CN111652440A - Logistics node cargo quantity information management method and device - Google Patents
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Abstract
The invention discloses a method and a device for managing cargo volume information of logistics nodes, relates to the technical field of logistics information, and can perform statistical analysis on detailed information of the daily cargo volume of each logistics node so as to reasonably allocate unloading resources or loading resources of each logistics node in advance, thereby reducing the logistics cost while ensuring the logistics transfer efficiency. The method comprises the following steps: combing the freight note numbers which are not delivered completely in the whole network and obtaining logistics node information of each freight note number flow, wherein the logistics node information comprises at least one logistics node and sending time estimated from the logistics node; and obtaining the goods traffic volume of each logistics node in the rest statistical time period and the total goods traffic volume in the statistical time period based on the inventory waybill number of each logistics node at the current moment, the waybill number to be warehoused in the statistical time period and the waybill number to be issued in the statistical time period. The device is applied with the method provided by the scheme.
Description
Technical Field
The invention relates to the technical field of logistics information, in particular to a goods quantity information management method and device for logistics nodes.
Background
The existing logistics node only collects and reports the inventory quantity of the current node, but cannot collect and report the non-inventory quantity of the current logistics node, such as: the goods quantity on the way to arrive at the station, the goods quantity sent out from the warehouse, the goods quantity to be sent out from the warehouse and the like are subjected to detailed statistics, so that the information of the goods quantity of each logistics node cannot be analyzed and predicted, the phenomenon that the preparation of each logistics node is insufficient or excessive is often caused on the allocation of unloading resources or loading resources, the logistics transfer efficiency is influenced, and the logistics cost is increased.
Disclosure of Invention
The invention aims to provide a method and a device for managing the cargo volume information of logistics nodes, which can perform statistical analysis on detailed information of the daily cargo volume of each logistics node so as to reasonably allocate unloading resources or loading resources of each logistics node in advance, thereby reducing the logistics cost while ensuring the logistics transfer efficiency.
In order to achieve the above object, an aspect of the present invention provides a method for managing cargo volume information of a logistics node, including:
combing the freight note numbers which are not delivered completely in the whole network and obtaining logistics node information of each freight note number flow, wherein the logistics node information comprises at least one logistics node and sending time estimated from the logistics node;
and obtaining the goods traffic volume of each logistics node in the rest statistical time period and the total goods traffic volume in the statistical time period based on the inventory waybill number of each logistics node at the current moment, the waybill number to be warehoused in the statistical time period and the waybill number to be issued in the statistical time period.
Illustratively, the statistical period is a period from the time of the previous day T to the time of the day T.
Preferably, the incoming order number includes the order number that arrived at the logistics node but was not unloaded, and the incoming order number from the previous logistics node.
Preferably, the forthcoming invoice numbers include the invoice numbers which have been ex-warehouse from the logistics node and sent to the next logistics node, and the invoice numbers which have been ex-warehouse from the logistics node but not sent.
Preferably, the system further comprises the invoice number which is not sent by the previous logistics node and the invoice number which is not put in the previous logistics node.
Preferably, the method for obtaining the freight transportation volume of each logistics node in the remaining statistical time period based on the inventory invoice number of each logistics node at the current time, the invoice number to be warehoused in the statistical time period, and the invoice number to be issued in the statistical time period includes:
s1, counting the number A of the inventory waybill numbers with the estimated sending time before the time T of the day in real time in the logistics nodes to be calculated;
s2, counting the number B of the waybill numbers of which the sending time is estimated to be before the time T of the day from the logistics node to be calculated based on the waybill numbers which arrive at the logistics node to be calculated at the current time but are not unloaded;
s3, counting the number C of the waybill numbers of the logistics nodes to be calculated, wherein the estimated sending time of the waybill numbers is before the time T of the day;
s4, based on the current time, the number D of the waybill numbers which are delivered from the logistics node to be calculated and sent to the next logistics node;
s5, counting the number E of the waybill numbers of which the sending time is estimated to be before the time T of the day from the logistics nodes to be calculated based on the waybill numbers which are sent out of the warehouse but are not sent out from the logistics nodes to be calculated at the current time;
s6, obtaining the goods traffic volume of the current logistics node to be calculated in the remaining statistical time period and the total goods traffic volume in the statistical time period based on the quantity A, the quantity B, the quantity C, the quantity D and the quantity E;
and S7, selecting another logistics node in the whole network as a logistics node to be calculated, and repeating the steps S1-S6 to obtain the goods traffic flow of each logistics node in the remaining statistical time period and the total goods traffic flow in the statistical time period.
Illustratively, the method for acquiring the logistics node information of each waybill number flow comprises the following steps:
and acquiring the logistics node of each freight note number flow and the estimated sending time from the logistics node from a big data system of the logistics platform.
Preferably, after obtaining the freight diversion amount of each logistics node in the remaining statistical time period, the method further comprises:
displaying the estimated goods traffic volume of each logistics node of the whole network in the remaining statistical time period and the goods traffic volume in the statistical time period in real time; alternatively, the first and second electrodes may be,
and displaying the estimated goods traffic volume of the appointed logistics node in the residual statistical time period and the goods traffic volume in the statistical time period in real time.
Compared with the prior art, the goods quantity information management method of the logistics node provided by the invention has the following beneficial effects:
the method for managing the cargo volume information of the logistics nodes comprises the steps of firstly combing the freight note numbers in the non-distribution completion state in the whole network, obtaining all the logistics nodes where each freight note number circulates and the sending time estimated from each logistics node, and then obtaining the cargo volume of each logistics node in the rest statistics period and the total cargo volume of each logistics node in the statistics period based on the stock freight note number of each logistics node at the current moment, the freight note number to be put in a warehouse in the statistics period and the freight note number to be sent in the statistics period. Each logistics node can reasonably allocate unloading resources or loading resources according to the goods logistics volume in the remaining statistical time period in advance, and logistics transfer efficiency is guaranteed while logistics cost is reduced.
Another aspect of the present invention provides a device for managing quantity information of logistics nodes, in which the method for managing quantity information of logistics nodes mentioned in the above technical solution is applied, and the device includes:
the information acquisition unit is used for combing the freight note numbers which are not distributed in the whole network and acquiring logistics node information of each freight note number flow, wherein the logistics node information comprises at least one logistics node and sending time estimated from the logistics node;
and the data processing unit is used for obtaining the goods flow quantity of each logistics node in the rest statistical time period and the total goods flow quantity in the statistical time period based on the inventory invoice number of each logistics node at the current time, the invoice number to be warehoused in the statistical time period and the invoice number to be issued in the statistical time period.
Compared with the prior art, the beneficial effects of the cargo volume information management device for the logistics node provided by the invention are the same as the beneficial effects of the cargo volume information management method for the logistics node provided by the technical scheme, and are not repeated herein.
A third aspect of the present invention provides a computer-readable storage medium having a computer program stored thereon, where the computer program is executed by a processor to perform the steps of the cargo volume information management method for a logistics node.
Compared with the prior art, the beneficial effect of the computer-readable storage medium provided by the invention is the same as that of the logistics node cargo volume information management method provided by the technical scheme, and the detailed description is omitted here.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the invention and not to limit the invention. In the drawings:
fig. 1 is a schematic flow chart illustrating a cargo volume information management method of a logistics node according to an embodiment;
fig. 2 is a block diagram illustrating a cargo volume information management apparatus of a logistics node according to an embodiment.
Detailed Description
In order to make the aforementioned objects, features and advantages of the present invention comprehensible, embodiments accompanied with figures are described in detail below. It is to be understood that the described embodiments are merely exemplary of the invention, and not restrictive of the full scope of the invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Example one
Referring to fig. 1, the present embodiment provides a method for managing cargo volume information of a logistics node, including:
combing the freight note numbers which are not delivered completely in the whole network and obtaining logistics node information of each freight note number flow, wherein the logistics node information comprises at least one logistics node and sending time estimated from the logistics node; and obtaining the goods traffic volume of each logistics node in the rest statistical time period and the total goods traffic volume in the statistical time period based on the inventory waybill number of each logistics node at the current moment, the waybill number to be warehoused in the statistical time period and the waybill number to be issued in the statistical time period.
The method for managing the cargo volume information of the logistics nodes provided by this embodiment includes first combing the invoice numbers in the non-delivery complete state in the whole network and obtaining all the logistics nodes where each invoice number circulates and the estimated sending time from each logistics node, and then obtaining the cargo volume of each logistics node in the remaining statistical time period and the total cargo volume of each logistics node in the statistical time period based on the inventory invoice number of each logistics node at the current time, the invoice number to be put in storage in the statistical time period, and the invoice number to be sent in the statistical time period. Each logistics node can reasonably allocate unloading resources or loading resources according to the goods logistics volume in the remaining statistical time period in advance, and logistics transfer efficiency is guaranteed while logistics cost is reduced.
In a specific implementation, the statistical time period is a time period from a time T of a previous day to a time T of the day, for example, from six pm of the previous day to six pm of the day is a statistical time period.
It should be noted that the incoming invoice number includes the invoice number that arrived at the logistics node but did not unload, and the incoming invoice number from the previous logistics node. The forthcoming invoice numbers include the invoice numbers which are ex-warehouse from the logistics node and have been sent to the next logistics node, and the invoice numbers which are ex-warehouse from the logistics node but are not sent. And besides the freight note number to be put in storage and the freight note number to be sent out, the freight note number which is not sent out by the previous logistics node and the freight note number which is not put in storage by the previous logistics node are also included.
In the above embodiment, the method for obtaining the freight transportation volume of each logistics node in the remaining statistical time period based on the inventory invoice number of each logistics node at the current time, the invoice number to be warehoused in the statistical time period, and the invoice number to be issued in the statistical time period includes:
s1, counting the number A of the inventory waybill numbers with the estimated sending time before the time T of the day in real time in the logistics nodes to be calculated;
s2, counting the number B of the waybill numbers of which the sending time is estimated to be before the time T of the day from the logistics node to be calculated based on the waybill numbers which arrive at the logistics node to be calculated at the current time but are not unloaded;
s3, counting the number C of the waybill numbers of the logistics nodes to be calculated, wherein the estimated sending time of the waybill numbers is before the time T of the day;
s4, based on the current time, the number D of the waybill numbers which are delivered from the logistics node to be calculated and sent to the next logistics node;
s5, counting the number E of the waybill numbers of which the sending time is estimated to be before the time T of the day from the logistics nodes to be calculated based on the waybill numbers which are sent out of the warehouse but are not sent out from the logistics nodes to be calculated at the current time;
s6, obtaining the goods traffic volume of the current logistics node to be calculated in the remaining statistical time period and the total goods traffic volume in the statistical time period based on the quantity A, the quantity B, the quantity C, the quantity D and the quantity E;
and S7, selecting another logistics node in the whole network as a logistics node to be calculated, and repeating the steps S1-S6 to obtain the goods traffic flow of each logistics node in the remaining statistical time period and the total goods traffic flow in the statistical time period.
In the concrete implementation, the logistics nodes of each waybill number circulation and the corresponding sending time estimated from each logistics node can be combed through carrying out statistical analysis on waybill numbers which are not delivered in the whole network, then one logistics node is selected from the whole network as a logistics node to be calculated to calculate the stock waybill number A of the logistics node to be calculated, the number B of waybill numbers which are not unloaded when the logistics node to be calculated arrives but are estimated to be sent out from the logistics node to be calculated before the time T of the day, the number C of waybill numbers which are transported from the previous logistics node to the logistics node to be calculated and are estimated to be sent out from the logistics node to be calculated before the time T of the day, and the number D of waybill numbers which are delivered out from the logistics node to be calculated and are sent to the next logistics node are counted, and counting the number E of the waybill numbers which are in the current state and are not sent out of the warehouse of the logistics node to be calculated, but the number E of the waybill numbers of which the sending time is before the time T of the day is estimated from the logistics node to be calculated, accumulating the number A, the number B, the number C, the number D and the number E to obtain the total goods traffic volume in the counting time period, and accumulating the number A, the number B, the number C, the number D and the number E to obtain the goods traffic volume in the rest counting time period. And by analogy, selecting another logistics node in the whole network as a logistics node to be calculated, and repeating the steps to obtain the goods traffic of each logistics node in the whole network in the rest statistical time period and the total goods traffic in the statistical time period.
It can be understood that, the method for acquiring the logistics node information of each waybill number flow comprises the following steps:
and acquiring the logistics node of each freight note number flow and the estimated sending time from the logistics node from a big data system of the logistics platform.
Preferably, after obtaining the freight diversion amount of each logistics node in the remaining statistical time period in the above embodiment, the method further includes:
displaying the estimated goods traffic volume of each logistics node of the whole network in the remaining statistical time period and the goods traffic volume in the statistical time period in real time; or displaying the estimated goods traffic volume of the appointed logistics node in the residual statistical time period and the goods traffic volume in the statistical time period in real time.
Through real-time large-screen display, a manager can acquire the goods circulation data of each logistics node in real time, and then the manager can conveniently make reasonable and effective resource allocation.
Example two
Referring to fig. 2, the present embodiment provides a cargo volume information management device for logistics nodes, including:
the information acquisition unit is used for combing the freight note numbers which are not distributed in the whole network and acquiring logistics node information of each freight note number flow, wherein the logistics node information comprises at least one logistics node and sending time estimated from the logistics node;
and the data processing unit is used for obtaining the goods flow quantity of each logistics node in the rest statistical time period and the total goods flow quantity in the statistical time period based on the inventory invoice number of each logistics node at the current time, the invoice number to be warehoused in the statistical time period and the invoice number to be issued in the statistical time period.
Compared with the prior art, the beneficial effects of the cargo volume information management device for logistics nodes provided by the embodiment are the same as the beneficial effects of the cargo volume information management method for logistics nodes provided by the above embodiment, and are not repeated herein.
EXAMPLE III
The present embodiment provides a computer-readable storage medium, on which a computer program is stored, and when the computer program is executed by a processor, the steps of the cargo volume information management method for logistics nodes are executed.
Compared with the prior art, the beneficial effect of the computer-readable storage medium provided by this embodiment is the same as that of the method for managing the cargo volume information of the logistics node provided by the above technical solution, and details are not repeated here.
It will be understood by those skilled in the art that all or part of the steps in the method for implementing the invention may be implemented by hardware that is instructed to be associated with a program, the program may be stored in a computer-readable storage medium, and when the program is executed, the program includes the steps of the method of the embodiment, and the storage medium may be: ROM/RAM, magnetic disks, optical disks, memory cards, and the like.
The above description is only for the specific embodiments of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art can easily conceive of the changes or substitutions within the technical scope of the present invention, and the changes or substitutions should be covered within the scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the appended claims.
Claims (10)
1. A method for managing cargo quantity information of logistics nodes is characterized by comprising the following steps:
combing the freight note numbers which are not delivered completely in the whole network and obtaining logistics node information of each freight note number flow, wherein the logistics node information comprises at least one logistics node and sending time estimated from the logistics node;
and obtaining the goods traffic volume of each logistics node in the rest statistical time period and the total goods traffic volume in the statistical time period based on the inventory waybill number of each logistics node at the current moment, the waybill number to be warehoused in the statistical time period and the waybill number to be issued in the statistical time period.
2. The method of claim 1, wherein the statistical time interval is a time interval from the previous day T to the current day T.
3. The method of claim 2, wherein the incoming order number includes an order number that arrived at the logistics node but was not unloaded, and an in-transit order number that came from a previous logistics node.
4. The method of claim 2, wherein the upcoming invoice number comprises the invoice number ex-warehouse from the logistics node and sent to the next logistics node, and the invoice number ex-warehouse from the logistics node but not sent.
5. The method of claim 2, further comprising the invoice number not issued by the previous logistics node and the invoice number not warehoused by the previous logistics node.
6. The method according to any one of claims 3 to 5, wherein the method for obtaining the freight transportation amount of each logistics node in the remaining statistical time period based on the inventory invoice number of each logistics node at the current time, the invoice number to be warehoused in the statistical time period and the invoice number to be issued in the statistical time period comprises the following steps:
s1, counting the number A of the inventory waybill numbers with the estimated sending time before the time T of the day in real time in the logistics nodes to be calculated;
s2, counting the number B of the waybill numbers of which the sending time is estimated to be before the time T of the day from the logistics node to be calculated based on the waybill numbers which arrive at the logistics node to be calculated at the current time but are not unloaded;
s3, counting the number C of the waybill numbers of the logistics nodes to be calculated, wherein the estimated sending time of the waybill numbers is before the time T of the day;
s4, based on the current time, the number D of the waybill numbers which are delivered from the logistics node to be calculated and sent to the next logistics node;
s5, counting the number E of the waybill numbers of which the sending time is estimated to be before the time T of the day from the logistics nodes to be calculated based on the waybill numbers which are sent out of the warehouse but are not sent out from the logistics nodes to be calculated at the current time;
s6, obtaining the goods traffic volume of the current logistics node to be calculated in the remaining statistical time period and the total goods traffic volume in the statistical time period based on the quantity A, the quantity B, the quantity C, the quantity D and the quantity E;
and S7, selecting another logistics node in the whole network as a logistics node to be calculated, and repeating the steps S1-S6 to obtain the goods traffic flow of each logistics node in the remaining statistical time period and the total goods traffic flow in the statistical time period.
7. The method of claim 1, wherein the method for acquiring the logistics node information of each waybill number flow comprises the following steps:
and acquiring the logistics node of each freight note number flow and the estimated sending time from the logistics node from a big data system of the logistics platform.
8. The method of claim 1, further comprising, after obtaining the freight traffic volume of each logistics node for the remaining statistical period of time:
displaying the estimated goods traffic volume of each logistics node of the whole network in the remaining statistical time period and the goods traffic volume in the statistical time period in real time; alternatively, the first and second electrodes may be,
and displaying the estimated goods traffic volume of the appointed logistics node in the residual statistical time period and the goods traffic volume in the statistical time period in real time.
9. A cargo quantity information management device for a logistics node is characterized by comprising:
the information acquisition unit is used for combing the freight note numbers which are not distributed in the whole network and acquiring logistics node information of each freight note number flow, wherein the logistics node information comprises at least one logistics node and sending time estimated from the logistics node;
and the data processing unit is used for obtaining the goods flow quantity of each logistics node in the rest statistical time period and the total goods flow quantity in the statistical time period based on the inventory invoice number of each logistics node at the current time, the invoice number to be warehoused in the statistical time period and the invoice number to be issued in the statistical time period.
10. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the steps of the method according to any one of the claims 1 to 8.
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| CN115713280A (en) * | 2023-01-05 | 2023-02-24 | 翌飞锐特电子商务(北京)有限公司 | Logistics freight order coordination system and method |
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| CN110348612A (en) * | 2019-06-24 | 2019-10-18 | 深圳市恒路物流股份有限公司 | Distribution Center goods amount prediction technique and device |
| CN110765340A (en) * | 2019-10-21 | 2020-02-07 | 徐州工业职业技术学院 | Logistics information management system and method |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN114841406A (en) * | 2022-03-28 | 2022-08-02 | 深圳市跨越新科技有限公司 | Logistics trunk network planning method, device, equipment and storage medium |
| CN115713280A (en) * | 2023-01-05 | 2023-02-24 | 翌飞锐特电子商务(北京)有限公司 | Logistics freight order coordination system and method |
| CN115713280B (en) * | 2023-01-05 | 2023-06-23 | 翌飞锐特电子商务(北京)有限公司 | Logistics freight order cooperation system and method |
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