A container operation scheduling recommendation method

Abstract

The present invention relates to the field of logistics management technology, and specifically to a container operation scheduling recommendation method, which specifically includes the following steps: obtaining market business demand data, as well as container distribution status data and business distribution status data of an enterprise; performing preliminary scheduling of containers according to the container distribution status data and business distribution status data of the enterprise, and generating corresponding preliminary container scheduling information; performing secondary scheduling of containers according to the distribution status of the containers after the preliminary scheduling and the market business demand data, and generating corresponding secondary container scheduling information; generating corresponding container scheduling recommendation information according to the preliminary container scheduling information and the secondary container scheduling information, and displaying the generated container scheduling recommendation information. The container operation scheduling recommendation method in the present invention can adapt to the enterprise itself and the market trend, so as to assist in improving the operation scheduling effect of the container.

Description

Technical Field

[0001] The present invention relates to the technical field of logistics management, and in particular to a container operation scheduling recommendation method. Background Art

[0002] In recent years, domestic and foreign trade has developed rapidly, and container multimodal transport has become an important form of transportation modernization. With the continuous increase in customer demand for container transportation, the challenges faced by container operators have become more severe. In order to gain a place in the fiercely competitive market, cost reduction and efficiency improvement have become the top priority of the container operation industry. The existing methods of reducing costs and increasing efficiency in container operations by controlling ship schedules, shipping alliances, and large-scale ships have achieved certain results, but there are also some drawbacks. A major obstacle facing multimodal transport is that the ownership of containers is different, which not only hinders the circulation and sharing of containers, but also greatly increases the costs of returning containers to different locations, dispatching empty containers, managing containers, and overdue fees.

[0003] For this reason, shared containers have emerged in the prior art, which can make full use of idle containers and greatly reduce the cost of container transportation systems. With the rapid development of technologies such as big data, the Internet of Things, and data mining, the circular sharing of containers has become possible. For example, the Chinese patent with publication number CN110135779A discloses "A container sharing method based on a platform", which establishes an Internet + container sharing platform. The Internet + container sharing platform includes a member management module, a basic business module, an evaluation management module, and an internal scheduling module; the platform encodes member containers and uniformly identifies them; both the supply and demand parties of containers publish information on the sharing platform, conduct online transactions and fund settlement; the physical flow of containers adopts a crowdsourcing model, which is completed by the sharing platform and assigned by the transportation company, thereby realizing the shared circulation of containers among different enterprises.

[0004] The container sharing method in the above-mentioned existing scheme promotes the rapid matching of container supply and demand transactions through container sharing, so as to realize the circular sharing of logistics containers within the region. However, the applicant found in the actual research process that the method of sharing containers can only control the operating costs of containers to a certain extent, but cannot truly achieve cost reduction and efficiency improvement of container operations. Because the container utilization rate of an enterprise is closely related to its business distribution, market trends and other factors, and the business distribution and market trends of an enterprise are a dynamic process, for example, they will change with the seasons, festivals and even weather, and then it is easy to have the problem of "shortage of supply" or "oversupply" of containers in a certain place, resulting in poor operation and scheduling of containers. Therefore, the applicant thought of designing a container operation and scheduling recommendation method based on the enterprise itself and market business to assist in improving the operation and scheduling effect of containers. Summary of the invention

[0005] In view of the above-mentioned deficiencies in the prior art, the technical problem to be solved by the present invention is: how to provide a container operation scheduling recommendation method that can adapt to the enterprise itself and market trends, so as to assist in improving the operation scheduling effect of the container.

[0006] In order to solve the above technical problems, the present invention adopts the following technical solutions:

[0007] A container operation scheduling recommendation method calculates and generates container scheduling recommendation information based on market business demand data, and container distribution status data and business distribution status data of an enterprise, and displays the generated container scheduling recommendation information.

[0008] Preferably, the method specifically comprises the following steps:

[0009] S1: Obtain market business demand data, as well as the enterprise's container distribution status data and business distribution status data;

[0010] S2: Perform preliminary dispatch of containers according to the container distribution status data and business distribution status data of the enterprise, and generate corresponding preliminary dispatch information of containers;

[0011] S3: Perform secondary dispatch of containers according to the distribution status of containers after the initial dispatch and the market business demand data, and generate corresponding secondary dispatch information of containers;

[0012] S4: Generate corresponding container scheduling recommendation information according to the preliminary container scheduling information and the secondary container scheduling information, and display the generated container scheduling recommendation information.

[0013] Preferably, in step S1, the container distribution status data includes the total number of containers, the location of each container and the remaining loading space of a single container.

[0014] Preferably, in step S1, the business distribution status data includes the container demand of the target business, the cargo starting position and the cargo target position.

[0015] Preferably, in step S1, the market service demand data includes the container demand quantity, cargo starting position and cargo target position of the market service.

[0016] Preferably, when performing preliminary scheduling in step S2: first, according to the starting position of the goods of the target business, a container whose position is relatively closer to the starting position of the goods is matched from all containers; then, according to the container demand of the target business, corresponding containers are selected from the matched containers in order from near to far as preliminary scheduling containers; finally, according to the position of the preliminary scheduling container and the remaining loading space, the corresponding preliminary scheduling information of the container is calculated and generated.

[0017] Preferably, if the container selected as the preliminary dispatch container has been loaded with goods and has remaining loading space, the selected preliminary dispatch container is adjusted according to the target location of the goods loaded in the container and the target location of the goods of the target business.

[0018] Preferably, the selected preliminary dispatch container is adjusted by the following steps: determining whether the distance between the target location of the loaded goods and the target location of the goods of the target business is less than a set distance threshold; if so, the container loaded with the goods is used as the preliminary dispatch container; if not, reselecting other containers as the preliminary dispatch container.

[0019] Preferably, when performing secondary scheduling in step S3: first, according to the target position of the goods in the market business, a container with the same target position of the goods and remaining loading space is matched from the containers used as the initial scheduling containers as the secondary scheduling containers; then, according to the starting position of the goods in the market business, a container whose position is relatively closer to the starting position of the goods is matched from the containers remaining after the initial scheduling, and then according to the container demand of the target business, the corresponding containers are selected from the matched containers from near to far in sequence as the secondary scheduling containers; finally, the corresponding container secondary scheduling information is calculated and generated according to the position and remaining loading space of the secondary scheduling container.

[0020] Preferably, in step S2 or S3, one of air transport, ship transport, rail transport or trailer transport is selected according to the remaining loading space of the container and the time requirement.

[0021] Compared with the prior art, the container operation scheduling recommendation method in the present invention has the following advantages:

[0022] 1. In the actual operation and scheduling process, the container scheduling recommendation information is generated by calculating the market business demand data, the enterprise's container distribution status data and the business distribution status data, and the location of the container, the enterprise's business distribution and the market business demand are all important factors affecting the container scheduling. Therefore, the operation scheduling recommendation method of the present invention can match the business needs of the enterprise's own business and the market, that is, it can adapt to the enterprise itself and the market trend, which is conducive to reducing costs and increasing efficiency of container enterprises, thereby assisting in improving the operation scheduling effect.

[0023] 2. In the present invention, preliminary scheduling and secondary scheduling are carried out respectively, and the business needs of the enterprise itself can be given priority in the preliminary scheduling, and the market business scope of the enterprise can be broadened in the secondary scheduling, so as to effectively plan and guide the container scheduling of the enterprise.

[0024] 3. In the present invention, a delivery method for two or more customers to share a container is set, and when the target location of a customer's goods is close to the target location of another customer's goods (that is, the distance is less than the distance threshold), the goods of the two customers are loaded into the same container. This can not only reduce the customer's cost to a certain extent, but also reduce the company's container dispatching costs (because the transportation cost when the container returns after delivering the goods is reduced), thereby enabling container companies to reduce costs and increase efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0025] In order to make the purpose, technical solution and advantages of the invention more clear, the present invention will be further described in detail below with reference to the accompanying drawings, in which:

[0026] Figure 1 It is a logic block diagram of the container operation scheduling recommendation method in the embodiment. DETAILED DESCRIPTION

[0027] The following is a further detailed description through specific implementation methods:

[0028] Example:

[0029] This embodiment discloses a container operation scheduling recommendation method.

[0030] A container operation scheduling recommendation method calculates and generates container scheduling recommendation information based on market business demand data, container distribution status data and business distribution status data of an enterprise, and displays the generated container scheduling recommendation information. Figure 1 As shown, the specific steps include:

[0031] S1: Obtain market business demand data, as well as the enterprise's container distribution status data and business distribution status data;

[0032] S2: Perform preliminary dispatch of containers according to the container distribution status data and business distribution status data of the enterprise, and generate corresponding preliminary dispatch information of containers;

[0033] S3: Perform secondary dispatch of containers according to the distribution status of containers after the initial dispatch and the market business demand data, and generate corresponding secondary dispatch information of containers;

[0034] S4: Generate corresponding container scheduling recommendation information according to the preliminary container scheduling information and the secondary container scheduling information, and display the generated container scheduling recommendation information.

[0035] In the actual operation and scheduling process, the container scheduling recommendation information is generated by calculating the market business demand data, the enterprise's container distribution status data and business distribution status data, and the location of the container, the enterprise's business distribution and the market business demand are all important factors affecting container scheduling. Therefore, the operation scheduling recommendation method of the present invention can match the business needs of the enterprise's own business and the market, that is, it can adapt to the enterprise itself and the market trend, which is conducive to achieving cost reduction and efficiency improvement of container enterprises, thereby assisting in improving the operation scheduling effect. Secondly, the present invention performs preliminary scheduling and secondary scheduling respectively, and can give priority to meeting the business needs of the enterprise itself during preliminary scheduling, and can broaden the market business scope of the enterprise during secondary scheduling, so as to effectively plan and guide the container scheduling of the enterprise.

[0036] In the specific implementation process, in step S1, the container distribution status data includes the total number of containers, the location of each container, and the remaining loading space of a single container; the business distribution status data includes the container demand of the target business, the cargo starting position, and the cargo target position; the market business demand data includes the container demand of the market business, the cargo starting position, and the cargo target position. In this embodiment, the business distribution status data is obtained from the enterprise, and the market business demand data can be obtained from public information or generated based on historical data.

[0037] In the present invention, the total number of containers, the location of each container and the remaining loading space of a single container in the container distribution status data, the container demand of the target business, the cargo starting position and the cargo target position in the business distribution status data, and the container demand of the market business, the cargo starting position and the cargo target position in the market business demand data are all important factors affecting container scheduling. Therefore, the operation scheduling recommendation method of the present invention can match the business needs of the enterprise itself and the market, that is, it can adapt to the enterprise itself and the market trend, which is conducive to reducing costs and increasing efficiency of container enterprises, thereby assisting in improving the operation scheduling effect.

[0038] During the specific implementation process, when preliminary scheduling is performed in step S2: first, according to the starting position of the goods of the target business, a container whose position is relatively closer to the starting position of the goods is matched from all containers; then, according to the container demand of the target business, corresponding containers are selected from the matched containers from near to far in sequence as preliminary scheduling containers; finally, according to the position of the preliminary scheduling container and the remaining loading space, the corresponding preliminary scheduling information of the container is calculated and generated.

[0039] In the present invention, the distance between the container and the starting position of the target business goods is given priority during the preliminary scheduling, thereby reducing the transportation cost of the container and assisting in improving the operational scheduling effect of the container.

[0040] In the specific implementation process, if the container selected as the preliminary dispatch container has been loaded with goods and has remaining loading space, the selected preliminary dispatch container is adjusted according to the target position of the goods loaded in the container and the target position of the goods of the target business. In this embodiment, the selected preliminary dispatch container is adjusted by the following steps: judging whether the distance between the target position of the loaded goods and the target position of the goods of the target business is less than the set distance threshold, if so, the container loaded with goods is used as the preliminary dispatch container; if not, another container is reselected as the preliminary dispatch container. In this embodiment, the distance threshold is set to 20km.

[0041] In the actual freight process, customers with small quantities of goods or small remaining quantities are more willing to "share containers", that is, share a container with other customers. Therefore, the present invention sets a delivery method for two or more customers to share containers, and when the target location of a customer's goods is close to the target location of another customer's goods (that is, the distance is less than the distance threshold), the goods of the two customers are loaded into the same container, which can not only reduce the cost of customers to a certain extent, but also reduce the container dispatching costs of enterprises (because the transportation cost of the container is reduced when the goods are delivered and returned), thereby realizing the cost reduction and efficiency improvement of container enterprises.

[0042] During the specific implementation process, when the secondary scheduling is performed in step S3: first, according to the target position of the goods in the market business, a container with the same target position of the goods and remaining loading space is matched from the containers used as the initial scheduling containers as the secondary scheduling containers; then, according to the starting position of the goods in the market business, a container whose position is relatively closer to the starting position of the goods is matched from the containers remaining after the initial scheduling, and then according to the container demand of the target business, the corresponding containers are selected from the matched containers from near to far in sequence as the secondary scheduling containers; finally, the corresponding container secondary scheduling information is calculated and generated according to the position and remaining loading space of the secondary scheduling container.

[0043] In the present invention, when performing secondary dispatch, the delivery method of two or more customers sharing a container is given priority, which can not only reduce the customer's cost to a certain extent, but also reduce the company's container dispatching fee (because the transportation fee when the container returns after delivering the goods is reduced), thereby achieving cost reduction and efficiency improvement for container companies. Secondly, when performing secondary dispatch, the distance between the container and the starting position of the target business goods is also given priority, thereby reducing the transportation cost of the container and assisting in improving the operational dispatch effect of the container.

[0044] In the specific implementation process, in step S2 or S3, a transportation mode of air transportation, ship transportation, railway transportation or trailer transportation is selected according to the remaining loading space and time requirement of the container.

[0045] In the actual container transportation process, the costs of different modes of transportation such as air transportation, ship transportation, rail transportation or trailer transportation are different, but the corresponding transportation efficiency is also different; and the costs of different transportation tools are also different depending on the amount of cargo loaded in the container. Therefore, the present invention selects a transportation method based on the remaining loading space and time requirements of the container, which is conducive to reducing the dispatching costs of the container on the basis of ensuring the dispatching efficiency, thereby achieving cost reduction and efficiency improvement.

[0046] The above is only an embodiment of the present invention. The common sense such as the known specific structure and characteristics in the scheme is not described in detail here. The ordinary technicians in the relevant field know all the common technical knowledge in the technical field of the invention before the application date or priority date, can obtain all the existing technologies in the field, and have the ability to apply the conventional experimental means before that date. The ordinary technicians in the relevant field can improve and implement this scheme in combination with their own abilities under the enlightenment given by this application. Some typical known structures or known methods should not become obstacles for ordinary technicians in the relevant field to implement this application. It should be pointed out that for those skilled in the art, without departing from the structure of the present invention, several deformations and improvements can be made, which should also be regarded as the protection scope of the present invention, which will not affect the effect of the implementation of the present invention and the practicality of the patent. The protection scope required by this application shall be based on the content of its claims, and the specific implementation methods and other records in the specification can be used to interpret the content of the claims.

Claims

1. A container operation scheduling recommendation method, characterized in that: Calculate and generate container scheduling recommendation information based on market business demand data, as well as the enterprise's container distribution status data and business distribution status data, and display the generated container scheduling recommendation information; The specific steps include: S1: Obtain market business demand data, as well as the enterprise's container distribution status data and business distribution status data; S2: Perform preliminary dispatch of containers according to the enterprise's container distribution status data and business distribution status data, and generate corresponding preliminary dispatch information of containers; When performing preliminary scheduling in step S2: first, according to the starting position of the goods of the target business, a container whose location is relatively closer to the starting position of the goods is matched from all containers; then, according to the container demand of the target business, corresponding containers are selected from the matched containers from near to far in sequence as preliminary scheduling containers; finally, according to the location of the preliminary scheduling container and the remaining loading space, the corresponding preliminary scheduling information of the container is calculated and generated; If the container selected as the preliminary dispatch container has been loaded with goods and has remaining loading space, the selected preliminary dispatch container is adjusted according to the target location of the goods loaded in the container and the target location of the goods of the target business; a delivery method of combining containers for two or more customers is set; S3: Perform secondary dispatch of containers according to the distribution status of containers after the initial dispatch and the market business demand data, and generate corresponding secondary dispatch information of containers; When performing secondary dispatch in step S3: first, according to the target location of the goods of the market business, a container with the same target location of the goods and remaining loading space is matched from the containers used as the initial dispatch containers as the secondary dispatch containers; then, according to the starting location of the goods of the market business, a container whose location is relatively closer to the starting location of the goods is matched from the containers remaining after the initial dispatch, and then, according to the container demand of the target business, corresponding containers are selected from the matched containers from near to far in sequence as the secondary dispatch containers; finally, the corresponding container secondary dispatch information is calculated and generated according to the location and remaining loading space of the secondary dispatch containers; during the secondary dispatch, the delivery method of combining containers for two or more customers is preferentially set; S4: Generate corresponding container scheduling recommendation information according to the preliminary container scheduling information and the secondary container scheduling information, and display the generated container scheduling recommendation information.

2. The container operation scheduling recommendation method according to claim 1, characterized in that: In step S1, the container distribution status data includes the total number of containers, the location of each container and the remaining loading space of a single container.

3. The container operation scheduling recommendation method according to claim 2, characterized in that: In step S1, the business distribution status data includes the container demand, cargo starting position and cargo target position of the target business.

4. The container operation scheduling recommendation method according to claim 3, characterized in that: In step S1, the market service demand data includes the container demand quantity, cargo starting position and cargo target position of the market service.

5. The container operation scheduling recommendation method according to claim 1, characterized in that: The selected preliminary dispatch container is adjusted through the following steps: determine whether the distance between the target location of the loaded goods and the target location of the goods of the target business is less than the set distance threshold. If so, the container loaded with the goods is used as the preliminary dispatch container; if not, reselect other containers as the preliminary dispatch container.

6. The container operation scheduling recommendation method according to claim 1, characterized in that: In step S2 or S3, one of the modes of transportation, namely, air transportation, ship transportation, rail transportation or trailer transportation, is selected according to the remaining loading space of the container and the time requirement.

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