CN112750003A - Order distribution method, device, storage medium and electronic equipment - Google Patents
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Abstract
The specification discloses an order distribution method, an order distribution device, a storage medium and electronic equipment, wherein for the distribution of orders of a specified merchant, a proper distribution capacity can be selected preferentially from the store-resident distribution capacities, if the proper store-resident distribution capacity does not exist, the proper distribution capacity is selected from all the distribution capacities, the matching relation of the orders and the store-resident distribution capacities in quantity is considered, when the orders and the store-resident distribution capacities are matched in quantity, the store-resident distribution capacities are preferentially adopted for distributing the orders, and when the orders and the store-resident distribution capacities are not matched in quantity, namely the store-resident distribution capacities are not suitable for distributing the orders, the non-store-resident distribution capacities can be flexibly adopted for distribution, so that the problem existing in order distribution is solved.
Description
Technical Field
The present application relates to the field of intelligent allocation technologies, and in particular, to a method, an apparatus, a storage medium, and an electronic device for order allocation.
Background
At present, an Online To Offline (O2O) mode is widely applied To daily life, and when a user places an order, the user often selects a merchant with high quality and good public praise, so that the order quantity of popular merchants is far larger than that of common merchants on a ranking list of merchants.
In the existing method for distributing orders, orders of popular merchants and ordinary merchants are generally distributed to distribution capacity indiscriminately, all the distribution capacity can receive orders of all the merchants and provide order distribution service, and taking a takeaway scene as an example, all riders can distribute takeaway distribution orders of the popular merchants or the ordinary merchants.
An order distribution method for hot merchants is to set a binding relationship between a hot merchant and a distribution capacity, distribute an order of the hot merchant in the binding relationship to the distribution capacity (hereinafter referred to as a store-resident distribution capacity) in the binding relationship, distribute an order of a common merchant to other distribution capacities (hereinafter referred to as a store-resident distribution capacity), that is, distribute the order of the hot merchant to the store-resident distribution capacity, and distribute the order of the common merchant to the store-resident distribution capacity.
However, the above order allocation method for the hot merchants does not consider the matching relationship between the orders of the hot merchants and the store-resident distribution capacity in quantity, and particularly when the quantity of the orders of the hot merchants is too large and the quantity of the allocated orders of the store-resident distribution capacity is saturated, the orders of the hot merchants to be allocated cannot be allocated to the store-resident distribution capacity, so that the orders of the hot merchants to be allocated are allocated with time-out and unmanned distribution problems.
Disclosure of Invention
The embodiments of the present specification provide an order distribution method, an order distribution apparatus, a storage medium, and an electronic device, so as to partially solve the above problems in the prior art.
The embodiment of the specification adopts the following technical scheme:
the present specification provides a method for order allocation, which includes:
acquiring an order for a specified merchant;
for each distribution capacity having a binding relationship with the specified merchant, determining distribution efficiency of the distribution capacity for distributing the order under the condition that the order is distributed to the distribution capacity according to the acquired information of the order;
judging whether the determined distribution capacity with the distribution efficiency larger than a first preset distribution efficiency threshold exists in the distribution capacity with the binding relation with the specified merchant;
if so, selecting specified delivery capacity from the delivery capacities having the binding relationship with the specified merchant, and distributing the order to the specified delivery capacity;
otherwise, a specified delivery capacity is selected among all the delivery capacities, and the order is assigned to the specified delivery capacity.
Optionally, the determining, according to the obtained information of the order, a delivery efficiency of the delivery capacity for delivering the order when the order is assigned to the delivery capacity includes:
determining the overtime risk of the distribution capacity for distributing the order under the condition that the order is distributed to the distribution capacity according to the information of the order; and/or, the distribution distance in the order information; and/or the distribution direction of the distribution power for distributing the orders forms an included angle with the direction for distributing the distributed orders forms;
and determining the distribution efficiency of the distribution capacity for distributing the orders according to at least one of the determined overtime risk, the distribution distance and the direction included angle.
Optionally, the selecting specifies a delivery capacity, comprising:
and selecting the delivery capacity with the highest delivery efficiency as the designated delivery capacity according to the determined delivery efficiency.
Optionally, before allocating the order to the specified delivery capacity, the method further comprises:
judging whether the order conforms to an order pressing condition;
and if the order pressing condition is met, performing order pressing processing on the order.
Optionally, the determining whether the order conforms to a pressure bar condition includes:
judging whether the direction included angle is larger than a preset included angle threshold value or not, and if so, enabling the order to accord with a list pressing condition; and/or the presence of a gas in the gas,
and judging whether the overtime risk exceeds a preset overtime risk threshold value, and if the overtime risk does not exceed the preset overtime risk threshold value, the order conforms to the order pressing condition.
Optionally, the obtaining an order for a specified merchant includes:
at the current scheduling moment, determining an order in a pressing state for the specified merchant as an order to be selected;
determining the order to be selected which accords with the recovery condition in the order to be selected;
and acquiring the to-be-selected order meeting the recovery conditions as an acquired order at least partially aiming at a specified merchant.
Optionally, the determining, in the candidate orders, a candidate order meeting the recovery condition includes:
aiming at each order to be selected, judging whether the distribution efficiency of the selected order to be distributed by the appointed distribution capacity selected by the order to be selected is smaller than a second preset distribution efficiency threshold value or not, and if the judgment result is smaller than the second preset distribution efficiency threshold value, enabling the order to be selected to accord with the recovery condition; and/or the presence of a gas in the gas,
and judging whether the specified delivery capacity selected for the to-be-selected order is the delivery capacity with the binding relationship with the specified merchant, and if not, determining that the to-be-selected order meets the recovery condition.
The present specification provides an order distribution apparatus comprising:
the acquisition module is used for acquiring orders aiming at a specified merchant;
the determining module is used for determining the distribution efficiency of the order distributed by the distribution capacity under the condition that the order is distributed to the distribution capacity according to the acquired information of the order for each distribution capacity having the binding relation with the specified merchant;
the judging module is used for judging whether the determined distribution capacity with the distribution efficiency larger than a first preset distribution efficiency threshold exists in the distribution capacity with the binding relation with the specified merchant;
the first distribution module is used for selecting the appointed distribution capacity from the distribution capacities which have the binding relationship with the appointed merchants and distributing the order to the appointed distribution capacity when the judgment result of the judgment module is yes;
and the second distribution module is used for selecting the appointed distribution capacity from all the distribution capacities and distributing the order to the appointed distribution capacity when the judgment result of the judgment module is negative.
The present specification provides a computer-readable storage medium, wherein the storage medium stores a computer program, and the computer program, when executed by a processor, implements the order distribution method described above.
The electronic device provided by the present specification includes a memory, a processor, and a computer program stored on the memory and executable on the processor, wherein the processor implements the order allocation method when executing the program.
The embodiment of the specification adopts at least one technical scheme which can achieve the following beneficial effects:
the method aims at the distribution of orders of a specified merchant, can preferentially select proper distribution capacity from the store-in distribution capacity, selects proper distribution capacity from all distribution capacities if no proper store-in distribution capacity exists, considers the matching relation of the orders and the store-in distribution capacity in terms of quantity, preferentially adopts the store-in distribution capacity to distribute the orders when the orders and the store-in distribution capacity are matched in terms of quantity, and flexibly adopts partial non-store-in distribution capacity to distribute when the orders and the store-in distribution capacity are not matched in terms of quantity, namely the store-in distribution capacity is not suitable for distributing the orders, thereby solving the problem existing in order distribution.
Drawings
The accompanying drawings, which are included to provide a further understanding of the application and are incorporated in and constitute a part of this application, illustrate embodiment(s) of the application and together with the description serve to explain the application and not to limit the application. In the drawings:
FIG. 1 is a flow chart of a method for order allocation provided by an embodiment of the present disclosure;
FIG. 2 is a schematic diagram illustrating a path for delivering a capacity delivery order according to an embodiment of the present disclosure;
FIG. 3 is a flow chart illustrating a scheduling process of another method for order distribution according to an embodiment of the present disclosure;
FIG. 4 is a flow chart of another method for order allocation provided by embodiments of the present disclosure;
FIG. 5 is a schematic structural diagram of an order distribution apparatus provided in an embodiment of the present disclosure;
fig. 6 is a schematic diagram of an electronic device corresponding to fig. 1 provided in an embodiment of the present disclosure.
Detailed Description
In order to make the objects, technical solutions and advantages of the present disclosure more apparent, the technical solutions of the present disclosure will be clearly and completely described below with reference to the specific embodiments of the present disclosure and the accompanying drawings. It should be apparent that the described embodiments are only some of the embodiments of the present application, and not all of the embodiments. All other embodiments obtained by a person skilled in the art based on the embodiments in the present specification without any inventive step are within the scope of the present application.
The technical solutions provided by the embodiments of the present application are described in detail below with reference to the accompanying drawings.
Fig. 1 is a flowchart of an order allocation method provided in an embodiment of the present disclosure, which may specifically include the following steps:
s100: an order for a specified merchant is obtained.
The order distribution method provided by the specification can be applied to various scenes, for example, in a takeaway distribution scene, when a takeaway distribution order of a hot merchant is distributed, a store-standing rider having a binding relationship with the hot merchant can be considered preferentially, when the takeaway distribution order is not suitable for being distributed to the store-standing rider, the suitable rider can be selected as a designated rider from all riders, and the takeaway distribution order is distributed to the designated rider; in a fresh goods delivery scenario (for example, delivering vegetables and fruits), when a fresh goods delivery order of a hot merchant is distributed, a store-standing deliverer having a binding relationship with the hot merchant may be preferentially considered, and when the fresh goods delivery order is not suitable for being distributed to the store-standing deliverer, a suitable deliverer may be selected as a specified deliverer from among all the deliverers, and the fresh goods delivery order may be distributed to the specified deliverer.
In this specification, since a user often selects a high-quality and well-beheaded merchant when placing an order, on a ranking list of merchants, the order quantity of popular merchants is much larger than that of ordinary merchants, and the order distribution method in this specification sets a binding relationship between popular merchants and distribution capacity, mainly solving the problem of order distribution for popular merchants.
Therefore, as can be seen from the above, the specified merchant refers to a hot merchant having a binding relationship with the delivery capacity, and the order for the specified merchant is obtained, that is, the obtained order refers to an order of the specified merchant selected by the user when placing an order.
S102: and determining the distribution efficiency of the distribution capacity for distributing the order to the distribution capacity under the condition that the order is distributed to the distribution capacity according to the acquired information of the order for each distribution capacity having a binding relationship with the specified merchant.
Since the present specification mainly considers that an order of a specified merchant is preferentially allocated to a distribution capacity having a binding relationship with the specified merchant (hereinafter, referred to as a store-in distribution capacity), when a distribution efficiency of all store-in distribution capacities is not greater than a first preset distribution efficiency threshold (that is, in the store-in distribution capacity, the order cannot be allocated to an appropriate store-in distribution capacity) and a distribution efficiency of the order to the non-store-in distribution capacity is determined in a case where the order is allocated to the store-in distribution capacity based on information of the acquired order, a distribution efficiency of the order to the store-in distribution capacity is determined, and when the distribution efficiency of all store-in distribution capacities is not greater than the first preset distribution efficiency threshold (that is, in the store-in distribution capacity, the order cannot be allocated to the appropriate store-in distribution capacity), a case where the order is determined to be allocated to the non-store-in distribution capacity based on information of the acquired order, the non-store delivery capacity delivers delivery efficiency of the order.
The order obtained in step S100 may determine that the information of the order includes at least one of information such as, but not limited to, a time when the user places the order, a location where the user is located, a name of a merchant, a location where the merchant is located, and a time when the user desires to reach, and determine, according to the information of the order, a risk of timeout when the order is allocated to the distribution capacity; and/or, the distribution distance in the order information; and/or the distribution direction of the distribution capacity for distributing the orders forms an included angle with the distribution direction for distributing the distributed orders.
Specifically, the risk of timeout for the distribution capacity to distribute the order when the order is distributed to the distribution capacity may be determined, and the risk of timeout for the distribution capacity to distribute the order may be determined according to the expected arrival time of the user in the order information and the expected arrival time of the distribution capacity to distribute the order; in addition, in the case of allocating the order to the delivery capacity, there may be a risk of a time-out of the delivery capacity delivering the allocated order in the allocated order of the delivery capacity that the delivery of a part of the order is affected, especially the allocated order delivered after the delivery of the order, and therefore, the delivery capacity may also be determined to deliver the allocated order in the case of allocating the order to the delivery capacity.
In addition, the distribution distance in the order information can also be determined, and the distribution distance in the order information can be determined according to the position of the user and the position of the merchant in the order information.
In addition, when the order is allocated to the delivery capacity, a direction included angle between a delivery direction of the delivery capacity for delivering the order and a delivery direction for delivering the allocated order may be determined, as shown in fig. 2, fig. 2 is a schematic path diagram of the delivery capacity for delivering the order provided in the embodiment of the present specification, in fig. 2, the order of the user a and the order of the user b are the order allocated to the delivery capacity M, the order of the user c is the order of the hot merchant a, the merchant a is the location of the hot merchant a, an arrow is a travel path of M, the users a, b and c are the locations of the users a, b and c, respectively, dashed lines 1, 2 and 3 are extensions of the delivery paths of the orders of the M-delivered users a, b and c, respectively, and the delivery included angles α, β and γ are delivery included angles of the order of the M-delivered users a, b and c.
And determining the distribution efficiency of the distribution capacity for distributing the orders according to at least one of the determined overtime risk, the distribution distance and the direction included angle.
Specifically, the overtime risk, the distribution distance and the direction included angle are inversely related to the distribution efficiency, that is, the larger the overtime risk is, the smaller the distribution efficiency is, the farther the distribution distance is, the smaller the distribution efficiency is, the larger the direction included angle is, and the smaller the distribution efficiency is. In addition, the delivery efficiency may be determined by other factors, such as, for example, determining the time required for the delivery capacity to return to the designated merchant in the case where the order is assigned to the delivery capacity during the delivery of the assigned order by the delivery capacity, the greater the time required for the delivery capacity to return to the designated merchant, the less the delivery efficiency.
The specification determines the distribution efficiency of the distribution capacity for distributing the orders, and fully considers whether the distribution capacity risks timeout of the order delivery user when executing a distribution task, the distance of the distribution capacity for distributing the orders, the distribution direction of the distribution capacity for distributing the orders, and the distribution direction for distributing other distributed orders, so that the determined distribution efficiency is more suitable for an actual distribution scene.
S104: and judging whether the determined distribution capacity with the distribution efficiency larger than a first preset distribution efficiency threshold exists in the distribution capacity with the binding relation with the specified merchant, if so, executing step S106, otherwise, executing step S108.
S106: and selecting the specified delivery capacity from the delivery capacities having the binding relationship with the specified merchant, and distributing the order to the specified delivery capacity.
S108: among all the delivery capacities, a specified delivery capacity is selected and the order is assigned to the specified delivery capacity.
If it is determined in step S102 that the order is allocated to the distribution capacity, the distribution capacity distributes the distribution efficiency of the order, and since the description preferentially allocates the order to the store-standing distribution capacity when the order of the designated merchant is allocated, it may be determined whether there is a store-standing distribution capacity in the store-standing distribution capacity, where the determined distribution efficiency is greater than a first preset distribution efficiency threshold, and if so, a designated distribution capacity is selected from the store-standing distribution capacity, and the order is allocated to the designated distribution capacity, that is, step S106 is performed; otherwise, it indicates that the delivery efficiency of all the store-resident delivery capacities for delivering the orders is not greater than the first preset delivery efficiency threshold (i.e., the orders cannot be assigned to the suitable store-resident delivery capacity in all the store-resident delivery capacities), so that the specified delivery capacity may be selected from the non-store-resident delivery capacities and the orders may be assigned to the specified delivery capacity, that is, step S108 is performed.
In this specification, priority levels may also be set for all the delivery capacities, and specifically, the levels of the non-store-resident delivery capacity and the store-resident delivery capacity may be set as a default general priority level, in the in-store delivery capacity, when the delivery efficiency of the in-store delivery capacity to deliver the order determined by step S102 is greater than the first preset delivery efficiency threshold, the level of the in-store delivery capacity is upgraded to the in-store priority level, when the order is distributed, if the store-in distribution capacity with the store-in priority level exists, the distribution capacity is selected and appointed from the store-in distribution capacities with the store-in priority level, and assigning the order to the specified delivery capacity, otherwise, indicating that there is no store-resident delivery capacity at the store-resident priority level, then a specified delivery capacity is selected from the delivery capacities of which the level is the normal priority level, and the order is assigned to the specified delivery capacity.
In steps S106 and S108, the designated delivery capacity is selected, and the delivery capacity with the highest delivery efficiency is selected as the designated delivery capacity according to the determined delivery efficiency. Specifically, after the range of the order-allocated delivery capacity is determined, that is, the range of the order-allocated delivery capacity determined in step S106 is the store-resident delivery capacity whose delivery efficiency is greater than the first preset delivery threshold, or the range of the order-allocated delivery capacity determined in step S108 is all the delivery capacities, and in the range of the delivery capacities, the delivery capacity with the highest delivery efficiency may be selected as the specified delivery capacity, and in one possible case, if there are a plurality of delivery capacities with the highest delivery efficiency, the order may be randomly allocated to one of the delivery capacities. In addition, when the order is distributed, the distribution capacity can be randomly selected as the designated distribution capacity in the distribution capacity range.
Of course, besides the above-mentioned manner of allocating the order to the designated delivery capacity in a delivery efficiency manner, the allocation of the order to the designated delivery capacity may also be implemented in other manners, for example, for the delivery capacity of a store, the time dimension and the distance dimension of the order delivered by the delivery capacity may be scored, the designated delivery capacity is selected according to the score, and the order is allocated to the designated delivery capacity, and specific method steps are not described in detail in this specification.
Through the steps S100 to S108, when the obtained order of the designated merchant is distributed, the distribution capacity allocated to the resident store is preferentially considered, and in the resident store distribution capacities with the distribution efficiency greater than the first preset distribution efficiency threshold, the designated distribution capacity is selected, and the order is preferentially allocated to the designated distribution capacity, that is, the order of the designated merchant is preferentially allocated to the distribution capacity having a binding relationship with the designated merchant, and when the resident store distribution capacity executes the distribution task, in the merchant having the binding relationship, more order picking tasks can be completed each time, the number of times that the resident store distribution capacity returns to the merchant is reduced, and the distribution efficiency of the resident store distribution capacity is greatly improved. When the distribution efficiency of all the store-resident distribution capacity is not greater than the first preset distribution efficiency threshold, the order is not suitable for being distributed to the store-resident distribution capacity, therefore, in all the distribution capacities, the specified distribution capacity is selected, and the order is distributed to the specified distribution capacity, that is, when the order of the specified merchant is distributed, if the order is distributed to the store-resident distribution capacity, the distribution efficiency of the store-resident distribution capacity may be reduced, and the order may also have a timeout risk, and obviously not be suitable for being distributed to the store-resident distribution capacity, therefore, in order to not affect the distribution efficiency of the store-resident distribution capacity and reduce the timeout risk of the order, the order is distributed to the non-store-resident distribution capacity. According to the order distribution method, the matching relation of the orders of the specified merchants and the store-in distribution capacity in quantity is considered, the store-in distribution capacity is preferentially considered when the orders of the specified merchants are distributed, the store-in distribution capacity is mainly considered, the non-store-in distribution capacity is considered as an auxiliary distribution mode, and therefore the problems existing in order distribution are solved.
In this specification, before the order is allocated to the delivery capacity in steps S100 to S108, it is also possible to determine whether the order meets the order pressing condition. Specifically, the order pressing refers to determining the delivery capacity corresponding to the order (i.e., selecting a process of specifying the delivery capacity), but not allocating the order to the delivery capacity.
Wherein, judging whether the order conforms to a pressure strip piece comprises: judging whether the direction included angle is larger than a preset included angle threshold value or not, and if so, enabling the order to accord with a list pressing condition; and/or judging whether the overtime risk exceeds a preset overtime risk threshold value, and if the overtime risk does not exceed the preset overtime risk threshold value, the order conforms to the order pressing condition.
And if the order pressing condition is met, performing order pressing treatment on the order, and temporarily not distributing the order to the corresponding distribution transport capacity. Of course, if the order pressing condition is not met, the order can be directly allocated to the delivery capacity corresponding to the order.
Specifically, when the direction included angle is greater than a preset included angle threshold value, it is described that a traveling path of the distribution transporting capacity corresponding to the order has a large angle of turning back in the distribution process, for example, a direction of a user of the order is north of a garden, and directions of users of other allocated orders are east of the garden, so that the order conforms to a list pressing condition, performing list pressing processing on the order is beneficial to concentratedly distributing the order by the distribution transporting capacity, and after performing list pressing processing on the order, other orders allocated to the distribution transporting capacity may exist in the same direction as the order, and performing list pressing on the order is beneficial to improving efficiency of the distribution transporting capacity for distributing all allocated orders.
In addition, when the overtime risk does not exceed the preset overtime risk threshold, the fact that enough time is left for the distribution of the orders is indicated, the order pressing processing is performed on the orders, the concentration degree of distribution work of distribution capacity is improved in the distribution process, whether new distributed orders exist or not does not need to be paid attention to constantly, and the order pressing processing is performed on the orders, so that the orders can be distributed according to the distribution process determined when the orders are distributed to the distribution capacity when the orders are distributed by the distribution capacity, and the consistency of the actual distribution process of the distribution capacity and the distribution process determined when the orders are distributed to the distribution capacity is improved.
Of course, after orders meeting the order pressing condition are pressed, unreasonable distribution of some orders can be reduced (that is, unreasonable distribution means that the distribution efficiency of the distribution capacity for distributing the orders is smaller than a second preset distribution efficiency threshold), where the second preset distribution efficiency is larger than the first preset distribution efficiency. For the first preset distribution efficiency, judging whether the determined distribution capacity with the distribution efficiency larger than the first preset distribution efficiency threshold exists or not refers to judging whether the suitable store-resident distribution capacity exists or not for distributing the order, and for the second preset distribution efficiency, judging whether the distribution efficiency for distributing the order by the distribution capacity is smaller than the second preset distribution efficiency threshold or not refers to judging whether the order is distributed to the distribution capacity reasonably or not.
E.g. at TNAt the scheduling moment, the determined delivery capacity with the delivery efficiency larger than the first preset delivery efficiency threshold exists, but all the delivery capacities deliver the delivery effect of the orderThe rates are all smaller than the second preset delivery efficiency threshold, and the step of selecting the specified delivery capacity and allocating the order to the delivery capacity in the store-resident delivery capacities is to allocate the order to the appropriate delivery capacity, but cannot indicate that the allocation of the order to the delivery capacity is reasonable, so in order to allocate the order to the delivery capacity reasonably, the order may be pressed after the specified delivery capacity is selected and before the order is allocated to the specified delivery capacity, so that the order is convenient to be scheduled at a subsequent scheduling time (for example, T is the scheduling time for the orderN+1Scheduling time), the order is reclaimed and redistributed.
Therefore, as can be seen from the above, in this specification, after the order pressing process is performed on the order, the method may further include performing a recycling process on the order meeting a recycling condition, where recycling refers to removing a corresponding relationship between the order and the selected specified delivery capacity, re-using the order as the order to be distributed, and re-selecting the specified delivery capacity at other scheduling time, as shown in fig. 3, fig. 3 is a scheduling flowchart of another method for distributing the order provided in this specification embodiment, and in fig. 3, at T, a scheduling flowchart of another method for distributing the order is shown in fig. 3NAt the scheduling time, firstly, the orders meeting the recovery conditions in the order pressing state at the scheduling time are recovered, and then the orders subjected to recovery processing and the T are recoveredN-1Scheduling time and TNOrder distribution is carried out on orders of specified merchants received between scheduling moments, after the specified delivery capacity is selected, the orders meeting order pressing conditions are pressed before the orders are distributed to the specified delivery capacity, and at TN+1And at the scheduling time, recovering the orders which are in the order pressing state and meet the recovery conditions at the scheduling time, thereby forming a cycle and completing the distribution of the orders.
Specifically, as shown in fig. 4, fig. 4 is a flowchart of another order allocation method provided in the embodiment of the present specification, which specifically includes the following steps:
s400: and at the current scheduling moment, determining the order aiming at the specified merchant in the order pressing state as the order to be selected.
Specifically, inThe current scheduling time, e.g. TNScheduling time, determined at TNAll orders which are in the order pressing state and are aimed at the specified merchant before the scheduling time are used as orders to be selected, so the orders to be selected are not distributed to the corresponding distribution capacity.
S402: and determining the order to be selected which accords with the recovery condition in the order to be selected.
In the candidate orders determined in step S400, determining whether each candidate order meets the recycling condition, and determining the candidate order meeting the recycling condition, specifically, determining whether the distribution efficiency of the distribution capacity corresponding to the candidate order for distributing the candidate order is less than a second preset distribution efficiency threshold for each candidate order, and if the determination result is less than the second preset distribution efficiency threshold, determining that the candidate order meets the recycling condition; and/or judging whether the distribution capacity corresponding to the to-be-selected order is the distribution capacity with the binding relationship with the specified merchant, and if not, determining that the to-be-selected order meets the recovery condition.
S404: and acquiring the to-be-selected order meeting the recovery conditions as an acquired order at least partially aiming at a specified merchant.
After the order to be selected meeting the recycling conditions is determined in step S402, the corresponding relationship between the order to be selected and the selected specified delivery capacity is removed for the order to be selected meeting the recycling conditions, the order to be selected is used again as the order to be allocated, the specified delivery capacity can be selected again for the order to be allocated according to steps S406 to S414, the order to be allocated is allocated to the delivery capacity, and the order newly generated for the specified merchant and received between the previous scheduling time and the current scheduling time can be obtained and also used as the order to be allocated, and the delivery capacity can be allocated according to steps S406 to S414.
The order meeting the recovery condition is recovered and used as the order to be distributed, the appointed distribution capacity is reselected, and the order to be distributed is distributed to the distribution capacity, so that the order which is selected to be appointed distribution capacity before the current scheduling time is subjected to recovery processing and reselected, the order to be distributed is distributed to the distribution capacity reasonably, in addition, when the distribution capacity corresponding to the order in the order pressing state is non-store-resident distribution capacity, the order is recovered and reselected to be appointed distribution capacity, when the appointed distribution capacity is reselected, the suitable store-resident distribution capacity exists, the order can be distributed to the suitable store-resident distribution capacity, and the store-resident distribution capacity is preferentially considered when the order is distributed, so that the store-resident distribution capacity is taken as the main store-resident distribution capacity, the distribution mode with the auxiliary non-store-resident distribution capacity solves the problem existing in order distribution.
S406: and determining the distribution efficiency of the distribution capacity for distributing the order to be distributed under the condition that the order to be distributed is distributed to the distribution capacity according to the acquired information of the order to be distributed for each distribution capacity having the binding relationship with the specified merchant.
S408: and judging whether the determined distribution capacity with the distribution efficiency larger than a first preset distribution efficiency threshold exists in the distribution capacity with the binding relationship with the specified merchant, if so, executing step S410, otherwise, executing step S412.
S410: selecting the specified delivery capacity from the delivery capacities having the binding relationship with the specified merchant, and then jumping to execute step S414.
S412: among all the delivery capacities, the designated delivery capacity is selected, and then step S414 is performed.
S414: for each order, determine whether the order meets the order pressing condition, if yes, execute step S416, otherwise execute step S418.
S416: the order is pressed, and the process returns to step S400.
S418: the order is assigned directly to the specified delivery capacity.
Step S406 to step S412 are performed at TNThe scheduling time corresponds to the same time as S102 to S108 in fig. 1, and steps S414 to S418 are performed at TNThe scheduling time and the above-mentioned time are determined by the above-mentioned steps S100 to S108Before the order is distributed to the distribution capacity, it is determined whether the order conforms to the same content of the order pressing condition, and therefore details are not repeated here.
It is worth mentioning that at TNAt the scheduling time, after the step S414 of determining the order pressing condition is executed, according to the determination result, the step S416 of pressing the order is executed, or the step S418 of directly allocating the order to the designated delivery capacity, T, is executedNThe scheduling time is over, when TN+1When the scheduling time comes, T is addedN+1The scheduling time being the current scheduling time, i.e. at TN+1At the scheduling time, steps S400 to S418 are also executed, thereby forming a loop and completing the order assignment.
Based on the order allocation method shown in fig. 1, the embodiment of the present specification further provides a schematic structural diagram of an order allocation apparatus, as shown in fig. 5.
Fig. 5 is a schematic structural diagram of an order distribution apparatus provided in an embodiment of the present specification, where the order distribution apparatus includes:
an obtaining module 501, configured to obtain an order for a specified merchant;
a determining module 502, configured to determine, according to the obtained information of the order, a distribution efficiency of the order distributed by the distribution capacity when the order is distributed to the distribution capacity, for each of the distribution capacities having a binding relationship with the specified merchant;
a determining module 503, configured to determine whether there is a certain distribution capacity with a distribution efficiency greater than a first preset distribution efficiency threshold in the distribution capacities with the binding relationship with the specified merchant;
a first distribution module 504, configured to select a specified distribution capacity from the distribution capacities having a binding relationship with the specified merchant and distribute the order to the specified distribution capacity if the determination result of the determination module is yes;
and a second allocating module 505, configured to select a specified delivery capacity from all the delivery capacities and allocate the order to the specified delivery capacity when the determination result of the determining module is negative.
The order distribution device in this specification can preferentially select an appropriate distribution capacity at the store-in distribution capacity for the order of a specified merchant, and select an appropriate distribution capacity among all distribution capacities if no appropriate store-in distribution capacity exists, taking into account the matching relationship of the order and the store-in distribution capacity in terms of number, preferentially adopt the store-in distribution capacity to distribute the order when the order and the store-in distribution capacity are quantitatively matched, and flexibly adopt part of the non-store-in distribution capacity to distribute when the order and the store-in distribution capacity are not quantitatively matched, that is, the store-in distribution capacity is not appropriate for distributing the order, thereby solving the problem existing in order distribution.
Optionally, the determining module 502 is specifically configured to determine, according to the information of the order, a risk of timeout when the order is allocated to the delivery capacity, the delivery capacity delivers the order; and/or, the distribution distance in the order information; and/or the distribution direction of the distribution power for distributing the orders forms an included angle with the direction for distributing the distributed orders forms; and determining the distribution efficiency of the distribution capacity for distributing the orders according to at least one of the determined overtime risk, the distribution distance and the direction included angle.
The determining module 502 determines the distribution efficiency of the order distributed by the distribution capacity, and the determined distribution efficiency is more suitable for the actual distribution scene, considering at least one of whether the order delivery user has a timeout risk when the distribution capacity performs the distribution task, the distance of the order distributed by the distribution capacity, the distribution direction of the order distributed by the distribution capacity, and the distribution direction of other distributed orders distributed by the distribution capacity.
Optionally, the first distribution module 504 or the second distribution module 505 is specifically configured to select, according to the determined distribution efficiency, a distribution capacity with a highest distribution efficiency as the designated distribution capacity.
Optionally, the apparatus further comprises: a pressing module 506 and a recovery module 507;
the order pressing module 506 is specifically configured to determine whether the order conforms to an order pressing condition; and if the order pressing condition is met, performing order pressing processing on the order.
When the order meets the order pressing condition, the order pressing module 506 presses the order to help the distribution capacity to distribute the order intensively, and then there may be other orders distributed to the distribution capacity in the same direction as the order, and presses the order to help the distribution capacity to distribute all distributed orders, and furthermore, pressing the order can help the distribution capacity to improve the concentration of distribution work in the distribution process without paying attention to whether there is a new distributed order at any time, and when the distribution capacity distributes the order, the order can be distributed according to the distribution process determined when the order is distributed to the distribution capacity, which helps to improve the consistency between the actual distribution process of the distribution capacity and the distribution process determined when the order is distributed to the distribution capacity, and of course, the order is pressed, misallocation of partial orders may also be reduced by the reclaim module 507.
Optionally, the order pressing module 506 is specifically configured to determine whether the direction included angle is greater than a preset included angle threshold, and if the determination result is that the direction included angle is greater than the preset included angle threshold, the order conforms to an order pressing condition; and/or judging whether the overtime risk exceeds a preset overtime risk threshold value, and if the overtime risk does not exceed the preset overtime risk threshold value, the order conforms to the order pressing condition.
Optionally, the obtaining module 501 is specifically configured to determine, at the current scheduling time, an order for the specified merchant in the order pressing state as an order to be selected; determining the order to be selected which accords with the recovery condition according to the recovery module 507; and acquiring the to-be-selected order meeting the recovery conditions as an acquired order at least partially aiming at a specified merchant.
Optionally, the recycling module 507 is specifically configured to, for each to-be-selected order, determine whether a delivery efficiency of the to-be-selected order delivered by a specified delivery capacity selected for the to-be-selected order is smaller than a second preset delivery efficiency threshold, and when a determination result is smaller than the second preset delivery efficiency threshold, determine that the to-be-selected order meets a recycling condition; and/or judging whether the specified delivery capacity selected for the order to be selected is the delivery capacity with the binding relationship with the specified merchant, and if not, determining that the order to be selected accords with the recovery condition.
When the order meets the recovery condition, the recovery module 507 performs recovery processing on the order, takes the order as an unallocated order again, reselects a specified delivery capacity at other scheduling time, and allocates the order to be allocated to the delivery capacity, so that the order which has selected the specified delivery capacity before the current scheduling time is subjected to recovery processing and reselects the specified delivery capacity, and after the order to be allocated is allocated to the delivery capacity, the order may be reasonably allocated, and in addition, when the delivery capacity corresponding to the order in the order pressing state is a non-store delivery capacity, the order is subjected to recovery processing and reselects the specified delivery capacity, and when the specified delivery capacity is reselected, a suitable store-resident delivery capacity exists, and the order may be allocated to the suitable store-resident delivery capacity, the distribution mode that the shop-resident distribution transport capacity is preferentially considered when the orders are distributed, the shop-resident distribution transport capacity is taken as the main mode, and the non-shop-resident distribution transport capacity is taken as the auxiliary mode is realized, so that the problems existing in the order distribution process are solved.
The present specification also provides a computer readable storage medium, which stores a computer program, and the computer program can be used to execute the order distribution method provided in fig. 1.
Based on the order allocation method shown in fig. 1, the embodiment of the present specification further proposes a schematic structural diagram of the electronic device shown in fig. 6. As shown in fig. 6, at the hardware level, the electronic device includes a processor, an internal bus, a network interface, a memory, and a non-volatile memory, but may also include hardware required for other services. The processor reads the corresponding computer program from the non-volatile memory into the memory and then runs the computer program to implement the order allocation method described in fig. 1 above.
Of course, besides the software implementation, the present specification does not exclude other implementations, such as logic devices or a combination of software and hardware, and the like, that is, the execution subject of the following processing flow is not limited to each logic unit, and may be hardware or logic devices.
In the 90 s of the 20 th century, improvements in a technology could clearly distinguish between improvements in hardware (e.g., improvements in circuit structures such as diodes, transistors, switches, etc.) and improvements in software (improvements in process flow). However, as technology advances, many of today's process flow improvements have been seen as direct improvements in hardware circuit architecture. Designers almost always obtain the corresponding hardware circuit structure by programming an improved method flow into the hardware circuit. Thus, it cannot be said that an improvement in the process flow cannot be realized by hardware physical modules. For example, a Programmable Logic Device (PLD), such as a Field Programmable Gate Array (FPGA), is an integrated circuit whose Logic functions are determined by programming the Device by a user. A digital system is "integrated" on a PLD by the designer's own programming without requiring the chip manufacturer to design and fabricate application-specific integrated circuit chips. Furthermore, nowadays, instead of manually making an Integrated Circuit chip, such Programming is often implemented by "logic compiler" software, which is similar to a software compiler used in program development and writing, but the original code before compiling is also written by a specific Programming Language, which is called Hardware Description Language (HDL), and HDL is not only one but many, such as abel (advanced Boolean Expression Language), ahdl (alternate Hardware Description Language), traffic, pl (core universal Programming Language), HDCal (jhdware Description Language), lang, Lola, HDL, laspam, hardward Description Language (vhr Description Language), vhal (Hardware Description Language), and vhigh-Language, which are currently used in most common. It will also be apparent to those skilled in the art that hardware circuitry that implements the logical method flows can be readily obtained by merely slightly programming the method flows into an integrated circuit using the hardware description languages described above.
The controller may be implemented in any suitable manner, for example, the controller may take the form of, for example, a microprocessor or processor and a computer-readable medium storing computer-readable program code (e.g., software or firmware) executable by the (micro) processor, logic gates, switches, an Application Specific Integrated Circuit (ASIC), a programmable logic controller, and an embedded microcontroller, examples of which include, but are not limited to, the following microcontrollers: ARC 625D, Atmel AT91SAM, Microchip PIC18F26K20, and Silicone Labs C8051F320, the memory controller may also be implemented as part of the control logic for the memory. Those skilled in the art will also appreciate that, in addition to implementing the controller as pure computer readable program code, the same functionality can be implemented by logically programming method steps such that the controller is in the form of logic gates, switches, application specific integrated circuits, programmable logic controllers, embedded microcontrollers and the like. Such a controller may thus be considered a hardware component, and the means included therein for performing the various functions may also be considered as a structure within the hardware component. Or even means for performing the functions may be regarded as being both a software module for performing the method and a structure within a hardware component.
The systems, devices, modules or units illustrated in the above embodiments may be implemented by a computer chip or an entity, or by a product with certain functions. One typical implementation device is a computer. In particular, the computer may be, for example, a personal computer, a laptop computer, a cellular telephone, a camera phone, a smartphone, a personal digital assistant, a media player, a navigation device, an email device, a game console, a tablet computer, a wearable device, or a combination of any of these devices.
For convenience of description, the above devices are described as being divided into various units by function, and are described separately. Of course, the functions of the various elements may be implemented in the same one or more software and/or hardware implementations of the present description.
As will be appreciated by one skilled in the art, embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
In a typical configuration, a computing device includes one or more processors (CPUs), input/output interfaces, network interfaces, and memory.
The memory may include forms of volatile memory in a computer readable medium, Random Access Memory (RAM) and/or non-volatile memory, such as Read Only Memory (ROM) or flash memory (flash RAM). Memory is an example of a computer-readable medium.
Computer-readable media, including both non-transitory and non-transitory, removable and non-removable media, may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), Static Random Access Memory (SRAM), Dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), Read Only Memory (ROM), Electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), Digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices, or any other non-transmission medium that can be used to store information that can be accessed by a computing device. As defined herein, a computer readable medium does not include a transitory computer readable medium such as a modulated data signal and a carrier wave.
It should also be noted that 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 like elements in a process, method, article, or apparatus that comprises the element.
As will be appreciated by one skilled in the art, embodiments of the present description may be provided as a method, system, or computer program product. Accordingly, the description may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the description may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
This description may be described in the general context of computer-executable instructions, such as program modules, being executed by a computer. Generally, program modules include routines, programs, objects, components, data structures, etc. that perform particular tasks or implement particular abstract data types. The specification may also be practiced in distributed computing environments where tasks are performed by remote processing devices that are linked through a communications network. In a distributed computing environment, program modules may be located in both local and remote computer storage media including memory storage devices.
The embodiments in the present specification are described in a progressive manner, and the same and similar parts among the embodiments are referred to each other, and each embodiment focuses on the differences from the other embodiments. In particular, for the system embodiment, since it is substantially similar to the method embodiment, the description is simple, and for the relevant points, reference may be made to the partial description of the method embodiment.
The above description is only an example of the present specification, and is not intended to limit the present specification. Various modifications and alterations to this description will become apparent to those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present specification should be included in the scope of the claims of the present specification.
Claims (10)
1. A method of order distribution, comprising:
acquiring an order for a specified merchant;
for each distribution capacity having a binding relationship with the specified merchant, determining distribution efficiency of the distribution capacity for distributing the order under the condition that the order is distributed to the distribution capacity according to the acquired information of the order;
judging whether the determined distribution capacity with the distribution efficiency larger than a first preset distribution efficiency threshold exists in the distribution capacity with the binding relation with the specified merchant;
if so, selecting specified delivery capacity from the delivery capacities having the binding relationship with the specified merchant, and distributing the order to the specified delivery capacity;
otherwise, a specified delivery capacity is selected among all the delivery capacities, and the order is assigned to the specified delivery capacity.
2. The method as claimed in claim 1, wherein the determining, according to the obtained information of the order, a delivery efficiency of the delivery capacity for delivering the order in a case where the order is assigned to the delivery capacity comprises:
determining the overtime risk of the distribution capacity for distributing the order under the condition that the order is distributed to the distribution capacity according to the information of the order; and/or, the distribution distance in the order information; and/or the distribution direction of the distribution power for distributing the orders forms an included angle with the direction for distributing the distributed orders forms;
and determining the distribution efficiency of the distribution capacity for distributing the orders according to at least one of the determined overtime risk, the distribution distance and the direction included angle.
3. The method of claim 1, wherein the selecting specifies a delivery capacity, comprising:
and selecting the delivery capacity with the highest delivery efficiency as the designated delivery capacity according to the determined delivery efficiency.
4. The method of claim 2, wherein prior to assigning the order to the designated delivery capacity, the method further comprises:
judging whether the order conforms to an order pressing condition;
and if the order pressing condition is met, performing order pressing processing on the order.
5. The method of claim 4, wherein said determining whether said order complies with a pressure ticket condition comprises:
judging whether the direction included angle is larger than a preset included angle threshold value or not, and if so, enabling the order to accord with a list pressing condition; and/or the presence of a gas in the gas,
and judging whether the overtime risk exceeds a preset overtime risk threshold value, and if the overtime risk does not exceed the preset overtime risk threshold value, the order conforms to the order pressing condition.
6. The method of claim 4, wherein obtaining an order for a specified merchant comprises:
at the current scheduling moment, determining an order in a pressing state for the specified merchant as an order to be selected;
determining the order to be selected which accords with the recovery condition in the order to be selected;
and acquiring the to-be-selected order meeting the recovery conditions as an acquired order at least partially aiming at a specified merchant.
7. The method of claim 6, wherein said determining candidate orders among said candidate orders that meet recycling criteria comprises:
aiming at each order to be selected, judging whether the distribution efficiency of the selected order to be distributed by the appointed distribution capacity selected by the order to be selected is smaller than a second preset distribution efficiency threshold value or not, and if the judgment result is smaller than the second preset distribution efficiency threshold value, enabling the order to be selected to accord with the recovery condition; and/or the presence of a gas in the gas,
and judging whether the specified delivery capacity selected for the to-be-selected order is the delivery capacity with the binding relationship with the specified merchant, and if not, determining that the to-be-selected order meets the recovery condition.
8. An apparatus for order distribution, the apparatus comprising:
the acquisition module is used for acquiring orders aiming at a specified merchant;
the determining module is used for determining the distribution efficiency of the order distributed by the distribution capacity under the condition that the order is distributed to the distribution capacity according to the acquired information of the order for each distribution capacity having the binding relation with the specified merchant;
the judging module is used for judging whether the determined distribution capacity with the distribution efficiency larger than a first preset distribution efficiency threshold exists in the distribution capacity with the binding relation with the specified merchant;
the first distribution module is used for selecting the appointed distribution capacity from the distribution capacities which have the binding relationship with the appointed merchants and distributing the order to the appointed distribution capacity when the judgment result of the judgment module is yes;
and the second distribution module is used for selecting the appointed distribution capacity from all the distribution capacities and distributing the order to the distribution capacity when the judgment result of the judgment module is negative.
9. A computer-readable storage medium, characterized in that the storage medium stores a computer program which, when executed by a processor, implements the method of any of the preceding claims 1-7.
10. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor implements the method of any of claims 1-7 when executing the program.
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