CN112446658A - Method and device for shunting and shelving storage articles - Google Patents
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Abstract
The invention discloses a method and a device for shunting and shelving storage articles, and relates to the technical field of logistics storage. One embodiment of the method comprises: calculating the transaction amount of the articles in a set time period according to historical order data and the correlation degree between the articles; selecting candidate items from the items contained in the historical order data according to the transaction amount, and selecting candidate associated items with accumulated association degree smaller than or equal to an association degree threshold value from the associated items of the candidate items; calculating the ratio of the order quantity of the candidate items and the candidate associated items in the historical order data to the total order quantity, and if the ratio is larger than or equal to the set shunting ratio, determining the candidate items and the candidate associated items as shunting items; and judging whether the stock quantity of the shunted articles in the first area of the warehouse reaches the upper limit of replenishment, and if the stock quantity reaches the upper limit of replenishment, shelving the shunted articles newly put in the warehouse to the second area of the warehouse. The method can improve the shunting accuracy and the shunting efficiency.
Description
Technical Field
The invention relates to the technical field of logistics storage, in particular to a method and a device for shunting and shelving storage articles.
Background
At present, in a warehouse, a robot area and a human area coexist to operate, but due to the limited area and the limited number of equipment of the robot area, the production capacity of the warehouse has an upper limit. For the warehouse of the man-machine mixed field, how to ensure the production timeliness of the order while not exceeding the upper limit of the production capacity of the robot area is a problem to be considered.
In order to solve the above problems, the prior art adopts the following scheme: calculating the excess capacity and the excess order quantity according to the predicted target production capacity and the predicted upper limit of the production capacity of the robot area; summarizing the articles contained in the historical order data and the corresponding daily sales volume into an Excel table, and manually screening the articles meeting the demand exceeding the order volume as shunting articles according to the sequence of the daily sales volume from more to less; and recommending the newly warehoused shunted articles to the human region for storage after the storage capacity of the shunted articles in the robot region reaches the manually set replenishment upper limit.
In the process of implementing the invention, the inventor finds that at least the following problems exist in the prior art:
(1) the Excel table is manually used for screening shunted articles, the workload is large, the accuracy is low, when the orders of the robot area and the human area need to be converged, the converging proportion is too high, the production difficulty is large, and the operation efficiency is low;
(2) the screening of reposition of redundant personnel article can not automatic adjustment, and the manual work sets for the replenishment upper limit, and the adjustment is updated untimely, leads to reposition of redundant personnel order quantity inaccurate.
Disclosure of Invention
In view of this, embodiments of the present invention provide a method and an apparatus for shunting and shelving storage items, where, based on transaction amounts of the items, association degrees between the items, and a shunting ratio, an item that has a high transaction amount, is associated with an item with a high transaction amount, and meets the shunting ratio is preferentially selected as a second area where the shunted item is shelved to a warehouse, so as to improve shunting accuracy and shunting efficiency, and simultaneously avoid an excessively high subsequent confluence ratio and reduce manual work load.
To achieve the above objects, according to one aspect of the embodiments of the present invention, there is provided a method of racking a warehouse.
The method for shunting and shelving storage articles in the embodiment of the invention comprises the following steps: calculating the transaction amount of the articles in a set time period according to historical order data and the correlation degree between the articles; selecting candidate items from the items contained in the historical order data according to the transaction amount, and selecting candidate associated items with accumulated association degree smaller than or equal to an association degree threshold value from the associated items of the candidate items; calculating the ratio of the order quantity of the candidate item and the candidate related item in the historical order data to the total order quantity, and if the ratio is larger than or equal to a set shunting ratio, determining the candidate item and the candidate related item as a shunting item; and judging whether the stock quantity of the shunted articles in the first area of the warehouse reaches the upper limit of replenishment, and if the stock quantity reaches the upper limit of replenishment, shelving the shunted articles newly warehoused to the second area of the warehouse.
Optionally, calculating the degree of association between the items comprises: and counting the order quantity of a plurality of articles appearing in the same order of the historical order data, and taking the order quantity or the normalized order quantity as the correlation degree among the plurality of articles.
Optionally, selecting a candidate item from the items included in the historical order data according to the transaction volume, and selecting a candidate related item with a cumulative association degree less than or equal to an association degree threshold from the related items of the candidate item, includes: initializing a split commodity set, wherein the split commodity set is used for storing the split commodities; sequentially selecting current candidate items from the items contained in the historical order data according to the sequence of the transaction amount of the items from high to low, and taking the selected current candidate items as the candidate items; and if the current candidate item selected each time is not contained in the shunting item set, selecting candidate associated items with accumulated association degree smaller than or equal to an association degree threshold value from the associated items of the current candidate item according to the sequence from high association degree to low association degree.
Optionally, selecting a candidate associated item with a cumulative association degree smaller than or equal to an association degree threshold from the associated items of the current candidate item according to the sequence of the association degrees from high to low, includes: selecting a current associated item from the associated items of the current candidate item according to the sequence of the association degrees from high to low; and (3) judging: if the current associated item is not contained in the shunting item set, judging whether the sum of the association degree of the current candidate item and the current associated item and the accumulated association degree is less than or equal to an association degree threshold value; wherein the initial value of the cumulative association degree is 0; updating: if the sum is less than or equal to the relevance threshold, updating the accumulated relevance to be the sum, and selecting a next relevant item from the relevant items of the current candidate item; and taking the next associated article as the current associated article, repeatedly executing the judging step and the updating step until the sum is greater than the association degree threshold value, and taking all the selected associated articles as candidate associated articles.
Optionally, the method further comprises: calculating the unit time transaction amount of the shunting articles according to the historical order data, and summing the difference value between the target time and the current time and the inventory turnover days of the shunting articles; and multiplying the summation result by the unit time transaction amount of the shunting articles to obtain the replenishment upper limit of the shunting articles.
Optionally, the method further comprises: comparing the inventory of the articles contained in the historical order data with the size of a set transaction amount threshold value to screen out the articles of which the inventory is greater than the transaction amount threshold value; selecting candidate items from the items contained in the historical order data according to the transaction volume, wherein the selecting candidate items comprises the following steps: selecting candidate items from the screened items according to the transaction amount
To achieve the above objects, according to another aspect of the embodiments of the present invention, there is provided a device for diverting stored goods onto shelves.
The device for shunting and putting on the shelf of the stored goods in the embodiment of the invention comprises: the calculation module is used for calculating the transaction amount of the articles in a set time period and the correlation degree between the articles according to the historical order data; the selecting module is used for selecting candidate items from the items contained in the historical order data according to the transaction amount, and selecting candidate related items of which the accumulated relevance is less than or equal to a relevance threshold from related items of the candidate items; the determining module is used for calculating the ratio of the order quantity of the candidate item and the candidate related item in the historical order data to the total order quantity, and if the ratio is larger than or equal to a set shunting ratio, determining the candidate item and the candidate related item as a shunting item; and the racking module is used for judging whether the stock quantity of the shunted articles in the first area of the warehouse reaches the upper limit of replenishment, and if the stock quantity reaches the upper limit of replenishment, racking the shunted articles newly put in the warehouse to the second area of the warehouse.
Optionally, the calculating module is further configured to count the order quantity of the same order in the historical order data for a plurality of items, and use the order quantity or the normalized order quantity as the association degree between the plurality of items.
Optionally, the selecting module is further configured to initialize a diverted commodity set, where the diverted commodity set is used to store the diverted commodities; sequentially selecting current candidate items from the items contained in the historical order data according to the sequence of the transaction amount of the items from high to low, and taking the selected current candidate items as the candidate items; and if the current candidate item selected each time is not contained in the shunting item set, selecting candidate associated items with accumulated association degree smaller than or equal to an association degree threshold value from the associated items of the current candidate item according to the sequence from high association degree to low association degree.
Optionally, the selecting module is further configured to select a current associated item from associated items of the current candidate item according to a sequence of high relevance to low relevance; and (3) judging: if the current associated item is not contained in the shunting item set, judging whether the sum of the association degree of the current candidate item and the current associated item and the accumulated association degree is less than or equal to an association degree threshold value; wherein the initial value of the cumulative association degree is 0; updating: if the sum is less than or equal to the relevance threshold, updating the accumulated relevance to be the sum, and selecting a next relevant item from the relevant items of the current candidate item; and taking the next associated article as the current associated article, repeatedly executing the judging step and the updating step until the sum is greater than the association degree threshold value, and taking all the selected associated articles as candidate associated articles.
Optionally, the apparatus further comprises: the replenishment upper limit calculation module is used for calculating the transaction amount of the shunted articles in unit time according to the historical order data, and summing the difference value between target time and current time with the number of inventory turnover days of the shunted articles; and multiplying the summation result by the unit time transaction amount of the shunting articles to obtain the replenishment upper limit of the shunting articles.
Optionally, the apparatus further comprises: the screening module is used for comparing the inventory of the articles contained in the historical order data with the size of a set transaction amount threshold value so as to screen out the articles of which the inventory is greater than the transaction amount threshold value; the selecting module is also used for selecting candidate articles from the screened articles according to the transaction amount.
To achieve the above object, according to still another aspect of embodiments of the present invention, there is provided an electronic apparatus.
An electronic device of an embodiment of the present invention includes: one or more processors; 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 realize the method for shunting and shelving the storage articles according to the embodiment of the invention.
To achieve the above object, according to still another aspect of embodiments of the present invention, there is provided a computer-readable medium.
A computer-readable medium of an embodiment of the present invention stores thereon a computer program, which when executed by a processor implements a method of diverting and racking storage items of an embodiment of the present invention.
One embodiment of the above invention has the following advantages or benefits: based on the transaction amount of the articles, the association degree between the articles and the distribution ratio, the articles which are high in transaction amount, are associated with the articles with high transaction amount and meet the distribution ratio are preferentially selected as the second areas for the distribution articles to be put on the warehouse, so that the distribution accuracy and the distribution efficiency are improved, the follow-up flow-merging ratio is prevented from being too high, and the manual operation amount is reduced; preferentially selecting the articles with high transaction amount and high association degree as shunting articles, and further improving shunting accuracy; and automatically adjusting the replenishment upper limit of the shunted article based on the difference between the promotion ending date and the current time and the unit time transaction amount of the shunted article, so that the replenishment upper limit close to the promotion ending date is gradually reduced, and the production pressure of the shunted area is reduced.
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 view of main steps of a method for shunting stored goods onto a rack according to a first embodiment of the present invention;
fig. 2 is a schematic main flow chart of a method for shunting articles onto racks according to a second embodiment of the present invention;
FIG. 3 is a schematic diagram of a main flow of selecting a candidate related item according to a second embodiment of the present invention;
fig. 4 is a schematic view illustrating a method of shunting articles onto a shelf in accordance with a third embodiment of the present invention;
fig. 5 is a main flow chart schematically illustrating a method of distributing stored goods on shelves according to a third embodiment of the present invention;
fig. 6 is a schematic view of the main modules of the device for distribution racking of stored goods according to an embodiment of the present invention;
FIG. 7 is an exemplary system architecture diagram in which embodiments of the present invention may be employed;
FIG. 8 is a schematic diagram of a computer apparatus suitable for use in an electronic device to implement 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 view illustrating main steps of a method for shunting articles onto a rack according to a first embodiment of the present invention. As shown in fig. 1, a method for shunting and shelving storage articles according to a first embodiment of the present invention mainly includes the following steps:
step S101: and calculating the transaction amount of the items in the set time period according to the historical order data and the correlation degree between the items. Historical order data of the user on the shopping platform in a period of time (such as in the past month) is obtained from a background database, and in the embodiment, the historical order data can comprise order identification, item number and item quantity. The association degree between the items can be the order number of the combination of a plurality of items appearing in one order at the same time; or may be a normalized order quantity. In a preferred embodiment, the transaction amount may be a transaction amount per unit time, and in the calculation, a weighted calculation may be performed according to the length of the historical order data from the current time, and the longer the current time, the lower the weight.
Step S102: and selecting candidate items from the items contained in the historical order data according to the transaction amount, and selecting candidate associated items with accumulated association degree smaller than or equal to an association degree threshold value from the associated items of the candidate items. The association item of the candidate item is an item having an association degree with the candidate item greater than 0. Preferably, the items with high transaction volume of the user are selected as candidate items, and after one candidate item is selected each time, one or more non-repeated items can be selected as candidate associated items from all associated items of the candidate items according to the association degree.
After selecting a candidate associated article each time, calculating the accumulated association degree, judging whether the accumulated association degree is less than or equal to a set association degree threshold, and if the accumulated association degree is less than or equal to the association degree threshold, continuing to select the next associated article; if the cumulative association is greater than the association threshold, step S103 is performed. Wherein the initial value of the cumulative association degree is 0.
Step S103: calculating the ratio of the order quantity of the candidate item and the candidate related item in the historical order data to the total order quantity, and if the ratio is larger than or equal to a set distribution ratio, determining the candidate item and the candidate related item as a distribution item. Counting the order quantity of candidate articles and candidate associated articles contained in the historical order data, dividing the order quantity by the total order quantity of the historical order data to obtain an order proportion, comparing the proportion with the set shunting proportion, and determining the candidate articles and the candidate associated articles as shunting articles if the proportion is greater than or equal to the shunting proportion; and if the proportion is smaller than the diversion proportion, continuing to select the next candidate item and the candidate associated item of the next candidate item.
Step S104: and judging whether the stock quantity of the shunted articles in the first area of the warehouse reaches the upper limit of replenishment, and if the stock quantity reaches the upper limit of replenishment, shelving the shunted articles newly warehoused to the second area of the warehouse. In the existing warehouse, there is a scenario where multiple areas operate together, and if the production capacity (i.e. the warehouse-out amount per unit time, such as 1000 units/hour) of a certain area exceeds the capacity limit, the order of the area needs to be distributed to other areas. In the step, whether the stock quantity of the shunted articles in the first area reaches the upper limit of replenishment is judged, and if the stock quantity of the shunted articles in the first area reaches the upper limit of replenishment, the shunted articles newly put in storage are put on a second area of a warehouse to reduce the production pressure of the first area.
In the second embodiment, the method for distributing and shelving the storage goods in the embodiment of the present invention is described by taking the example of distributing the order in a certain area to other areas.
Fig. 2 is a schematic main flow chart of a method for shunting stored goods onto a rack according to a second embodiment of the present invention. As shown in fig. 2, the method for shunting and shelving storage articles in the second embodiment of the invention mainly includes the following steps:
step S201: and receiving an externally input shunt ratio and a relevance threshold. The split ratio is a ratio of the number of orders desired to be split to other areas to the total number of orders. Taking the two areas working together as an example, the two areas are subsequently referred to as a first area and a second area respectively, and assuming that orders in the first area need to be diverted to the second area, the diversion ratio is the ratio of the number of orders which are desired to be diverted to the second area to the total number of orders. In the embodiment, the split ratio is represented by R, the correlation threshold is represented by θ, and both R and θ are empirical values, for example, R is 30% and θ is 0.2.
Step S202: and calculating the transaction amount of the items per unit time according to the historical order data and the correlation degree between the items. In the embodiment, the association degree between two items is calculated, and the calculation process is as follows: and counting the number of orders of which the combination of the two articles simultaneously appears in one order, and then carrying out normalization processing, wherein the normalization result is the correlation degree between the two articles. The normalization process divides the number of orders that a combination of two items simultaneously appears in one order by the total order number. A unit time transaction amount such as a daily average sales amount.
Step S203: and initializing a shunting item set. The diverted set of items is used to store the diverted item. In the examples, the diverted set of items is denoted by S. The initial value of S being an empty set, i.e. initialisation
Step S204: and acquiring the current stock quantity of the articles contained in the historical order data, and screening out the articles of which the current stock quantity is less than or equal to the set transaction amount threshold value to obtain a basic article set. In the embodiment, the articles with the current stock quantity lower than T times of the transaction amount per unit time are screened, wherein T is a natural number larger than 0.
Step S205: and sorting the articles in the basic article set according to the sequence of the transaction amount in unit time from high to low, and selecting the current candidate articles from the sorted basic article set. And when selecting the candidate articles, preferentially selecting the articles which are not selected and have the highest transaction amount per unit time. The candidate item selected for the first time is the item with the highest transaction amount in unit time in the basic item set.
Step S206: judging whether the current candidate item is contained in the shunting item set, if not, executing the step S207; if the current candidate item is included in the diverted set of items, step S211 is performed. In the embodiment, S is used for representing the current candidate item, and if S belongs to S, the next candidate item is continuously selected from the sorted basic item set; if it is not
Step S207 is performed.
Step S207: and selecting candidate associated items with accumulated association degrees smaller than or equal to an association degree threshold from the associated items of the current candidate items according to the sequence of the association degrees from high to low. And preferentially selecting the associated article with high association degree, calculating the sum of the association degree (namely the association degree between the selected associated article and the current candidate article) and the previous accumulated association degree as the current accumulated association degree after selecting the associated article each time, and taking the selected associated article as the candidate associated article if the current accumulated association degree is less than or equal to the association degree threshold. The specific implementation of this step is described with respect to fig. 3.
Step S208: and adding the current candidate item and the candidate associated item to the shunting item set, and calculating the ratio of the order quantity of all items in the shunting item set contained in the historical order data to the total order quantity. Adding the current candidate item S and the candidate associated item to S. And counting the order quantity of all the items in the distributed item set in the historical order data, taking the order quantity as a dividend and the total order quantity as a divisor, and calculating the ratio of the order quantity to the total order quantity.
Step S209: judging whether the ratio is larger than or equal to the shunting ratio, and if the ratio is larger than or equal to the shunting ratio, executing a step S210; if the ratio is smaller than the split ratio, step S211 is executed. Counting the order number of the articles in the shunted article set contained in the historical order data, dividing the order number by the total order number of the historical order data to obtain a ratio, comparing the ratio with the shunting ratio R, and if the ratio is more than or equal to the shunting ratio R, completing the selection of the shunted articles; and if the proportion is less than the diversion proportion R, continuing to select the next candidate item.
Step S210: and judging whether the stock quantity of the distributed article concentrated articles in the first area of the warehouse reaches the upper limit of replenishment, and if so, shelving the newly warehoused distributed article concentrated articles in the second area of the warehouse. The replenishment upper limit may be set by an experiential person, or may be calculated based on the number of days of stock turnover of the article and the transaction amount per unit time, and a specific calculation method is shown in example three. Shelving the items which are not contained in the shunting item set in the historical order data and the items which are contained in the shunting item set and do not reach the replenishment upper limit to a first area; and shelving the articles contained in the shunted article set and reaching the upper limit of replenishment to the second area.
Step S211: the next candidate item is selected from the sorted basic item set, and the next candidate item is taken as the current candidate item, and step S206 is executed.
Fig. 3 is a schematic main flow chart of selecting a candidate related item according to a second embodiment of the present invention. As shown in fig. 3, the main process of selecting a candidate related item (i.e., step S207) in the second embodiment of the present invention includes the following steps:
step S301: and obtaining the associated articles of the current candidate article, and sequencing the associated articles according to the sequence of the association degrees from high to low to obtain an associated article list. And acquiring the items with the association degree larger than 0 with the current candidate item as the associated items, and then sorting the items according to the sequence of the association degrees from high to low to obtain an associated item list L.
Step S302: initializing association sets and accumulating association degrees. In the embodiment, the association set is represented by G, and the cumulative association degree is represented by C. The initialization G ═ { s }, C ═ 0.
Step S303: and selecting the current candidate associated item from the associated item list. And when the candidate associated articles are selected each time, preferentially selecting the articles with the highest association degree. The candidate associated item selected for the first time is the item with the highest association degree in the associated item list.
Step S304: judging whether the current candidate associated article is contained in the shunting article set, if the current candidate associated article is not contained in the shunting article set, executing the step S305; if the current candidate associated item is included in the diverted set of items, step S308 is performed. In the embodiment, L represents the current candidate associated item, if L belongs to S, the next candidate associated item is continuously selected from the associated item list L; if it is not
Step S305 is performed.
Step S305: and calculating the sum of the accumulated association degrees and the association degrees corresponding to the current candidate associated articles to obtain a new accumulated association degree. Assuming that the association degree between the current candidate item and the current candidate associated item is a, the new cumulative association degree is C + a.
Step S306: judging whether the new accumulated association degree is less than or equal to the association degree threshold, if so, executing the step S307; otherwise, step S208 is performed. If C + a is not more than theta, executing step S307; if C + a > θ, then step S208 is performed, i.e., the items in the association set G are added to the diverted set S.
Step S307: and adding the current candidate associated item to the association set, updating the accumulated association degree, and executing the step S308. Add l to G, update C ═ C + a.
Step S308: the next candidate related item is selected from the related item list, and the next candidate related item is taken as the current candidate related item, and step S304 is executed.
In the third embodiment, the method for shunting and shelving the articles in the warehouse according to the embodiment of the present invention is described by taking an example that the robot area and the human area work together in the warehouse and orders are shunted from the robot area to the human area.
Fig. 4 is a schematic view illustrating a method of shunting articles onto a shelf according to a third embodiment of the present invention. As shown in fig. 4, in the third embodiment of the present invention, the input data of the method for shunting and shelving storage goods includes basic data and historical order data, where the basic data includes: the distribution proportion, the historical order data time period, the promotion ending date and the inventory turnover days of distributed articles in the robot area; the historical order data includes: order number, item number, and number of items purchased. And inputting the basic data and the historical order data into a device for shunting and shelving the articles in the warehouse, wherein the device can output the article number of the shunted article, the order quantity ratio of the shunted article and the replenishment upper limit of the shunted article in the robot area after processing according to the steps S501 to S512.
In the embodiment, when the warehouse is about to start stock in the vicinity of the item promotion date (such as 6 months, 18 days and 11 months, 11 days), the function of recommending the distribution of the items is started to achieve the aim of distributing the order quantity. For example, for sales promotion of 18 days in 6 months, 5 months and 5 days can be set to start stock, and 6 months and 5 days can be set to finish stock; the promotion ending date is 6 months and 20 days; the historical order data time interval is between 6 months and 1 day in 2018 and 6 months and 20 days in 2018; 50% of orders are distributed to the production of the human area in the days of 6 months and 1 day, 6 months and 18 days to 6 months and 20 days, so that the production pressure of the robot area is reduced.
In addition, if an order contains a plurality of articles, and the articles are partially in the robot area and partially in the human area, merging is needed if the order is to be fulfilled and the order is completely delivered out of the warehouse. The calculation mode of the confluence proportion is as follows:
formula 1 of confluence ratio, number of orders to be joined/total number of orders in warehouse
Fig. 5 is a main flow chart of a method for shunting articles onto a rack according to a third embodiment of the present invention. As shown in fig. 5, the method for shunting and shelving storage articles in the third embodiment of the present invention mainly includes the following steps:
step S501: and receiving externally input basic information and a relevance threshold. The split ratio R, such as 50%, that the operator wishes to split during the system entry promotion; historical order data periods, such as the past 2 months; the end date of the promotion, such as 6 months and 20 days; and the inventory turnover days of the distributed articles in the robot area are 7 days for example.
Step S502: and acquiring historical order data of the historical order data time period specified in the basic information to calculate the transaction amount of the item per unit time and the correlation degree between the two items. In this embodiment, the Unit time transaction amount of the item is the daily average sales amount of each SKU (Stock Keeping Unit) included in the historical order data; the degree of association between two items, i.e., the number of orders for which two SKUs (e.g., SKUA and SKUB) appear in an order at the same time.
Step S503: and initializing the shunting article set S as an empty set.
Step S504: and acquiring the current stock quantity of each SKU contained in the historical order data, and screening out the SKU with the current stock quantity lower than T times of the transaction quantity in unit time.
Step S505: and sorting the residual SKUs in the order of the transaction amount per unit time from high to low, and selecting the current candidate SKU s from the sorting result.
Step S506: judging whether S is contained in S, if so
Then the step is divided into S507; if S ∈ S, step S510 is performed.
Step S507: and acquiring the SKUs with the association degrees larger than 0 with the SKU s, sorting the acquired SKUs from high to low according to the association degrees, and selecting candidate associated item SKUs l with the accumulated association degrees smaller than or equal to the association degree threshold value. The execution principle of this step is detailed in step S301-step S308, and is not described here again.
Step S508: SKU S and SKU l are added to S, and the order quantity ratio of all SKUs in S in the historical order data is calculated. This ratio is the result of dividing the order quantity of all SKUs in S by the total order quantity.
Step S509: judging whether the order quantity ratio is greater than or equal to R, and executing the step S511 if the order quantity ratio is greater than or equal to R; if the order quantity ratio is less than R, step S510 is executed. And selecting the candidate article and the candidate related article with the order quantity ratio smaller than R as the shunting article, so that the confluence proportion of order confluence of the subsequent robot area and the human area can be reduced.
Step S510: and selecting the next candidate SKU from the sorted result, taking the next candidate SKU as the current candidate SKU, and executing the step S506.
Step S511: and taking all the articles in the S as the shunting articles, and determining the replenishment upper limit of the shunting articles according to the basic data and the unit time transaction amount of the shunting articles. For the articles which do not need to be shunted to the human area, the upper limit of replenishment of the articles is automatically adjusted to be infinite, and when the subsequent articles are put in storage, the articles are directly put on the robot area. For the items to be diverted to the human area (i.e., diverted items), the replenishment upper limit is calculated as follows.
The upper limit of replenishment of the distributed article is ((sales promotion end date-current date) + number of days of stock turnover) × transaction amount per unit time of the distributed article equation 2
In a preferred embodiment, the transaction amount per unit time for the diverted items is dynamically updated. After the above-described processing, the replenishment upper limit is gradually lowered as the sales promotion end date is approached. Meanwhile, the stock close to the promotion date is already stored in the robot area, so that the production capacity of the robot area can be met.
Step S512: and outputting the shunting articles and the upper replenishment limit of the shunting articles, and issuing a control instruction for storing the shunting articles in the people area when the stock of the shunting articles in the robot area reaches the upper replenishment limit so as to put the newly warehoused shunting articles on the people area. When the stock quantity of the shunting articles in the robot area reaches the replenishment upper limit, the shunting articles put in storage again are recommended to be put on the person area, so that the articles and the stock are shunted to the person area, orders can be dynamically distributed to the person area for production when the articles and the stock are taken out of the storage, the cooperative operation of the robot area and the person area is realized, and the production pressure of the robot area is reduced.
According to the method for shunting and shelving the stored goods in the warehouse, disclosed by the embodiment of the invention, based on the transaction amount of the goods, the association degree between the goods and the shunting proportion, the goods which are high in transaction amount, related to the goods with high transaction amount and meeting the shunting proportion are preferentially selected as the shunted goods to be shelved to the second area of the warehouse, so that the shunting accuracy and the shunting efficiency are improved, the over-high subsequent confluence proportion is avoided, and the manual work amount is reduced; preferentially selecting the articles with high transaction amount and high association degree as shunting articles, and further improving shunting accuracy; and automatically adjusting the replenishment upper limit of the shunted article based on the difference between the promotion ending date and the current time and the unit time transaction amount of the shunted article, so that the replenishment upper limit close to the promotion ending date is gradually reduced, and the production pressure of the shunted area is reduced.
Fig. 6 is a schematic view of main modules of a device for distribution racking of storage goods according to an embodiment of the present invention. As shown in fig. 6, the device 600 for shunting and shelving storage articles according to the embodiment of the present invention mainly includes:
the calculating module 601 is configured to calculate a transaction amount of the items in a set time period and a correlation degree between the items according to the historical order data. Historical order data of the user on the shopping platform in a period of time (such as in the past month) is obtained from a background database, and in the embodiment, the historical order data can comprise order identification, item number and item quantity. The association degree between the items can be the order number of the combination of a plurality of items appearing in one order at the same time; or may be a normalized order quantity. In a preferred embodiment, the transaction amount may be a transaction amount per unit time, and in the calculation, a weighted calculation may be performed according to the length of the historical order data from the current time, and the longer the current time, the lower the weight.
A selecting module 602, configured to select a candidate item from the items included in the historical order data according to the transaction volume, and select a candidate related item whose cumulative association degree is less than or equal to an association degree threshold from the related items of the candidate item. The association item of the candidate item is an item having an association degree with the candidate item greater than 0. Preferentially selecting the items with high transaction volume of the user as candidate items, and after selecting one candidate item each time, selecting one or more unrepeated items from all the associated items of the candidate items as candidate associated items according to the association degree.
After selecting a candidate associated article each time, calculating the accumulated association degree, judging whether the accumulated association degree is less than or equal to a set association degree threshold, and if the accumulated association degree is less than or equal to the association degree threshold, continuing to select the next associated article; if the cumulative association is greater than the association threshold, the process of determining module 603 is performed. Wherein the initial value of the cumulative association degree is 0.
A determining module 603, configured to calculate a ratio of the order quantity including the candidate item and the candidate related item in the historical order data to a total order quantity, and if the ratio is greater than or equal to a set diversion ratio, determine that the candidate item and the candidate related item are diverted items. Counting the order quantity of candidate articles and candidate associated articles contained in the historical order data, dividing the order quantity by the total order quantity of the historical order data to obtain an occupation ratio, comparing the occupation ratio with the set shunting proportion, and if the occupation ratio is larger than or equal to the shunting proportion, taking the candidate articles and the candidate associated articles as the shunting articles; and if the proportion is smaller than the diversion proportion, continuing to select the next candidate item and the candidate associated item of the next candidate item.
The shelving module 604 is configured to determine whether the stock quantity of the split flow article in the first area of the warehouse reaches an upper limit of replenishment, and if the stock quantity reaches the upper limit of replenishment, shelf the split flow article newly warehoused in the second area of the warehouse. In the existing warehouse, a plurality of areas work together, and if the production capacity of a certain area exceeds the capacity limit, the order of the area needs to be distributed to other areas. The module judges whether the stock of the shunted articles in the first area reaches the upper limit of replenishment, and if the stock of the shunted articles in the first area reaches the upper limit of replenishment, the shunted articles newly put in storage are put on a second area of the warehouse to reduce the production pressure of the first area.
In addition, the device 600 for shunting and shelving the storage articles according to the embodiment of the present invention may further include: a replenishment upper limit calculation module (not shown in fig. 6) for calculating a transaction amount per unit time of the diverted item from the historical order data, and summing a difference between a target time and a current time with a number of inventory turnaround days of the diverted item; and multiplying the summation result by the unit time transaction amount of the shunting articles to obtain the replenishment upper limit of the shunting articles.
As can be seen from the above description, based on the transaction amount of the articles, the association degree between the articles, and the diversion ratio, the articles which have a high transaction amount, are associated with the articles with a high transaction amount, and meet the diversion ratio are preferentially selected as the second areas where the diversion articles are put on the warehouse, so that the diversion accuracy and the diversion efficiency are improved, the subsequent confluence ratio is prevented from being too high, and the manual work amount is reduced; preferentially selecting the articles with high transaction amount and high association degree as shunting articles, and further improving shunting accuracy; and automatically adjusting the replenishment upper limit of the shunted article based on the difference between the promotion ending date and the current time and the unit time transaction amount of the shunted article, so that the replenishment upper limit close to the promotion ending date is gradually reduced, and the production pressure of the shunted area is reduced.
Fig. 7 illustrates an exemplary system architecture 700 of a method of shelving a storage bin distribution or a device of shelving a storage bin distribution to which embodiments of the invention may be applied.
As shown in fig. 7, the system architecture 700 may include terminal devices 701, 702, 703, a network 704, and a server 705. The network 704 serves to provide a medium for communication links between the terminal devices 701, 702, 703 and the server 705. Network 704 may include various connection types, such as wired, wireless communication links, or fiber optic cables, to name a few.
A user may use the terminal devices 701, 702, 703 to interact with a server 705 over a network 704, to receive or send messages or the like. Various communication client applications, such as shopping applications, web browser applications, search applications, instant messaging tools, mailbox clients, social platform software, and the like, may be installed on the terminal devices 701, 702, and 703.
The terminal devices 701, 702, 703 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 705 may be a server providing various services, such as a background management server providing support for input data generated by an administrator using the terminal devices 701, 702, 703. The background management server may analyze and otherwise process the received basic information and the relevance threshold, and feed back a processing result (e.g., an article number of the classified article, an upper limit of replenishment, and the like) to the terminal device.
It should be noted that the method for shunting and shelving storage articles provided in the embodiments of the present application is generally performed by the server 705, and accordingly, the device for shunting and shelving storage articles is generally disposed in the server 705.
It should be understood that the number of terminal devices, networks, and servers in fig. 7 is merely illustrative. There may be any number of terminal devices, networks, and servers, as desired for implementation.
The invention also provides an electronic device and a computer readable medium according to the embodiment of the invention.
The electronic device of the present invention includes: one or more processors; 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 realize the method for shunting and shelving the storage articles according to the embodiment of the invention.
The computer readable medium of the present invention has stored thereon a computer program which, when executed by a processor, implements a method of racking a warehouse item according to an embodiment of the present invention.
Referring now to FIG. 8, shown is a block diagram of a computer system 800 suitable for use with a terminal device implementing an embodiment of the present invention. The terminal device shown in fig. 8 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. 8, the computer system 800 includes a Central Processing Unit (CPU)801 that can perform various appropriate actions and processes in accordance with a program stored in a Read Only Memory (ROM)802 or a program loaded from a storage section 808 into a Random Access Memory (RAM) 803. In the RAM 803, various programs and data necessary for the operation of the system 800 are also stored. The CPU 801, ROM 802, and RAM 803 are connected to each other via a bus 804. An input/output (I/O) interface 805 is also connected to bus 804.
The following components are connected to the I/O interface 805: an input portion 806 including a keyboard, a mouse, and the like; an output section 807 including a signal such as a Cathode Ray Tube (CRT), a Liquid Crystal Display (LCD), and the like, and a speaker; a storage portion 808 including a hard disk and the like; and a communication section 809 including a network interface card such as a LAN card, a modem, or the like. The communication section 809 performs communication processing via a network such as the internet. A drive 810 is also connected to the I/O interface 805 as necessary. A removable medium 811 such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, or the like is mounted on the drive 810 as necessary, so that a computer program read out therefrom is mounted on the storage section 808 as necessary.
In particular, the processes described above with respect to the main step diagrams may be implemented as computer software programs, according to embodiments of the present disclosure. 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 can be downloaded and installed from a network through the communication section 809 and/or installed from the removable medium 811. The computer program executes the above-described functions defined in the system of the present invention when executed by the Central Processing Unit (CPU) 801.
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 principal step diagrams 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 comprises a calculation module, a selection module, a determination module and a shelving module. Where the names of these modules do not in some cases constitute a limitation on the unit itself, for example, the calculation module may also be described as a "module that calculates the transaction amount of an item over a set period of time from historical order data, and the degree of association between items".
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: calculating the transaction amount of the articles in a set time period according to historical order data and the correlation degree between the articles; selecting candidate items from the items contained in the historical order data according to the transaction amount, and selecting candidate associated items with accumulated association degree smaller than or equal to an association degree threshold value from the associated items of the candidate items; calculating the ratio of the order quantity of the candidate item and the candidate related item in the historical order data to the total order quantity, and if the ratio is larger than or equal to a set distribution ratio, determining the candidate item and the candidate related item as a distribution item; and judging whether the stock quantity of the shunted articles in the first area of the warehouse reaches the upper limit of replenishment, and if the stock quantity reaches the upper limit of replenishment, shelving the shunted articles newly warehoused to the second area of the warehouse.
From the above description, it can be seen that, based on the transaction amount of the articles, the association degree between the articles, and the diversion ratio, the articles which are high in transaction amount, are associated with the articles with high transaction amount, and meet the diversion ratio are preferentially selected as the second areas where the diverted articles are put on the warehouse, so that the diversion accuracy and the diversion efficiency are improved, meanwhile, the subsequent confluence ratio is prevented from being too high, and the manual work amount is reduced.
The product can execute the method provided by the embodiment of the invention, and has corresponding functional modules and beneficial effects of the execution method. For technical details that are not described in detail in this embodiment, reference may be made to the method provided by the embodiment of the present invention.
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 (10)
1. A method of racking a stored item in a diversion manner, comprising:
calculating the transaction amount of the articles in a set time period according to historical order data and the correlation degree between the articles;
selecting candidate items from the items contained in the historical order data according to the transaction amount, and selecting candidate associated items with accumulated association degree smaller than or equal to an association degree threshold value from the associated items of the candidate items;
calculating the ratio of the order quantity of the candidate item and the candidate related item in the historical order data to the total order quantity, and if the ratio is larger than or equal to a set shunting ratio, determining the candidate item and the candidate related item as a shunting item;
and judging whether the stock quantity of the shunted articles in the first area of the warehouse reaches the upper limit of replenishment, and if the stock quantity reaches the upper limit of replenishment, shelving the shunted articles newly warehoused to the second area of the warehouse.
2. The method of claim 1, wherein calculating the degree of association between items comprises:
and counting the order quantity of a plurality of articles appearing in the same order of the historical order data, and taking the order quantity or the normalized order quantity as the correlation degree among the plurality of articles.
3. The method of claim 1, wherein selecting candidate items from the items included in the historical order data according to the transaction volume, and selecting candidate related items having a cumulative association degree less than or equal to an association degree threshold from the related items of the candidate items comprises:
initializing a split commodity set, wherein the split commodity set is used for storing the split commodities;
sequentially selecting current candidate items from the items contained in the historical order data according to the sequence of the transaction amount of the items from high to low, and taking the selected current candidate items as the candidate items;
and if the current candidate item selected each time is not contained in the shunting item set, selecting candidate associated items with accumulated association degree smaller than or equal to an association degree threshold value from the associated items of the current candidate item according to the sequence from high association degree to low association degree.
4. The method according to claim 3, wherein selecting the candidate associated items with accumulated association degree less than or equal to the association degree threshold from the associated items of the current candidate item according to the order of the association degree from high to low comprises:
selecting a current associated item from the associated items of the current candidate item according to the sequence of the association degrees from high to low;
and (3) judging: if the current associated item is not contained in the shunting item set, judging whether the sum of the association degree of the current candidate item and the current associated item and the accumulated association degree is less than or equal to an association degree threshold value; wherein the initial value of the cumulative association degree is 0;
updating: if the sum is less than or equal to the relevance threshold, updating the accumulated relevance to be the sum, and selecting a next relevant item from the relevant items of the current candidate item;
and taking the next associated article as the current associated article, repeatedly executing the judging step and the updating step until the sum is greater than the association degree threshold value, and taking all the selected associated articles as candidate associated articles.
5. The method of claim 1, further comprising:
calculating the unit time transaction amount of the shunting articles according to the historical order data, and summing the difference value between the target time and the current time and the inventory turnover days of the shunting articles;
and multiplying the summation result by the unit time transaction amount of the shunting articles to obtain the replenishment upper limit of the shunting articles.
6. The method according to any one of claims 1 to 5, further comprising:
comparing the inventory of the articles contained in the historical order data with the size of a set transaction amount threshold value to screen out the articles of which the inventory is greater than the transaction amount threshold value;
selecting candidate items from the items contained in the historical order data according to the transaction volume, wherein the selecting candidate items comprises the following steps:
and selecting candidate items from the screened items according to the transaction amount.
7. The utility model provides a device that warehouse article reposition of redundant personnel put on shelf which characterized in that includes:
the calculation module is used for calculating the transaction amount of the articles in a set time period and the correlation degree between the articles according to the historical order data;
the selecting module is used for selecting candidate items from the items contained in the historical order data according to the transaction amount, and selecting candidate related items of which the accumulated relevance is less than or equal to a relevance threshold from related items of the candidate items;
the determining module is used for calculating the ratio of the order quantity of the candidate item and the candidate related item in the historical order data to the total order quantity, and if the ratio is larger than or equal to a set shunting ratio, determining the candidate item and the candidate related item as a shunting item;
and the racking module is used for judging whether the stock quantity of the shunted articles in the first area of the warehouse reaches the upper limit of replenishment, and if the stock quantity reaches the upper limit of replenishment, racking the shunted articles newly put in the warehouse to the second area of the warehouse.
8. The apparatus of claim 7, further comprising: a replenishment upper limit calculation module for
Calculating the unit time transaction amount of the shunting articles according to the historical order data, and summing the difference value between the target time and the current time and the inventory turnover days of the shunting articles;
and multiplying the summation result by the unit time transaction amount of the shunting articles to obtain the replenishment upper limit of the shunting articles.
9. 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 1-6.
10. 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 1-6.
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