CN112446652A

CN112446652A - Method and device for processing task set

Info

Publication number: CN112446652A
Application number: CN201910809987.4A
Authority: CN
Inventors: 杜石光
Original assignee: Beijing Jingdong Zhenshi Information Technology Co Ltd
Current assignee: Beijing Jingdong Zhenshi Information Technology Co Ltd
Priority date: 2019-08-29
Filing date: 2019-08-29
Publication date: 2021-03-05

Abstract

The invention discloses a method and a device for processing a task set, and relates to the technical field of computers. One embodiment of the method comprises: after receiving task sets submitted by a user, transferring objects in each task set into at least one task subset; any task subset corresponds to a destination point, and each object in any task subset has the same attribute in a preset dimension; categorizing the plurality of task subsets into at least one category; the task subsets in any category correspond to the same destination point, and each object in the task subsets in any category has the same attribute in the preset dimension; and executing the tasks in the task set according to the task subset information of the same category. The implementation method can improve the execution efficiency of the task in the task set.

Description

Method and device for processing task set

Technical Field

The present invention relates to the field of computer technologies, and in particular, to a method and an apparatus for processing a task set.

Background

Currently, a user order needs to go through an order processing center ofc (order functional center) and a warehouse Management system wms (route Management system) to enter a warehouse for production. In the prior art, after receiving a user order, an order processing center splits the user order into sub-orders and sends the sub-orders to a warehouse management system according to the difference of a target warehouse, and the processing mode does not consider that different distribution time ranges and volume ranges exist among articles, so that the subsequent order production link and distribution link are not facilitated.

Disclosure of Invention

In view of this, embodiments of the present invention provide a method and an apparatus for processing a task set, which can split a task set submitted by a user according to a target warehouse, a delivery time range, and a volume range, and classify a task subset formed by the splitting, and using information of the classified task subset can improve execution efficiency of tasks.

To achieve the above object, according to one aspect of the present invention, there is provided a method of processing a task set.

The method for processing the task set comprises the following steps: after receiving task sets submitted by a user, transferring objects in each task set into at least one task subset; any task subset corresponds to a destination point, and each object in any task subset has the same attribute in a preset dimension; categorizing the plurality of task subsets into at least one category; the task subsets in any category correspond to the same destination point, and each object in the task subsets in any category has the same attribute in the preset dimension; and executing the tasks in the task set according to the task subset information of the same category.

Optionally, the destination point comprises: a destination warehouse; the preset dimensions include: delivery time and volume; each object has the same attribute in the preset dimension, and the method comprises the following steps: each subject is in the same dispensing time range and the same volume range.

Optionally, executing the tasks in the task set according to the task subset information of the same category includes: sending the task subsets of the same category to a target warehouse corresponding to the category for centralized processing; and/or after warehouse processing, classifying the objects in the task subset of the same category according to the distribution area and then distributing the objects in the task subset of the same category in a centralized manner.

Optionally, each object in any subset of tasks is in the same weight range; and, said categorizing the plurality of task subsets into at least one category comprises: classifying the plurality of task subsets into at least one category according to a destination warehouse, a delivery time range, a volume range, and a weight range; wherein the subset of tasks in any category corresponds to the same destination warehouse, and each object in the subset of tasks in any category is in the same delivery time range, the same volume range, and the same weight range.

Optionally, each object in any task subset has the same shape; and, said categorizing the plurality of task subsets into at least one category comprises: classifying the plurality of task subsets into at least one category according to destination warehouse, delivery time range, volume range and shape; wherein the task subsets in any category correspond to the same destination warehouse, and each object in the task subsets in any category is in the same distribution time range and the same volume range and has the same shape.

Optionally, the objects in any task subset correspond to the same delivery area; and, said categorizing the plurality of task subsets into at least one category comprises: classifying the plurality of task subsets into at least one category according to a destination warehouse, a delivery time range, a volume range and a delivery area; wherein the task subsets in any category correspond to the same destination warehouse, and each object in the task subsets in any category corresponds to the same delivery area and is in the same delivery time range and the same volume range.

Optionally, the task set is an order, the task subset is a sub-order, and the object is an article; and, the method further comprises: prior to receiving the user order: receiving information of the articles to be purchased submitted by a user, and acquiring the quantity of the articles which are contained in the unproductive sub-order corresponding to any delivery time range and belong to the same kind as the articles to be purchased; determining a price adjustment coefficient corresponding to the acquired quantity of the articles according to a mapping relation between the quantity of the articles and the price adjustment coefficient which is established for the type in advance; and obtaining the actual price of the item to be purchased corresponding to the distribution time range by using the determined price adjustment coefficient and the initial price of the item to be purchased, and displaying the actual price of the item to be purchased to the user.

To achieve the above object, according to another aspect of the present invention, there is provided an apparatus for processing a task set.

The device for processing the task set of the embodiment of the invention can comprise: a splitting unit for: after receiving task sets submitted by a user, transferring objects in each task set into at least one task subset; any task subset corresponds to a destination point, and each object in any task subset has the same attribute in a preset dimension; a classification unit for classifying the plurality of task subsets into at least one category; the task subsets in any category correspond to the same destination point, and each object in the task subsets in any category has the same attribute in the preset dimension; and the execution unit is used for executing the tasks in the task set according to the task subset information of the same category.

Optionally, the execution unit is configured to: sending the task subsets of the same category to a target warehouse corresponding to the category for centralized processing; and/or after warehouse processing, classifying the objects in the task subset of the same category according to the distribution area and then distributing the objects in the task subset of the same category in a centralized manner.

Optionally, each object in any subset of tasks is in the same weight range; and the classification unit is further configured to: classifying the plurality of task subsets into at least one category according to a destination warehouse, a delivery time range, a volume range, and a weight range; wherein the subset of tasks in any category corresponds to the same destination warehouse, and each object in the subset of tasks in any category is in the same delivery time range, the same volume range, and the same weight range.

Optionally, each object in any task subset has the same shape; and the classification unit is further configured to: classifying the plurality of task subsets into at least one category according to destination warehouse, delivery time range, volume range and shape; wherein the task subsets in any category correspond to the same destination warehouse, and each object in the task subsets in any category is in the same distribution time range and the same volume range and has the same shape.

Optionally, the objects in any task subset correspond to the same delivery area; and the classification unit is further configured to: classifying the plurality of task subsets into at least one category according to a destination warehouse, a delivery time range, a volume range and a delivery area; wherein the task subsets in any category correspond to the same destination warehouse, and each object in the task subsets in any category corresponds to the same delivery area and is in the same delivery time range and the same volume range.

Optionally, the task set is an order, the task subset is a sub-order, and the object is an article; and, the apparatus further comprises a price adjustment unit for: prior to receiving the user order: receiving information of the articles to be purchased submitted by a user, and acquiring the quantity of the articles which are contained in the unproductive sub-order corresponding to any delivery time range and belong to the same kind as the articles to be purchased; determining a price adjustment coefficient corresponding to the acquired quantity of the articles according to a mapping relation between the quantity of the articles and the price adjustment coefficient which is established for the type in advance; and obtaining the actual price of the item to be purchased corresponding to the distribution time range by using the determined price adjustment coefficient and the initial price of the item to be purchased, and displaying the actual price of the item to be purchased to the user.

To achieve the above object, according to still another aspect of the present invention, there is provided an electronic apparatus.

An electronic device of the present invention includes: one or more processors; a storage device for storing one or more programs which, when executed by the one or more processors, cause the one or more processors to implement the method for processing a set of tasks provided by the present invention.

To achieve the above object, according to still another aspect of the present invention, there is provided a computer-readable storage medium.

A computer-readable storage medium of the present invention has stored thereon a computer program which, when executed by a processor, implements the method of processing a set of tasks provided by the present invention.

According to the technical scheme of the invention, one embodiment of the invention has the following advantages or beneficial effects:

firstly, considering that the logistics efficiency can be improved by carrying out centralized production and distribution on the articles which correspond to the same target warehouse and are in the same distribution time range and the same volume range, the invention splits the user order according to the target warehouse, the distribution time range and the volume range and classifies the split sub-orders after receiving the user order, so that the sub-orders of each category correspond to the same target warehouse, and the articles in the sub-orders of each category are in the same distribution time range and the same volume range. Therefore, when order production is carried out according to each category of order information, the stacking of articles in storage containers such as trays, shelves and the like is facilitated; when the distribution is carried out according to the order information of each category, the arrangement of the articles in the transport vehicle is facilitated, and therefore the logistics efficiency is improved in multiple links.

Secondly, on the basis of using a target warehouse, a distribution time range and a volume range to split orders and classify sub-orders, the invention further uses a weight range, a shape and/or a distribution area to split orders and classify sub-orders, thereby realizing more refined order handling and further improving the order production efficiency and the distribution efficiency.

Thirdly, in order to guide the user to intensively place orders when the quantity of the articles in the unproductive sub-orders reaches the expected quantity or is in the preset range so as to improve the order production efficiency, the invention can establish the mapping relation between the quantity of the articles and the price adjustment coefficient in advance, and after the user determines the articles to be purchased, the price adjustment coefficient of each distribution time range is determined by using the mapping relation, and finally the actual price of the articles which corresponds to each distribution time range and is adjusted by the price adjustment coefficient is displayed to the user.

Further effects of the above-mentioned non-conventional alternatives will be described below in connection with the embodiments.

Drawings

The drawings are included to provide a better understanding of the invention and are not to be construed as unduly limiting the invention. Wherein:

FIG. 1 is a schematic diagram of the main steps of a method of processing a set of tasks according to an embodiment of the invention;

FIG. 2 is a schematic diagram of the components of an apparatus for processing a set of tasks in accordance with an embodiment of the present invention;

FIG. 3 is an exemplary system architecture diagram to which embodiments of the present invention may be applied;

fig. 4 is a schematic structural diagram of an electronic device for implementing the method for processing task sets in the embodiment of the present invention.

Detailed Description

Exemplary embodiments of the present invention are described below with reference to the accompanying drawings, in which various details of embodiments of the invention are included to assist understanding, and which are to be considered as merely exemplary. Accordingly, those of ordinary skill in the art will recognize that various changes and modifications of the embodiments described herein can be made without departing from the scope and spirit of the invention. Also, descriptions of well-known functions and constructions are omitted in the following description for clarity and conciseness.

It should be noted that the embodiments of the present invention and the technical features of the embodiments may be combined with each other without conflict.

Fig. 1 is a schematic diagram of the main steps of a method for processing a task set according to an embodiment of the present invention.

As shown in fig. 1, the method for processing a task set according to the embodiment of the present invention may specifically be performed according to the following steps:

step S101: after receiving the set of tasks submitted by the user, transferring the objects in each task set into at least one task subset.

It should be noted that, in the embodiment of the present invention, the task set refers to a set of one or more tasks, and the task subset refers to a task set formed after the task set is split. Generally, each task in the task set or task subset is associated with an object, and the execution mode of the task can be set according to an application scene. For example, in a scenario where a user purchases an item by submitting an order, a task set is an order submitted by the user (hereinafter referred to as a user order), a task subset is a sub-order formed by splitting the user order, an object is the item, and each task in the task set or the task subset is warehouse production and delivery of the item associated with the task. The above scenario is taken as an example, and it is understood that the scenario is only one of application scenarios of the present invention, and does not limit the execution of the method of the present invention and the meaning of the task set, the task subset, and the object.

In this step, any task subset corresponds to a destination point, and each object in any task subset has the same attribute in a preset dimension. In the above scenario, where the destination point is a destination warehouse, the preset dimensions may include delivery time and volume. Each object has the same attribute in a preset dimension, which means that: each subject is in the same dispensing time range and the same volume range.

In practical applications, step S101 may be executed by the order processing system OFC. Specifically, after the user submits the order, the order processing system may split the user order into at least one sub-order according to a destination warehouse for performing order production, a time range for article delivery requested by the user, and a volume range for the article. Wherein the destination warehouse can be determined according to actual scenes. The delivery time ranges may be different time periods of equal duration, e.g., in one arrangement, each date is a different delivery time range; in another arrangement, each date is given a different delivery time range in the morning or afternoon. In the embodiment of the present invention, the different articles in the same volume range means that the articles have equal or close volumes, and the volume ranges can be flexibly set according to the needs, for example, a first volume range of less than 0.1 cubic meter, a second volume range of 0.1 to 0.5 cubic meter, a third volume range of 0.5 to 1 cubic meter, and a fourth volume range of more than 1 cubic meter can be used. It will be appreciated that where the ranges of volume of the articles are described herein, as well as the ranges of weight and shape to be described, the articles are referred to as being overwrapped articles.

In the embodiment of the present invention, when splitting a user order, the order processing system may split the user order step by step according to any one order formed by three dimensions (a destination warehouse, a distribution time range, and a volume range) (for example, for any user order, split the user order into two orders according to the difference of the destination warehouse, split the split user order into two orders according to the distribution time range, and split the user order into two orders according to the volume range, or split the user order into three dimensions at the same time. In any sub-order formed by splitting, each item is in the same distribution time range and the same volume range, and one sub-order corresponds to one destination warehouse. It will be appreciated that different sub-orders split from the same user order will often correspond to different destination warehouses, distribution time ranges, and/or volume ranges.

Through the arrangement, the articles corresponding to the same purpose warehouse, the same distribution time range and the same volume range can be classified into one category to enter a subsequent order production link and a subsequent distribution link, so that the logistics efficiency is improved. This is because the target warehouse and the distribution time range are the same, which can ensure that the items in a category of sub-order enter a production batch of a warehouse, and the volume range is the same, which is beneficial to improving the full load rate of the warehouse when the warehouse uses the storage units such as trays, racks and the like to stack the items, and is beneficial to vehicle loading during the distribution process.

In an actual scene, articles with similar shapes and weights are easier to be put together, and a distribution link needs to firstly classify according to a distribution area of the articles so as to determine a distribution path and a distribution station (namely a destination for transporting the articles from a warehouse), so that on the basis of splitting an order by using a destination warehouse, a distribution time range and a volume range, a user order can be further finely split by using a weight range, a shape and/or a distribution area where the articles are located. It is understood that each distribution area can be set according to actual needs, generally, different locations in the same distribution area can be considered to be relatively close, and if different items to be distributed correspond to the same distribution area, the distribution paths of the items to be distributed can be considered to be the same as the distribution sites. The order splitting method may have the following several methods.

First, after splitting the user order by the destination warehouse, the delivery time range, and the volume range, each sub-order is further split according to the weight range of the item, and sub-orders corresponding to the same destination warehouse, the same delivery time range, the same volume range, and the same weight range are formed (i.e., in any one sub-order, each item corresponds to the same destination warehouse, the same delivery time range, the same volume range, and the same weight range).

Second, after splitting the user order by using the destination warehouse, the delivery time range and the volume range, each formed sub-order is further split according to the shape of the item, and sub-orders corresponding to the same destination warehouse, the same delivery time range, the same volume range and the same shape are formed (that is, in any one sub-order, each item corresponds to the same destination warehouse, the same delivery time range, the same volume range and the same shape). It is understood that the specific setting rule of the article shape can be determined according to the requirement, for example, the article shape can be set as the following: rectangular, cylindrical, panel-shaped, irregular, etc.

Thirdly, after splitting the user order by using the destination warehouse, the delivery time range and the volume range, further splitting the user order according to the delivery area in each formed sub-order to form sub-orders corresponding to the same destination warehouse, the same delivery time range, the same volume range and the same delivery area (i.e. in any one sub-order, each item corresponds to the same destination warehouse, the same delivery time range, the same volume range and the same delivery area).

It should be noted that, in practical application, one of the three above fine order splitting methods may be used, or any two or three methods may be used in combination, which is not limited in the present invention. In addition, the volume range, the weight range and the shape information of the article can be obtained from the article attribute system, and the delivery time range and the delivery area information of the article can be directly obtained from the user order.

Step S102: the plurality of task subsets are categorized into at least one category.

In this step, the sub-orders formed by splitting the user orders according to the destination warehouse, the delivery time range and the volume range in step S101 may be classified. Specifically, a plurality of sub-orders into which a plurality of user orders are split are classified into at least one category according to a destination warehouse, a delivery time range, and a volume range. In either category: all sub-orders correspond to the same destination warehouse, with each item in all sub-orders being in the same delivery time range and the same volume range. It can be understood that when the sub-orders are classified, the sub-orders can be classified step by step according to any one of the arrangement sequence of the three dimensions of the target warehouse, the distribution time range and the volume range, and the three dimensions can also be used for classification at the same time.

Accordingly, if the weight range split order is further adopted in step S101, a plurality of sub-orders can be classified into at least one category according to the destination warehouse, the delivery time range, the volume range, and the weight range in this step. In either category: all sub-orders correspond to the same destination warehouse, with each item in all sub-orders being in the same delivery time range, the same volume range, and the same weight range.

Similarly, if the order is further split using the shape dimension on the basis of splitting the order using the destination warehouse, the delivery time range, and the volume range in step S101, a plurality of sub-orders may be classified into at least one category according to the destination warehouse, the delivery time range, the volume range, and the shape in this step. In either category: all sub-orders correspond to the same destination warehouse, with each item in all sub-orders being in the same delivery time range and the same volume range and having the same shape. If the order is further split by the dimension of the delivery area on the basis of splitting the order by the destination warehouse, the delivery time range and the volume range, in this step, a plurality of sub-orders can be classified into at least one category according to the destination warehouse, the delivery time range, the volume range and the delivery area, and then in any one category: all sub-orders correspond to the same destination warehouse, with each item in all sub-orders being in the same delivery time range and the same volume range and corresponding to the same delivery area.

In one embodiment, if the order is further split using the weight range, the shape and the delivery area based on splitting the order using the destination warehouse, the delivery time range and the volume range in step S101, the plurality of sub-orders may be classified into at least one category according to six dimensions of the destination warehouse, the delivery time range, the volume range, the weight range, the shape and the delivery area in this step. In either category: all sub-orders correspond to the same destination warehouse, with each item in all sub-orders being in the same delivery time range, the same volume range, and the same weight range and having the same shape and the same delivery area.

Step S103: and executing the tasks in the task set according to the task subset information of the same category.

It will be appreciated that in a practical scenario, the tasks of the task set are performed, i.e. the warehouse production and distribution of the associated items to accomplish each task. In this step, the order processing system may send the sub-order information of each category obtained in step S102 to the warehouse management system, the warehouse management system uses the sub-order information of each category to complete the production of the order in the warehouse, and the goods out of the warehouse complete the transportation from the warehouse to the delivery site depending on the sub-order information of each category. Specifically, in the order production link, the sub-orders of the same category can be sent to the target warehouse corresponding to the category for centralized production, so that the order production efficiency is improved by improving the goods stacking efficiency of trays, shelves and the like. In the delivery link, if the sub-orders are not classified according to delivery areas in step S102 (i.e., the items in one category do not necessarily correspond to one delivery area), the items in the sub-orders in the same category need to be delivered collectively according to the delivery areas (i.e., the items in the same delivery area are delivered collectively). If the sub-orders have been classified by delivery area in step S102, the items in the sub-orders of the same category can be delivered collectively directly. In this way, the complete flow of order processing, order production and item delivery is completed.

In particular, in the embodiment of the present invention, a method for guiding a user to centrally place an order by using a price dynamic adjustment mechanism is provided, which is specifically performed as follows.

1. A mapping between the quantity of items and the price adjustment factor is first established for each item category (which is different from the category into which the sub-order is placed). Wherein the above categories may correspond to different particle sizes. For example, all items within the system are considered as one category, or each three-level category (e.g., men's shirt, men's pants, or two different three-level categories) is considered as one category, or each item (as distinguished by stock keeping unit SKU) is considered as one category individually. As another example, all items within the system are considered as a category, while each tertiary category is considered as a category, and each item is considered individually as a category. The price adjustment factor may be a number between zero and one. The mapping for a certain type of article can be shown in the following table.

Number of articles	Coefficient of price adjustment
		[5000,15000]	0.7
[2000,5000)	0.8
		(15000,18000]	0.9
[0,2000)	1
		(18000,+∞)	1

The mapping relationship may be a mapping relationship between a specific number and a price adjustment coefficient, for example, the price adjustment coefficient is 0.7 for 100 and 0.8 for 200. Preferably, the price adjustment factor is a price discount, and the product of the price adjustment factor and the initial price of the item is the actual price of the item. In practical applications, the price adjustment coefficient may also be other parameters for adjusting the price of the article in any way, and the invention is not limited to this, and the price adjustment coefficient is taken as the price discount and is described as an example below.

It can be understood that in order to maintain high logistics efficiency of the order production link and the distribution link, the items purchased by the user are required to be in a moderate range, if the quantity is too large, the warehouse production capacity and the distribution capacity can be exceeded, even a default is caused, if the quantity is too small, the advantage of intensive production is difficult to embody, so that the optimal quantity range can be determined and the lowest price discount can be set, and the higher discount or no discount is set outside the quantity range, so that the user is guided to place orders in the desired quantity range of the items, and thus the logistics efficiency of each link is remarkably improved. In the above table, [5000,15000] is the range of the number of orders desired to be placed by the user in a concentrated manner, and the price adjustment factor set for this is 0.7. The price adjustment factor is relatively increased until it becomes 1 when the number of items deviates from this range, a price adjustment factor of 1 indicating no discount, the actual price of the item being its initial price.

2. And receiving information of the articles to be purchased submitted by the user, and acquiring the quantity of the articles which are contained in the unproductive sub-order currently corresponding to any delivery time range and belong to the same category as the articles to be purchased. In a particular application, the item to be purchased may be an item placed in the page of the shopping cart by the user. For any item to be purchased and any delivery time range shown in the page of the shopping cart, this step first obtains the number of items belonging to the same category as the item to be purchased in the unproductive sub-order corresponding to the delivery time range. The "category" in this step can be determined according to the following rules: if there is only one kind of the kind related to the item to be purchased and the aforementioned mapping relationship is established in advance, it is taken as the "kind" in this step, and if there are a plurality of kinds of the kind related to the item to be purchased and the aforementioned mapping relationship is established in advance, the kind having the smallest granularity is taken as the "kind" in this step. For example, if there are a primary category, a secondary category and a SKU category (mapping relationship is established in advance for all three categories) for a certain item to be purchased, the SKU category with the smallest granularity is used in this step.

3. And determining a price adjustment coefficient corresponding to the obtained quantity of the articles according to a mapping relation between the quantity of the articles and the price adjustment coefficient which is established for the category in advance, and obtaining the actual price of the articles to be purchased corresponding to the distribution time range by utilizing the determined price adjustment coefficient and the initial price of the articles to be purchased and displaying the actual price to the user. It will be appreciated that where the price adjustment factor is a price discount, the actual price is the product of the initial price and the price adjustment factor.

Through the arrangement, the floating price of the to-be-purchased articles in each distribution time range can be displayed on the page of the shopping cart, so that the shopping experience of a user is improved, and the logistics efficiency is improved. In practical application, since there is a certain time interval between the user selection and the transaction confirmation, the actual price of the item is often required to be re-determined before the transaction confirmation, and the specific process may be: firstly, a user selects a certain distribution time range displayed on a page and a corresponding actual price, and the background receives a user instruction and then recalculates the actual price of the goods according to the current quantity of the goods. And if the actual price changes, displaying the actual price to the user, determining whether to trade according to a subsequent instruction of the user, and prompting the user if the trade cannot be continued due to the shortage of the goods.

In the technical scheme of the embodiment of the invention, in consideration of the fact that the logistics efficiency can be improved by carrying out centralized production and distribution on the articles which correspond to the same target warehouse and are in the same distribution time range and the same volume range, after the user order is received, the user order is split according to the target warehouse, the distribution time range and the volume range, and the split sub-orders are classified, so that the sub-orders of each category correspond to the same target warehouse, and the articles in the sub-orders of each category are in the same distribution time range and the same volume range. Therefore, when order production is carried out according to each category of order information, the stacking of articles in storage containers such as trays, shelves and the like is facilitated; when the distribution is carried out according to the order information of each category, the arrangement of the articles in the transport vehicle is facilitated, and therefore the logistics efficiency is improved in multiple links. On the basis of using the target warehouse, the distribution time range and the volume range to split orders and classify sub orders, the invention further uses the weight range, the shape and/or the distribution area to split orders and classify sub orders, thereby realizing more refined order handling and further improving the order production efficiency and the distribution efficiency. In addition, in order to guide the user to intensively place orders when the quantity of articles in an unproductive order reaches a desired quantity or is in a preset range so as to improve the order production efficiency, the invention can establish a mapping relation between the quantity of articles and the price adjustment coefficient in advance, determine the price adjustment coefficient of each distribution time range by using the mapping relation after the user determines the articles to be purchased, and finally show the price of the articles which corresponds to each distribution time range and is adjusted by the price adjustment coefficient to the user.

It should be noted that, for the convenience of description, the foregoing method embodiments are described as a series of acts, but those skilled in the art will appreciate that the present invention is not limited by the order of acts described, and that some steps may in fact be performed in other orders or concurrently. Moreover, those skilled in the art will appreciate that the embodiments described in the specification are presently preferred and that no acts or modules are necessarily required to implement the invention.

To facilitate a better implementation of the above-described aspects of embodiments of the present invention, the following also provides relevant means for implementing the above-described aspects.

Referring to fig. 2, an apparatus 200 for processing task sets according to an embodiment of the present invention may include: a splitting unit 201, a classification unit 202 and an execution unit 203.

Preferably, the task set comprises user orders, and the task subset formed by splitting the task set comprises sub-orders. Specifically, the splitting unit 201 may be configured to: after receiving the user orders, transferring the items in each user order into at least one sub-order; wherein any sub-order corresponds to a destination warehouse, and each item in any sub-order is in the same distribution time range and the same volume range. The sorting unit 202 may be configured to sort the plurality of sub-orders into at least one category according to a destination warehouse, a delivery time range, and a volume range; wherein the sub-orders in any category correspond to the same destination warehouse, and each item in any category of sub-orders is in the same distribution time range and the same volume range. The execution unit 203 may be used to perform order production and/or delivery of items using sub-order information of the same category.

In an embodiment of the present invention, the execution unit 203 may further be configured to: sending the sub-orders of the same category to a target warehouse corresponding to the category for centralized production; and/or after the order is produced, classifying the items in the sub-orders in the same category according to the distribution area and then intensively distributing the items.

Preferably, in the embodiment of the present invention, each item in any sub-order is in the same weight range; the classification unit 202 may further be configured to: placing the plurality of sub-orders into at least one category according to a destination warehouse, a delivery time range, a volume range, and a weight range; wherein the sub-orders in any category correspond to the same destination warehouse, and each item in any category of sub-orders is in the same distribution time range, the same volume range and the same weight range.

As a preferred approach, each item in any one sub-order has the same shape; the classification unit 202 may further be configured to: placing the plurality of sub-orders into at least one category according to destination warehouse, delivery time range, volume range and shape; wherein the sub-orders in any category correspond to the same destination warehouse, and each item in any category of sub-orders is in the same distribution time range and the same volume range and has the same shape.

In practical application, the items in any sub-order correspond to the same delivery area; the classification unit 202 may further be configured to: classifying the plurality of sub-orders into at least one category according to a destination warehouse, a delivery time range, a volume range and a delivery area; the sub-orders in any category correspond to the same destination warehouse, and each article in the sub-orders in any category corresponds to the same delivery area and is in the same delivery time range and the same volume range.

Furthermore, in an embodiment of the present invention, the apparatus 200 may further include a price adjustment unit for: before receiving a user order, receiving information of an article to be purchased submitted by a user, and acquiring the quantity of the article which is contained in the unproductive sub-order corresponding to any delivery time range and belongs to the same kind as the article to be purchased; determining a price adjustment coefficient corresponding to the acquired quantity of the articles according to a mapping relation between the quantity of the articles and the price adjustment coefficient which is established for the type in advance; and obtaining the actual price of the item to be purchased corresponding to the distribution time range by using the determined price adjustment coefficient and the initial price of the item to be purchased, and displaying the actual price of the item to be purchased to the user.

Fig. 3 illustrates an exemplary system architecture 300 of a method of processing a set of tasks or an apparatus for processing a set of tasks to which embodiments of the invention may be applied.

As shown in fig. 3, the system architecture 300 may include

terminal devices

301, 302, 303, a network 304 and a server 305 (this architecture is merely an example, and the components included in a particular architecture may be adapted according to the application specific circumstances). The network 304 serves as a medium for providing communication links between the

terminal devices

301, 302, 303 and the server 305. Network 304 may include various connection types, such as wired, wireless communication links, or fiber optic cables, to name a few.

The user may use the

terminal device

301, 302, 303 to interact with the server 305 via the network 304 to receive or send messages or the like. Various client applications, such as an order processing application or the like (for example only), may be installed on the

terminal devices

301, 302, 303.

The

terminal devices

301, 302, 303 may be various electronic devices having a display screen and supporting web browsing, including but not limited to smart phones, tablet computers, laptop portable computers, desktop computers, and the like.

The server 305 may be a server providing various services, such as an order processing server (for example only) providing support for order processing applications operated by users with the

terminal devices

301, 302, 303. The order processing server may process the received sub-order classification request and feed back the processing result (e.g. the classified sub-orders-just an example) to the

terminal device

301, 302, 303.

It should be noted that the method for processing the task set provided by the embodiment of the present invention is generally executed by the server 305, and accordingly, the device for processing the task set is generally disposed in the server 305.

It should be understood that the number of terminal devices, networks, and servers in fig. 3 is merely illustrative. There may be any number of terminal devices, networks, and servers, as desired for implementation.

The invention also provides the electronic equipment. The electronic device of the embodiment of the invention comprises: one or more processors; a storage device for storing one or more programs which, when executed by the one or more processors, cause the one or more processors to implement the method for processing a set of tasks provided by the present invention.

Referring now to FIG. 4, a block diagram of a computer system 400 suitable for use with the electronic device implementing an embodiment of the invention is shown. The electronic device shown in fig. 4 is only an example, and should not bring any limitation to the functions and the scope of use of the embodiments of the present invention.

As shown in fig. 4, the computer system 400 includes a Central Processing Unit (CPU)401 that can perform various appropriate actions and processes in accordance with a program stored in a Read Only Memory (ROM)402 or a program loaded from a storage section 408 into a Random Access Memory (RAM) 403. In the RAM403, various programs and data necessary for the operation of the computer system 400 are also stored. The CPU401, ROM 402, and RAM403 are connected to each other via a bus 404. An input/output (I/O) interface 405 is also connected to bus 404.

The following components are connected to the I/O interface 405: an input section 406 including a keyboard, a mouse, and the like; an output section 407 including a display device such as a Cathode Ray Tube (CRT), a Liquid Crystal Display (LCD), and the like, and a speaker; a storage section 408 including a hard disk and the like; and a communication section 409 including a network interface card such as a LAN card, a modem, or the like. The communication section 409 performs communication processing via a network such as the internet. A driver 410 is also connected to the I/O interface 405 as needed. A removable medium 411 such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, or the like is mounted on the drive 410 as necessary, so that a computer program read out therefrom is mounted into the storage section 408 as necessary.

In particular, the processes described in the main step diagrams above may be implemented as computer software programs, according to embodiments of the present disclosure. For example, embodiments of the invention include a computer program product comprising a computer program embodied on a computer readable medium, the computer program comprising program code for performing the method illustrated in the main step diagram. In the above-described embodiment, the computer program can be downloaded and installed from a network through the communication section 409, and/or installed from the removable medium 411. The computer program performs the above-described functions defined in the system of the present invention when executed by the central processing unit 401.

It should be noted that the computer readable medium shown in the present invention can be a computer readable signal medium or a computer readable storage medium or any combination of the two. A computer readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples of the computer readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the present invention, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. In the present invention, a computer readable signal medium may include a propagated data signal with computer readable program code embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated data signal may take many forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to: wireless, wire, fiber optic cable, RF, etc., or any suitable combination of the foregoing.

The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present invention. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams or flowchart illustration, and combinations of blocks in the block diagrams or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.

The units described in the embodiments of the present invention may be implemented by software or hardware. The described units may also be provided in a processor, and may be described as: a processor includes a splitting unit, a classification unit, and an execution unit. Where the names of these units do not in some cases constitute a limitation on the units themselves, for example, a split unit may also be described as a "unit providing a subset of tasks to a taxonomy unit".

As another aspect, the present invention also provides a computer-readable medium that may be contained in the apparatus described in the above embodiments; or may be separate and not incorporated into the device. The computer readable medium carries one or more programs which, when executed by the apparatus, cause the apparatus to perform steps comprising: after receiving task sets submitted by a user, transferring objects in each task set into at least one task subset; any task subset corresponds to a destination point, and each object in any task subset has the same attribute in a preset dimension; categorizing the plurality of task subsets into at least one category; the task subsets in any category correspond to the same destination point, and each object in the task subsets in any category has the same attribute in the preset dimension; and executing the tasks in the task set according to the task subset information of the same category.

The above-described embodiments should not be construed as limiting the scope of the invention. Those skilled in the art will appreciate that various modifications, combinations, sub-combinations, and substitutions can occur, depending on design requirements and other factors. Any modification, equivalent replacement, and improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims

1. A method of processing a set of tasks, comprising:

after receiving task sets submitted by a user, transferring objects in each task set into at least one task subset; any task subset corresponds to a destination point, and each object in any task subset has the same attribute in a preset dimension;

categorizing the plurality of task subsets into at least one category; the task subsets in any category correspond to the same destination point, and each object in the task subsets in any category has the same attribute in the preset dimension; and

and executing the tasks in the task set according to the task subset information of the same category.

2. The method of claim 1,

the destination point comprises: a destination warehouse;

the preset dimensions include: delivery time and volume;

each object has the same attribute in the preset dimension, and the method comprises the following steps: each subject is in the same dispensing time range and the same volume range.

3. The method of claim 2, wherein performing the tasks in the task set according to the task subset information of the same category comprises:

sending the task subsets of the same category to a target warehouse corresponding to the category for centralized processing;

and/or after warehouse processing, classifying the objects in the task subset of the same category according to the distribution area and then distributing the objects in the task subset of the same category in a centralized manner.

4. The method of claim 2, wherein each object in any subset of tasks is in the same weight range; and, said categorizing the plurality of task subsets into at least one category comprises:

classifying the plurality of task subsets into at least one category according to a destination warehouse, a delivery time range, a volume range, and a weight range; wherein the subset of tasks in any category corresponds to the same destination warehouse, and each object in the subset of tasks in any category is in the same delivery time range, the same volume range, and the same weight range.

5. The method of claim 2, wherein each object in any subset of tasks has a same shape; and, said categorizing the plurality of task subsets into at least one category comprises:

classifying the plurality of task subsets into at least one category according to destination warehouse, delivery time range, volume range and shape; wherein the task subsets in any category correspond to the same destination warehouse, and each object in the task subsets in any category is in the same distribution time range and the same volume range and has the same shape.

6. The method of claim 2, wherein objects in any subset of tasks correspond to the same delivery area; and, said categorizing the plurality of task subsets into at least one category comprises:

classifying the plurality of task subsets into at least one category according to a destination warehouse, a delivery time range, a volume range and a delivery area; wherein the task subsets in any category correspond to the same destination warehouse, and each object in the task subsets in any category corresponds to the same delivery area and is in the same delivery time range and the same volume range.

7. The method of any of claims 1-6, wherein the set of tasks are orders, the subset of tasks are sub-orders, and the object is an item; and, the method further comprises: prior to receiving the user order:

receiving information of the articles to be purchased submitted by a user, and acquiring the quantity of the articles which are contained in the unproductive sub-order corresponding to any delivery time range and belong to the same kind as the articles to be purchased;

determining a price adjustment coefficient corresponding to the acquired quantity of the articles according to a mapping relation between the quantity of the articles and the price adjustment coefficient which is established for the type in advance; and

and obtaining the actual price of the item to be purchased corresponding to the distribution time range by using the determined price adjustment coefficient and the initial price of the item to be purchased, and displaying the actual price of the item to be purchased to the user.

8. An apparatus for processing a set of tasks, comprising:

a splitting unit for: after receiving task sets submitted by a user, transferring objects in each task set into at least one task subset; any task subset corresponds to a destination point, and each object in any task subset has the same attribute in a preset dimension;

a classification unit for classifying the plurality of task subsets into at least one category; the task subsets in any category correspond to the same destination point, and each object in the task subsets in any category has the same attribute in the preset dimension;

and the execution unit is used for executing the tasks in the task set according to the task subset information of the same category.

9. An electronic device, comprising:

one or more processors;

a storage device for storing one or more programs,

when executed by the one or more processors, cause the one or more processors to implement the method of any one of claims 1-7.

10. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the method according to any one of claims 1-7.