CN113807557A - Distribution transport capacity distribution method, distribution transport capacity distribution device, storage medium and electronic equipment - Google Patents

Distribution transport capacity distribution method, distribution transport capacity distribution device, storage medium and electronic equipment Download PDF

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CN113807557A
CN113807557A CN202010546580.XA CN202010546580A CN113807557A CN 113807557 A CN113807557 A CN 113807557A CN 202010546580 A CN202010546580 A CN 202010546580A CN 113807557 A CN113807557 A CN 113807557A
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distribution
capacity
stationing
delivery
characteristic information
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郑海娟
王圣尧
郑环宇
夏梦煜
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Beijing Sankuai Online Technology Co Ltd
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Beijing Sankuai Online Technology Co Ltd
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    • G—PHYSICS
    • 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
    • G06Q10/00—Administration; Management
    • G06Q10/04—Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
    • G—PHYSICS
    • 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
    • G06Q10/00—Administration; Management
    • G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063—Operations research, analysis or management
    • G06Q10/0631—Resource planning, allocation, distributing or scheduling for enterprises or organisations
    • G06Q10/06312—Adjustment or analysis of established resource schedule, e.g. resource or task levelling, or dynamic rescheduling
    • G—PHYSICS
    • 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
    • G06Q10/00—Administration; Management
    • G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063—Operations research, analysis or management
    • G06Q10/0631—Resource planning, allocation, distributing or scheduling for enterprises or organisations
    • G06Q10/06315—Needs-based resource requirements planning or analysis
    • G—PHYSICS
    • 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
    • G06Q10/00—Administration; Management
    • G06Q10/08—Logistics, e.g. warehousing, loading or distribution; Inventory or stock management
    • G06Q10/083—Shipping
    • G—PHYSICS
    • 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
    • G06Q30/06—Buying, selling or leasing transactions
    • G06Q30/0601—Electronic shopping [e-shopping]
    • G06Q30/0633—Lists, e.g. purchase orders, compilation or processing
    • G06Q30/0635—Processing of requisition or of purchase orders

Abstract

The disclosure relates to a distribution capacity distribution method, a distribution capacity distribution device, a storage medium and an electronic device. The method comprises the following steps: acquiring various stationing point distribution capacity configuration information of stationing point distribution objects, wherein the configuration information is used for indicating the scale of the stationing point distribution capacity; determining distribution efficiency characteristic information of the stationing distribution transportation capacity at the scale indicated by each stationing distribution transportation capacity configuration information; determining target distribution efficiency characteristic information according to the distribution efficiency characteristic information and a cost prediction model, wherein the target distribution efficiency characteristic information is distribution efficiency characteristic information corresponding to the optimal solution of the cost prediction model; and distributing the stationing point distribution capacity for the stationing point distribution objects according to the stationing point distribution capacity configuration information corresponding to the target distribution efficiency characteristic information. Through the technical scheme, the distribution cost can be effectively optimized, the distribution efficiency of the stationed distribution capacity is improved, and the distribution rationality of the distribution capacity is improved.

Description

Distribution transport capacity distribution method, distribution transport capacity distribution device, storage medium and electronic equipment
Technical Field
The present disclosure relates to the field of internet technologies, and in particular, to a distribution capacity allocation method and apparatus, a storage medium, and an electronic device.
Background
With the continuous development of the internet, users can place orders on line through terminals on a distribution platform to purchase needed articles. The distribution capacity can go to the merchant to take the articles and deliver the articles to the user, and the user can receive the purchased articles without going out.
At present, in order to improve the distribution efficiency of distribution capacity, some residence distribution objects are set, and a batch of residence distribution capacity is distributed to the residence distribution objects. The stationing distribution object is composed of a plurality of merchants, and the stationing distribution capacity is used for specially distributing orders of the merchants. The arrangement of the parking point distribution objects can enable the fetching places of the parking point distribution transport capacity to be more concentrated, so that an intensive distribution mode is realized.
In the stationing distribution mode, if the stationing distribution transport capacity allocated to the stationing distribution objects is too much, the situation of wasting the distribution transport capacity is easy to occur; if the allocated residence delivery capacity is too low, imbalance of supply and demand in the delivery process can be caused due to insufficient delivery capacity, so that the delivery of the order is difficult to complete or the delivery is overtime, and the experience of the order-placing user is influenced. Therefore, how much parking delivery capacity is allocated to the parking delivery objects is crucial. In the related art, how much parking point delivery capacity needs to be allocated to the parking point delivery objects is mainly determined by people according to experience, however, the manual allocation mode is not reasonable enough, and the problems of waste of delivery capacity or insufficient delivery capacity may occur.
Disclosure of Invention
The invention aims to provide a distribution transporting capacity distribution method, a distribution transporting capacity distribution device, a storage medium and electronic equipment, which can effectively optimize distribution cost, improve distribution efficiency of stationed distribution transporting capacity and improve reasonability of distribution transporting capacity distribution.
To achieve the above object, in a first aspect, the present disclosure provides a delivery capacity allocation method, the method including: acquiring various stationing point distribution capacity configuration information of stationing point distribution objects, wherein the configuration information is used for indicating the scale of the stationing point distribution capacity; determining distribution efficiency characteristic information of the stationing distribution transportation capacity at the scale indicated by each stationing distribution transportation capacity configuration information; determining target distribution efficiency characteristic information according to the distribution efficiency characteristic information and a cost prediction model, wherein the target distribution efficiency characteristic information is distribution efficiency characteristic information corresponding to the optimal solution of the cost prediction model; and distributing the stationing point distribution capacity for the stationing point distribution objects according to the stationing point distribution capacity configuration information corresponding to the target distribution efficiency characteristic information.
Optionally, the residence distribution capacity configuration information is the number of residence distribution capacities; the acquiring of the configuration information of the various stationing distribution transportation capacities of the stationing distribution objects includes: determining the upper limit value of the number according to the estimated order quantity of the stationing point distribution objects and the per-capita order quantity of distribution capacity of distribution areas where the stationing point distribution objects are located; and selecting a plurality of values within the upper limit value as the configuration information of the distribution transport capacity of the various stationing points.
Optionally, the cost prediction model is a correspondence between the delivery efficiency characteristic information and an economical delivery cost, where the target delivery efficiency characteristic information is the delivery efficiency characteristic information that maximizes the economical delivery cost.
Optionally, the distribution efficiency characteristic information includes an aging information promotion ratio of the stationing distribution capacity and a stationing distribution capacity carrying waybill ratio, where the aging information is a per-capita amount of the stationing distribution capacity per unit time.
Optionally, the determining distribution efficiency characteristic information of the stationing distribution capacity at the scale indicated by each of the stationing distribution capacity configuration information includes: determining the total estimated finished unit quantity of all the stationing point distribution transport capacities under the scale indicated by each stationing point distribution transport capacity configuration information; determining the per-person completion unit quantity of the stationing point delivery capacity according to the estimated completion total unit quantity and the stationing point delivery capacity configuration information; determining the aging information lifting proportion according to the per-person completion unit quantity and the per-person unit quantity of the delivery capacity of the delivery area where the stationing point delivery object is located; and determining the accommodation waybill proportion of the stationing point delivery capacity according to the estimated total amount of the stationing point delivery objects and the estimated order entering amount.
Optionally, the determining of the total number of estimated finished units of delivery capacity of all the stops at the scale comprises: determining estimated timeliness information of the stationing point delivery capacity according to a preset timeliness information promotion proportion and timeliness information of the delivery capacity of the delivery area; determining the estimated finished single quantity of all the stationing point distribution transport capacity in each unit time according to the estimated aging information and the scale; and determining the estimated total unit quantity according to the estimated finished unit quantity in each unit time.
In a second aspect, the present disclosure provides a distribution capacity distribution device, the device comprising: the system comprises an acquisition module, a storage module and a display module, wherein the acquisition module is configured to acquire various types of stationing and distributing capacity configuration information of stationing and distributing objects, and the configuration information is used for indicating the scale of the stationing and distributing capacity; a first determining module configured to determine distribution efficiency characteristic information of the stationing distribution capacity at a scale indicated by each of the stationing distribution capacity configuration information; a second determining module, configured to determine target distribution efficiency characteristic information according to the distribution efficiency characteristic information and a cost prediction model, where the target distribution efficiency characteristic information is distribution efficiency characteristic information corresponding to an optimal solution of the cost prediction model; and the residence distribution transporting capacity distribution module is configured to distribute the residence distribution transporting capacity for the residence distribution object according to the residence distribution transporting capacity configuration information corresponding to the target distribution efficiency characteristic information.
Optionally, the residence distribution capacity configuration information is the number of residence distribution capacities; the acquisition module includes: the upper limit value determining submodule is configured to determine an upper limit value of the quantity according to the estimated incoming quantity of the stationed point delivery objects and the per-capita quantity of delivery capacity of the delivery area where the stationed point delivery objects are located; and the selection submodule is configured to select a plurality of values within the upper limit value as the plurality of types of stationing distribution transport capacity configuration information.
Optionally, the distribution efficiency characteristic information includes an aging information promotion ratio of the stationing distribution capacity and a stationing distribution capacity carrying waybill ratio, where the aging information is a per-capita amount of the stationing distribution capacity per unit time.
Optionally, the first determining module includes: a total estimated finished unit quantity determining submodule configured to determine, for the scale indicated by each of the stationing distribution transportation configuration information, a total estimated finished unit quantity of all stationing distribution transportation at the scale; the per-person completion unit quantity determining submodule is configured to determine the per-person completion unit quantity of the stationing point distribution transportation capacity according to the estimated completion total unit quantity and the stationing point distribution transportation capacity configuration information; the aging information promotion proportion determining submodule is configured to determine the aging information promotion proportion according to the per-person completion unit quantity and the per-person unit quantity of the delivery capacity of the delivery area where the stationing delivery object is located; and the receiving waybill proportion determining submodule is configured to determine the receiving waybill proportion of the stationing point distribution capacity according to the estimated total sheet quantity and the estimated sheet feeding quantity of the stationing point distribution object.
Optionally, the pre-estimated total unit quantity determination submodule includes: the first determining submodule is configured to determine estimated timeliness information of the stagnation point distribution capacity according to a preset timeliness information promotion proportion and timeliness information of the distribution capacity of the distribution area; a second determining submodule configured to determine estimated finished single quantity per unit time of all the stationing point delivery capacity according to the estimated timeliness information and the scale; a third determining submodule configured to determine the estimated total number of finished orders according to the estimated finished orders per unit time.
In a third aspect, the present disclosure provides a computer readable storage medium having stored thereon a computer program which, when executed by a processor, performs the steps of the method provided by the first aspect of the present disclosure.
In a fourth aspect, the present disclosure provides an electronic device comprising: a memory having a computer program stored thereon; a processor for executing the computer program in the memory to implement the steps of the method provided by the first aspect of the present disclosure.
According to the technical scheme, the distribution efficiency characteristic information of the stationing distribution capacity is determined under the scale indicated by each stationing distribution capacity configuration information in consideration of the fact that different stationing distribution capacity scales have great influence on the distribution of orders and the distribution efficiency of the stationing distribution capacity, and the distribution efficiency characteristic information can be used for representing the characteristic information for improving the distribution efficiency of the stationing distribution capacity. And determining target distribution efficiency characteristic information according to the distribution efficiency characteristic information and the cost prediction model, wherein the target distribution efficiency characteristic information can enable the cost prediction model to obtain an optimal solution, so that the stationing distribution capacity is distributed to the stationing distribution objects according to the corresponding stationing distribution capacity configuration information, the distribution cost of the stationing distribution objects can be enabled to reach the optimal purpose, the distribution cost can be effectively optimized, and the distribution efficiency of the stationing distribution capacity is improved. Moreover, the problems of delivery transport capacity waste or insufficient delivery transport capacity caused by manual distribution of stationed delivery transport capacity can be effectively avoided, and the reasonability of delivery transport capacity distribution is improved.
Additional features and advantages of the disclosure will be set forth in the detailed description which follows.
Drawings
The accompanying drawings, which are included to provide a further understanding of the disclosure and are incorporated in and constitute a part of this specification, illustrate embodiments of the disclosure and together with the description serve to explain the disclosure without limiting the disclosure. In the drawings:
FIG. 1 is a flow diagram illustrating a method of distributing capacity assignments according to an exemplary embodiment.
Fig. 2 is a flow chart illustrating a method of obtaining various types of residence distribution capacity configuration information for a residence distribution object in accordance with an exemplary embodiment.
FIG. 3 is a flow chart illustrating a method of determining delivery efficiency characteristic information for a stationed delivery capacity in accordance with an exemplary embodiment.
FIG. 4 is a flow chart illustrating a method of determining a projected complete total singleton of a stagnation delivery capacity in accordance with an exemplary embodiment.
Fig. 5 is a block diagram illustrating a dispatch capacity distribution apparatus according to an exemplary embodiment.
FIG. 6 is a block diagram illustrating an electronic device in accordance with an example embodiment.
FIG. 7 is a block diagram illustrating an electronic device in accordance with another example embodiment.
Detailed Description
The following detailed description of specific embodiments of the present disclosure is provided in connection with the accompanying drawings. It should be understood that the detailed description and specific examples, while indicating the present disclosure, are given by way of illustration and explanation only, not limitation.
First, introduction is made to an application scenario of the present disclosure, and the present disclosure may be applied to various delivery scenarios, such as takeaway delivery, express delivery, supermarket delivery, and the like. The delivery capacity referred to in the following description of the present disclosure may be a delivery operator or a delivery device (e.g., unmanned delivery vehicle, unmanned aerial vehicle, robot, etc.).
Fig. 1 is a flowchart illustrating a delivery capacity allocation method according to an exemplary embodiment, which may be applied to an electronic device with processing capability, such as a terminal, a server, and the like. As shown in FIG. 1, the method may include S101-S104.
In S101, various kinds of stationing delivery capacity configuration information of the stationing delivery objects are acquired.
The configuration information may be used to indicate the size of the stationed distribution capacity. Illustratively, the residence distribution capacity configuration information may refer to a quantity of the residence distribution capacity by which a scale of the residence distribution capacity is indicated.
In S102, distribution efficiency characteristic information of the stationing distribution capacity at a scale indicated by each of the stationing distribution capacity configuration information is determined.
The scale of the different stationing distribution capacities has a great influence on the distribution of orders and the distribution efficiency of the stationing distribution capacities. For example, the larger the scale of the stationing distribution capacity is, the more the distribution capacity may be wasted, and the smaller the per-capita unit amount of the stationing distribution capacity is; the smaller the size of the stationing distribution capacity, the relatively greater the per-capita volume of the stationing distribution capacity, which may, however, easily lead to order timeouts due to insufficient distribution capacity. Thus, different delivery capacity scales have different effects on the delivery efficiency of the stationed delivery capacity therein.
In this step, for the scale indicated by each of the stationing distribution transportation capacity configuration information, the distribution efficiency characteristic information of the stationing distribution transportation capacity at the scale is determined. The delivery efficiency characteristic information can be used for characterizing delivery efficiency of improving the parking point delivery capacity. For example, the delivery efficiency characteristic information may include a time efficiency information promotion ratio of the stationing delivery capacity, and a stationing delivery capacity and waybill ratio. The time efficiency information is the per-person unit quantity of the stationing distribution transport capacity in unit time, and the stationing distribution transport capacity receiving transport capacity proportion is the proportion of orders distributed by the stationing distribution transport capacity to all orders.
In S103, target distribution efficiency characteristic information is determined based on the distribution efficiency characteristic information and the cost prediction model. And the target distribution efficiency characteristic information is distribution efficiency characteristic information corresponding to the optimal solution of the cost prediction model.
After determining the distribution efficiency characteristic information of the stationing distribution capacity at the scale indicated by each stationing distribution capacity configuration information, the distribution efficiency characteristic information corresponding to each stationing distribution capacity configuration information may be input into a cost prediction model, respectively, where the cost prediction model may be a prediction model about distribution costs, and the distribution efficiency characteristic information enabling the cost prediction model to obtain an optimal solution may be used as the target distribution efficiency characteristic information.
In S104, the stationing distribution capacity is allocated to the stationing distribution target according to the stationing distribution capacity configuration information corresponding to the target distribution efficiency characteristic information.
The target distribution efficiency characteristic information enables the cost prediction model to obtain an optimal solution, and therefore, according to the corresponding stationing point distribution capacity configuration information, stationing point distribution capacity is distributed to stationing point distribution objects, and the purpose that the distribution cost of the stationing point distribution objects is optimal can be achieved.
In an optional embodiment, the residence distribution transporting capacity configuration information may be the number of residence distribution transporting capacities, the residence distribution transporting capacities are allocated to the residence distribution targets according to the residence distribution transporting capacity configuration information, and the number of residence distribution transporting capacities corresponding to the configuration information may be allocated to the residence distribution targets.
According to the technical scheme, the distribution efficiency characteristic information of the stationing distribution capacity is determined under the scale indicated by each stationing distribution capacity configuration information in consideration of the fact that different stationing distribution capacity scales have great influence on the distribution of orders and the distribution efficiency of the stationing distribution capacity, and the distribution efficiency characteristic information can be used for representing the characteristic information for improving the distribution efficiency of the stationing distribution capacity. And determining target distribution efficiency characteristic information according to the distribution efficiency characteristic information and the cost prediction model, wherein the target distribution efficiency characteristic information can enable the cost prediction model to obtain an optimal solution, so that the stationing distribution capacity is distributed to the stationing distribution objects according to the corresponding stationing distribution capacity configuration information, the distribution cost of the stationing distribution objects can be enabled to reach the optimal purpose, the distribution cost can be effectively optimized, and the distribution efficiency of the stationing distribution capacity is improved. Moreover, the problems of delivery transport capacity waste or insufficient delivery transport capacity caused by manual distribution of stationed delivery transport capacity can be effectively avoided, and the reasonability of delivery transport capacity distribution is improved.
For example, the residence distribution capacity configuration information may be the amount of residence distribution capacity. Accordingly, an exemplary embodiment of acquiring various types of residence distribution capacity configuration information of the residence distribution object in S101 may be as shown in fig. 2, including S201 and S202.
In S201, an upper limit value of the estimated entry amount of the stationed delivery objects and the per-capita amount of delivery capacity of the delivery area where the stationed delivery objects are located is determined.
The estimated purchase order amount of the stationing point distribution object can be the sum of the estimated purchase order amounts of all merchants in the stationing point distribution object. The estimated purchase amount of each merchant may be determined according to any estimated purchase amount manner in the related art. For example, historical invoice amounts for the merchant, weather conditions, whether to be holidays, whether to have promotional programs, and the like may be aggregated to predict the invoice amount for the merchant. In addition, since the distribution field has a next peak period, such as a peak in the noon and a peak in the evening, when the bill amount of the stationary distribution object is estimated, the bill amount per unit time can be estimated respectively.
In the following description, the present disclosure is explained by taking the unit time as an example, but the present disclosure is not limited to the embodiments of the present disclosure. For example, the estimated order amount per unit time may be an estimated order amount per hour, and the estimated order amount of the stationed distribution object may represent the estimated order amount of the stationed distribution object for one day.
In one embodiment, assume WiThe estimated purchase amount of the residence distribution object in the ith hour is represented, and the value of i can be determined according to the business hours of the merchants. Sigma WiThe sum of the estimated bills of entrance of the stationing distribution object in each hour is represented, and for example, the estimated bills of entrance of the stationing distribution object in each day can be represented.
For example, according to the estimated order amount of the stationing delivery objects and the per-person order amount of the delivery capacity of the delivery area where the stationing delivery objects are located, the upper limit value of the number of stationing delivery capacities may be determined by the following formula (1):
Figure BDA0002540927840000061
wherein N ismaxRepresents the upper limit value, ∑ WiEstimated order quantity, E, representing stationed delivery objectsoldAnd a man-uniform amount indicating the delivery capacity of the delivery area where the stationed delivery objects are located.
In S202, a plurality of values within the upper limit value are selected as the configuration information of the plurality of stationing distribution transportation capacities.
The plurality of values within the upper limit value may be a plurality of continuous values or a plurality of discontinuous values, and the present disclosure is not particularly limited.
Through the technical scheme, the standing point distribution capacity mainly distributes the orders of the distribution area where the standing point distribution object is located before the standing point distribution object starts the standing point distribution mode. In the present disclosure, in order to increase the per-capita unit amount of the delivery capacity of the stationing point after the stationing point delivery mode is started, the upper limit value is determined according to the estimated entry unit amount of the stationing point delivery object and the per-capita unit amount of the delivery capacity of the delivery area. When the number of the stationing point distribution transportation capacity is smaller than or equal to the upper limit value, after the stationing point distribution mode is started, the per-capita unit amount of the stationing point distribution transportation capacity can be larger than or equal to the original per-capita unit amount, so that the aim of improving the distribution efficiency of the stationing point distribution transportation capacity can be fulfilled.
The cost prediction model in the present disclosure is described below. In order to better understand the construction process of the cost prediction model and the optimal solution solving process in the present disclosure, first, each parameter involved in the cost prediction model is explained.
ColdThe average cost value of historical orders representing the delivery area where the stationed delivery object is located. The cost value refers to the cost value which needs to be paid by the order placing user for the historical order. The meaning of the value characterizing the present disclosure is not particularly limited. For example, the cost value may refer to a delivery parameter that the ordering user needs to pay, or a length of time that the ordering user needs to wait for an item, or may also be used to characterize a length of time that an order is pressed. The historical orders may be orders generated over a historical preset period of time (e.g., a previous week, month, etc.).
CnewIndicating the average value of the orders in the stationing delivery objects after the stationing delivery mode is started.
EoldAnd a man-uniform amount indicating the delivery capacity of the delivery area where the stationed delivery objects are located.
EnewAfter the standing point distribution mode is started, the persons of the standing point distribution capacity finish the single quantity.
W represents the actual inventory amount of the stationed delivery object.
WiIndicating that the stationed delivery object is at the secondEstimated budget for i hours.
PiRepresenting the estimated finished unit of the stopping point delivery capacity at the ith hour.
Figure BDA0002540927840000071
And time efficiency information indicating the delivery capacity of the delivery area where the stationing delivery objects are located at the ith hour.
Figure BDA0002540927840000072
And indicating the estimated aging information of the stopping point delivery capacity in the ith hour after the stopping point delivery mode is started.
Figure BDA0002540927840000073
And the minimum value of the aging information of the stationing distribution capacity after the stationing distribution mode is started is shown.
Figure BDA0002540927840000074
And the maximum value of the aging information of the stationing distribution capacity after the stationing distribution mode is started is shown.
S represents a delivery cost savings.
RefficiencyAnd the time efficiency information representing the stationed distribution transport capacity is increased in proportion.
R'efficiencyAnd the preset aging information promotion proportion represents the stagnation point distribution capacity.
RfinishIndicating the standing point delivery capacity take on waybill ratio.
RincomeAnd the per-capita profit promotion proportion representing the stationing distribution capacity can be preset.
The process of constructing the cost prediction model will be described below.
After the standing point distribution mode is started, the per-capita profit promotion ratio of the expected standing point distribution capacity is RincomeIt can be expressed by the following formula (2):
Cold×Eold×(1+Rincome)＝Cnew×Eold×(1+Refficiency) (2)
average cost value C of orders in stationed delivery objectsnewCan be expressed by the following formula (3):
Figure BDA0002540927840000081
after the standing point delivery mode is turned on, the saved order average cost value can be expressed by the following formula (4):
Figure BDA0002540927840000082
after the standing point distribution mode is further started, the distribution cost saving S can be expressed by the following formula (5):
Figure BDA0002540927840000083
wherein, the actual order amount W of the stationed delivery object and the average cost value C of the historical orders of the delivery area where the stationed delivery object is locatedoldSince the parameters are known, the optimal solution of the cost prediction model can be converted into the following formula (6):
Figure BDA0002540927840000084
the cost prediction model may be a correspondence between delivery efficiency characteristic information and saved delivery costs, and the delivery efficiency characteristic information may include a time efficiency information promotion ratio R of the stationed delivery capacityefficiencyThe ratio R of the delivery capacity of the stationing point to the receiving waybillfinish. The target distribution efficiency characteristic information determined in S103 may be distribution efficiency characteristic information that maximizes the distribution cost saving.
An exemplary embodiment of determining the distribution efficiency characteristic information of the stationing distribution capacity at the scale indicated by each of the stationing distribution capacity configuration information in S102 may include S301 to S304 as shown in fig. 3.
In S301, for the scale indicated by each of the stationing distribution capacity configuration information, the estimated total unit amount of all the stationing distribution capacities at that scale is determined.
For example, the estimated total finished units may be an estimated total of all of the parking delivery capacity units completed in one day, and may be determined based on the estimated total of all of the parking delivery capacity units in a unit of time (e.g., per hour). That is, an exemplary embodiment of S301 may include S3011 to S3013 as shown in fig. 4.
In S3011, according to the preset aging information promotion ratio and the aging information of the delivery capacity of the delivery area, estimated aging information of the stationing point delivery capacity is determined.
The preset aging information increase ratio may be preset, and it is desirable that the aging information of the stagnation point delivery capacity is increased as compared with the increase ratio before the stagnation point delivery mode is started. Because the distribution field has a single peak period and an off-peak period, the estimated aging information may be different at different times. For example, the estimated age information may be determined by the following equation (7):
Figure BDA0002540927840000091
in S3012, estimated finished units in each unit time of all the stationing point delivery capacity are determined according to the estimated aging information and the scale.
For example, the estimated completion units per unit time may be determined by the following equation (8):
Figure BDA0002540927840000092
where N represents the scale indicated by the residence distribution capacity configuration information, such as the number of residence distribution capacities.
In S3013, the estimated total number of completed orders is determined based on the estimated completed orders per unit time.
Adding the estimated completion units in each unit time to obtain the estimated completion total unit, i.e. sigma Pi。
In S302, the per-capita completion unit amount of the stationing distribution transportation capacity is determined according to the estimated completion total unit amount and the stationing distribution transportation capacity configuration information.
For example, it may be determined by equation (9) below that the person standing the point delivery capacity is all completing a single quantity:
Figure BDA0002540927840000093
in S303, the aging information increase ratio is determined according to the per-person completion unit amount and the per-person unit amount of the delivery capacity of the delivery area in which the stationed delivery object is located.
For example, the age information improvement ratio may be determined by the following equation (10):
Figure BDA0002540927840000094
in S304, the receiving waybill proportion of the stationing point delivery capacity is determined according to the estimated total number of the stationing point delivery objects and the estimated incoming waybill amount.
Illustratively, the standing point delivery capacity versus waybill ratio may be determined by equation (11) as follows:
Figure BDA0002540927840000101
it should be noted that, with respect to the execution sequence of S302 and S304, the present disclosure is not limited in particular, S304 may also be executed before S302, or both may also be executed in parallel, and fig. 3 is only an exemplary illustration and does not constitute a limitation to the embodiments of the present disclosure.
According to the technical scheme, the distribution efficiency characteristic information of the stationing distribution capacity under the scale indicated by each stationing distribution capacity configuration information can be determined, then, the distribution efficiency characteristic information corresponding to the scales of different stationing distribution capacities is respectively input into the cost prediction model, the corresponding saved distribution cost is obtained, and the distribution efficiency characteristic information with the largest saved distribution cost is the target distribution efficiency characteristic information. According to the stationing point distribution transport capacity configuration information corresponding to the target distribution efficiency characteristic information, the stationing point distribution transport capacity is distributed for the stationing point distribution objects, distribution cost can be effectively optimized, and distribution efficiency is improved.
Based on the same inventive concept, the present disclosure also provides a distribution capacity distribution apparatus, and fig. 5 is a block diagram illustrating a distribution capacity distribution apparatus according to an exemplary embodiment, as shown in fig. 5, the apparatus 500 may include:
an obtaining module 501, configured to obtain various types of residence distribution transportation configuration information of residence distribution objects, where the configuration information is used to indicate a scale of the residence distribution transportation; a first determining module 502 configured to determine distribution efficiency characteristic information of the stationing distribution capacity at a scale indicated by each of the stationing distribution capacity configuration information; a second determining module 503, configured to determine target distribution efficiency characteristic information according to the distribution efficiency characteristic information and a cost prediction model, where the target distribution efficiency characteristic information is distribution efficiency characteristic information corresponding to an optimal solution of the cost prediction model; and a stationing distribution capacity distribution module 504 configured to distribute the stationing distribution capacity to the stationing distribution objects according to the stationing distribution capacity configuration information corresponding to the target distribution efficiency characteristic information.
According to the technical scheme, the distribution efficiency characteristic information of the stationing distribution capacity is determined under the scale indicated by each stationing distribution capacity configuration information in consideration of the fact that different stationing distribution capacity scales have great influence on the distribution of orders and the distribution efficiency of the stationing distribution capacity, and the distribution efficiency characteristic information can be used for representing the characteristic information for improving the distribution efficiency of the stationing distribution capacity. And determining target distribution efficiency characteristic information according to the distribution efficiency characteristic information and the cost prediction model, wherein the target distribution efficiency characteristic information can enable the cost prediction model to obtain an optimal solution, so that the stationing distribution capacity is distributed to the stationing distribution objects according to the corresponding stationing distribution capacity configuration information, the distribution cost of the stationing distribution objects can be enabled to reach the optimal purpose, the distribution cost can be effectively optimized, and the distribution efficiency of the stationing distribution capacity is improved. Moreover, the problems of delivery transport capacity waste or insufficient delivery transport capacity caused by manual distribution of stationed delivery transport capacity can be effectively avoided, and the reasonability of delivery transport capacity distribution is improved.
Optionally, the residence distribution capacity configuration information is the number of residence distribution capacities; the obtaining module 501 may include: the upper limit value determining submodule is configured to determine an upper limit value of the quantity according to the estimated incoming quantity of the stationed point delivery objects and the per-capita quantity of delivery capacity of the delivery area where the stationed point delivery objects are located; and the selection submodule is configured to select a plurality of values within the upper limit value as the plurality of types of stationing distribution transport capacity configuration information.
Optionally, the distribution efficiency characteristic information includes an aging information promotion ratio of the stationing distribution capacity and a stationing distribution capacity carrying waybill ratio, where the aging information is a per-capita amount of the stationing distribution capacity per unit time.
Optionally, the first determining module 502 may include: a total estimated finished unit quantity determining submodule configured to determine, for the scale indicated by each of the stationing distribution transportation configuration information, a total estimated finished unit quantity of all stationing distribution transportation at the scale; the per-person completion unit quantity determining submodule is configured to determine the per-person completion unit quantity of the stationing point distribution transportation capacity according to the estimated completion total unit quantity and the stationing point distribution transportation capacity configuration information; the aging information promotion proportion determining submodule is configured to determine the aging information promotion proportion according to the per-person completion unit quantity and the per-person unit quantity of the delivery capacity of the delivery area where the stationing delivery object is located; and the receiving waybill proportion determining submodule is configured to determine the receiving waybill proportion of the stationing point distribution capacity according to the estimated total sheet quantity and the estimated sheet feeding quantity of the stationing point distribution object.
Optionally, the pre-estimated total unit quantity determination submodule includes: the first determining submodule is configured to determine estimated timeliness information of the stagnation point distribution capacity according to a preset timeliness information promotion proportion and timeliness information of the distribution capacity of the distribution area; a second determining submodule configured to determine estimated finished single quantity per unit time of all the stationing point delivery capacity according to the estimated timeliness information and the scale; a third determining submodule configured to determine the estimated total number of finished orders according to the estimated finished orders per unit time.
With regard to the apparatus in the above-described embodiment, the specific manner in which each module performs the operation has been described in detail in the embodiment related to the method, and will not be elaborated here.
Fig. 6 is a block diagram illustrating an electronic device 600 according to an example embodiment. As shown in fig. 6, the electronic device 600 may include: a processor 601 and a memory 602. The electronic device 600 may also include one or more of a multimedia component 603, an input/output (I/O) interface 604, and a communications component 605.
The processor 601 is configured to control the overall operation of the electronic device 600 to complete all or part of the steps of the above-described distribution capacity allocation method. The memory 602 is used to store various types of data to support operation at the electronic device 600, such as instructions for any application or method operating on the electronic device 600 and application-related data, such as contact data, transmitted and received messages, pictures, audio, video, and so forth. The Memory 602 may be implemented by any type of volatile or non-volatile Memory device or combination thereof, such as Static Random Access Memory (SRAM), Electrically Erasable Programmable Read-Only Memory (EEPROM), Erasable Programmable Read-Only Memory (EPROM), Programmable Read-Only Memory (PROM), Read-Only Memory (ROM), magnetic Memory, flash Memory, magnetic disk or optical disk. The multimedia components 603 may include a screen and audio components. Wherein the screen may be, for example, a touch screen and the audio component is used for outputting and/or inputting audio signals. For example, the audio component may include a microphone for receiving external audio signals. The received audio signal may further be stored in the memory 602 or transmitted through the communication component 605. The audio assembly also includes at least one speaker for outputting audio signals. The I/O interface 604 provides an interface between the processor 601 and other interface modules, such as a keyboard, mouse, buttons, etc. These buttons may be virtual buttons or physical buttons. The communication component 605 is used for wired or wireless communication between the electronic device 600 and other devices. Wireless Communication, such as Wi-Fi, bluetooth, Near Field Communication (NFC), 2G, 3G, 4G, NB-IOT, eMTC, or other 5G, etc., or a combination of one or more of them, which is not limited herein. The corresponding communication component 605 may therefore include: Wi-Fi module, Bluetooth module, NFC module, etc.
In an exemplary embodiment, the electronic Device 600 may be implemented by one or more Application Specific Integrated Circuits (ASICs), Digital Signal Processors (DSPs), Digital Signal Processing Devices (DSPDs), Programmable Logic Devices (PLDs), Field Programmable Gate Arrays (FPGAs), controllers, microcontrollers, microprocessors, or other electronic components for performing the distribution capacity distribution method.
In another exemplary embodiment, a computer readable storage medium is also provided comprising program instructions which, when executed by a processor, implement the steps of the dispatch capacity allocation method described above. For example, the computer readable storage medium may be the memory 602 described above that includes program instructions that are executable by the processor 601 of the electronic device 600 to perform the distribution capacity allocation method described above.
Fig. 7 is a block diagram illustrating an electronic device 700 in accordance with another example embodiment. For example, the electronic device 700 may be provided as a server. Referring to fig. 7, an electronic device 700 includes a processor 722, which may be one or more in number, and a memory 732 for storing computer programs that are executable by the processor 722. The computer programs stored in memory 732 may include one or more modules that each correspond to a set of instructions. Further, the processor 722 may be configured to execute the computer program to perform the dispatch capacity allocation method described above.
Additionally, the electronic device 700 may also include a power component 726 that may be configured to perform power management of the electronic device 700 and a communication component 750 that may be configured to enable communication, e.g., wired or wireless communication, of the electronic device 700. The electronic device 700 may also include input/output (I/O) interfaces 758. The electronic device 700 may operate based on an operating system, such as Windows Server, stored in the memory 732TM，Mac OS XTM，UnixTM，LinuxTMAnd so on.
In another exemplary embodiment, a computer readable storage medium is also provided comprising program instructions which, when executed by a processor, implement the steps of the dispatch capacity allocation method described above. For example, the computer readable storage medium may be the memory 732 described above including program instructions that are executable by the processor 722 of the electronic device 700 to perform the distribution capacity allocation method described above.
In another exemplary embodiment, a computer program product is also provided, which comprises a computer program executable by a programmable apparatus, the computer program having code portions for performing the above-described dispatch capacity allocation method when executed by the programmable apparatus.
The preferred embodiments of the present disclosure are described in detail with reference to the accompanying drawings, however, the present disclosure is not limited to the specific details of the above embodiments, and various simple modifications may be made to the technical solution of the present disclosure within the technical idea of the present disclosure, and these simple modifications all belong to the protection scope of the present disclosure.
It should be noted that, in the foregoing embodiments, various features described in the above embodiments may be combined in any suitable manner, and in order to avoid unnecessary repetition, various combinations that are possible in the present disclosure are not described again.
In addition, any combination of various embodiments of the present disclosure may be made, and the same should be considered as the disclosure of the present disclosure, as long as it does not depart from the spirit of the present disclosure.

Claims (10)

1. A method of distributing capacity, the method comprising:
acquiring various stationing point distribution capacity configuration information of stationing point distribution objects, wherein the configuration information is used for indicating the scale of the stationing point distribution capacity;
determining distribution efficiency characteristic information of the stationing distribution transportation capacity at the scale indicated by each stationing distribution transportation capacity configuration information;
determining target distribution efficiency characteristic information according to the distribution efficiency characteristic information and a cost prediction model, wherein the target distribution efficiency characteristic information is distribution efficiency characteristic information corresponding to the optimal solution of the cost prediction model;
and distributing the stationing point distribution capacity for the stationing point distribution objects according to the stationing point distribution capacity configuration information corresponding to the target distribution efficiency characteristic information.
2. The method of claim 1, wherein the stagnation distribution capacity configuration information is a quantity of the stagnation distribution capacity;
the acquiring of the configuration information of the various stationing distribution transportation capacities of the stationing distribution objects includes:
determining the upper limit value of the number according to the estimated order quantity of the stationing point distribution objects and the per-capita order quantity of distribution capacity of distribution areas where the stationing point distribution objects are located;
and selecting a plurality of values within the upper limit value as the configuration information of the distribution transport capacity of the various stationing points.
3. The method according to claim 1, wherein the cost prediction model is a correspondence between the delivery efficiency characteristic information and an economical delivery cost, and wherein the target delivery efficiency characteristic information is delivery efficiency characteristic information that maximizes the economical delivery cost.
4. The method of claim 1, wherein the delivery efficiency characteristic information comprises an aging information promotion ratio of the stationing delivery capacity and a stationing delivery capacity acceptance waybill ratio, wherein the aging information is a per-person average amount of the stationing delivery capacity per unit time.
5. The method of claim 4, wherein determining delivery efficiency characteristics of the stationed delivery capacity at the scale indicated by each of the stationed delivery capacity configuration information comprises:
determining the total estimated finished unit quantity of all the stationing point distribution transport capacities under the scale indicated by each stationing point distribution transport capacity configuration information;
determining the per-person completion unit quantity of the stationing point delivery capacity according to the estimated completion total unit quantity and the stationing point delivery capacity configuration information;
determining the aging information lifting proportion according to the per-person completion unit quantity and the per-person unit quantity of the delivery capacity of the delivery area where the stationing point delivery object is located;
and determining the accommodation waybill proportion of the stationing point delivery capacity according to the estimated total amount of the stationing point delivery objects and the estimated order entering amount.
6. The method of claim 5, wherein said determining a total number of estimated finished units of delivery capacity for all of the stops at the scale comprises:
determining estimated timeliness information of the stationing point delivery capacity according to a preset timeliness information promotion proportion and timeliness information of the delivery capacity of the delivery area;
determining the estimated finished single quantity of all the stationing point distribution transport capacity in each unit time according to the estimated aging information and the scale;
and determining the estimated total unit quantity according to the estimated finished unit quantity in each unit time.
7. A distribution capacity distribution device, the device comprising:
the system comprises an acquisition module, a storage module and a display module, wherein the acquisition module is configured to acquire various types of stationing and distributing capacity configuration information of stationing and distributing objects, and the configuration information is used for indicating the scale of the stationing and distributing capacity;
a first determining module configured to determine distribution efficiency characteristic information of the stationing distribution capacity at a scale indicated by each of the stationing distribution capacity configuration information;
a second determining module, configured to determine target distribution efficiency characteristic information according to the distribution efficiency characteristic information and a cost prediction model, where the target distribution efficiency characteristic information is distribution efficiency characteristic information corresponding to an optimal solution of the cost prediction model;
and the residence distribution transporting capacity distribution module is configured to distribute the residence distribution transporting capacity for the residence distribution object according to the residence distribution transporting capacity configuration information corresponding to the target distribution efficiency characteristic information.
8. The apparatus of claim 7, wherein the stagnation distribution capacity configuration information is a quantity of the stagnation distribution capacity; the acquisition module includes:
the upper limit value determining submodule is configured to determine an upper limit value of the quantity according to the estimated incoming quantity of the stationed point delivery objects and the per-capita quantity of delivery capacity of the delivery area where the stationed point delivery objects are located;
and the selection submodule is configured to select a plurality of values within the upper limit value as the plurality of types of stationing distribution transport capacity configuration information.
9. A computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out the steps of the method according to any one of claims 1 to 6.
10. An electronic device, comprising:
a memory having a computer program stored thereon;
a processor for executing the computer program in the memory to carry out the steps of the method of any one of claims 1 to 6.
CN202010546580.XA 2020-06-15 2020-06-15 Distribution transport capacity distribution method, distribution transport capacity distribution device, storage medium and electronic equipment Pending CN113807557A (en)

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Application publication date: 20211217