CN113762674A - Order distribution method and device - Google Patents

Order distribution method and device Download PDF

Info

Publication number
CN113762674A
CN113762674A CN202011139661.4A CN202011139661A CN113762674A CN 113762674 A CN113762674 A CN 113762674A CN 202011139661 A CN202011139661 A CN 202011139661A CN 113762674 A CN113762674 A CN 113762674A
Authority
CN
China
Prior art keywords
distribution
delivery
area
order
determining
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Granted
Application number
CN202011139661.4A
Other languages
Chinese (zh)
Other versions
CN113762674B (en
Inventor
王海生
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Beijing Jingdong Zhenshi Information Technology Co Ltd
Original Assignee
Beijing Jingdong Zhenshi Information Technology Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Beijing Jingdong Zhenshi Information Technology Co Ltd filed Critical Beijing Jingdong Zhenshi Information Technology Co Ltd
Priority to CN202011139661.4A priority Critical patent/CN113762674B/en
Publication of CN113762674A publication Critical patent/CN113762674A/en
Application granted granted Critical
Publication of CN113762674B publication Critical patent/CN113762674B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/06Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063Operations research, analysis or management
    • G06Q10/0631Resource planning, allocation, distributing or scheduling for enterprises or organisations
    • G06Q10/06311Scheduling, planning or task assignment for a person or group
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/08Logistics, e.g. warehousing, loading or distribution; Inventory or stock management
    • G06Q10/083Shipping
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/08Logistics, e.g. warehousing, loading or distribution; Inventory or stock management
    • G06Q10/083Shipping
    • G06Q10/0835Relationships between shipper or supplier and carriers
    • G06Q10/08355Routing methods
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00Commerce
    • G06Q30/06Buying, selling or leasing transactions
    • G06Q30/0601Electronic shopping [e-shopping]
    • G06Q30/0633Lists, e.g. purchase orders, compilation or processing
    • G06Q30/0635Processing of requisition or of purchase orders

Landscapes

  • Business, Economics & Management (AREA)
  • Engineering & Computer Science (AREA)
  • Human Resources & Organizations (AREA)
  • Economics (AREA)
  • Strategic Management (AREA)
  • Physics & Mathematics (AREA)
  • Development Economics (AREA)
  • Theoretical Computer Science (AREA)
  • Entrepreneurship & Innovation (AREA)
  • General Physics & Mathematics (AREA)
  • Marketing (AREA)
  • General Business, Economics & Management (AREA)
  • Operations Research (AREA)
  • Tourism & Hospitality (AREA)
  • Quality & Reliability (AREA)
  • Accounting & Taxation (AREA)
  • Finance (AREA)
  • Game Theory and Decision Science (AREA)
  • Educational Administration (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)

Abstract

The invention discloses an order distribution method and device, and relates to the technical field of computers. One embodiment of the order distribution method comprises the following steps: acquiring address data of orders to be delivered of at least one express company in a preset delivery range of a specified delivery node; forming an order set by orders to be distributed belonging to the same distribution object according to the acquired address data; and determining a delivery plan according to the order set. When the orders to be distributed of the same distribution object are distributed by a plurality of express companies respectively, the implementation mode can ensure that the plurality of express companies distribute the orders to be distributed of the same distribution object simultaneously.

Description

Order distribution method and device
Technical Field
The invention relates to the technical field of computers, in particular to an order distribution method and device.
Background
At present, when orders to be delivered of the same delivery object (a receiver or a sender) are delivered by a plurality of express companies respectively, the existing delivery mode cannot guarantee that the plurality of express companies can deliver the orders to be delivered of the same delivery object at the same time, and the delivery object needs to receive or deliver the orders for a plurality of times. However, in some special periods, such as epidemic periods, multiple consignments or shipments may bring risks to the safety of the distribution objects and seriously affect the user experience.
Disclosure of Invention
In view of this, embodiments of the present invention provide an order distribution method and an order distribution device, which can solve the problem that the existing distribution method cannot guarantee simultaneous distribution of orders to be distributed of the same distribution object.
To achieve the above object, according to an aspect of an embodiment of the present invention, an order distribution method is provided.
The order distribution method of the embodiment of the invention comprises the following steps:
acquiring address data of orders to be delivered of at least one express company in a preset delivery range of a specified delivery node;
forming an order set by orders to be distributed belonging to the same distribution object according to the acquired address data;
and determining a delivery plan according to the order set.
Optionally, the forming, according to the obtained address data, an order set of orders to be delivered belonging to the same delivery object includes:
determining the region codes of the distribution regions in the preset distribution range of the specified distribution nodes according to the acquired address data and the corresponding relation between the distribution regions corresponding to the specified distribution nodes and the region codes of the address data; the address data corresponds to a plurality of distribution nodes, each distribution node is provided with at least one distribution area, the distribution areas are correspondingly provided with unique area codes, and the area codes refer to code information for distinguishing the distribution areas;
confirming the distribution objects with consistent area codes and consistent address data of the distribution areas as the same distribution object, or confirming the distribution objects with consistent area codes and consistent identification codes of the distribution areas as the same distribution object, and forming order sets of orders to be distributed belonging to the same distribution object; the identification code is identification information for distinguishing the distribution object.
Optionally, the determining, according to the obtained address data and the correspondence between the distribution area corresponding to the address data and the area code, the area code of the distribution area within the preset distribution range of the designated distribution node includes:
matching a distribution area corresponding to the address data according to the acquired address data in a fuzzy manner;
and determining the area code of the distribution area according to the corresponding relation between the distribution area and the area code.
Optionally, the delivery plan includes at least: the method comprises the steps of distributing the distribution sequence of distribution areas within the preset distribution range of a specified distribution node and/or the residence time of the express delivery company in the distribution areas.
Optionally, when the delivery plan includes: when a delivery sequence of delivery areas within a preset delivery range of a delivery node is specified, determining a delivery plan according to the order set includes:
determining the maximum value of the number of express companies of the order set in the distribution area within a preset distribution range of a specified distribution node;
and determining the distribution sequence of the distribution area according to the maximum value of the number of the express companies of the order set in the distribution area.
Optionally, determining a delivery order of the delivery areas according to a maximum value of the number of delivery companies of the order set in the delivery areas includes:
if the maximum value of the number of the express companies of the order set in different distribution areas is different, determining the distribution sequence of the distribution areas by taking the strategy that the distribution is carried out earlier when the maximum value of the number of the express companies of the order set in the distribution areas is larger.
Optionally, the determining a delivery order of the delivery areas according to a maximum value of the number of delivery companies of the order set in the delivery areas includes:
if the maximum value of the number of the express companies of the order sets in different distribution areas is larger than 1 and the maximum value of the number of the express companies of the order sets in different distribution areas is the same, determining the total number of orders to be distributed in the distribution areas within preset time;
and determining the distribution sequence of the distribution areas by taking the strategy that the more orders to be distributed in the distribution areas are, the earlier the orders are distributed.
Optionally, when the delivery plan includes: when the express company stays in the delivery area for a certain time, determining a delivery plan according to the order set includes:
determining the total amount of orders to be distributed in the distribution area within preset time;
and determining the residence time of the express company in the delivery area according to the total amount of the orders to be delivered in the delivery area within the preset time.
Optionally, the method further comprises:
if the current time is within the residence time range of the distribution area, acquiring the position information of a first terminal of a courier responsible for distribution of the distribution area;
and if the position information of the first terminal is not in the distribution area, sending violation information to the first terminal.
Optionally, the method further comprises:
receiving registration information sent by a first terminal of a courier, wherein the registration information at least comprises: the city, the distribution area of the distribution node and the site position of the distribution node are responsible for;
and determining the site of the delivery node to which the courier belongs according to the registration information.
Optionally, the method further comprises:
determining a first terminal of a courier corresponding to an order to be delivered of the order set;
and sending a delivery plan to the first terminal.
Optionally, the method further comprises:
determining the delivery time of the order to be delivered according to the delivery plan;
and sending the distribution time to a second terminal of a distribution object of the order to be distributed according to the distribution time of the order to be distributed.
Optionally, the designated distribution node is a cell.
To achieve the above object, according to another aspect of the embodiments of the present invention, there is provided an order delivery apparatus.
The order distribution device of the embodiment of the invention comprises:
the system comprises an acquisition module, a distribution module and a distribution module, wherein the acquisition module is used for acquiring address data of an order to be distributed of at least one express company in a preset distribution range of a specified distribution node;
the collection module is used for forming an order collection for the orders to be distributed belonging to the same distribution object according to the acquired address data;
and the determining module is used for determining a delivery plan according to the order set.
To achieve the above object, according to another aspect of an embodiment of the present invention, there is provided an electronic apparatus.
The electronic device of the embodiment of the invention comprises:
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 as described above.
To achieve the above object, according to another aspect of an embodiment of the present invention, there is provided a computer-readable medium.
A computer-readable medium of an embodiment of the invention has stored thereon a computer program which, when executed by a processor, implements the method as described above.
One embodiment of the above invention has the following advantages or benefits:
in the embodiment of the invention, firstly, according to the acquired address data of the orders to be delivered of at least one express company in the preset delivery range of the appointed delivery node, the orders to be delivered belonging to the same delivery object form an order set, and then a delivery plan is made uniformly according to the order set. Therefore, when the orders to be distributed of the same distribution object are distributed by a plurality of express companies respectively, the distribution plan can ensure that the plurality of express companies distribute the orders to be distributed of the same distribution object simultaneously.
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 flow chart illustrating an order distribution method according to a first embodiment of the present invention;
FIG. 2 is a flow chart illustrating an order distribution method according to a second embodiment of the present invention;
FIG. 3 is a flowchart illustrating an order distribution method according to a third embodiment of the present invention;
FIG. 4 is a block diagram representation of an order delivery apparatus according to an embodiment of the present invention;
FIG. 5 is an exemplary system architecture diagram in which embodiments of the present invention may be employed;
fig. 6 is a schematic block diagram of a computer system suitable for use in implementing a terminal device or server of an embodiment of the invention.
Detailed Description
Exemplary embodiments of the present invention are described below with reference to the accompanying drawings, in which various details of embodiments of the invention are included to assist understanding, and which are to be considered as merely exemplary. Accordingly, those of ordinary skill in the art will recognize that various changes and modifications of the embodiments described herein can be made without departing from the scope and spirit of the invention. Also, descriptions of well-known functions and constructions are omitted in the following description for clarity and conciseness.
Fig. 1 is a flowchart illustrating an order distribution method according to a first embodiment of the present invention, and as shown in fig. 1, the order distribution method may include the following steps:
step 101: the method comprises the steps of obtaining address data of orders to be delivered of at least one express company in a preset delivery range of a specified delivery node.
In step 101, each express company is provided with a plurality of delivery nodes, each delivery node is correspondingly provided with a preset delivery range, and at least one delivery area is arranged in the preset delivery range of each delivery node. The designated distribution node may be any one of the distribution nodes, and may be determined according to actual needs. The address data is used for representing the delivery addresses of the orders to be delivered of different express companies, and the address data can be the receiving addresses or the delivery addresses of the orders to be delivered.
For example: the express company is respectively provided with distribution nodes in provinces, cities, districts and cells. Assuming that a cell is taken as a designated distribution node, there are 3 cells within a preset distribution range of the designated distribution node: the address data of the order to be delivered of the cell a, the cell B and the cell C is obtained through step 101.
Before step 101, receiving registration information sent by a first terminal of a courier, wherein the registration information at least comprises: the city, the distribution area of the responsible distribution node and the site location of the distribution node. And further determining the site of the delivery node to which the courier belongs according to the registration information.
Step 102: and forming an order set by the orders to be distributed belonging to the same distribution object according to the acquired address data.
In step 102, the delivery object may be understood as a receiver or a sender of the order to be delivered. Through step 102, order sets corresponding to different distribution areas in the designated distribution node can be obtained, and different distribution objects correspond to different order sets. The order set may be understood as a set formed by orders to be delivered of the same delivery object.
When the order set is formed, firstly, according to the acquired address data and the corresponding relation between the distribution area corresponding to the address data in the appointed distribution node and the area code, the area code of the distribution area in the preset distribution range of the appointed distribution node is determined. The address data corresponds to a plurality of distribution nodes, each distribution node is provided with at least one distribution area, the distribution areas are correspondingly provided with unique area codes, and the area codes refer to code information for distinguishing the distribution areas; and then, confirming the distribution objects with consistent area codes and consistent address data of the distribution areas as the same distribution object, or confirming the distribution objects with consistent area codes and consistent identification codes of the distribution areas as the same distribution object, confirming the distribution objects as the same distribution object, and forming order sets of orders to be distributed belonging to the same distribution object. It should be noted that the identification code refers to identification information for distinguishing the distribution objects, and the identification code may be, but is not limited to, an identification number or a mobile phone number.
It is understood that the orders to be delivered with consistent area codes can be firstly formed into a first set, and then the orders to be delivered with consistent address data or consistent identification codes in the first set are formed into an order set. It is to be understood that the first set includes at least one order set.
For example: assuming that the address data is a D-cell E-floor of a C-cell of B city, a province, a city, a district and a cell, respectively, distribution nodes may be respectively set in the province, the city, the district and the cell during the process of distributing the orders to be distributed. The cell may be designated as a designated distribution node and the area of the dcell is coded as D1. The distribution objects whose areas are coded as D1 and whose address data are identical or the distribution objects whose areas are coded as D1 and whose mobile phone numbers are identical may be identified as the same distribution object. And finally forming an order set by the orders to be delivered belonging to the same delivery object.
When determining the area code of the distribution area, the distribution area corresponding to the address data may be first obtained by fuzzy matching according to the acquired address data. And then determining the region codes of the distribution regions according to the corresponding relation between the distribution regions and the region codes.
The correspondence between the delivery area and the area code may be set in advance before step 102. Taking the example that the designated distribution node is a cell, the correspondence relationship between the area codes of the cells may be preset before step 102.
Step 103: each delivery plan is determined from the set of orders.
In step 103, the delivery plan at least comprises: the delivery sequence of each delivery area within the preset delivery range of the designated delivery node and/or the residence time of the express company in each delivery area. The orders to be delivered of the same delivery object correspond to one order set, and the orders to be delivered of different delivery objects correspond to different order sets, and the delivery order of each delivery area and/or the residence time of the express company in each delivery area within the preset delivery range of the specified delivery node can be determined through step 103.
When the delivery plan includes: in order to determine the delivery order of each delivery area within the preset delivery range of the designated delivery node, the maximum value of the number of carriers of the order set in each delivery area may be determined first within the preset delivery range of the designated delivery node. And then determining the distribution sequence of each distribution area according to the maximum value of the number of the express companies of the order set in each distribution area.
Further, if the maximum value of the number of the delivery companies of the order set in each delivery area is different, determining the delivery sequence of each delivery area by taking the strategy that the delivery is earlier the greater the maximum value of the number of the delivery companies of the order set in each delivery area is. And if the maximum value of the number of the express companies of the order set in each distribution area is greater than 1 and the maximum value is the same, determining the total amount of the orders to be distributed in each distribution area. And determining the distribution sequence of each distribution area by taking the strategy that the more orders to be distributed in the distribution areas are, the earlier the orders are distributed.
When the delivery plan includes: when the delivery company stays in each delivery area, in order to determine the stay time of each delivery company in each delivery area, the total amount of orders to be delivered in the delivery area within a preset time may be determined first. And then determining the residence time of the express company in the delivery area according to the total amount of the orders to be delivered in the delivery area within the preset time.
Furthermore, the residence time of the express company in the delivery area can be determined according to the total amount of the orders to be delivered in the delivery area and the residence time ratio in the preset time, and the residence time ratio can be preset according to the experience of the couriers. For example, 500 to 1000 to-be-dispensed orders are set to stay for 45 minutes, and 1000 to 2000 to-be-dispensed orders stay for 80 minutes.
After step 103, in order to facilitate timely delivery of the item by the courier, the method further comprises: and determining a first terminal of the courier corresponding to the order to be delivered of the order set, and sending a delivery plan to the first terminal of the courier.
After step 103, to determine a delivery time for the order to be delivered, the method further comprises: firstly, according to a delivery plan, determining the delivery time of an order to be delivered. And then sending the distribution time to a second terminal of a distribution object of the order to be distributed according to the distribution time of the order to be distributed. Further, the delivery time may be sent to the second terminal of the delivery object of the order to be delivered by way of WeChat or information.
After step 103, in order to allow the courier to stay in the corresponding delivery area for the prescribed stay time, the method further includes: if the current time is within the residence time range of the distribution area, acquiring the position information of a first terminal of a courier responsible for distribution of the distribution area; and if the position information of the first terminal is not in the distribution area, sending violation information to the first terminal.
In the embodiment of the invention, firstly, according to the acquired address data of the orders to be delivered of at least one express company in the preset delivery range of the appointed delivery node, the orders to be delivered belonging to the same delivery object form an order set, and then a delivery plan is made uniformly according to the order set. Therefore, when the orders to be distributed of the same distribution object are distributed by a plurality of express companies respectively, the distribution plan can ensure that the plurality of express companies distribute the orders to be distributed of the same distribution object simultaneously.
Fig. 2 is a flowchart illustrating an order distribution method according to a first embodiment of the present invention, and as shown in fig. 2, the order distribution method may include the following steps:
step 201: acquiring address data of orders to be delivered of at least one express company in a preset delivery range of a specified delivery node;
in step 201, each express company is provided with a plurality of delivery nodes, each delivery node is correspondingly provided with a preset delivery range, and at least one delivery area is located in the preset delivery range of each delivery node. The designated distribution node can be any one distribution node, and can be determined according to actual needs. The address data is used for representing the delivery addresses of the orders to be delivered of different express companies, and the address data can be the receiving addresses or the delivery addresses of the orders to be delivered.
For example: the express company is respectively provided with distribution nodes in provinces, cities, districts and cells. Assuming that a cell is taken as a designated distribution node, there are 3 cells within a preset distribution range of the designated distribution node: the address data of the order to be delivered of the cell a, the cell B and the cell C is obtained through step 201.
Before step 201, receiving registration information sent by a first terminal of a courier, where the registration information at least includes: the city, the distribution area of the responsible distribution node and the site location of the distribution node. And further determining the site of the delivery node to which the courier belongs according to the registration information.
Step 202: and determining the area code of the distribution area in the preset distribution range of the specified distribution node according to the acquired address data and the corresponding relation between the distribution area corresponding to the address data at the specified distribution node and the area code.
In step 202, a distribution area corresponding to the address data may be first obtained by fuzzy matching according to the obtained address data. And then determining the region codes of the distribution regions according to the corresponding relation between the distribution regions and the region codes.
The correspondence between the delivery area and the area code may be set in advance before step 202. Taking the example that the designated distribution node is a cell, the correspondence relationship between the area codes of the cells may be preset before step 202.
Step 203: and identifying the distribution objects with consistent area codes and consistent address data of the distribution areas as the same distribution object, or identifying the distribution objects with consistent area codes and consistent identification codes of the distribution areas as the same distribution object, and forming order sets of orders to be distributed belonging to the same distribution object. It should be noted that the identification code is used to distinguish the distribution objects, and the identification code may be, but is not limited to, an identification card number or a mobile phone number.
It is understood that the orders to be delivered with consistent area codes can be firstly formed into a first set, and then the orders to be delivered with consistent address data or consistent identification codes in the first set are formed into an order set. It is to be understood that the first set includes at least one order set.
In step 203, the delivery object may be understood as a receiver or a sender of the order to be delivered. The order sets corresponding to different distribution areas in the designated distribution node can be obtained through step 203, and different distribution objects correspond to different order sets. The order set may be understood as a set formed by orders to be delivered of the same delivery object.
For example: assuming that the address data is a D-cell E-floor of a C-cell of B city, a province, a city, a district and a cell, respectively, distribution nodes may be respectively set in the province, the city, the district and the cell during the process of distributing the orders to be distributed. The cell may be designated as a designated distribution node and the area of the dcell is coded as D1. The distribution objects whose areas are coded as D1 and whose address data are identical or the distribution objects whose areas are coded as D1 and whose mobile phone numbers are identical may be identified as the same distribution object. And finally forming an order set by the orders to be delivered belonging to the same delivery object.
Step 204: and determining the maximum value of the number of the express companies of the order set in the distribution area within the preset distribution range of the appointed distribution node.
In step 204, different distribution areas correspond to different order sets, and the number of express companies in different order sets is different. For example: the distribution area is a cell A, the cell A has 2 order sets, the number of express companies in one order set is 10, the number of express companies in the other order set is 15, and the maximum number of the express companies in the cell A is 15.
Step 205: and determining the distribution sequence of the distribution area according to the maximum value of the number of the express companies of the order set in the distribution area.
In step 205, if the maximum value of the number of the carriers of the order set in different distribution areas is different, the distribution order of each distribution area is determined by taking the strategy that the larger the maximum value of the number of the carriers of the order set in each distribution area is, the earlier the distribution is. And if the maximum value of the number of the express companies of the order sets in the different distribution areas is larger than 1 and is the same, determining the total amount of the orders to be distributed in each distribution area. And determining the distribution sequence of each distribution area by taking the strategy that the more orders to be distributed in the distribution areas are, the earlier the orders are distributed.
Step 206: and determining the total amount of the orders to be distributed in the distribution area within the preset time.
In step 206, the preset time may be determined according to actual needs, and the preset time may be a whole day or a specified time period within a day. For example: the preset time is the whole day, the distribution area is the cell a, and the total amount of the orders to be distributed in the cell a in one day can be determined through the step 206.
Step 207: and determining the residence time of the express company in the delivery area according to the total amount of the orders to be delivered in the delivery area within the preset time.
In step 207, the residence time of the express company in the delivery area may be determined according to the total amount of the orders to be delivered in the delivery area and the residence time ratio in the preset time, and the residence time ratio may be set in advance according to the experience of the courier. For example, 500 to 1000 to-be-dispensed orders are set to stay for 45 minutes, and 1000 to 2000 to-be-dispensed orders stay for 80 minutes.
After step 207, to facilitate timely delivery of the item by the courier, the method further comprises: and determining a first terminal of the courier corresponding to the order to be delivered of the order set, and sending a delivery plan to the first terminal of the courier.
After step 207, to determine a delivery time for the order to be delivered, the method further comprises: firstly, according to a delivery plan, determining the delivery time of an order to be delivered. And then sending the distribution time to a second terminal of a distribution object of the order to be distributed according to the distribution time of the order to be distributed. Further, the delivery time may be sent to the second terminal of the delivery object of the order to be delivered by way of WeChat or information.
After step 207, in order for the courier to reach the corresponding delivery zone within the specified dwell time, the method further comprises: if the current time is within the residence time range of the distribution area, acquiring the position information of a first terminal of a courier responsible for distribution of the distribution area; and if the position information of the first terminal is not in the distribution area, sending violation information to the first terminal.
In the embodiment of the invention, firstly, according to the acquired address data of the orders to be delivered of at least one express company in the preset delivery range of the appointed delivery node, the orders to be delivered belonging to the same delivery object form an order set, and then a delivery plan is made uniformly according to the order set. Therefore, when the orders to be distributed of the same distribution object are distributed by a plurality of express companies respectively, the distribution plan can ensure that the plurality of express companies distribute the orders to be distributed of the same distribution object simultaneously.
Referring to fig. 3, an embodiment of the present invention further provides a distribution system, which may be in SAAS version. The delivery system includes: the system comprises an express distribution system, an express background system, a first terminal of a courier and a second terminal of a distribution object. It should be noted that the express background system may be integrated into APPs of various express companies. Different express companies register in an express background system, each courier selects a city and an area where the courier is located and a specific position of a distribution node of the express company where the courier is located after registering, and the information is stored as registration information. The express background system determines a distribution node where the courier is located according to the registration information, the express background system sends the distribution node where the courier is located to an express general distribution system, and the express general distribution system determines a cell and a cell code of a to-be-distributed order within a preset distribution range of a designated distribution node. In order to determine the area code of the distribution node, a correspondence between the cell and the area code of the cell may be preset in the express distribution system. The express distribution system can perform fuzzy search on keywords of the cells according to the corresponding relation between the cell and the regional codes of the cells, and match the regional codes corresponding to each cell.
The express distribution system can determine the proportion of the stay time according to the total number of the orders to be distributed in the preset time of the appointed distribution node, wherein the preset time can be the whole day or the appointed time period in the whole day. For example: taking the example that the designated distribution node is a cell and the preset time is today, the total number of the cells today is 300 or more, and the residence time in the cell may be 1 hour. The total number of cells today is between 100 and 300, and the dwell time in this cell may be 45 minutes. The total number of cells today is 100 or less, the dwell time in the cell may be 30 minutes, etc.
Each courier registers the estimated outbound time and shift of the current day with the APP of the courier company before the courier is outbound every day, and each courier company needs to make a data interface to synchronize the address data of the order to be delivered to the courier platform system.
Specifically, taking an example that a designated distribution node is a cell, the processing procedure of the distribution system may include the following steps:
step 301: after receiving the address data of each express company, the express general distribution system performs keyword matching according to the address data of the order to be distributed of each express company, and matches the cell to which each order to be distributed belongs and the region code corresponding to the cell.
Step 302: and screening orders to be distributed, belonging to the same distribution object, of each express company to form an order set.
In step 302, the policy of determining whether the orders to be delivered belong to the same delivery object is: the distribution objects of the orders to be distributed, which belong to the same cell and have the same identification code, or the distribution objects of the orders to be distributed, which belong to the same cell and have the same address data, are determined as the same distribution object, and the distribution objects can be consignees or consignees.
It should be noted that, different express companies are provided with at least one delivery node, and each delivery node includes: at least one delivery area, each delivery area having at least one order set. When the designated distribution node is a cell, the distribution area may correspond to different cells within a preset distribution range, at least one cell to be distributed by each express company is provided, and at least one order set corresponds to one cell.
Step 303: the distribution sequencing of the cells is to make a ranking between the cells.
The cell distribution can be sorted, i.e. a ranking between cells, by step 303. And the cells with the largest number of express companies related to the same delivery object can be preferentially delivered. For example: the express companies of the same distribution object in the cell A are related to 5 at most on the same day, and the express companies of the same distribution object in the cell B are related to 4 at most on the same day. When the cells are sorted, the a cell is arranged in front of the B cell. And if the same delivery object does not exist in the C cell at all, the conditions that a plurality of express deliveries are related to the same delivery object do not exist, and the delivery time does not need to be arranged for the C cell.
It is to be understood that, when the order set in each cell does not relate to a plurality of courier companies, the order to be delivered of the same delivery object only relates to a cell of one courier company, and the delivery time may not need to be scheduled until the delivery time is freely scheduled by a courier. For example, the same delivery object in the cell a relates to 5 express companies at most on the same day, and the same delivery object in the cell D also relates to 5 express companies at most on the same day. In order to determine the distribution sequence of the cell a and the cell D, the total number of the orders to be distributed corresponding to the cell a and the cell D may be determined, and the larger the total number of the orders to be distributed, the higher the ranking, and the distribution may be performed first.
The strategy is also used for solving the problem of uniform delivery or uniform delivery of delivery objects, and aiming at the condition that the same delivery object relates to a plurality of express companies, the delivery is preferentially carried out, and aiming at the condition that the same consignee does not relate to a plurality of express companies, the uniform delivery does not need to be arranged systematically. In the limit, if the condition that the same delivery object corresponds to a plurality of express companies does not occur in all the cells in the same day, the delivery sequence does not need to be arranged by the system.
Step 304: and aiming at the cells needing to be uniformly distributed, calculating the residence time of each cell according to the total number of the orders to be distributed at the specified distribution node and the residence time ratio in the preset time of each express company.
In step 304, for the cells to be uniformly scheduled for distribution, the residence time of each cell is calculated according to the total number of the orders to be distributed configured by the system and the residence time ratio. The cells for which the delivery order does not need to be uniformly set are scheduled by the courier himself.
After determining the delivery sequence of each cell and the residence time of the delivery company in each cell, the delivery sequence of each cell and the residence time of the delivery company in each cell may be synchronized to the APPs of the delivery companies so that the courier determines the delivery route. Through APP, the delivery of the point to the point at a specific cell gate can be known. As a result of the calculated data, the express companies are consistent data.
For example: each express company APP synchronously notifies a corresponding delivery object (WeChat or short message) in advance: your express will arrive at the gate of the cell within the time range XX-XX, and you will go to the gate to collect your packages during this time.
In order to ensure that different express companies deliver orders to be delivered in the same time period, the courier of each cell in charge of each express company can be determined firstly; if the current time is within the residence time range of the cell, acquiring the position information of the courier; and if the position information of the courier is not located at the cell, sending violation information to a first terminal of the courier.
For example: the specific residence time of the cell in which the first terminal APP of each courier receives is accurate to minutes, such as 10-11 points of the XX cell and 11-12 points of the YY cell, each courier cannot leave in advance, and if the couriers leave in advance, the GPS positioning track of the first terminal APP prompts violation of the courier and the courier deducts the score. Therefore, when the distribution objects take a plurality of express companies, as long as the distribution objects go downstairs in the prompted time period, all the couriers are located, and the distribution objects can take or deliver goods in a unified mode.
FIG. 4 is a block diagram of an order delivery apparatus according to an embodiment of the present invention, and referring to FIG. 4, the order delivery apparatus 400 may include the following blocks:
an obtaining module 401, configured to obtain address data of an order to be delivered within a preset delivery range of a specified delivery node by at least one express company;
a set module 402, configured to form an order set from orders to be delivered belonging to the same delivery object according to the obtained address data;
a determining module 403, configured to determine a delivery plan according to the order set.
Optionally, the aggregation module 402 is further configured to:
determining the region codes of the distribution regions in the preset distribution range of the specified distribution nodes according to the acquired address data and the corresponding relation between the distribution regions corresponding to the specified distribution nodes and the region codes of the address data; the address data corresponds to a plurality of distribution nodes, each distribution node is provided with at least one distribution area, the distribution areas are correspondingly provided with unique area codes, and the area codes refer to code information for distinguishing the distribution areas;
confirming the distribution objects with consistent area codes and consistent address data of the distribution areas as the same distribution object, or confirming the distribution objects with consistent area codes and consistent identification codes of the distribution areas as the same distribution object, and forming order sets of orders to be distributed belonging to the same distribution object; the identification code is identification information for distinguishing the distribution object.
Optionally, the aggregation module 402 is further configured to:
matching a distribution area corresponding to the address data according to the acquired address data in a fuzzy manner;
and determining the area code of the distribution area according to the corresponding relation between the distribution area and the area code.
Optionally, the delivery plan includes at least: the method comprises the steps of distributing the distribution sequence of distribution areas within the preset distribution range of a specified distribution node and/or the residence time of the express delivery company in the distribution areas.
Optionally, when the delivery plan includes: when the delivery order of the delivery areas within the preset delivery range of the delivery node is specified, the determining module 403 is further configured to:
determining the maximum value of the number of express companies of the order set in the distribution area within a preset distribution range of a specified distribution node;
and determining the distribution sequence of the distribution area according to the maximum value of the number of the express companies of the order set in the distribution area.
Optionally, the determining module 403 is further configured to:
if the maximum value of the number of the express companies of the order set in different distribution areas is different, determining the distribution sequence of the distribution areas by taking the strategy that the distribution is carried out earlier when the maximum value of the number of the express companies of the order set in the distribution areas is larger.
Optionally, the determining module 403 is further configured to:
if the maximum value of the number of the express companies of the order sets in different distribution areas is larger than 1 and the maximum value of the number of the express companies of the order sets in different distribution areas is the same, determining the total number of orders to be distributed in the distribution areas within preset time;
and determining the distribution sequence of the distribution areas by taking the strategy that the more orders to be distributed in the distribution areas are, the earlier the orders are distributed.
Optionally, when the delivery plan includes: the determining module 403 is further configured to, when the courier company stays in the delivery area:
determining the total amount of orders to be distributed in the distribution area within preset time;
and determining the residence time of the express company in the delivery area according to the total amount of the orders to be delivered in the delivery area within the preset time.
Optionally, the order distribution device 400 further includes:
the system comprises a first acquisition module, a second acquisition module and a first display module, wherein the first acquisition module is used for acquiring the position information of a first terminal of a courier responsible for the distribution of a distribution area if the current time is within the stop time range of the distribution area;
a first sending module, configured to send violation information to the first terminal if the location information of the first terminal is not located in the distribution area.
Optionally, the order distribution device 400 further includes:
a receiving module, configured to receive registration information sent by a first terminal of a courier, where the registration information at least includes: the city, the distribution area of the distribution node and the site position of the distribution node are responsible for;
and the first determining module is used for determining the site of the distribution node to which the courier belongs according to the registration information.
Optionally, the order distribution device 400 further includes:
the second determining module is used for determining a first terminal of a courier corresponding to an order to be delivered of the order set;
and the second sending module is used for sending the delivery plan to the first terminal.
Optionally, the order distribution device 400 further includes:
the third determining module is used for determining the delivery time of the order to be delivered according to the delivery plan;
and the third sending module is used for sending the distribution time to the second terminal of the distribution object of the order to be distributed according to the distribution time of the order to be distributed.
Optionally, the designated distribution node is a cell.
In the embodiment of the present invention, an order set is formed by an aggregation module 402 according to address data of an order to be delivered of at least one express company in a preset delivery range of a specified delivery node, and then a delivery plan is made by a determination module 403 according to the order set. Therefore, when the orders to be distributed of the same distribution object are distributed by a plurality of express companies respectively, the distribution plan can ensure that the plurality of express companies distribute the orders to be distributed of the same distribution object simultaneously.
Fig. 5 illustrates an exemplary system architecture 500 of an order delivery method or an order delivery apparatus to which embodiments of the present invention may be applied.
As shown in fig. 5, the system architecture 500 may include terminal devices 501, 502, 503, a network 504, and a server 505. The network 504 serves to provide a medium for communication links between the terminal devices 501, 502, 503 and the server 505. Network 504 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 devices 501, 502, 503 to interact with a server 505 over a network 504 to receive or send messages or the like. The terminal devices 501, 502, 503 may have installed thereon various communication client applications, such as shopping-like applications, web browser applications, search-like applications, instant messaging tools, mailbox clients, social platform software, etc. (by way of example only).
The terminal devices 501, 502, 503 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 505 may be a server providing various services, such as a background management server (for example only) providing support for shopping websites browsed by users using the terminal devices 501, 502, 503. The backend management server may analyze and perform other processing on the received data such as the product information query request, and feed back a processing result (for example, target push information, product information — just an example) to the terminal device.
It should be noted that the order distribution method provided by the embodiment of the present invention is generally executed by the server 505, and accordingly, the order distribution apparatus is generally disposed in the server 505.
It should be understood that the number of terminal devices, networks, and servers in fig. 5 is merely illustrative. There may be any number of terminal devices, networks, and servers, as desired for implementation.
Referring now to FIG. 6, a block diagram of a computer system 600 suitable for use with a terminal device implementing an embodiment of the invention is shown. The terminal device shown in fig. 6 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. 6, the computer system 600 includes a Central Processing Unit (CPU)601 that can perform various appropriate actions and processes according to a program stored in a Read Only Memory (ROM)602 or a program loaded from a storage section 608 into a Random Access Memory (RAM) 603. In the RAM 603, various programs and data necessary for the operation of the system 600 are also stored. The CPU 601, ROM 602, and RAM 603 are connected to each other via a bus 604. An input/output (I/O) interface 605 is also connected to bus 604.
The following components are connected to the I/O interface 605: an input portion 606 including a keyboard, a mouse, and the like; an output portion 607 including a display such as a Cathode Ray Tube (CRT), a Liquid Crystal Display (LCD), and the like, and a speaker; a storage section 608 including a hard disk and the like; and a communication section 609 including a network interface card such as a LAN card, a modem, or the like. The communication section 609 performs communication processing via a network such as the internet. The driver 610 is also connected to the I/O interface 605 as needed. A removable medium 611 such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, or the like is mounted on the drive 610 as necessary, so that a computer program read out therefrom is mounted in the storage section 608 as necessary.
In particular, according to the embodiments of the present disclosure, the processes described above with reference to the flowcharts may be implemented as computer software programs. For example, embodiments of the present disclosure include a computer program product comprising a computer program embodied on a computer readable medium, the computer program comprising program code for performing the method illustrated in the flow chart. In such an embodiment, the computer program may be downloaded and installed from a network through the communication section 609, and/or installed from the removable medium 611. The computer program performs the above-described functions defined in the system of the present invention when executed by the Central Processing Unit (CPU) 601.
It should be noted that the computer readable medium shown in the present invention can be a computer readable signal medium or a computer readable storage medium or any combination of the two. A computer readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples of the computer readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the present invention, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. In the present invention, however, a computer readable signal medium may include a propagated data signal with computer readable program code embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated data signal may take many forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to: wireless, wire, fiber optic cable, RF, etc., or any suitable combination of the foregoing.
The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present invention. In this regard, each block in the flowchart or block diagrams may represent a 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.
As another aspect, the present invention also provides a computer-readable medium that may be contained in the apparatus described in the above embodiments; or may be separate and not incorporated into the device. The computer readable medium carries one or more programs which, when executed by a device, cause the device to comprise: acquiring address data of orders to be delivered of at least one express company in a preset delivery range of a specified delivery node; forming an order set by orders to be distributed belonging to the same distribution object according to the acquired address data; and determining a delivery plan according to the order set.
In the embodiment of the invention, firstly, according to the acquired address data of the orders to be delivered of at least one express company in the preset delivery range of the appointed delivery node, the orders to be delivered belonging to the same delivery object form an order set, and then a delivery plan is made uniformly according to the order set. Therefore, when the orders to be distributed of the same distribution object are distributed by a plurality of express companies respectively, the distribution plan can ensure that the plurality of express companies distribute the orders to be distributed of the same distribution object simultaneously.
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 (16)

1. An order distribution method, comprising:
acquiring address data of orders to be delivered of at least one express company in a preset delivery range of a specified delivery node;
forming an order set by orders to be distributed belonging to the same distribution object according to the acquired address data;
and determining a delivery plan according to the order set.
2. The method according to claim 1, wherein the forming an order set of orders to be delivered belonging to the same delivery object according to the acquired address data comprises:
determining the region codes of the distribution regions in the preset distribution range of the specified distribution nodes according to the acquired address data and the corresponding relation between the distribution regions corresponding to the specified distribution nodes and the region codes of the address data; the address data corresponds to a plurality of distribution nodes, each distribution node is provided with at least one distribution area, the distribution areas are correspondingly provided with unique area codes, and the area codes refer to code information for distinguishing the distribution areas;
confirming the distribution objects with consistent area codes and consistent address data of the distribution areas as the same distribution object, or confirming the distribution objects with consistent area codes and consistent identification codes of the distribution areas as the same distribution object, and forming order sets of orders to be distributed belonging to the same distribution object; the identification code is identification information for distinguishing the distribution object.
3. The method according to claim 2, wherein the determining, according to the obtained address data and a correspondence between a delivery area corresponding to the address data and an area code, the area code of the delivery area within a preset delivery range of the specified delivery node includes:
matching a distribution area corresponding to the address data according to the acquired address data in a fuzzy manner;
and determining the area code of the distribution area according to the corresponding relation between the distribution area and the area code.
4. The method of claim 1, wherein the delivery plan comprises at least: the method comprises the steps of distributing the distribution sequence of distribution areas within the preset distribution range of a specified distribution node and/or the residence time of the express delivery company in the distribution areas.
5. The method of claim 4, wherein when the delivery plan comprises: when a delivery sequence of delivery areas within a preset delivery range of a delivery node is specified, determining a delivery plan according to the order set includes:
determining the maximum value of the number of express companies of the order set in the distribution area within a preset distribution range of a specified distribution node;
and determining the distribution sequence of the distribution area according to the maximum value of the number of the express companies of the order set in the distribution area.
6. The method of claim 5, wherein determining the delivery order for the delivery area based on the maximum number of carriers for the order set in the delivery area comprises:
if the maximum value of the number of the express companies of the order set in different distribution areas is different, determining the distribution sequence of the distribution areas by taking the strategy that the distribution is carried out earlier when the maximum value of the number of the express companies of the order set in the distribution areas is larger.
7. The method of claim 5, wherein determining the delivery order for the delivery areas based on a maximum number of courier companies for the order set in the delivery areas comprises:
if the maximum value of the number of the express companies of the order sets in different distribution areas is larger than 1 and the maximum value of the number of the express companies of the order sets in different distribution areas is the same, determining the total number of orders to be distributed in the distribution areas within preset time;
and determining the distribution sequence of the distribution areas by taking the strategy that the more orders to be distributed in the distribution areas are, the earlier the orders are distributed.
8. The method of claim 4 or 5, wherein when the delivery plan comprises: when the express company stays in the delivery area for a certain time, determining a delivery plan according to the order set includes:
determining the total amount of orders to be distributed in the distribution area within preset time;
and determining the residence time of the express company in the delivery area according to the total amount of the orders to be delivered in the delivery area within the preset time.
9. The method of claim 4, further comprising:
if the current time is within the residence time range of the distribution area, acquiring the position information of a first terminal of a courier responsible for distribution of the distribution area;
and if the position information of the first terminal is not in the distribution area, sending violation information to the first terminal.
10. The method of claim 1, further comprising:
receiving registration information sent by a first terminal of a courier, wherein the registration information at least comprises: the city, the distribution area of the distribution node and the site position of the distribution node are responsible for;
and determining the site of the delivery node to which the courier belongs according to the registration information.
11. The method of claim 1, further comprising:
determining a first terminal of a courier corresponding to an order to be delivered of the order set;
and sending a delivery plan to the first terminal.
12. The method of claim 1, further comprising:
determining the delivery time of the order to be delivered according to the delivery plan;
and sending the distribution time to a second terminal of a distribution object of the order to be distributed according to the distribution time of the order to be distributed.
13. The method of claim 1, wherein the designated distribution node is a cell.
14. A dispensing device for ordered items, comprising:
the system comprises an acquisition module, a distribution module and a distribution module, wherein the acquisition module is used for acquiring address data of an order to be distributed of at least one express company in a preset distribution range of a specified distribution node;
the collection module is used for forming an order collection for the orders to be distributed belonging to the same distribution object according to the acquired address data;
and the determining module is used for determining a delivery plan according to the order set.
15. 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 1-13.
16. A computer-readable medium, on which a computer program is stored, which, when being executed by a processor, carries out the method according to any one of claims 1-13.
CN202011139661.4A 2020-10-22 2020-10-22 Order distribution method and device Active CN113762674B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202011139661.4A CN113762674B (en) 2020-10-22 2020-10-22 Order distribution method and device

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202011139661.4A CN113762674B (en) 2020-10-22 2020-10-22 Order distribution method and device

Publications (2)

Publication Number Publication Date
CN113762674A true CN113762674A (en) 2021-12-07
CN113762674B CN113762674B (en) 2023-11-07

Family

ID=78785907

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202011139661.4A Active CN113762674B (en) 2020-10-22 2020-10-22 Order distribution method and device

Country Status (1)

Country Link
CN (1) CN113762674B (en)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN116029641A (en) * 2023-03-30 2023-04-28 浙江工业大学 Method for generating and optimizing secondary distribution path of finished oil based on hyper-heuristic algorithm

Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN105447667A (en) * 2015-11-17 2016-03-30 成都信息工程大学 Automatic distribution method of express delivery orders
CN108074164A (en) * 2017-06-14 2018-05-25 北京小度信息科技有限公司 Order processing method and apparatus
US20180225627A1 (en) * 2017-02-07 2018-08-09 Alibaba Group Holding Limited Express package delivery
CN108908339A (en) * 2018-08-02 2018-11-30 常州大学 A kind of merchandising machine people's system for region distribution
WO2019000785A1 (en) * 2017-06-27 2019-01-03 北京小度信息科技有限公司 Order allocation method and device
CN109472524A (en) * 2017-09-08 2019-03-15 北京京东尚科信息技术有限公司 Information processing method and device
CN109685589A (en) * 2017-10-18 2019-04-26 北京京东尚科信息技术有限公司 Method and apparatus for pushed information
US20200111051A1 (en) * 2017-05-25 2020-04-09 Beijing Xiaodu Information Technology Co., Ltd. Order allocation method and device, electronic apparatus, and computer readable storage medium

Patent Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN105447667A (en) * 2015-11-17 2016-03-30 成都信息工程大学 Automatic distribution method of express delivery orders
US20180225627A1 (en) * 2017-02-07 2018-08-09 Alibaba Group Holding Limited Express package delivery
US20200111051A1 (en) * 2017-05-25 2020-04-09 Beijing Xiaodu Information Technology Co., Ltd. Order allocation method and device, electronic apparatus, and computer readable storage medium
CN108074164A (en) * 2017-06-14 2018-05-25 北京小度信息科技有限公司 Order processing method and apparatus
WO2019000785A1 (en) * 2017-06-27 2019-01-03 北京小度信息科技有限公司 Order allocation method and device
CN109472524A (en) * 2017-09-08 2019-03-15 北京京东尚科信息技术有限公司 Information processing method and device
CN109685589A (en) * 2017-10-18 2019-04-26 北京京东尚科信息技术有限公司 Method and apparatus for pushed information
CN108908339A (en) * 2018-08-02 2018-11-30 常州大学 A kind of merchandising machine people's system for region distribution

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
YUN ZHANG: "The application of artificial intelligence in logistics and express delivery", 《JOURNAL OF PHYSICS: CONFERENCE SERIES》, vol. 1325, pages 1 - 6 *
王本丞 等: "基于订单整合的即时物流配送"打包"算法研究", 《信息与电脑(理论版)》, vol. 32, no. 6, pages 69 - 72 *

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN116029641A (en) * 2023-03-30 2023-04-28 浙江工业大学 Method for generating and optimizing secondary distribution path of finished oil based on hyper-heuristic algorithm

Also Published As

Publication number Publication date
CN113762674B (en) 2023-11-07

Similar Documents

Publication Publication Date Title
US20200286039A1 (en) Information generation method and apparatus
CN107845012B (en) Order processing method and device
CN110826831A (en) Method and device for restocking a picking zone of a warehouse
CN110858347A (en) Method and device for logistics distribution and order distribution
CN110648089A (en) Method and device for determining delivery timeliness of articles
CN111222960A (en) Room source recommendation method and system based on public traffic zone
CN111461383A (en) Method and device for planning distribution path
CN110889656A (en) Warehouse rule configuration method and device
CN110930080A (en) Logistics distribution method and device
CN109934427B (en) Method and device for generating item distribution scheme
CN110766348A (en) Method and device for combining picking tasks
CN107704357B (en) Log generation method and device
CN109902847B (en) Method and device for predicting amount of orders in branch warehouse
CN107844932B (en) Order processing method and device
CN108985805B (en) Method and device for selectively executing push task
CN113762674B (en) Order distribution method and device
CN107085754B (en) Information output method and device
CN113590756A (en) Information sequence generation method and device, terminal equipment and computer readable medium
CN113780915A (en) Service docking method and device
CN110766431A (en) Method and device for judging whether user is sensitive to coupon
CN115099865A (en) Data processing method and device
CN114202210A (en) Task allocation method and device
CN114418482A (en) Order information processing method and device, electronic equipment and computer readable medium
CN113780923A (en) Method and device for sending piece, electronic equipment and medium
CN113822516A (en) Matching method and device for distribution and transportation side

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant