CN112950240A - Distribution method and device - Google Patents

Distribution method and device Download PDF

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CN112950240A
CN112950240A CN201911174349.6A CN201911174349A CN112950240A CN 112950240 A CN112950240 A CN 112950240A CN 201911174349 A CN201911174349 A CN 201911174349A CN 112950240 A CN112950240 A CN 112950240A
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warehouse
advertisement
materials
target
advertisement materials
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CN112950240B (en
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王振明
孙志玮
赵彦
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Beijing Wodong Tianjun Information Technology Co Ltd
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Beijing Wodong Tianjun Information Technology Co Ltd
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    • G06Q10/087—Inventory or stock management, e.g. order filling, procurement or balancing against orders
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    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00—Commerce
    • G06Q30/02—Marketing; Price estimation or determination; Fundraising
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Abstract

The invention discloses a distribution method and a distribution device, and relates to the technical field of warehouse logistics. One embodiment of the method comprises: acquiring the estimated demand of each warehouse on the advertising materials in the warehouse set, the maximum processing capacity of each warehouse on the advertising materials and the selection cost of each warehouse; determining a target warehouse set and the quantity of the advertisement materials distributed to each target warehouse in the target warehouse set according to the cost of the advertisement materials, the preset quantity of the advertisement materials, the estimated demand of each warehouse on the advertisement materials, the maximum processing quantity of each warehouse on the advertisement materials and the selection cost of each warehouse; wherein the warehouse set contains the target warehouse set. This embodiment reduces the distribution cost of the advertising material.

Description

Distribution method and device
Technical Field
The invention relates to the technical field of warehouse logistics, in particular to a distribution method and a distribution device.
Background
The logistics advertisement is to distribute advertisement materials to the warehouse, so that the advertisement is delivered to the user through the warehouse. The existing distribution method includes: through the experience of the staff, the user is manually determined through which warehouse the advertisement is delivered to the user, and how much advertisement material is distributed to the warehouse.
In the process of implementing the invention, the inventor finds that at least the following problems exist in the prior art:
because the manual computing capacity is limited and the considered factors are few, the warehouses are easy to select by mistake or too many advertisement materials are distributed to some warehouses, so that the advertisement delivery is incomplete, the distribution cost is high, and the distribution accuracy is not high. And too many warehouses may be selected, which is costly and aggravates distribution costs.
Disclosure of Invention
In view of this, embodiments of the present invention provide a distribution method and apparatus, so as to improve distribution accuracy and reduce distribution cost of advertisement materials.
To achieve the above object, according to an aspect of an embodiment of the present invention, a distribution method is provided.
The distribution method of the embodiment of the invention comprises the following steps:
acquiring the estimated demand of each warehouse on the advertising materials in the warehouse set, the maximum processing capacity of each warehouse on the advertising materials and the selection cost of each warehouse;
determining a target warehouse set and the quantity of the advertisement materials distributed to each target warehouse in the target warehouse set according to the cost of the advertisement materials, the preset quantity of the advertisement materials, the estimated demand of each warehouse on the advertisement materials, the maximum processing quantity of each warehouse on the advertisement materials and the selection cost of each warehouse;
wherein the warehouse set contains the target warehouse set.
In one embodiment, determining a target warehouse set and a quantity of advertising materials distributed to each target warehouse in the target warehouse set according to the advertising material cost, the preset quantity of advertising materials, the estimated demand of each warehouse for advertising materials, the maximum throughput of each warehouse for advertising materials, and the selection cost of each warehouse comprises:
for each warehouse, determining the unprocessed quantity of the advertisement materials of the warehouse according to the estimated demand of the warehouse for the advertisement materials, the maximum processing quantity of the warehouse for the advertisement materials and the quantity of the advertisement materials distributed to the warehouse; multiplying the unprocessed amount by the cost of the advertising materials to obtain a product, and taking the sum of the product and the selection cost of the warehouse as the cost of the warehouse;
satisfying constraint conditions and minimizing the sum of the costs of all warehouses so as to determine a target warehouse set and the quantity of the advertisement materials distributed to each target warehouse in the target warehouse set;
the constraint conditions include: the sum of the quantity of the advertisement materials distributed to each warehouse is equal to the preset quantity of the advertisement materials; the quantity of the advertisement materials distributed to the warehouse is less than or equal to the maximum processing quantity of the advertisement materials of the warehouse; if the warehouse is the target warehouse, the number of the advertisement materials distributed to the warehouse is greater than or equal to 1; if the warehouse is not the target warehouse, the number of the advertisement materials distributed to the warehouse is equal to 0.
In one embodiment, determining the amount of unprocessed advertisement material by the warehouse based on the estimated demand for advertisement material by the warehouse, the maximum throughput of advertisement material by the warehouse, and the amount of advertisement material distributed to the warehouse comprises:
selecting a minimum number from the estimated demand of the warehouse for the advertising materials and the maximum processing capacity of the warehouse for the advertising materials as a first number;
judging whether the quantity of the advertisement materials distributed to the warehouse is larger than the first quantity or not, if so, taking the difference value between the quantity of the advertisement materials distributed to the warehouse and the first quantity as the unprocessed quantity of the advertisement materials of the warehouse; if not, taking 0 as the unprocessed amount of the warehouse to the advertisement materials.
In one embodiment, the method for obtaining the estimated demand of the warehouse for the advertising materials comprises the following steps:
determining a historical time set according to the advertisement putting time;
for each historical time in the historical time set, acquiring an identifier of an order processed by the warehouse in the historical time, and determining the required amount of the advertising materials in the historical time by the warehouse according to the identifier of the order and a preset user set;
and calculating the demand of the warehouse for the advertisement materials in the advertisement putting time according to the demand of the warehouse for the advertisement materials in each historical time, and taking the demand as the estimated demand of the warehouse for the advertisement materials.
In one embodiment, determining the demand of the warehouse for the advertising material in the historical time according to the identification of the order and a preset user set comprises:
determining a user set to which the order belongs according to the identifier of the order, and taking the intersection of the user set to which the order belongs and a preset user set as a target user set;
and directly taking the number of the target users in the target user set as the required amount of the warehouse for the advertisement material in the historical time, or performing duplicate removal on the target users in the target user set, and taking the number of the target users in the target user set after the duplicate removal as the required amount of the warehouse for the advertisement material in the historical time.
In one embodiment, the constraints further include:
each designated warehouse in the designated warehouse set is the target warehouse;
for each appointed warehouse, the quantity of the advertisement materials distributed to the appointed warehouse is larger than the preset distribution quantity of the appointed warehouse; or the ratio of the sum of the quantity of the advertisement materials distributed to each specified warehouse to the preset quantity of the advertisement materials is greater than or equal to a preset ratio;
the specified warehouse is a warehouse of which the estimated demand for the advertising materials is greater than the first demand, and the area to which the order processed by the warehouse belongs is in a preset area.
To achieve the above object, according to another aspect of an embodiment of the present invention, there is provided a dispensing apparatus.
A distribution device of an embodiment of the present invention includes:
the system comprises an acquisition unit, a storage unit and a processing unit, wherein the acquisition unit is used for acquiring the estimated demand of each warehouse on the advertising materials in the warehouse set, the maximum processing capacity of each warehouse on the advertising materials and the selection cost of each warehouse;
the processing unit is used for determining a target warehouse set and the quantity of the advertisement materials distributed to each target warehouse in the target warehouse set according to the cost of the advertisement materials, the preset quantity of the advertisement materials, the estimated demand of each warehouse on the advertisement materials, the maximum processing quantity of each warehouse on the advertisement materials and the selection cost of each warehouse; wherein the warehouse set contains the target warehouse set.
In one embodiment, the processing unit is to:
for each warehouse, determining the unprocessed quantity of the advertisement materials of the warehouse according to the estimated demand of the warehouse for the advertisement materials, the maximum processing quantity of the warehouse for the advertisement materials and the quantity of the advertisement materials distributed to the warehouse; multiplying the unprocessed amount by the cost of the advertising materials to obtain a product, and taking the sum of the product and the selection cost of the warehouse as the cost of the warehouse;
satisfying constraint conditions and minimizing the sum of the costs of all warehouses so as to determine a target warehouse set and the quantity of the advertisement materials distributed to each target warehouse in the target warehouse set;
the constraint conditions include: the sum of the quantity of the advertisement materials distributed to each warehouse is equal to the preset quantity of the advertisement materials; the quantity of the advertisement materials distributed to the warehouse is less than or equal to the maximum processing quantity of the advertisement materials of the warehouse; if the warehouse is the target warehouse, the number of the advertisement materials distributed to the warehouse is greater than or equal to 1; if the warehouse is not the target warehouse, the number of the advertisement materials distributed to the warehouse is equal to 0.
In one embodiment, the processing unit is to:
selecting a minimum number from the estimated demand of the warehouse for the advertising materials and the maximum processing capacity of the warehouse for the advertising materials as a first number;
judging whether the quantity of the advertisement materials distributed to the warehouse is larger than the first quantity or not, if so, taking the difference value between the quantity of the advertisement materials distributed to the warehouse and the first quantity as the unprocessed quantity of the advertisement materials of the warehouse; if not, taking 0 as the unprocessed amount of the warehouse to the advertisement materials.
In one embodiment, the obtaining unit is configured to:
determining a historical time set according to the advertisement putting time;
for each historical time in the historical time set, acquiring an identifier of an order processed by the warehouse in the historical time, and determining the required amount of the advertising materials in the historical time by the warehouse according to the identifier of the order and a preset user set;
and calculating the demand of the warehouse for the advertisement materials in the advertisement putting time according to the demand of the warehouse for the advertisement materials in each historical time, and taking the demand as the estimated demand of the warehouse for the advertisement materials.
In one embodiment, the obtaining unit is configured to:
determining a user set to which the order belongs according to the identifier of the order, and taking the intersection of the user set to which the order belongs and a preset user set as a target user set;
and directly taking the number of the target users in the target user set as the required amount of the warehouse for the advertisement material in the historical time, or performing duplicate removal on the target users in the target user set, and taking the number of the target users in the target user set after the duplicate removal as the required amount of the warehouse for the advertisement material in the historical time.
In one embodiment, the constraints further include:
each designated warehouse in the designated warehouse set is the target warehouse;
for each appointed warehouse, the quantity of the advertisement materials distributed to the appointed warehouse is larger than the preset distribution quantity of the appointed warehouse; or the ratio of the sum of the quantity of the advertisement materials distributed to each specified warehouse to the preset quantity of the advertisement materials is greater than or equal to a preset ratio;
the specified warehouse is a warehouse of which the estimated demand for the advertising materials is greater than the first demand, and the area to which the order processed by the warehouse belongs is in a preset area.
To achieve the above object, according to still another aspect of an embodiment of the present invention, there is provided an electronic apparatus.
An electronic device 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 distribution method provided by the embodiment of the invention.
To achieve the above object, according to still another aspect of an embodiment of the present invention, there is provided a computer-readable medium.
A computer-readable medium of an embodiment of the present invention has a computer program stored thereon, and the program, when executed by a processor, implements a distribution method provided by an embodiment of the present invention.
One embodiment of the above invention has the following advantages or benefits: according to the factors of the cost of the advertisement materials, the preset quantity of the advertisement materials, the estimated demand of each warehouse for the advertisement materials, the maximum processing capacity of each warehouse for the advertisement materials and the selection cost of each warehouse, distribution is carried out, so that the advertisement materials are distributed by integrating various factors, the distribution accuracy is improved, the cost factor is considered during distribution, and the distribution cost of the advertisement materials 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 diagram of a main flow of a distribution method according to an embodiment of the present invention;
FIG. 2 is an application example of a distribution method according to an embodiment of the present invention;
fig. 3 is another application example of the distribution method according to the embodiment of the present invention;
fig. 4 is an example of determining a set of historical times in a distribution method according to an embodiment of the present invention;
FIG. 5 is a schematic diagram of the main elements of a dispensing apparatus according to an embodiment of the invention;
FIG. 6 is an exemplary system architecture diagram in which embodiments of the present invention may be employed;
fig. 7 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.
It should be noted that the embodiments and features of the embodiments may be combined with each other without conflict.
The logistics advertisement becomes a new advertisement form, and compared with the traditional advertisement, the logistics advertisement has the characteristics of customizable target population, high conversion rate and the like.
With the diversification of product types, particularly in an online and offline big data precise orientation environment, it is more difficult to realize an optimized distribution mode by manpower, and the distribution cost is higher.
In order to solve the problems in the prior art, an embodiment of the present invention provides a distribution method, as shown in fig. 1, the method includes:
s101, obtaining the estimated demand of each warehouse on the advertisement materials in the warehouse set, the maximum processing capacity of each warehouse on the advertisement materials and the selection cost of each warehouse.
Step S102, determining a target warehouse set and the quantity of the advertisement materials distributed to each target warehouse in the target warehouse set according to the cost of the advertisement materials, the preset quantity of the advertisement materials, the estimated demand of each warehouse on the advertisement materials, the maximum processing quantity of each warehouse on the advertisement materials and the selection cost of each warehouse; wherein the warehouse set contains the target warehouse set.
In this embodiment, the logistics advertisements include consumable type advertisements and on-bin type advertisements. The consumable advertisement refers to an advertisement attached to a packaging box or a packaging bag. The advertisement with the warehouse is an advertisement attached to a direct mail list (MD list, paper put in a package), a package sticker, a small gift or a surface sticker (surface sticker: a carrier containing user information, warehouse information and order information) and the like. The advertising material may include any one of a packing box, a packing bag, a direct mailing label, a parcel post, a mini gift, or a face sticker.
In addition, the production cost of the packaging box, the packaging bag, the direct mailing label, the packaging label or the face label is different, the advertising value is different, and if one single advertisement is not put, one cost is increased. Thus, the cost of the advertising material is considered in distribution, thereby reducing distribution costs. The cost of the advertisement material is the production cost of a single advertisement material plus the value of the advertisement to which the advertisement material belongs.
Moreover, if more warehouses are selected, although the advertisement placement can be guaranteed to be completed, additional transportation cost, training cost and the like are brought. Therefore, the selection cost of the warehouse is considered in distribution, thereby reducing the distribution cost. The selection cost of the warehouse is the transportation cost from the production place of the advertisement materials to the warehouse, the area occupied by the advertisement materials in the warehouse and the turnover of the advertisement materials. It should be noted that the cost of selecting the warehouse is determined by the business side. The further the advertising materials are from the production site to the warehouse, the higher the cost of selection of the warehouse.
Specifically, as shown in fig. 2, advertisement campaign information, warehousing information, and cost information are collected by the data collection module, and the advertisement campaign information includes a preset number of advertisement materials (i.e., a planned total put amount in the graph), an advertisement putting time (i.e., an activity date range in the graph), an advertisement receiving area (i.e., a target receiving area in the graph), a candidate putting warehouse set (i.e., a candidate putting bin in the graph), and an advertisement mode (i.e., a consumable activity type and mode in the graph). The warehousing information includes the daily maximum throughput of advertising materials by the warehouse (i.e., capacity in the graph) and the region to which the order processed by the warehouse belongs (i.e., region in the graph). The cost information includes the cost of the ad material (i.e., the loss of each individual ad in the graph that is not placed) and the cost of selection of the warehouse (i.e., the cost of placement selection for each bin in the graph). The use of the various information collected by the data collection module will be described below.
If the advertisement campaign information includes the advertisement receiving area and the candidate delivery warehouse set, at least two warehouses in the advertisement receiving area of the area to which the orders processed by the warehouses belong are used as the candidate warehouse set, and the intersection of the candidate warehouse set and the candidate delivery warehouse set is used as the warehouse set of the embodiment.
If the advertisement campaign information includes the advertisement receiving area, at least two warehouses with areas in the advertisement receiving area to which the warehoused processed orders belong are taken as warehouse sets of the embodiment. For example, the advertisement receiving area includes south China, the area to which the order processed by the 100001 warehouse belongs includes Guangdong province, and the area to which the order processed by the 100002 warehouse belongs includes Guangxi province. Thus, the warehouse set for this embodiment includes a 100001 warehouse and a 100002 warehouse. It should be noted that the receiving address of the order is in the advertisement receiving area, and the user to which the order belongs may receive the advertisement.
If the ad campaign information includes a candidate delivery warehouse set, then the candidate delivery warehouse set is taken as the warehouse set of this embodiment.
It should be noted that the maximum processing amount of the advertisement material by the warehouse refers to the maximum processing amount of the advertisement material by the warehouse within the advertisement putting time.
In this embodiment of the present invention, step S102 may include:
for each warehouse, determining the unprocessed quantity of the advertisement materials of the warehouse according to the estimated demand of the warehouse for the advertisement materials, the maximum processing quantity of the warehouse for the advertisement materials and the quantity of the advertisement materials distributed to the warehouse; multiplying the unprocessed amount by the cost of the advertising materials to obtain a product, and taking the sum of the product and the selection cost of the warehouse as the cost of the warehouse;
satisfying constraint conditions and minimizing the sum of the costs of all warehouses so as to determine a target warehouse set and the quantity of the advertisement materials distributed to each target warehouse in the target warehouse set;
the constraint conditions include: the sum of the quantity of the advertisement materials distributed to each warehouse is equal to the preset quantity of the advertisement materials; the quantity of the advertisement materials distributed to the warehouse is less than or equal to the maximum processing quantity of the advertisement materials of the warehouse; if the warehouse is the target warehouse, the number of the advertisement materials distributed to the warehouse is greater than or equal to 1; if the warehouse is not the target warehouse, the number of the advertisement materials distributed to the warehouse is equal to 0.
In this embodiment, as shown in fig. 2, the decision optimization module determines the target warehouse set and the number of advertisement materials distributed to each target warehouse in the target warehouse set according to the content described in this embodiment.
As shown in fig. 3, the objective function is the total cost, the optimization direction is the minimization, and the expression of the objective function is:
Figure BDA0002289583120000091
the constraint conditions include:
∑iyimeaning S ═ S: the sum of the quantity of the advertisement materials distributed to each warehouse in the warehouse set is equal to the preset quantity of the advertisement materials;
yi≤Pit means for all i &: the number of the advertisement materials distributed to the i is smaller than the maximum processing capacity of the i on the advertisement materials;
yi≤Mxifor all i (c)
yi≥xiFor all i &
xiE {0,1} has for all i #meanings: if i is the target warehouse, xi is 1; if i is not the target warehouse, xi is 0;
yinot less than 0 for all i: the number of advertisement materials distributed to i is greater than or equal to 0;
where (yi-Ci) +, equals max (0, yi-Ci). S represents a preset amount of advertisement material. M is a number greater than S, for example, M ═ 1.5S. Alpha represents the advertising material cost. i represents any warehouse in the warehouse set. Ci denotes the first number. β i represents the selection cost of i. yi represents the amount of advertising material distributed to i.
The expression of Ci:
Ci＝min(Di,PiT)
the meaning of Ci is the minimum number of Di and PiT, Ci > 0. PiT represents the maximum throughput of i on the advertising material. T represents the number of days of placement of the advertisement. Pi represents the daily average maximum throughput of i pairs of advertising material. Pi may be set according to the respective properties of i. Di represents the estimated demand of i for the advertisement material (the acquisition of Di is described in detail below and will not be described here).
And determining the number of days for putting the advertisement according to the putting time of the advertisement. For example, the time of delivery of the advertisement: t is 7 days from 26 months 8 in 2019 to 1 month 9 in 2019.
The expression of Ci is such because the maximum throughput of advertising material by some warehouses is adjusted over time. For example, the adjustment is made for the reason of traffic adjustment and the like. The fact that PiT is smaller than Di may occur, and if PiT is not considered when determining the number of the advertisement materials distributed to the warehouse, too many advertisement materials may be distributed to the warehouse, so that the advertisement delivery of the warehouse is not completed, the purpose of minimizing cost cannot be achieved, and the distribution cost is increased.
To say thatIt is clear that (c) and (d) are equivalent to y if i is the target warehouseiNot less than 1; if i is not the target warehouse, yi0. Therefore, the situation that i is the target warehouse and the quantity of the advertisement materials distributed to i is equal to 0 does not occur, and the situation that i is not the target warehouse and the quantity of the advertisement materials distributed to i is larger than 0 does not occur. The accuracy of distribution is further improved.
The constraint condition is satisfied, the sum of the costs of the warehouses is minimized, and calculation is performed by adopting an integer programming technology in the field of solver or operation and research optimization, so that a target warehouse set (namely, the putting bin suggestion in fig. 3, the target warehouse set comprises at least one target warehouse) and the number of the advertising materials distributed to each target warehouse in the target warehouse set (namely, the putting amount suggestion in fig. 3) are determined.
The solver comprises: a plan solving module in Excel, MATLAB, Python (PuLP package, cvxpy package, etc.), R (Rsymphony package), Lingo, Gurobi or CPLEX, etc.
It should be noted that the principle of this embodiment is as follows: find the optimal x and y such that each warehouse in the warehouse set has an unprocessed cost (i.e., α (y)) for the advertising materiali-Ci)+) And the cost of selection per warehouse (i.e.. beta.)ixi) The sum is minimal. The unprocessed cost of the warehouse to the advertisement material is equal to the unprocessed amount of the warehouse to the advertisement material multiplied by the cost of the advertisement material. The sum of the unprocessed cost of each warehouse in the warehouse set on the advertisement material is equal to the cost caused by the advertisement which is not put completely.
In the embodiment, various factors are integrated to distribute the advertising materials, so that the distribution accuracy is further improved. The distribution premise is that the sum of the cost of each warehouse is minimum, and the distribution cost of the advertising materials is further reduced. The number of the advertisement materials distributed to the warehouse is smaller than the maximum processing capacity of the warehouse for the advertisement materials, the situation that advertisement putting is not completed is reduced, and the distribution cost is further reduced.
In an embodiment of the present invention, determining the unprocessed amount of the advertisement material by the warehouse according to the estimated demand of the warehouse for the advertisement material, the maximum processing amount of the advertisement material by the warehouse, and the number of the advertisement materials distributed to the warehouse includes:
selecting a minimum number from the estimated demand of the warehouse for the advertising materials and the maximum processing capacity of the warehouse for the advertising materials as a first number;
judging whether the quantity of the advertisement materials distributed to the warehouse is larger than the first quantity or not, if so, taking the difference value between the quantity of the advertisement materials distributed to the warehouse and the first quantity as the unprocessed quantity of the advertisement materials of the warehouse; if not, taking 0 as the unprocessed amount of the warehouse to the advertisement materials.
It should be noted that the specific implementation manner of this embodiment is described in detail above, and is not described herein again.
In this embodiment, the number of advertisement materials distributed to the warehouse is determined based on the maximum processing amount of the advertisement materials by the warehouse and the estimated demand of the warehouse for the advertisement materials, and compared with the case that the advertisement materials are determined based on the estimated demand of the warehouse for the advertisement materials, the advertisement placement is reduced, and the distribution cost is further reduced.
In an embodiment of the present invention, the method for obtaining the estimated demand of the warehouse for the advertisement material includes:
determining a historical time set according to the advertisement putting time;
for each historical time in the historical time set, acquiring an identifier of an order processed by the warehouse in the historical time, and determining the required amount of the advertising materials in the historical time by the warehouse according to the identifier of the order and a preset user set;
and calculating the demand of the warehouse for the advertisement materials in the advertisement putting time according to the demand of the warehouse for the advertisement materials in each historical time, and taking the demand as the estimated demand of the warehouse for the advertisement materials.
In this embodiment, as shown in fig. 4, the following describes a specific example of determining the historical time set according to the advertisement delivery time:
step S401, determining a starting time T1 and an ending time T2 according to the advertisement putting time, determining the number Z of historical times in a historical time set, and setting the initial value of a factor L to be 1.
Step S402, judge whether T2-7 xL is smaller than T1.
If so, step S404 is executed, otherwise, step S403 is executed, and after step S403 is executed, the process returns to step S402.
And step S403, adding 1 to L to obtain L.
Step S404, outputting Z historical times: t1 ═ T1-7 × Z × L, T2 ═ T2-7 × Z × L. In the formula of this step, L is T2-7 XL < L1, and Z is a positive integer between 1 and Z, including 1 and Z, respectively.
Example 1: t1: 26 months 8 in 2019; t2: year 2019, month 9 and day 1. And Z is 2.
T2-7 × 1< T1, so one history time in the history time set: 12 months in 2019 to 18 months in 2019; another historical time in the historical time set: 19/8/2019 to 25/8/2019.
Example 2: t1: 29 months 5 in 2019; t2: 6.6.6.2019. And Z is 2.
When L is 1, T2-7 × 1> T1.
L plus 1 is taken as L.
When L is 2, T2-7 × 2< T1, so one history time in the history time set: from 15 months 5 in 2019 to 23 months 5 in 2019, another historical time in the set of historical times: 1/5/2019 to 9/5/2019.
It should be understood that the set of historical times may include a plurality of historical times. In addition, since the day of the week has an effect on the number of orders, there is no overlap of each historical time in the set of historical times. Of course, the closer the historical time set is to the advertisement serving time, the more accurate the obtained estimated demand of the warehouse for the advertisement material.
The preset user set is determined according to the characteristics of advertisement putting crowd. For example, if the advertisement delivery crowd is characterized by women aged 20 to 25, a plurality of users aged 20 to 25 who are female in gender are taken as a preset user set.
And calculating the average value of the demand of the warehouse for the advertisement materials in each historical time, and taking the obtained numerical value as the demand of the warehouse for the advertisement materials in the advertisement putting time. The average calculation includes a weighted average calculation, a squared average calculation, or a geometric average calculation, etc. And calculating the demand of the warehouse for the advertisement materials in each historical time by adopting a time sequence or a machine learning technology to obtain the demand of the warehouse for the advertisement materials in the advertisement putting time.
The basic idea of this embodiment: and estimating the demand of the warehouse for the advertising materials in the advertisement putting time based on the demand of the warehouse for the advertising materials in the historical time. For example, the demand of the warehouse for the advertising materials in the period from 8/12/2019 to 8/18/2019 is 90, the demand of the warehouse for the advertising materials in the period from 8/19/2019 to 8/25/2019 is 100, and the demand of the warehouse for the advertising materials in the period from 8/26/2019 to 9/1/2019 is 95(95 ═ 90+ 100)/2).
In the embodiment, the demand of the warehouse for the advertisement materials in the advertisement putting time is calculated based on the demand of the warehouse for the advertisement materials in each historical time, the estimated demand of the warehouse for the advertisement materials is accurate, and the distribution accuracy is further improved. The demand of the warehouse for the advertisement materials in the historical time is determined based on the identification of the orders processed by the warehouse in the historical time and a preset user set, so that the advertisement is put in according to the preset user set, namely an advertisement audience group, and the distribution accuracy is further improved.
In the embodiment of the present invention, determining the required amount of the advertisement material in the warehouse in the historical time according to the identifier of the order and a preset user set includes:
determining a user set to which the order belongs according to the identifier of the order, and taking the intersection of the user set to which the order belongs and a preset user set as a target user set;
and directly taking the number of the target users in the target user set as the required amount of the warehouse for the advertisement material in the historical time, or performing duplicate removal on the target users in the target user set, and taking the number of the target users in the target user set after the duplicate removal as the required amount of the warehouse for the advertisement material in the historical time.
In this embodiment, in specific implementation, as shown in fig. 2, the data collection module further collects a preset user set (i.e., target population data in the figure) and an identifier of an order processed by the warehouse within a historical time (i.e., historical warehouse data and historical order data in the figure, and determines the identifier of the order processed by the warehouse within the historical time according to an order ID included in the historical warehouse data, a packaging time included in the historical warehouse data, an order ID included in the historical order data, and a user ID included in the historical order data).
A hit number estimation module determines a demand of the warehouse for advertising materials within the historical time:
the identification of the order (which may be an order ID) that the warehouse packaged during the historical time is obtained from the data collection module. Specifically, the identifier of the order packed in the historical time by the warehouse is obtained according to the order ID, the packing time and the historical time.
And determining a user set to which the order belongs according to the obtained order ID. Specifically, a user ID set to which the order belongs is determined according to the obtained order ID.
The preset user set may be a preset user ID set, and an intersection of the user ID set to which the order belongs and the preset user ID set is used as a target user ID set.
And directly taking the number of the target user IDs in the target user ID set as the demand of the warehouse for the advertising materials in the historical time, or carrying out duplication elimination on the target user IDs in the target user ID set, and taking the number of the target user IDs in the target user ID set after duplication elimination as the demand of the warehouse for the advertising materials in the historical time.
And if the advertisement mode is that the same user puts advertisements once, taking the number of the target users in the target user set after the duplication removal as the required quantity of the warehouse for the advertisement materials in the historical time. Therefore, the same user does not repeatedly receive the advertisements, and the user experience is improved. And if the advertising mode is that the same user can put advertisements for multiple times, directly taking the number of the target users in the target user set as the required quantity of the warehouse for the advertising materials in the historical time. In addition, the user to whom the order belongs may be the consignee of the order.
In this embodiment, the number of the target users in the target user set is directly used as the demand of the warehouse for the advertising material in the historical time, or the target users in the target user set are deduplicated, and the number of the target users in the deduplicated target user set is used as the demand of the warehouse for the advertising material in the historical time. The method and the device realize that the same user can put advertisements for many times and also can put advertisements once, meet the requirements of the advertisers and improve the experience of the advertisers.
In this embodiment of the present invention, the constraint condition further includes:
each designated warehouse in the designated warehouse set is the target warehouse;
for each appointed warehouse, the quantity of the advertisement materials distributed to the appointed warehouse is larger than the preset distribution quantity of the appointed warehouse; or the ratio of the sum of the quantity of the advertisement materials distributed to each specified warehouse to the preset quantity of the advertisement materials is greater than or equal to a preset ratio;
the specified warehouse is a warehouse of which the estimated demand for the advertising materials is greater than the first demand, and the area to which the order processed by the warehouse belongs is in a preset area.
In this embodiment, the preset area is within the advertisement receiving area. The preset area, the preset proportion, the first demand and the preset distribution amount of the designated warehouse can be manually set. In addition, the preset ratio may be set to 0.1. Specifically, the ratio of the sum of the number of the advertisement materials distributed to each specified warehouse to the preset number of the advertisement materials is greater than or equal to an expression of a preset ratio:
Figure BDA0002289583120000151
where n represents any one of the specified warehouses in the specified warehouse set. y isnRepresenting the amount of advertising material distributed to n.
The preset distribution amount for a given warehouse may be set according to the performance of the given warehouse. For example 50 advertising materials. The area to which the order belongs includes a shipping address of the order. It may be determined from the products stored by the warehouse which orders the warehouse processes.
In another embodiment, the constraints further include: each designated warehouse in the designated warehouse set is the target warehouse;
the specified warehouse is a warehouse of which the estimated demand for the advertising materials is greater than the first demand, and the area to which the order processed by the warehouse belongs is in a preset area.
It should be understood that the specified repository may be the case described above, and the specified repository may also be: taking a plurality of warehouses in a preset area of an area to which an order processed by a warehouse belongs as a preparation warehouse set; sequencing all the preparation warehouses in the preparation warehouse set according to the sequence that the estimated demand of the preparation warehouses for the advertising materials is from large to small; the first preliminary warehouse is taken as a designated warehouse, or each preliminary warehouse that ranks in the first 3 ranks is taken as a designated warehouse.
In the embodiment, the quantities of the target warehouse set and the advertisement materials distributed to each target warehouse in the target warehouse set are determined according to the content included in the constraint conditions, so that the requirement of the advertisement putting quantity in a preset area is met, the requirement of an advertiser is met, and the experience degree of the advertiser is further improved.
It should be noted that the advertisements may be delivered in stages.
For the advertisement in the current period, constraint conditions are met, the sum of the cost of each warehouse is minimum, and a solver is adopted for calculation without solution. If one is ignored, there is a solution. It shows that the advertisement in this period can not be put at all, generally because the PiT becomes smaller. Thus, t is ignored, thereby determining the target warehouse set and the amount of advertising material distributed to each of the target warehouses in the target warehouse set.
The following measures are taken to improve the next period of advertisement:
1, prolonging the advertisement putting time of the next period of advertisement;
2, adding users in the preset user set of the next period advertisement;
3 expanding the advertisement receiving area of the next advertisement.
According to the improved next-period advertisement and the method provided by the embodiment of the invention for distribution, more users can receive the advertisement, the situation that the advertisement cannot be completely delivered is reduced, and the rationality and the robustness of the method provided by the embodiment of the invention are improved.
Operation and raising: the subject is a cross-domain study applying mathematics and formal science, and uses methods such as statistics, mathematical models and algorithms to find the best or near-best solution in complex problems. Operational research is an important professional basic course of modern management, is a new subject developed in the early 30 th of the 20 th century, mainly aims at providing scientific basis for managers during decision making, and is one of important methods for realizing effective management, correct decision making and modern management.
And (3) integer programming: all or some of the variables in the exponential planning are limited to integer mathematical plans.
Constraint conditions are as follows: the decision variables are subjected to various available resource limitations and logic constraints when taking values, and are expressed as equality or inequality containing the decision variables.
Machine learning: the machine learning theory is mainly to design and analyze algorithms which can enable a computer to automatically learn, and is an algorithm which automatically analyzes and obtains rules from data and predicts unknown data by using the rules.
In order to solve the problems in the prior art, an embodiment of the present invention provides a distribution device, as shown in fig. 5, the distribution device includes:
an obtaining unit 501, configured to obtain an estimated demand of each warehouse in the warehouse set for the advertisement material, a maximum processing amount of each warehouse for the advertisement material, and a selection cost of each warehouse.
A processing unit 502, configured to determine a target warehouse set and a number of advertisement materials distributed to each target warehouse in the target warehouse set according to the cost of the advertisement materials, a preset number of advertisement materials, and an estimated demand of each warehouse for the advertisement materials, a maximum processing amount of each warehouse for the advertisement materials, and a selection cost of each warehouse; wherein the warehouse set contains the target warehouse set.
In this embodiment of the present invention, the processing unit 502 is configured to:
for each warehouse, determining the unprocessed quantity of the advertisement materials of the warehouse according to the estimated demand of the warehouse for the advertisement materials, the maximum processing quantity of the warehouse for the advertisement materials and the quantity of the advertisement materials distributed to the warehouse; multiplying the unprocessed amount by the cost of the advertising materials to obtain a product, and taking the sum of the product and the selection cost of the warehouse as the cost of the warehouse;
satisfying constraint conditions and minimizing the sum of the costs of all warehouses so as to determine a target warehouse set and the quantity of the advertisement materials distributed to each target warehouse in the target warehouse set;
the constraint conditions include: the sum of the quantity of the advertisement materials distributed to each warehouse is equal to the preset quantity of the advertisement materials; the quantity of the advertisement materials distributed to the warehouse is less than or equal to the maximum processing quantity of the advertisement materials of the warehouse; if the warehouse is the target warehouse, the number of the advertisement materials distributed to the warehouse is greater than or equal to 1; if the warehouse is not the target warehouse, the number of the advertisement materials distributed to the warehouse is equal to 0.
In this embodiment of the present invention, the processing unit 502 is configured to:
selecting a minimum number from the estimated demand of the warehouse for the advertising materials and the maximum processing capacity of the warehouse for the advertising materials as a first number;
judging whether the quantity of the advertisement materials distributed to the warehouse is larger than the first quantity or not, if so, taking the difference value between the quantity of the advertisement materials distributed to the warehouse and the first quantity as the unprocessed quantity of the advertisement materials of the warehouse; if not, taking 0 as the unprocessed amount of the warehouse to the advertisement materials.
In this embodiment of the present invention, the obtaining unit 501 is configured to:
determining a historical time set according to the advertisement putting time;
for each historical time in the historical time set, acquiring an identifier of an order processed by the warehouse in the historical time, and determining the required amount of the advertising materials in the historical time by the warehouse according to the identifier of the order and a preset user set;
and calculating the demand of the warehouse for the advertisement materials in the advertisement putting time according to the demand of the warehouse for the advertisement materials in each historical time, and taking the demand as the estimated demand of the warehouse for the advertisement materials.
In this embodiment of the present invention, the obtaining unit 501 is configured to:
determining a user set to which the order belongs according to the identifier of the order, and taking the intersection of the user set to which the order belongs and a preset user set as a target user set;
and directly taking the number of the target users in the target user set as the required amount of the warehouse for the advertisement material in the historical time, or performing duplicate removal on the target users in the target user set, and taking the number of the target users in the target user set after the duplicate removal as the required amount of the warehouse for the advertisement material in the historical time.
In this embodiment of the present invention, the constraint condition further includes:
each designated warehouse in the designated warehouse set is the target warehouse;
for each appointed warehouse, the quantity of the advertisement materials distributed to the appointed warehouse is larger than the preset distribution quantity of the appointed warehouse; or the ratio of the sum of the quantity of the advertisement materials distributed to each specified warehouse to the preset quantity of the advertisement materials is greater than or equal to a preset ratio;
the specified warehouse is a warehouse of which the estimated demand for the advertising materials is greater than the first demand, and the area to which the order processed by the warehouse belongs is in a preset area.
It should be understood that the functions performed by the components of the distribution apparatus provided in the embodiments of the present invention have been described in detail in the distribution method of the embodiments, and are not described herein again.
Fig. 6 shows an exemplary system architecture 600 to which the distribution method or distribution apparatus of embodiments of the invention may be applied.
As shown in fig. 6, the system architecture 600 may include terminal devices 601, 602, 603, a network 604, and a server 605. The network 604 serves to provide a medium for communication links between the terminal devices 601, 602, 603 and the server 605. Network 604 may include various types of connections, such as wire, wireless communication links, or fiber optic cables, to name a few.
A user may use the terminal devices 601, 602, 603 to interact with the server 605 via the network 604 to receive or send messages or the like. The terminal devices 601, 602, 603 may have installed thereon various communication client applications, such as shopping applications, web browser applications, search applications, instant messaging tools, mailbox clients, social platform software, etc. (by way of example only).
The terminal devices 601, 602, 603 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 605 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 601, 602, 603. The backend management server may analyze and perform other processing on the received data such as the product information query request, and feed back a processing result (for example, target push information, product information — just an example) to the terminal device.
It should be noted that the distribution method provided by the embodiment of the present invention is generally executed by the server 605, and accordingly, the distribution apparatus is generally disposed in the server 605.
It should be understood that the number of terminal devices, networks, and servers in fig. 6 is merely illustrative. There may be any number of terminal devices, networks, and servers, as desired for implementation.
Referring now to FIG. 7, shown is a block diagram of a computer system 700 suitable for use with a terminal device implementing an embodiment of the present invention. The terminal device shown in fig. 7 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. 7, the computer system 700 includes a Central Processing Unit (CPU)701, which can perform various appropriate actions and processes in accordance with a program stored in a Read Only Memory (ROM)702 or a program loaded from a storage section 708 into a Random Access Memory (RAM) 703. In the RAM 703, various programs and data necessary for the operation of the system 700 are also stored. The CPU 701, the ROM 702, and the RAM 703 are connected to each other via a bus 704. An input/output (I/O) interface 705 is also connected to bus 704.
The following components are connected to the I/O interface 705: an input portion 706 including a keyboard, a mouse, and the like; an output section 707 including a display such as a Cathode Ray Tube (CRT), a Liquid Crystal Display (LCD), and the like, and a speaker; a storage section 708 including a hard disk and the like; and a communication section 709 including a network interface card such as a LAN card, a modem, or the like. The communication section 709 performs communication processing via a network such as the internet. A drive 710 is also connected to the I/O interface 705 as needed. A removable medium 711 such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, or the like is mounted on the drive 710 as necessary, so that a computer program read out therefrom is mounted into the storage section 708 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 can be downloaded and installed from a network through the communication section 709, and/or installed from the removable medium 711. The computer program performs the above-described functions defined in the system of the present invention when executed by the Central Processing Unit (CPU) 701.
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 unit, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams or flowchart illustration, and combinations of blocks in the block diagrams or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
The units described in the embodiments of the present invention may be implemented by software or hardware. The described units may also be provided in a processor, and may be described as: a processor includes an acquisition unit and a processing unit. Where the names of these units do not in some cases constitute a limitation on the units themselves, for example, an acquisition unit may also be described as a "unit that acquires the estimated demand for advertising material from each warehouse in a warehouse collection, the maximum throughput of advertising material from each warehouse, and the cost of selection for each warehouse".
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: acquiring the estimated demand of each warehouse on the advertising materials in the warehouse set, the maximum processing capacity of each warehouse on the advertising materials and the selection cost of each warehouse; determining a target warehouse set and the quantity of the advertisement materials distributed to each target warehouse in the target warehouse set according to the cost of the advertisement materials, the preset quantity of the advertisement materials, the estimated demand of each warehouse on the advertisement materials, the maximum processing quantity of each warehouse on the advertisement materials and the selection cost of each warehouse; wherein the warehouse set contains the target warehouse set.
According to the technical scheme of the embodiment of the invention, the advertisement materials are distributed according to the factors of the cost of the advertisement materials, the preset quantity of the advertisement materials, the estimated demand of each warehouse for the advertisement materials, the maximum processing capacity of each warehouse for the advertisement materials and the selection cost of each warehouse, so that the advertisement materials are distributed by integrating various factors, the distribution accuracy is improved, the cost factor is considered during distribution, and the distribution cost of the advertisement materials is reduced.
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 distribution, comprising:
acquiring the estimated demand of each warehouse on the advertising materials in the warehouse set, the maximum processing capacity of each warehouse on the advertising materials and the selection cost of each warehouse;
determining a target warehouse set and the quantity of the advertisement materials distributed to each target warehouse in the target warehouse set according to the cost of the advertisement materials, the preset quantity of the advertisement materials, the estimated demand of each warehouse on the advertisement materials, the maximum processing quantity of each warehouse on the advertisement materials and the selection cost of each warehouse;
wherein the warehouse set contains the target warehouse set.
2. The method of claim 1, wherein determining a target set of warehouses and the amount of advertising material distributed to each target warehouse of the target set of warehouses based on the advertising material cost, the preset amount of advertising material, and the estimated demand for advertising material by each warehouse, the maximum throughput of advertising material by each warehouse, and the selected cost for each warehouse comprises:
for each warehouse, determining the unprocessed quantity of the advertisement materials of the warehouse according to the estimated demand of the warehouse for the advertisement materials, the maximum processing quantity of the warehouse for the advertisement materials and the quantity of the advertisement materials distributed to the warehouse; multiplying the unprocessed amount by the cost of the advertising materials to obtain a product, and taking the sum of the product and the selection cost of the warehouse as the cost of the warehouse;
satisfying constraint conditions and minimizing the sum of the costs of all warehouses so as to determine a target warehouse set and the quantity of the advertisement materials distributed to each target warehouse in the target warehouse set;
the constraint conditions include: the sum of the quantity of the advertisement materials distributed to each warehouse is equal to the preset quantity of the advertisement materials; the quantity of the advertisement materials distributed to the warehouse is less than or equal to the maximum processing quantity of the advertisement materials of the warehouse; if the warehouse is the target warehouse, the number of the advertisement materials distributed to the warehouse is greater than or equal to 1; if the warehouse is not the target warehouse, the number of the advertisement materials distributed to the warehouse is equal to 0.
3. The method of claim 2, wherein determining the amount of unprocessed advertising material by the warehouse based on the estimated demand for advertising material by the warehouse, the maximum throughput of advertising material by the warehouse, and the quantity of advertising material distributed to the warehouse comprises:
selecting a minimum number from the estimated demand of the warehouse for the advertising materials and the maximum processing capacity of the warehouse for the advertising materials as a first number;
judging whether the quantity of the advertisement materials distributed to the warehouse is larger than the first quantity or not, if so, taking the difference value between the quantity of the advertisement materials distributed to the warehouse and the first quantity as the unprocessed quantity of the advertisement materials of the warehouse; if not, taking 0 as the unprocessed amount of the warehouse to the advertisement materials.
4. The method of claim 2, wherein the method of obtaining the estimated demand of the warehouse for advertising material comprises:
determining a historical time set according to the advertisement putting time;
for each historical time in the historical time set, acquiring an identifier of an order processed by the warehouse in the historical time, and determining the required amount of the advertising materials in the historical time by the warehouse according to the identifier of the order and a preset user set;
and calculating the demand of the warehouse for the advertisement materials in the advertisement putting time according to the demand of the warehouse for the advertisement materials in each historical time, and taking the demand as the estimated demand of the warehouse for the advertisement materials.
5. The method of claim 4, wherein determining the demand of the warehouse for advertising material over the historical time based on the identification of the order and a preset set of users comprises:
determining a user set to which the order belongs according to the identifier of the order, and taking the intersection of the user set to which the order belongs and a preset user set as a target user set;
and directly taking the number of the target users in the target user set as the required amount of the warehouse for the advertisement material in the historical time, or performing duplicate removal on the target users in the target user set, and taking the number of the target users in the target user set after the duplicate removal as the required amount of the warehouse for the advertisement material in the historical time.
6. The method of claim 2, wherein the constraints further comprise:
each designated warehouse in the designated warehouse set is the target warehouse;
for each appointed warehouse, the quantity of the advertisement materials distributed to the appointed warehouse is larger than the preset distribution quantity of the appointed warehouse; or the ratio of the sum of the quantity of the advertisement materials distributed to each specified warehouse to the preset quantity of the advertisement materials is greater than or equal to a preset ratio;
the specified warehouse is a warehouse of which the estimated demand for the advertising materials is greater than the first demand, and the area to which the order processed by the warehouse belongs is in a preset area.
7. A dispensing device, comprising:
the system comprises an acquisition unit, a storage unit and a processing unit, wherein the acquisition unit is used for acquiring the estimated demand of each warehouse on the advertising materials in the warehouse set, the maximum processing capacity of each warehouse on the advertising materials and the selection cost of each warehouse;
the processing unit is used for determining a target warehouse set and the quantity of the advertisement materials distributed to each target warehouse in the target warehouse set according to the cost of the advertisement materials, the preset quantity of the advertisement materials, the estimated demand of each warehouse on the advertisement materials, the maximum processing quantity of each warehouse on the advertisement materials and the selection cost of each warehouse; wherein the warehouse set contains the target warehouse set.
8. The apparatus of claim 7, wherein the processing unit is configured to:
for each warehouse, determining the unprocessed quantity of the advertisement materials of the warehouse according to the estimated demand of the warehouse for the advertisement materials, the maximum processing quantity of the warehouse for the advertisement materials and the quantity of the advertisement materials distributed to the warehouse; multiplying the unprocessed amount by the cost of the advertising materials to obtain a product, and taking the sum of the product and the selection cost of the warehouse as the cost of the warehouse;
satisfying constraint conditions and minimizing the sum of the costs of all warehouses so as to determine a target warehouse set and the quantity of the advertisement materials distributed to each target warehouse in the target warehouse set;
the constraint conditions include: the sum of the quantity of the advertisement materials distributed to each warehouse is equal to the preset quantity of the advertisement materials; the quantity of the advertisement materials distributed to the warehouse is less than or equal to the maximum processing quantity of the advertisement materials of the warehouse; if the warehouse is the target warehouse, the number of the advertisement materials distributed to the warehouse is greater than or equal to 1; if the warehouse is not the target warehouse, the number of the advertisement materials distributed to the warehouse is equal to 0.
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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