and the unit storage volume, the storage volume for that ton of items may be determined. The unit storage volume refers to the storage volume of each article, and is determined based on the length, width and height of each packaged article to be stored. Further, according to the sequencing result and the storage volume ratio, the cumulative ratio of each article to be stored is determined. And determining the grade of each article to be stored according to the accumulated proportion. The accumulated ratio is the sum of the storage volume ratios of each item to be stored and the items before the ranking of the item based on the result of the ranking.
For example, the historical ex-warehouse quantities for item a, item b, item c, item d, and item e for the last 30 days (which may be set) are 100, 120, 300, 230, and 200, respectively. The result after sorting (which can be from large to small) according to the historical ex-warehouse quantity of each type of article to be stored is: item c, item d, item e, item b, and item a. And the articles to be stored are articles a, b, c, d and e, the number of articles to be stored is 10, 15, 20, 5 and 20, the unit storage volume is 5, 6, 3, 8 and 4, respectively, the storage volume of article a is 10 × 5 to 50, and correspondingly, the storage volumes of article b, c, d and e are 90, 60, 40 and 80, respectively. The storage volume ratio of item a is 50/(50+90+60+40+80) to 0.15625, and the storage volume ratios of item b, item c, item d, and item e are 0.28125, 0.1875, 0.125, and 0.25, respectively. Based on the sorting results of the item c, the item d, the item e, the item b, and the item a and the above-mentioned storage volume ratios, the cumulative ratios of the item c, the item d, the item e, the item b, and the item a are determined to be 0.1875, 0.3125, 0.5625, 0.84375, and 1, respectively. The specific cases are as follows:
| results of the sorting | Number of historical exports | Storage volume fraction | Cumulative |
| Item c | |||
| 300 | 0.1875 | 0.1875 | |
| Article d | 230 | 0.125 | 0.3125 |
| Article e | 200 | 0.25 | 0.5625 |
| Article b | 120 | 0.28125 | 0.84375 |
| Article a | 100 | 0.15625 | 1 |
After the accumulative occupation ratio of various articles to be stored is determined, the grade of the articles to be stored is determined according to the accumulative occupation ratio, and the specific interval threshold value can be set according to the requirement. For example, in the above example, after converting the cumulative percentage to a percentage form, the cumulative percentage is in the range of [0, 20), which is rated class i; the accumulative ratio is in the range of [20, 40), and the grade is II; the accumulative ratio is in the range of [40, 60), and the grade is III grade; the accumulative ratio is in the range of [60, 80), and the grade is IV grade; the accumulative occupation ratio is in the range of [80, 100], and the grade is V grade. Then item c, item d, item e, item b, and item a are rated class i, class ii, class iii, class v, and class v, respectively. In the warehouse, the storage positions (areas) of the I level, the II level, the III level, the IV level and the V level are correspondingly arranged, for example, the position of the I level is closer to the warehouse-out opening and closer to the workstation, so that the better-sold articles can be conveniently taken out. After the grade of each article to be stored is determined, the storage location of the article in the warehouse can be determined.
Step S102: and grouping the articles to be stored according to the grade and the type of the storage equipment corresponding to the articles to be stored. Wherein, the grade and the storage device (shelf) type of the to-be-stored item included in each group are respectively the same, that is, the grade of all to-be-stored items included in each group is consistent, and the storage device type of all to-be-stored items included in each group is also consistent. The storage device type corresponding to the article to be stored refers to the device type for storing the article, and the device types for storing the article are different due to the difference of the size or the weight of the article. The number of cargo space and the storage volume of cargo space are generally different for different storage device types, wherein the number of cargo space refers to the number of shelves for storing articles in one storage device, for example, if a certain storage device has two shelves and one shelf has 3 shelves, the number of cargo space of the storage device type is 6. The cargo space storage volume refers to the maximum volume of the storage device that each cargo space can use to store items. The type of the storage equipment corresponding to the articles to be stored can be set manually, and can also be set automatically according to the volume of the articles to be stored and the volume of various storage equipment.
Before the above process, the storage device type corresponding to each article to be stored may be automatically determined. Specifically, the storage volume of each item to be stored, and the cargo space storage volume of each storage device type, are determined. For each item to be stored, it is determined whether a cargo space storage volume greater than its storage volume exists. If the storage device type is the storage device type corresponding to the article to be stored, screening out the minimum goods location storage volume from the goods location storage volumes larger than the storage volume of the storage device, wherein the storage device type corresponding to the minimum goods location storage volume is the storage device type corresponding to the article to be stored; otherwise, screening out the maximum goods space storage volume from the goods space storage volume which is not larger than the storage volume of the goods space storage volume, wherein the type of the storage device corresponding to the maximum goods space storage volume is the type of the storage device corresponding to the goods to be stored.
For example, in the above example, the types of storage devices are 2, K-type and L-type, respectively, and the cargo space storage volumes of K-type and L-type are 55 and 70, respectively. From the above, the storage volumes of item a, item b, item c, item d, and item e are 50, 90, 60, 40, and 80, respectively. For item a, the storage volume is 50, a cargo space storage volume (55 and 70) larger than the storage volume is present, and the minimum cargo space storage volume is screened out from the cargo space storage volumes larger than the storage volume and is of type K corresponding to the type of storage device. Therefore, the type of the storage device corresponding to the article a is determined to be the type K. And for the article b, the storage volume is 90, no cargo space storage volume larger than the storage volume exists, the largest cargo space storage volume is screened out from the cargo space storage volumes not larger than the storage volume to be 70, and the type of the storage device corresponding to the article b is L type. Correspondingly, the storage device types corresponding to the item c, the item d and the item e are determined to be an L type, a K type and an L type respectively. Through the process, the storage equipment type corresponding to the article can be accurately determined automatically according to the volume of the article to be stored and the storage space storage volume of the storage equipment.
After step S102, the items to be stored are grouped according to the grade of the items to be stored and the type of the storage device corresponding to the items to be stored, where the above example specific grouping case is as follows:
| group of | Articles to be stored |
| Class I&Type K | Is free of |
| Class I&Type L | Item c |
| Stage II&Type K | Article d |
| Stage II&Type L | Is free of |
| Class III&Type K | Is free of |
| Class III&Type L | Article e |
| IV stage&Type K | Is free of |
| IV stage&Type L | Is free of |
| Class V&Type K | Article a |
| Class V&Type L | Article b |
After the grouping, the type of the storage device corresponding to the articles can be adjusted according to the average storage volume of the articles to be stored in each group. Specifically, for the to-be-stored items in each group, determining an average storage volume of the group according to the number and the storage volume of the to-be-stored items included in the group; the corresponding storage device type of the group is adjusted based on the average storage volume of the group. The number of items to be stored included in the group is the total number of all items to be stored included in the group, and the number of each item to be stored may be determined from the historical inventory number, for example, if the inventory number of item a in the last 30 days is 600, then the average inventory number per day is 20. The number of storage devices required per day is determined to be 20 for this item a, and 140 for this item a if the number of storage devices required per week is determined.
And, if there are two items to be stored in a class ii & K type group, the average of the storage volumes of the two items in the group may be further based on the average of the storage volumes of the two items in the group, since the two items in the group are to be stored in the same storage device and are located in the same storage area. And adjusting the type of the storage equipment corresponding to the group (namely the type of the storage equipment corresponding to the articles to be stored in the group). After determining the average storage volume of the items to be stored in the group, it may be further determined whether there is a cargo space storage volume greater than its average storage volume. And if so, screening out the minimum goods space storage volume from the goods space storage volumes larger than the average storage volume of the goods space storage volumes, wherein the storage equipment type corresponding to the minimum goods space storage volume is the storage equipment type corresponding to the group. Otherwise, screening the maximum storage volume of the goods space from the storage volumes of the goods space which are not larger than the average storage volume of the goods space, wherein the type of the storage equipment corresponding to the maximum storage volume of the goods space is the type of the storage equipment corresponding to the small group. In another embodiment, the average storage volume of the items to be stored in the subgroup is determined and then manually adjusted.
Step S103: and determining the number of the storage equipment required by each group according to the attribute information of the articles to be stored in each group and the specification information of the type of the corresponding storage equipment. The attribute information of the articles to be stored at least comprises the number and unit volume of the articles to be stored. The attribute information of the to-be-stored article can also comprise the packaging color of the to-be-stored article, and can correspond to different storage device types according to different colors. The specification information of the storage device type at least comprises a goods space quantity, a goods space storage volume and a goods space storage article type quantity threshold value. The goods type quantity threshold value refers to the type of the stored goods at most in each goods space, the operation of a picking person is generally convenient, and the type of the stored goods in each goods space has an upper limit.
Specifically, a first number of the storage devices is determined according to the number of the articles to be stored in each group, the freight quantity of the types of the storage devices corresponding to the articles to be stored in each group and a freight quantity threshold value of the types of the articles stored in the freight space; determining the storage volume of the articles to be stored in each group according to the unit volume and the number of the articles to be stored in each group; determining a second number of the storage devices according to the storage volume, the number of digits of each storage device type and the storage volume of the goods space; comparing the first number with the second number, and taking the maximum value as the number of the storage devices required by each group.
According to the embodiment of the invention, the region for storing the article, namely the region where the storage equipment is located, can be correspondingly stored through the grade of the article to be stored, so that the article is convenient to carry out warehouse-out operation and the like, and the goods picking efficiency is improved. And the commodities with the same grade and the same type of the storage equipment are grouped together, and the quantity of the storage equipment required by the commodities is further determined according to the planning attribute information (volume and quantity) of the commodities in the group on the premise that the storage position of the group is determined, so that the determined quantity is more accurate, and the utilization rate of the storage equipment is further improved.
The method for planning the warehouse storage equipment is described by taking unmanned warehouse storage of commodities as an example. In an embodiment of the present invention, the commodity refers to an item that needs to be stored in the unmanned bin, and the number of storage devices required to store the one or more commodities per day is determined.
FIG. 2 is a schematic diagram of a method of unmanned warehouse storage facility planning, in accordance with an embodiment of the present invention; as shown in fig. 2, the method for planning an unmanned warehouse storage facility according to an embodiment of the present invention includes:
step S201: the grade of each commodity is determined. The information of commodity number, length, width, height and the like of each commodity can be firstly obtained, and the unit storage volume of the commodity can be determined according to the length, the width and the height of the commodity. And acquiring the daily average stock number and the daily average output stock number of each commodity in the last 30 days. According to the unit storage volume and the daily average stock number of each commodity, the storage volume of the commodity in the commodity is determined to be the daily average stock number unit storage volume. After the storage volume of each commodity is determined, the sum of the storage volumes of all the commodities is the total storage volume. And determining the storage volume ratio of each commodity to the storage volume/total storage volume of the commodity according to the total storage volume and the storage volume of each commodity.
And sequencing all the commodities according to the daily average warehouse quantity of the commodities, determining the accumulated ratio of each commodity based on the sequencing result and the storage volume ratio of each commodity, and determining the grade of each commodity based on the accumulated ratio.
Step S202: and determining the type of the storage device corresponding to each commodity. And for each commodity, after determining the storage volume V of the commodity as the daily average stock number unit, selecting the storage equipment with the smallest storage volume of the goods space from the storage equipment with the storage volume larger than V of the goods space to store the commodity, wherein the type of the storage equipment is the type of the storage equipment corresponding to the commodity. And if the storage device with the storage volume of the goods space larger than V does not exist, selecting the storage device with the largest storage volume of the goods space to store the commodity, wherein the type of the storage device is the type of the storage device corresponding to the commodity.
Step S203: and grouping all the commodities according to the grades of the commodities and the types of the storage devices corresponding to the commodities. Wherein the grades of the commodities and the types of the storage devices included in each group are respectively the same.
Step S204: and counting the quantity, the storage volume and the average storage volume of the commodities in each group aiming at the commodities in each group.
Step S205: and adjusting the type of the storage device corresponding to each group based on the average storage volume of each group. And after determining the average storage volume of the commodities in each group, selecting the storage equipment with the smallest storage volume of the goods space from the storage equipment with the storage volume of the goods space larger than the average storage volume to store the commodities, wherein the type of the storage equipment is the type of the storage equipment corresponding to the commodities. And if the storage device with the storage volume of the goods space larger than the average storage volume does not exist, selecting the storage device with the largest storage volume of the goods space to store the goods, wherein the type of the storage device is the type of the storage device corresponding to the goods.
Step S206: and determining the quantity of the storage equipment required by each group according to the quantity and the unit volume of the commodities in each group, and the goods space quantity, the goods space storage volume and the goods space stored item type quantity threshold value of the corresponding storage equipment type.
For each group of commodities, according to the total quantity of commodities in the group, the statistical storage device quantity N1 is the total quantity of commodities in the group/the quantity threshold value of goods type stored in the goods space/the quantity of goods digit, where the quantity threshold value of goods type stored in the goods space and the quantity of goods digit are the specification information of the storage device adjusted in step S205. For each group of commodities, according to the total storage volume in the group, the statistical storage device number N2 is the total stock volume/goods location storage volume/goods location number in the group, where the goods location storage volume and the goods location number are the specification information of the storage device adjusted in step S205.
For different groups, the maximum value of the storage device numbers N1 and N2 is taken as the planning number of the storage devices required by the group. After the number of the storage devices required by each group is determined, the number of the storage devices of all the groups is summarized, and then the number of different storage devices required by the commodities stored every day is determined.
Fig. 3 is a schematic diagram of main modules of an apparatus for planning a warehouse storage device according to an embodiment of the present invention, and as shown in fig. 3, the apparatus 300 for planning a warehouse storage device according to an embodiment of the present invention includes a rank determination module 301, a grouping module 302, and a quantity determination module 303.
The grade determining module 301 is configured to determine a grade of the item to be stored. The grade determining module is also used for sequencing all the articles to be stored according to the historical ex-warehouse quantity of each article to be stored; for each type of article to be stored, determining the storage volume ratio of the article to be stored according to the storage volume and the total storage volume; determining the accumulated proportion of each article to be stored according to the sequencing result and the storage volume proportion; and determining the grade of each article to be stored according to the accumulated proportion.
The grouping module 302 is configured to group the items to be stored according to the grades and the types of the storage devices corresponding to the items to be stored; wherein, the grade of the article to be stored and the type of the storage device in each group are respectively the same.
The quantity determining module 303 is configured to determine the quantity of the storage devices required by each group according to the attribute information of the items to be stored in each group and the specification information of the types of the storage devices corresponding to the attribute information. The quantity determining module is further used for determining a first quantity of the storage devices according to the quantity of the articles to be stored in each group, the freight quantity of the types of the storage devices corresponding to the quantity determining module and the quantity threshold of the types of the articles stored in the freight space; determining the storage volume of the articles to be stored in each group according to the unit volume and the number of the articles to be stored in each group; determining a second number of the storage devices according to the storage volume, the number of digits of each storage device type and the storage volume of the goods space; comparing the first number with the second number, and taking the maximum value as the number of the storage devices required by each group. The attribute information of the articles to be stored at least comprises the number and unit volume of the articles to be stored; the specification information of the storage device type at least comprises a goods space quantity, a goods space storage volume and a goods space storage article type quantity threshold value.
The device for planning the warehouse storage equipment in the embodiment of the invention also comprises a storage equipment type determining module, a storage equipment type determining module and a storage space determining module, wherein the storage equipment type determining module is used for determining the storage volume of each type of the items to be stored and the storage space storage volume of each type of the storage equipment; for each article to be stored, judging whether a goods space storage volume larger than the storage volume exists or not; if the storage device type is the storage device type corresponding to the article to be stored, screening out the minimum goods location storage volume from the goods location storage volumes larger than the storage volume of the storage device, wherein the storage device type corresponding to the minimum goods location storage volume is the storage device type corresponding to the article to be stored; otherwise, screening out the maximum goods space storage volume from the goods space storage volume which is not larger than the storage volume of the goods space storage volume, wherein the type of the storage device corresponding to the maximum goods space storage volume is the type of the storage device corresponding to the goods to be stored.
The device for planning the warehouse storage equipment in the embodiment of the invention further comprises a type adjusting module, a storage volume adjusting module and a storage volume adjusting module, wherein the type adjusting module is used for determining the average storage volume of each group according to the quantity and the storage volume of the to-be-stored articles in each group; the corresponding storage device type of the group is adjusted based on the average storage volume of the group.
According to the embodiment of the invention, the region for storing the article, namely the region where the storage equipment is located, can be correspondingly stored through the grade of the article to be stored, so that the article is convenient to carry out warehouse-out operation and the like, and the goods picking efficiency is improved. And the commodities with the same grade and the same type of the storage equipment are grouped together, and the quantity of the storage equipment required by the commodities is further determined according to the planning attribute information (volume and quantity) of the commodities in the group on the premise that the storage position of the group is determined, so that the determined quantity is more accurate, and the utilization rate of the storage equipment is further improved.
Fig. 4 illustrates an exemplary system architecture 400 of a method of warehouse storage planning or an apparatus of warehouse storage planning to which embodiments of the present invention may be applied.
As shown in fig. 4, the system architecture 400 may include terminal devices 401, 402, 403, a network 404, and a server 405. The network 404 serves as a medium for providing communication links between the terminal devices 401, 402, 403 and the server 405. Network 404 may include various types of connections, such as wire, wireless communication links, or fiber optic cables, to name a few.
A user may use terminal devices 401, 402, 403 to interact with a server 405 over a network 404 to receive or send messages or the like. The terminal devices 401, 402, 403 may have installed thereon various communication client applications, such as shopping-like applications, web browser applications, search-like applications, instant messaging tools, mailbox clients, social platform software, etc. (by way of example only).
The terminal devices 401, 402, 403 may be various electronic devices having a display screen and supporting web browsing, including but not limited to smart phones, tablet computers, laptop portable computers, desktop computers, and the like.
The server 405 may be a server providing various services, such as a background management server (for example only) providing support for shopping websites browsed by users using the terminal devices 401, 402, 403. The background management server can analyze and process the received data such as the product information inquiry request and feed back the processing result to the terminal equipment.
It should be noted that the method for planning the warehouse storage device provided by the embodiment of the present invention is generally executed by the server 405, and accordingly, the apparatus for planning the warehouse storage device is generally disposed in the server 405.
It should be understood that the number of terminal devices, networks, and servers in fig. 4 is merely illustrative. There may be any number of terminal devices, networks, and servers, as desired for implementation.
Referring now to FIG. 5, shown is a block diagram of a computer system 500 suitable for use with a terminal device implementing an embodiment of the present invention. The terminal device shown in fig. 5 is only an example, and should not bring any limitation to the functions and the scope of use of the embodiments of the present invention.
As shown in fig. 5, the computer system 500 includes a Central Processing Unit (CPU)501 that can perform various appropriate actions and processes according to a program stored in a Read Only Memory (ROM)502 or a program loaded from a storage section 508 into a Random Access Memory (RAM) 503. In the RAM 503, various programs and data necessary for the operation of the system 500 are also stored. The CPU 501, ROM 502, and RAM 503 are connected to each other via a bus 504. An input/output (I/O) interface 505 is also connected to bus 504.
The following components are connected to the I/O interface 505: an input portion 506 including a keyboard, a mouse, and the like; an output portion 507 including a display such as a Cathode Ray Tube (CRT), a Liquid Crystal Display (LCD), and the like, and a speaker; a storage portion 508 including a hard disk and the like; and a communication section 509 including a network interface card such as a LAN card, a modem, or the like. The communication section 509 performs communication processing via a network such as the internet. The driver 510 is also connected to the I/O interface 505 as necessary. A removable medium 511 such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, or the like is mounted on the drive 510 as necessary, so that a computer program read out therefrom is mounted into the storage section 508 as necessary.
In particular, according to the embodiments of the present disclosure, the processes described above with reference to the 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 illustrated in the flow chart. In such an embodiment, the computer program may be downloaded and installed from a network through the communication section 509, and/or installed from the removable medium 511. The computer program performs the above-described functions defined in the system of the present invention when executed by the Central Processing Unit (CPU) 501.
It should be noted that the computer readable medium shown in the present invention can be a computer readable signal medium or a computer readable storage medium or any combination of the two. A computer readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination 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 present invention, 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, a computer readable signal medium may include a propagated data signal with computer readable program code embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated data signal may take many forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. 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 flowchart 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 module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams 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 modules described in the embodiments of the present invention may be implemented by software or hardware. The described modules may also be provided in a processor, which may be described as: a processor includes an acquisition level determination module, a grouping module, and a quantity determination module. The names of these modules do not in some cases constitute a limitation of the module itself, and for example, the rank determination module may also be described as a "module that determines the rank of an item to be stored".
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 separate and not incorporated into the device. The computer readable medium carries one or more programs which, when executed by a device, cause the device to comprise: determining the grade of the article to be stored; grouping the articles to be stored according to the grades and the storage device types corresponding to the articles to be stored; wherein, the grade of the article to be stored in each group is respectively the same as the type of the storage equipment; and determining the number of the storage equipment required by each group according to the attribute information of the articles to be stored in each group and the specification information of the type of the corresponding storage equipment.
According to the embodiment of the invention, the region for storing the article, namely the region where the storage equipment is located, can be correspondingly stored through the grade of the article to be stored, so that the article is convenient to carry out warehouse-out operation and the like, and the goods picking efficiency is improved. And the commodities with the same grade and the same type of the storage equipment are grouped together, and the quantity of the storage equipment required by the commodities is further determined according to the planning attribute information (volume and quantity) of the commodities in the group on the premise that the storage position of the group is determined, so that the determined quantity is more accurate, and the utilization rate of the storage equipment is further improved.
The above-described embodiments should not be construed as limiting the scope of the invention. Those skilled in the art will appreciate that various modifications, combinations, sub-combinations, and substitutions can occur, depending on design requirements and other factors. Any modification, equivalent replacement, and improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (12)
1. A method of warehouse storage equipment planning, comprising:
determining the grade of the article to be stored;
grouping the articles to be stored according to the grades and the storage device types corresponding to the articles to be stored; wherein, the grade of the article to be stored in each group is respectively the same as the type of the storage equipment;
and determining the number of the storage equipment required by each group according to the attribute information of the articles to be stored in each group and the specification information of the type of the corresponding storage equipment.
2. The method of claim 1, wherein the step of determining the grade of the item to be stored comprises:
sequencing all the articles to be stored according to the historical ex-warehouse quantity of each article to be stored;
for each type of article to be stored, determining the storage volume ratio of the article to be stored according to the storage volume and the total storage volume;
determining the accumulated proportion of each article to be stored according to the sequencing result and the storage volume proportion;
and determining the grade of each article to be stored according to the accumulated proportion.
3. The method according to claim 1, before grouping the items to be stored according to the rank and the type of storage device to which the items to be stored correspond, further comprising:
determining the storage volume of each article to be stored and the cargo space storage volume of each storage device type;
for each article to be stored, judging whether a goods space storage volume larger than the storage volume exists or not;
if the storage device type is the storage device type corresponding to the article to be stored, screening out the minimum goods location storage volume from the goods location storage volumes larger than the storage volume of the storage device, wherein the storage device type corresponding to the minimum goods location storage volume is the storage device type corresponding to the article to be stored; otherwise, screening out the maximum goods space storage volume from the goods space storage volume which is not larger than the storage volume of the goods space storage volume, wherein the type of the storage device corresponding to the maximum goods space storage volume is the type of the storage device corresponding to the goods to be stored.
4. The method according to claim 1, wherein after grouping the to-be-stored items according to the grades and the storage device types corresponding to the to-be-stored items, and before determining the number of the storage devices required by each group according to the attribute information of the to-be-stored items in each group and the specification information of the storage device types corresponding to the attribute information, further comprising:
for the to-be-stored items in each group, determining the average storage volume of the group according to the number and the storage volume of the to-be-stored items included in the group;
the corresponding storage device type of the group is adjusted based on the average storage volume of the group.
5. The method according to claim 1, wherein the attribute information of the items to be stored at least includes the number and unit volume of the items to be stored; the specification information of the storage device type at least comprises a goods space quantity, a goods space storage volume and a goods space storage article type quantity threshold; and
the step of determining the number of the storage devices required by each group according to the attribute information of the articles to be stored in each group and the specification information of the type of the corresponding storage device comprises the following steps:
determining a first number of the storage devices according to the number of the articles to be stored in each group, the freight quantity of the types of the storage devices corresponding to the articles to be stored in each group and the quantity threshold of the types of the articles stored in the freight space;
determining the storage volume of the articles to be stored in each group according to the unit volume and the number of the articles to be stored in each group; determining a second number of the storage devices according to the storage volume, the number of digits of each storage device type and the storage volume of the goods space;
and comparing the first number with the second number, and taking the maximum value as the number of the storage devices required by each group.
6. An apparatus for planning a warehouse storage facility, comprising:
the grade determining module is used for determining the grade of the article to be stored;
the grouping module is used for grouping the articles to be stored according to the grade and the type of the storage equipment corresponding to the articles to be stored; wherein, the grade of the article to be stored in each group is respectively the same as the type of the storage equipment;
and the quantity determining module is used for determining the quantity of the storage equipment required by each group according to the attribute information of the articles to be stored in each group and the specification information of the type of the corresponding storage equipment.
7. The apparatus according to claim 6, wherein the rank determining module is further configured to sort all the items to be stored according to the historical ex-warehouse quantity of each of the items to be stored; for each type of article to be stored, determining the storage volume ratio of the article to be stored according to the storage volume and the total storage volume; determining the accumulated proportion of each article to be stored according to the sequencing result and the storage volume proportion; and determining the grade of each article to be stored according to the accumulated proportion.
8. The apparatus of claim 6, further comprising a storage device type determination module for determining a storage volume for each item to be stored, and a cargo space storage volume for each storage device type; for each article to be stored, judging whether a goods space storage volume larger than the storage volume exists or not; if the storage device type is the storage device type corresponding to the article to be stored, screening out the minimum goods location storage volume from the goods location storage volumes larger than the storage volume of the storage device, wherein the storage device type corresponding to the minimum goods location storage volume is the storage device type corresponding to the article to be stored; otherwise, screening out the maximum goods space storage volume from the goods space storage volume which is not larger than the storage volume of the goods space storage volume, wherein the type of the storage device corresponding to the maximum goods space storage volume is the type of the storage device corresponding to the goods to be stored.
9. The apparatus of claim 6, further comprising a type adjustment module for determining, for the items to be stored in each group, an average storage volume for the group based on the number and storage volumes of the items to be stored included in the group; the corresponding storage device type of the group is adjusted based on the average storage volume of the group.
10. The apparatus according to claim 6, wherein the quantity determining module is further configured to determine the first quantity of the storage devices according to the quantity of the items to be stored in each group, the quantity of the items of the type of the storage device corresponding to the quantity of the items stored in the storage device, and a quantity threshold of the types of the items stored in the storage device; determining the storage volume of the articles to be stored in each group according to the unit volume and the number of the articles to be stored in each group; determining a second number of the storage devices according to the storage volume, the number of digits of each storage device type and the storage volume of the goods space; comparing the first number with the second number, and taking the maximum value as the number of the storage devices required by each group;
wherein the attribute information of the to-be-stored articles at least comprises the number and unit volume of the to-be-stored articles; the specification information of the storage device type at least comprises a goods space quantity, a goods space storage volume and a goods space storage article type quantity threshold value.
11. An electronic device, comprising:
one or more processors;
a storage device for storing one or more programs,
when executed by the one or more processors, cause the one or more processors to implement the method of any one of claims 1-5.
12. A computer-readable medium, on which a computer program is stored, which, when being executed by a processor, carries out the method according to any one of claims 1-5.
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