KR-20260066547-A - Method and apparatus for optimizing delivery conditions

KR20260066547AKR 20260066547 AKR20260066547 AKR 20260066547AKR-20260066547-A

Abstract

The present invention provides a method for optimizing delivery conditions on a delivery route, comprising: a first step of obtaining first information regarding a delivery result using a BCR camera for an item delivered on a delivery route based on pre-set delivery conditions including information on an invoice and a barcode attached to an item; a step of modifying the delivery conditions based on the information regarding the delivery result; a second step of obtaining second information regarding a delivery result using a BCR camera for an item delivered on a delivery route based on the modified delivery conditions; and a step of determining delivery conditions by comparing the first information and the second information of the first step and the second step.

Inventors

이종서

Assignees

한화비전 주식회사

Dates

Publication Date: 20260512
Application Date: 20241104

Claims (11)

In a method for optimizing delivery conditions on the delivery route, A first step of obtaining first information regarding a delivery result using a BCR camera for an item delivered on a delivery route based on preset delivery conditions including information on an invoice and barcode attached to the item; A step of modifying the delivery conditions based on information regarding the delivery results above; A second step of obtaining second information regarding delivery results using a BCR camera for goods delivered on a delivery route based on modified delivery conditions; and A step of determining delivery conditions by comparing the first information and the second information of the first step and the second step; A delivery condition optimization method including
In Article 1, The step of modifying the above delivery conditions is, A step of setting a first delivery condition including a preset weight, volume, barcode location, contents, packaging condition, logo, text, or handling mark of an item; and A method for optimizing delivery conditions, comprising the step of changing the first delivery condition according to a second delivery condition including preset climate, time, or seasonal conditions.
In Article 2, The above second step comprises the step of delivering a preset number of test items on a delivery route based on modified delivery conditions and obtaining second information regarding delivery results, including events and images occurring on the delivery route, in a method for optimizing delivery conditions.
In Paragraph 3, The step of determining the above delivery conditions is, A step of classifying the second information based on preset classification conditions; and A delivery condition optimization method comprising the step of determining delivery optimization conditions based on the classified second information.
In Paragraph 4, A method for optimizing delivery conditions, wherein the step of determining the delivery optimization conditions includes changing the delivery conditions corresponding to the classified second information to deliver a preset number of test items on the delivery path and obtaining third information regarding the delivery results.
In Article 5, A method for optimizing delivery conditions, wherein the step of obtaining the above-mentioned third information includes the step of measuring improvement effect information including delivery time, delivery accuracy, or delivery cost.
In a device for optimizing delivery conditions on a delivery route, Includes a processor, The above processor is a delivery condition optimization device that obtains first information regarding a delivery result using a BCR camera for an item delivered on a delivery path based on preset delivery conditions including information on an invoice and a barcode attached to an item, modifies the delivery conditions based on the information regarding the delivery result, obtains second information regarding a delivery result using a BCR camera for an item delivered on a delivery path based on the modified delivery conditions, and determines a delivery condition by comparing the first information and the second information.
In Article 7, The above processor is a delivery condition optimization device that sets a first delivery condition including a preset weight, volume, barcode location, contents, packaging condition, logo, text, or handling mark of an item, and changes the first delivery condition according to a second delivery condition including a preset climate, time, or seasonal condition.
In Article 8, The above processor is a delivery condition optimization device that delivers a preset number of test items on a delivery path based on modified delivery conditions and obtains second information regarding delivery results, including events and images occurring on the delivery path.
In Article 9, The above processor is a delivery condition optimization device that classifies the second information based on preset classification conditions and determines delivery optimization conditions based on the classified second information.
In Article 10, The above processor is a delivery condition optimization device that changes the delivery conditions corresponding to the classified second information, delivers a preset number of test items on the delivery path, and obtains third information regarding the delivery results.

Description

Method and apparatus for optimizing delivery conditions Embodiments of the present invention relate to a method and apparatus for optimizing delivery conditions. The delivery driver visits each courier handling point at a predetermined time to pick up the goods. Afterward, the delivery driver moves all picked-up shipments to the hub terminal, sorts them according to their respective destinations, and then moves them to the delivery terminals. Generally, due to factors such as the type of logistics, weight of the logistics, barcode location, traffic complexity in the delivery area, road gradient, and road conditions caused by weather, there may be a difference between the estimated delivery time and the actual delivery time from the delivery terminal to the delivery destination, and differences in delivery costs or delivery accuracy may also occur. FIGS. 1 and FIGS. 2 are drawings for explaining the configuration and operation of a delivery condition optimization system according to an embodiment of the present invention. FIGS. 3 and 4 are drawings for explaining the configuration and operation of a delivery condition optimization system according to another embodiment of the present invention. FIG. 5 is a flowchart illustrating a method for optimizing delivery conditions according to an embodiment of the present invention. The present invention is capable of various modifications and may have various embodiments; specific embodiments are illustrated in the drawings and described in detail in the detailed description. The effects and features of the present invention, and the methods for achieving them, will become clear by referring to the embodiments described below in detail together with the drawings. However, the present invention is not limited to the embodiments disclosed below but can be implemented in various forms. Hereinafter, embodiments of the present invention will be described in detail with reference to the attached drawings. When describing with reference to the drawings, identical or corresponding components are given the same reference numerals, and redundant descriptions thereof will be omitted. In the following embodiments, terms such as "first," "second," etc. are used not in a limiting sense, but for the purpose of distinguishing one component from another. Also, singular expressions include plural expressions unless the context clearly indicates otherwise. Furthermore, terms such as "include" or "have" mean that the feature or component described in the specification exists, and do not exclude the possibility that one or more other features or components may be added. In the drawings, the size of components may be exaggerated or reduced for convenience of explanation. For example, the size and thickness of each component shown in the drawings are depicted arbitrarily for convenience of explanation, so the present invention is not necessarily limited to what is illustrated. In the following embodiments, when a part such as a region, component, section, block, or module is described as being on or above another part, it includes not only cases where it is directly on top of the other part, but also cases where another region, component, section, block, or module is interposed therein. Furthermore, when a region, component, section, block, or module is described as being connected, it includes not only cases where the region, component, section, block, or module is directly connected, but also cases where other regions, components, sections, blocks, or modules are interposed therein to indirectly connect them. Hereinafter, in order to enable a person skilled in the art to easily practice the present invention, various embodiments of the present invention will be described in detail with reference to the attached drawings. FIGS. 1 and FIGS. 2 are drawings for explaining the configuration and operation of a delivery condition optimization system according to an embodiment of the present invention. Referring to FIG. 1 and FIG. 2 together, a delivery condition optimization system according to one embodiment of the present invention may include a BCR camera (100) installed on a delivery path. However, the present invention is not limited thereto, and a delivery condition optimization system according to one embodiment of the present invention may include additional components or omit some components. Some components of a delivery condition optimization system according to one embodiment of the present invention may be separated into a plurality of devices, or a plurality of components may be merged into a single device. Also, although one BCR camera (100) is shown in FIG. 1, a delivery condition optimization system according to one embodiment of the present invention may include one camera or two or more cameras. A BCR camera (100) may represent a camera device that recognizes a barcode attached to a logistics item on a conveyor. For example, the BCR camera (100) may represent a BCR (Barcode