CN112508493A - Cargo management method and system for online purchasing platform - Google Patents

Cargo management method and system for online purchasing platform Download PDF

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CN112508493A
CN112508493A CN202011505809.1A CN202011505809A CN112508493A CN 112508493 A CN112508493 A CN 112508493A CN 202011505809 A CN202011505809 A CN 202011505809A CN 112508493 A CN112508493 A CN 112508493A
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packing box
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packing
order
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CN112508493B (en
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封军
花玉强
徐苗苗
胡世轩
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Anhui High Quality Mining Technology Development Co ltd
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Abstract

The invention provides a goods management method for an online purchasing platform, and relates to the technical field of purchasing platform management. The method comprises the steps of obtaining historical purchase orders of corresponding goods and corresponding historical packing box selection results based on purchase orders, selecting historical orders with the same purchase quantity as that of current purchase orders from historical data, calculating corresponding use quantity mean values according to different packing box specifications, selecting one packing box specification from all selectable packing box specifications by using a preset packing box specification selection algorithm to obtain a packing box selection result, calculating the closest historical purchase orders with the purchase quantity larger than or smaller than two sides of each specification in consideration of the condition that no historical purchase orders with the same purchase quantity exist, and calculating deviation and average accommodation capacity; and determining a packing box selection result based on a preset packing box specification selection algorithm.

Description

Cargo management method and system for online purchasing platform
Technical Field
The invention relates to the technical field of purchasing platform management, in particular to a goods management method and system for an online purchasing platform.
Background
The online purchasing platform is an important component of global inter-enterprise (B2B) electronic commerce, and provides massive business information and a convenient and safe online trading market for world network providers. More and more online purchasing platforms start to build an online purchasing-goods inventory management-distribution integrated system to meet the requirement of customers on the quality of service of the whole purchasing process.
The existing purchasing platform needs to select the packaging box to pack the goods before delivery, and then the packaged packaging box is put into a delivery truck for delivery. Due to the fact that different purchase orders have great difference, the existing goods are usually selected by manual operation during packaging, selection cannot be performed based on the whole purchasing-goods inventory management-distribution integrated system, influence of packaging box selection on goods management and distribution links is not considered, and accordingly efficiency is low.
How to select the packing box based on the whole purchasing-cargo inventory management-distribution integrated system is a problem which needs to be solved urgently.
Disclosure of Invention
Technical problem to be solved
Aiming at the defects of the prior art, the invention provides a goods management method for an online purchasing platform, which solves the problem of how to select a packing box based on the whole purchasing-goods inventory management-distribution integrated system.
(II) technical scheme
In order to achieve the purpose, the invention is realized by the following technical scheme:
in a first aspect, a method for managing goods for an online procurement platform is provided, the method comprising:
s1, acquiring a purchase order, wherein the purchase order comprises a goods number and a purchase quantity;
s2, acquiring historical purchase orders of corresponding goods and corresponding historical packing box selection results based on the goods numbers, wherein the packing box selection results comprise specifications and using quantity of packing boxes;
s3, grouping the acquired historical purchase orders according to the purchase quantity of the current purchase order to obtain a set A equal to the purchase quantity of the current purchase order;
s4, judging whether the set A is empty or not,
if not, go to S41 a;
s41a, acquiring the specification quantity of the packing cases in the historical packing case selection result corresponding to each historical purchase order in the set A,
if the specification number of the packing boxes is more than 1, respectively calculating the average Num of the use number corresponding to all the specifications of the packing boxesp avgThen Num is addedp avgTaking the upward rounding result as the using quantity of the specification of the packing box; selecting one packing box specification from all the selectable packing box specifications based on a preset packing box specification selection algorithm, and outputting the packing box specification and the corresponding using quantity together as a packing box selection result;
and S5, after the distribution is completed, uploading the purchase order and the corresponding packing box selection result, and storing the purchase order and the corresponding packing box selection result as a historical purchase order.
Further, in step S41a, acquiring the specification quantity of the packing boxes in the historical packing box selection result corresponding to each historical purchase order in the set a, further includes:
if the specification number of the packing boxes is 1, calculating the average Num of the use number of the packing boxespThen Num is addedpAnd taking the rounding result and the specification of the packing box as a packing box selection result.
Further, grouping the acquired historical purchase orders according to the purchase quantity of the current purchase order further comprises obtaining a set B larger than the purchase quantity of the current purchase order and a set C smaller than the purchase quantity of the current purchase order;
and the judging whether the set A is empty further comprises:
if the state is empty, executing S41 b-S48 b;
s41b, initializing the specification of the optional packing box, and enabling i to be 1;
s42b, selecting the ith packing box specification from the optional packing box specifications;
S43B, screening out historical purchase orders adopting the specification of the packing box from the set B and the set C respectively to obtain a set B 'and a set C';
S44B, obtaining the middle mining of the set BHistorical purchase Order with minimum purchase quantityminAnd the historical purchase Order with the largest purchase number in the set Cmax；
S45b, compare OrdermaxAnd OrderminThe number of the packing cases to be used,
if not, respectively calculating OrdermaxPurchase quantity, OrderminOrder of purchasing quantity and current purchasing OrderliveDegree of departure of purchase quantity ofmaxAnd DisminThe calculation formula of the deviation degree is as follows:
Figure BDA0002844900890000031
and respectively calculate OrdermaxAnd OrderminAverage capacity Q of the packing boxB’ avgAnd QC’ avg；
Qavg＝Numhis/Nump i
Wherein, Nump iThe using number of the packaging boxes with the specification of the ith packaging box is shown; numhisNumber of purchases for historical purchase orders, NumliveThe purchase quantity of the current purchase order;
s46b OrdermaxAnd OrderminIn the presence of a small deviation Dis and an average accommodation quantity QavgLarger, according to the corresponding average accommodating quantity QavgCalculating the using quantity Num of the packing boxesp i(ii) a Otherwise, the average holding capacity Q is selectedavgThe using quantity Num of the packing boxes is calculated greatlyp i；
S47b, storing the selection result of the ith packing box, wherein i is i +1, and returning to S42b until all optional packing box specifications are traversed;
and S48b, selecting one packing box specification from all the selectable packing box specifications based on a preset packing box specification selection algorithm, and outputting a corresponding packing box selection result.
Further, the S45b, compare OrdermaxAnd OrderminThe number of the packing boxes used further includes:
if the same, the number of the packaging boxes is recorded as Nump i(ii) a Then, S47 b-S48 b are executed.
Further, the preset packing box specification selection algorithm is as follows:
calculating the specification consumption value of each packing box, and selecting the packing box specification with the minimum consumption value; and the calculation formula of the consumption value of the ith packing box specification is as follows:
Ei＝w1×Nump i/Qp i+w2×Nump i×Vp i/Vcar；
wherein E isiShows the consumption value, Num, of the ith package box specificationp iIndicates the number of uses of the ith container, Qp iIndicating the stock quantity, V, of the ith container formatp iVolume, V, representing the specification of the ith packagecarIndicating the maximum storage space of the delivery vehicle, w1Weight of stock occupation, w, indicating the specification of the package2And representing the space occupation weight of the specification of the packing box.
Further, if not all packing box specifications correspond to Nump i/Qp iIf all are greater than the preset threshold value, the E of the specification of the packaging box greater than the preset threshold valueiSet to + ∞.
Further, the preset packing box specification selection algorithm is as follows:
the packing box specification with the lowest packing cost is selected from all the selectable packing box specifications, and the calculation formula of the packing cost is as follows:
Cost＝Nump i×Pi
wherein, Nump iIndicates the number of uses of the ith container format, PiIndicating the unit price of the ith container format.
In a second aspect, there is provided a cargo management system for an online procurement platform, the system comprising a memory, a processor, and a computer program stored on the memory and executable on the processor, the processor implementing the steps of the method when executing the computer program.
(III) advantageous effects
The invention provides a goods management method for an online purchasing platform. Compared with the prior art, the method has the following beneficial effects:
the embodiment of the invention obtains the historical purchase orders of the corresponding goods and the corresponding historical packing box selection results based on the purchase orders, selects the historical orders with the same purchase quantity as the current purchase orders from the historical data, calculates the corresponding use quantity mean value according to different packing box specifications, selects one packing box specification from all the optional packing box specifications by using a preset packing box specification selection algorithm to obtain the packing box selection results, uploads the purchase orders and the corresponding packing box selection results after the distribution is finished to be used as the historical purchase orders for storage, and can realize the iteration of the historical data.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
FIG. 1 is a flow chart of an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention are clearly and completely described, and it is obvious that the described embodiments are a part of the embodiments of the present invention, but not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The embodiment of the application provides a goods management method for an online purchasing platform, and solves the problem of how to select a packing box based on a whole purchasing-goods inventory management-distribution integrated system.
In order to solve the technical problems, the general idea of the embodiment of the application is as follows: the method comprises the steps of obtaining historical purchase orders corresponding to goods and corresponding historical packing box selection results based on purchase orders, selecting historical orders with the same purchase quantity as that of current purchase orders from historical data, calculating corresponding use quantity mean values according to different packing box specifications, selecting one packing box specification from all optional packing box specifications by using a preset packing box specification selection algorithm to obtain packing box selection results, uploading the purchase orders and the corresponding packing box selection results after distribution is completed, storing the purchase orders and the corresponding packing box selection results as the historical purchase orders, and achieving iteration of the historical data.
In order to better understand the technical solution, the technical solution will be described in detail with reference to the drawings and the specific embodiments.
Example 1:
as shown in fig. 1, the present invention provides a cargo management method for an online procurement platform, comprising:
in a first aspect, a method for managing goods for an online procurement platform is provided, the method comprising:
s1, acquiring a purchase order, wherein the purchase order comprises a goods number and a purchase quantity;
s2, acquiring historical purchase orders of corresponding goods and corresponding historical packing box selection results based on the goods numbers, wherein the packing box selection results comprise specifications and using quantity of packing boxes;
s3, grouping the acquired historical purchase orders according to the purchase quantity of the current purchase order to obtain a set A equal to the purchase quantity of the current purchase order;
s4, judging whether the set A is empty or not,
if not, go to S41 a;
s41a, acquiring the specification quantity of the packing cases in the historical packing case selection result corresponding to each historical purchase order in the set A,
if the specification number of the packing boxes is more than 1, respectively calculating the average Num of the use number corresponding to all the specifications of the packing boxesp avgThen Num is addedp avgTaking the upward rounding result as the using quantity of the specification of the packing box; selecting one packing box specification from all the selectable packing box specifications based on a preset packing box specification selection algorithm, and outputting the packing box specification and the corresponding using quantity together as a packing box selection result;
and S5, after the distribution is completed, uploading the purchase order and the corresponding packing box selection result, and storing the purchase order and the corresponding packing box selection result as a historical purchase order.
The beneficial effect of this embodiment does:
the embodiment of the invention obtains the historical purchase orders of the corresponding goods and the corresponding historical packing box selection results based on the purchase orders, selects the historical orders with the same purchase quantity as the current purchase orders from the historical data, calculates the corresponding use quantity mean value according to different packing box specifications, selects one packing box specification from all the optional packing box specifications by using a preset packing box specification selection algorithm to obtain the packing box selection results, uploads the purchase orders and the corresponding packing box selection results after the distribution is finished to be used as the historical purchase orders for storage, and can realize the iteration of the historical data.
The following describes the implementation process of the embodiment of the present invention in detail:
s1, acquiring a purchase order, wherein the purchase order comprises a goods number and a purchase quantity; each purchase order corresponds to a goods number, and when the purchase quantity exceeds the storage capacity of a single delivery vehicle, namely the purchase quantity of the goods is larger than the preset maximum storage capacity of the vehicle for storing the goods, the order is split.
S2, acquiring historical purchase orders of corresponding goods and corresponding historical packing box selection results based on the goods numbers, wherein the packing box selection results comprise specifications and using quantity of packing boxes;
s3, grouping the acquired historical purchase orders according to the purchase quantity of the current purchase order to obtain a set A equal to the purchase quantity of the current purchase order; a set B of purchase quantities greater than the current purchase order and a set C of purchase quantities less than the current purchase order are also obtained.
Because the packaging box not only contains goods, but also contains other articles, such as buffer materials and the like, which also need to occupy space, and the goods accommodating quantity of the packaging boxes with different specifications corresponding to different purchase quantities also has difference, the historical orders with the same purchase quantity are preferably selected,
s4, judging whether the set A is empty, namely whether historical purchase orders with the same purchase quantity exist;
if not, indicating that there is a historical purchase order with the same purchase quantity, executing S41 a;
s41a, acquiring the specification quantity of the packing cases in the historical packing case selection result corresponding to each historical purchase order in the set A,
if the specification number of the packing boxes is 1, the historical data shows that only one packing box specification is used, and the average Num of the used number of the packing boxes is calculatedpThen Num is addedpAnd taking the rounding result and the specification of the packing box as a packing box selection result.
If the number of the packaging box specifications is more than 1, the historical data shows that only a plurality of packaging box specifications are used, and the average Num of the number of the packaging box specifications is calculatedp avgThen Num is addedp avgTaking the upward rounding result as the using quantity of the specification of the packing box; and selecting one packing box specification from all the selectable packing box specifications based on a preset packing box specification selection algorithm, and outputting the packing box specification and the corresponding using quantity together as a packing box selection result.
If the historical purchase orders are not available, the historical purchase orders with the same purchase quantity do not exist, the closest historical purchase orders need to be screened, and S41 b-S48 b are executed;
s41b, initializing optional packing box specifications, for example, setting three packing boxes of large, medium and small specifications, and making i equal to 1;
s42b, selecting the ith packing box specification from the optional packing box specifications;
S43B, screening out historical purchase orders adopting the specification of the packing box from the set B and the set C respectively to obtain a set B 'and a set C';
S44B, obtaining the historical purchase Order with the minimum purchase quantity in the set BminAnd the historical purchase Order with the largest purchase number in the set Cmax；
S45b, compare OrdermaxAnd OrderminThe number of the packing cases to be used,
if the same, the number of the packaging boxes is recorded as Nump i(ii) a Then, S47 b-S48 b are executed.
If not, respectively calculating OrdermaxPurchase quantity, OrderminOrder of purchasing quantity and current purchasing OrderliveDegree of departure of purchase quantity ofmaxAnd DisminThe calculation formula of the deviation degree is as follows:
Figure BDA0002844900890000081
and respectively calculate OrdermaxAnd OrderminAverage capacity Q of the packing boxB’ avgAnd QC’ avg；
Qavg＝Numhis/Nump i
Wherein, Nump iThe using number of the packaging boxes with the specification of the ith packaging box is shown; numhisNumber of purchases for historical purchase orders, NumliveThe purchase quantity of the current purchase order;
s46b OrdermaxAnd OrderminIn the presence of a small deviation Dis and an average accommodation quantity QavgIf the average capacity Q is larger, the average capacity Q is closer to the purchase quantity of the current purchase order, the utilization rate is higher, the optimal solution is obtained, and the average capacity Q is obtained according to the corresponding average capacityavgCalculating the using quantity Num of the packing boxesp i(ii) a Otherwise, the average holding capacity Q is selectedavgThe using quantity Num of the packing boxes is calculated greatlyp i；
S47b, storing the selection result of the ith packing box, wherein i is i +1, and returning to S42b until all optional packing box specifications are traversed;
and S48b, selecting one packing box specification from all the selectable packing box specifications based on a preset packing box specification selection algorithm, and outputting a corresponding packing box selection result.
And S5, after the distribution is completed, uploading the purchase orders and the corresponding packing box selection results, and storing the purchase orders as historical purchase orders to realize the updating iteration of the historical data.
The preset packing box specification selection algorithm can select the existing algorithm, such as a random selection algorithm, and can also be any one of the following two algorithms:
firstly, the consumption of inventory and storage space is biased, the specification consumption value of each packing box is calculated, and the packing box specification with the minimum consumption value is selected; and the calculation formula of the consumption value of the ith packing box specification is as follows:
Ei＝w1×Nump i/Qp i+w2×Nump i×Vp i/Vcar；
wherein E isiShows the consumption value, Num, of the ith package box specificationp iIndicates the number of uses of the ith container, Qp iIndicating the stock quantity, V, of the ith container formatp iVolume, V, representing the specification of the ith packagecarIndicating the maximum storage space of the delivery vehicle, w1Weight of stock occupation, w, indicating the specification of the package2And representing the space occupation weight of the specification of the packing box. w is a1And w2The value of (b) can be set according to actual conditions and needs.
The condition that the used quantity of the packing boxes occupies overlarge inventory can be further considered, if not, Num corresponding to all the specifications of the packing boxesp i/Qp iAre all greater thanIf the threshold is set, for example, 50%, E of the specification of the packaging box larger than the preset threshold is setiSet to + ∞.
Secondly, the packing cost is biased, the packing box specification with the lowest packing cost is selected from all the selectable packing box specifications, and the calculation formula of the packing cost is as follows:
Cost＝Nump i×Pi
wherein, Nump iIndicates the number of uses of the ith container format, PiIndicating the unit price of the ith container format.
Example 2
There is provided a cargo management system for an online procurement platform, the system comprising a memory, a processor and a computer program stored on the memory and executable on the processor, the processor implementing the steps of the method when executing the computer program.
It can be understood that the cargo management system for the online procurement platform provided by the embodiment of the invention corresponds to the cargo management method for the online procurement platform, and the explanation, examples, beneficial effects and the like of the relevant contents can refer to the corresponding contents in the cargo management method for the online procurement platform, and are not described again here.
In summary, compared with the prior art, the invention has the following beneficial effects:
the embodiment of the invention obtains the historical purchase orders corresponding to the goods and the corresponding historical packing box selection results based on the purchase orders, selects the historical orders with the same purchase quantity as the current purchase orders from the historical data, calculates the corresponding use quantity mean value according to different packing box specifications, selects one packing box specification from all the optional packing box specifications by using a preset packing box specification selection algorithm, obtains the packing box selection results, uploads the purchase orders and the corresponding packing box selection results after the distribution is finished, and saves the purchase orders and the corresponding packing box selection results as the historical purchase orders, thereby realizing the iteration of the historical data.
The embodiment of the invention also considers that no calendars with the same purchase quantity existIn case of history purchase Order, calculating the purchase quantity of each specification is more than or less than the nearest history purchase Order on both sidesmaxAnd OrderminAnd calculate the degree of deviation DismaxAnd Dismin(ii) a Average capacity QB’ avgAnd QC’ avg(ii) a And determining a packing box selection result based on a preset packing box specification selection algorithm.
The embodiment of the invention also provides two packing box specification selection algorithms, one is biased to stock and storage space consumption, and the other is biased to packing cost, and the selection can be carried out according to actual requirements.
It should be noted that, through the above description of the embodiments, those skilled in the art can clearly understand that each embodiment can be implemented by software plus a necessary general hardware platform. With this understanding in mind, the above-described technical solutions may be embodied in the form of a software product, which can be stored in a computer-readable storage medium such as ROM/RAM, magnetic disk, optical disk, etc., and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute the methods described in the embodiments or some parts of the embodiments. In this document, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.
The above examples are only intended to illustrate the technical solution of the present invention, but not to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.

Claims (8)

1. A method for managing goods for an online procurement platform, the method comprising:
s1, acquiring a purchase order, wherein the purchase order comprises a goods number and a purchase quantity;
s2, acquiring historical purchase orders of corresponding goods and corresponding historical packing box selection results based on the goods numbers, wherein the packing box selection results comprise specifications and using quantity of packing boxes;
s3, grouping the acquired historical purchase orders according to the purchase quantity of the current purchase order to obtain a set A equal to the purchase quantity of the current purchase order;
s4, judging whether the set A is empty or not,
if not, go to S41 a;
s41a, acquiring the specification quantity of the packing cases in the historical packing case selection result corresponding to each historical purchase order in the set A,
if the specification number of the packing boxes is more than 1, respectively calculating the average Num of the use number corresponding to all the specifications of the packing boxesp avgThen Num is addedp avgTaking the upward rounding result as the using quantity of the specification of the packing box; selecting one packing box specification from all the selectable packing box specifications based on a preset packing box specification selection algorithm, and outputting the packing box specification and the corresponding using quantity together as a packing box selection result;
and S5, after the distribution is completed, uploading the purchase order and the corresponding packing box selection result, and storing the purchase order and the corresponding packing box selection result as a historical purchase order.
2. The method as claimed in claim 1, wherein the step S41a of obtaining the packing container specification number in the selection result of the historical packing container corresponding to each historical purchase order in the set a further comprises:
if the specification number of the packing boxes is 1, calculating the average Num of the use number of the packing boxespThen Num is addedpAnd taking the rounding result and the specification of the packing box as a packing box selection result.
3. The method of claim 1, wherein said grouping the acquired historical purchase orders according to the purchase quantity of the current purchase order further comprises, obtaining a set B of purchase quantities greater than the current purchase order and a set C of purchase quantities less than the current purchase order;
and the judging whether the set A is empty further comprises:
if the state is empty, executing S41 b-S48 b;
s41b, initializing the specification of the optional packing box, and enabling i to be 1;
s42b, selecting the ith packing box specification from the optional packing box specifications;
S43B, screening out historical purchase orders adopting the specification of the packing box from the set B and the set C respectively to obtain a set B 'and a set C';
S44B, obtaining the historical purchase Order with the minimum purchase quantity in the set BminAnd the historical purchase Order with the largest purchase number in the set Cmax；
S45b, compare OrdermaxAnd OrderminThe number of the packing cases to be used,
if not, respectively calculating OrdermaxPurchase quantity, OrderminOrder of purchasing quantity and current purchasing OrderliveDegree of departure of purchase quantity ofmaxAnd DisminThe calculation formula of the deviation degree is as follows:
Figure FDA0002844900880000021
and respectively calculate OrdermaxAnd OrderminAverage capacity Q of the packing boxB’ avgAnd QC’ avg；
Qavg＝Numhis/Nump i
Wherein, Nump iThe using number of the packaging boxes with the specification of the ith packaging box is shown; numhisNumber of purchases for historical purchase orders, NumliveThe purchase quantity of the current purchase order;
s46b OrdermaxAnd OrderminIn the presence of a small deviation Dis and an average accommodation quantity QavgLarger, according to the corresponding average accommodating quantity QavgCalculating the using quantity Num of the packing boxesp i(ii) a Otherwise, the average holding capacity Q is selectedavgThe using quantity Num of the packing boxes is calculated greatlyp i；
S47b, storing the selection result of the ith packing box, wherein i is i +1, and returning to S42b until all optional packing box specifications are traversed;
and S48b, selecting one packing box specification from all the selectable packing box specifications based on a preset packing box specification selection algorithm, and outputting a corresponding packing box selection result.
4. The method as claimed in claim 3, wherein the step of S45b, compare OrdermaxAnd OrderminThe number of the packing boxes used further includes:
if the same, the number of the packaging boxes is recorded as Nump i(ii) a Then, S47 b-S48 b are executed.
5. The cargo management method for the online procurement platform according to any one of claims 1 to 4, characterized in that the preset packing box specification selection algorithm is:
calculating the specification consumption value of each packing box, and selecting the packing box specification with the minimum consumption value; and the calculation formula of the consumption value of the ith packing box specification is as follows:
Ei＝w1×Nump i/Qp i+w2×Nump i×Vp i/Vcar；
wherein E isiShows the consumption value, Num, of the ith package box specificationp iIndicates the number of uses of the ith container, Qp iIndicating the stock quantity, V, of the ith container formatp iVolume, V, representing the specification of the ith packagecarIndicating the maximum storage space of the delivery vehicle, w1Weight of stock occupation, w, indicating the specification of the package2And representing the space occupation weight of the specification of the packing box.
6. The method as claimed in claim 5, wherein the Num corresponding to all the packing box specifications is not includedp i/Qp iIf all are greater than the preset threshold value, the E of the specification of the packaging box greater than the preset threshold valueiSet to + ∞.
7. The cargo management method for the online procurement platform according to any one of claims 1 to 4, characterized in that the preset packing box specification selection algorithm is:
the packing box specification with the lowest packing cost is selected from all the selectable packing box specifications, and the calculation formula of the packing cost is as follows:
Cost＝Nump i×Pi
wherein, Nump iIndicates the number of uses of the ith container format, PiIndicating the unit price of the ith container format.
8. A cargo management system for an online procurement platform, characterized in that the system comprises a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor, when executing the computer program, implements the steps of the method of any of claims 1-7.
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CN113128936A (en) * 2021-04-28 2021-07-16 栖霞市沃尔德果蔬冷藏有限公司 Fruit screening method, system and device and storage medium
CN114676977A (en) * 2022-03-02 2022-06-28 北京京东乾石科技有限公司 Consumable material selection method and device
CN114997970A (en) * 2022-07-19 2022-09-02 国网浙江省电力有限公司 Purchasing plan management and control method based on cloud platform and ERP system
CN117557336A (en) * 2023-11-14 2024-02-13 广州方舟信息科技有限公司 Selection method, device, equipment and storage medium of medicine packaging box

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CN113128936A (en) * 2021-04-28 2021-07-16 栖霞市沃尔德果蔬冷藏有限公司 Fruit screening method, system and device and storage medium
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CN117557336B (en) * 2023-11-14 2024-05-14 广州方舟信息科技有限公司 Selection method, device, equipment and storage medium of medicine packaging box

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