CN112465409A - Container operation scheduling recommendation method - Google Patents
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Abstract
The invention relates to the technical field of logistics management, in particular to a container operation scheduling recommendation method, which comprises the following steps: acquiring market business demand data, container distribution state data and business distribution state data of an enterprise; performing preliminary dispatching on the containers according to the container distribution state data and the service distribution state data of the enterprise, and generating corresponding preliminary dispatching information of the containers; performing secondary scheduling on the containers according to the distribution state of the containers after the primary scheduling and market business demand data, and generating corresponding secondary scheduling information of the containers; and generating corresponding container scheduling recommendation information according to the container primary scheduling information and the container secondary scheduling information, and displaying the generated container scheduling recommendation information. The container operation scheduling recommendation method can be suitable for enterprises and market trends, so that the operation scheduling effect of the container can be improved in an auxiliary mode.
Description
Technical Field
The invention relates to the technical field of logistics management, in particular to a container operation scheduling recommendation method.
Background
In recent years, trade at home and abroad is rapidly developed, and multi-type intermodal transportation of containers becomes an important form of modernization of transportation. As the demand for shipping containers by customers continues to increase, the challenges facing container operators are also more acute. To gain a place in the intense competitive market, cost reduction and efficiency enhancement have become a major concern in the container operations industry. The cost reduction and the efficiency improvement of the container operation are realized by means of controlling the ship time, shipping union, large-scale ship and the like, and although a certain effect is obtained, some disadvantages exist. One significant obstacle faced by multimodal transportation is that ownership of containers has different subjects, which not only hinders the cyclic sharing of containers, but also greatly increases the costs of different subjects for returning containers in different places, scheduling empty containers, managing containers, overdue expenses and the like.
Therefore, shared containers appear in the prior art, idle containers can be fully utilized, the cost of a container transportation system is greatly reduced, and the container can be circularly shared along with the rapid development of technologies such as big data, internet of things, data mining and the like. For example, chinese patent publication No. CN110135779A discloses "a platform-based container sharing method", which establishes an internet + container sharing platform, where the internet + container sharing platform includes a member management module, a basic service module, an evaluation management module, and an internal scheduling module; the platform encodes the member container and uniformly identifies the member container; the container supply and demand parties issue information on a sharing platform, and trade and settle funds on line; the physical flow of the container adopts a crowdsourcing mode, and the sharing platform assigns a transport company to complete the physical flow, so that the shared circulation of the container among different enterprises is realized.
The container sharing method in the prior art promotes the rapid matching transaction of the container supply and demand parties in a container sharing mode, so as to realize the circular sharing of the logistics container in the region range. However, in the course of practical research, the applicant found that the way of sharing the container can only control the operation cost of the container to a certain extent, and can not really realize cost reduction and efficiency improvement of the container operation. Because the container utilization rate of an enterprise is closely related to the factors such as the business distribution and the market trend of the enterprise, and the business distribution and the market trend of the enterprise are a dynamically changing process, for example, the business distribution and the market trend change along with seasons, festivals and even weather, the problem of 'insufficient supply' or 'greater supply' of containers in a certain place is easy to occur, and the operation scheduling effect of the containers is poor. Therefore, the applicant thinks of designing a container operation scheduling recommendation method based on the enterprise and the market business so as to assist in improving the operation scheduling effect of the container.
Disclosure of Invention
Aiming at the defects of the prior art, the technical problems to be solved by the invention are as follows: how to provide a container operation scheduling recommendation method which can be suitable for enterprises and market trends, so that the operation scheduling effect of containers can be improved in an auxiliary mode.
In order to solve the technical problems, the invention adopts the following technical scheme:
a container operation scheduling recommendation method is characterized in that container scheduling recommendation information is generated through calculation according to market business demand data, container distribution state data and business distribution state data of enterprises, and the generated container scheduling recommendation information is displayed.
Preferably, the method specifically comprises the following steps:
s1: acquiring market business demand data, container distribution state data and business distribution state data of an enterprise;
s2: performing preliminary dispatching on the containers according to the container distribution state data and the service distribution state data of the enterprise, and generating corresponding preliminary dispatching information of the containers;
s3: performing secondary scheduling on the containers according to the distribution state of the containers after the primary scheduling and market business demand data, and generating corresponding secondary scheduling information of the containers;
s4: and generating corresponding container scheduling recommendation information according to the container primary scheduling information and the container secondary scheduling information, and displaying the generated container scheduling recommendation information.
Preferably, in step S1, the container distribution status data includes the total number of containers, the positions of the containers, and the remaining loadable space of the single container.
Preferably, in step S1, the traffic distribution status data includes a container demand of the target traffic, a cargo start position and a cargo target position.
Preferably, in step S1, the market demand data includes container demand, cargo starting position and cargo target position of the market.
Preferably, when performing the preliminary scheduling in step S2: firstly, matching containers with positions relatively close to the initial positions of the goods from all the containers according to the initial positions of the goods of the target business; then, according to the container demand of the target service, corresponding containers are sequentially selected from the matched containers from near to far as a primary dispatching container; and finally, calculating and generating corresponding container preliminary dispatching information according to the position of the preliminary dispatching container and the residual loadable space.
Preferably, if the container selected as the preliminary dispatch container is loaded with goods and has a remaining loadable space, the selected preliminary dispatch container is adjusted according to the target position of the loaded goods of the container and the goods target position of the target service.
Preferably, the selected preliminary dispatch container is adjusted by: judging whether the distance between the target position of the loaded goods and the target position of the goods of the target service is smaller than a set distance threshold value or not, if so, taking the container of the loaded goods as a primary dispatching container; if not, other containers are reselected as the primary dispatching containers.
Preferably, when performing the secondary scheduling in step S3: firstly, matching containers with the same goods target positions and the residual loadable space from the containers serving as primary dispatching containers according to the goods target positions of the market business to serve as secondary dispatching containers; then matching containers at positions which are relatively closer to the initial position of the goods from the remaining containers after the initial scheduling according to the initial position of the goods of the market business, and sequentially selecting corresponding containers from the matched containers from near to far according to the container demand of the target business as secondary scheduling containers; and finally, calculating and generating corresponding container secondary scheduling information according to the position of the secondary scheduling container and the residual loadable space.
Preferably, in step S2 or S3, one transportation mode of air transportation, ship transportation, rail transportation or trailer transportation is selected according to the remaining loadable space and time requirement of the container.
Compared with the prior art, the container operation scheduling recommendation method has the following advantages:
1. in the actual operation scheduling process, the container scheduling recommendation information is calculated and generated through market business demand data, container distribution state data and business distribution state data of an enterprise, and the position of a container, the business distribution of the enterprise and the market business demand are all important factors influencing container scheduling. Therefore, the operation scheduling recommendation method can be matched with the business of the enterprise and the business requirements of the market, can adapt to the trend of the enterprise and the market, is favorable for realizing cost reduction and efficiency improvement of the container enterprise, and can assist in improving the operation scheduling effect.
2. In the invention, the primary scheduling and the secondary scheduling are respectively carried out, the business requirements of the enterprise can be preferentially met during the primary scheduling, and the market business range of the enterprise can be widened during the secondary scheduling, so that the container scheduling of the enterprise can be effectively planned and guided.
3. In the invention, the delivery mode of the containers assembled by two or more clients is set, and when the target position of the goods of the client is close to the target position of the goods of another client (namely the distance is less than the distance threshold), the goods of two clients are loaded into the same container, so that the cost of the client can be reduced to a certain extent, the container dispatching cost of an enterprise can also be reduced (because the transportation cost when the goods are delivered to the container and returned is reduced), and the cost reduction and the efficiency improvement of the container enterprise can be realized.
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For purposes of promoting a better understanding of the objects, aspects and advantages of the invention, reference will now be made in detail to the present invention as illustrated in the accompanying drawings, in which:
fig. 1 is a logic block diagram of a container operation scheduling recommendation method in an embodiment.
Detailed Description
The following is further detailed by the specific embodiments:
example (b):
the embodiment discloses a container operation scheduling recommendation method.
A container operation scheduling recommendation method is characterized in that container scheduling recommendation information is generated through calculation according to market business demand data, container distribution state data and business distribution state data of enterprises, and the generated container scheduling recommendation information is displayed. As shown in fig. 1, the method specifically comprises the following steps:
s1: acquiring market business demand data, container distribution state data and business distribution state data of an enterprise;
s2: performing preliminary dispatching on the containers according to the container distribution state data and the service distribution state data of the enterprise, and generating corresponding preliminary dispatching information of the containers;
s3: performing secondary scheduling on the containers according to the distribution state of the containers after the primary scheduling and market business demand data, and generating corresponding secondary scheduling information of the containers;
s4: and generating corresponding container scheduling recommendation information according to the container primary scheduling information and the container secondary scheduling information, and displaying the generated container scheduling recommendation information.
In the actual operation scheduling process, the container scheduling recommendation information is calculated and generated through market business demand data, container distribution state data and business distribution state data of an enterprise, and the position of a container, the business distribution of the enterprise and the market business demand are all important factors influencing container scheduling. Therefore, the operation scheduling recommendation method can be matched with the business of the enterprise and the business requirements of the market, can adapt to the trend of the enterprise and the market, is favorable for realizing cost reduction and efficiency improvement of the container enterprise, and can assist in improving the operation scheduling effect. Secondly, the invention respectively carries out primary scheduling and secondary scheduling, can preferentially meet the business requirements of the enterprise during the primary scheduling, and can widen the market business range of the enterprise during the secondary scheduling, thereby effectively planning and guiding the container scheduling of the enterprise.
In a specific implementation process, in step S1, the container distribution status data includes a total number of containers, positions of the containers, and remaining loadable spaces of the individual containers; the service distribution state data comprises container demand of target service, a goods starting position and a goods target position; the market traffic demand data includes a container demand, a cargo starting location, and a cargo target location for the market traffic. In this embodiment, the service distribution status data is obtained from an enterprise, and the market service demand data may be obtained from public information or generated according to historical data.
In the invention, the total quantity of the containers, the positions of the containers and the residual loadable space of a single container of the container distribution state data, the container demand, the goods starting position and the goods target position of the target business of the business distribution state data, and the container demand, the goods starting position and the goods target position of the market business demand data are all important factors influencing the container scheduling. Therefore, the operation scheduling recommendation method can be matched with the business of the enterprise and the business requirements of the market, can adapt to the trend of the enterprise and the market, is favorable for realizing cost reduction and efficiency improvement of the container enterprise, and can assist in improving the operation scheduling effect.
In a specific implementation process, when performing preliminary scheduling in step S2: firstly, matching containers with positions relatively close to the initial positions of the goods from all the containers according to the initial positions of the goods of the target business; then, according to the container demand of the target service, corresponding containers are sequentially selected from the matched containers from near to far as a primary dispatching container; and finally, calculating and generating corresponding container preliminary dispatching information according to the position of the preliminary dispatching container and the residual loadable space.
In the invention, the distance between the container and the initial position of the target service goods is preferentially considered during the initial dispatching, so that the transportation cost of the container can be reduced, and the operation dispatching effect of the container can be assisted to be improved.
In the specific implementation process, if the container selected as the preliminary dispatching container is loaded with goods and has a residual loading space, the selected preliminary dispatching container is adjusted according to the target position of the loaded goods of the container and the goods target position of the target service. 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 service is smaller than a set distance threshold value or not, if so, taking the container of the loaded goods as a primary dispatching container; if not, other containers are reselected as the primary dispatching containers. In the present embodiment, the distance threshold is set to 20 km.
In the actual freight process, customers with small freight quantity or small residual freight quantity prefer to 'piece together containers', namely, share one container with other customers. Therefore, the delivery mode of the container assembled by two or more clients is set, and when the target position of the goods of the client is close to the target position of the goods of another client (namely the distance is smaller than the distance threshold), the goods of two clients are loaded into the same container, so that the cost of the client can be reduced to a certain extent, the container dispatching cost of an enterprise can be reduced (the transportation cost when the goods are delivered to the container and returned is reduced), and the cost reduction and the efficiency improvement of the container enterprise can be realized.
In a specific implementation process, when performing secondary scheduling in step S3: firstly, matching containers with the same goods target positions and the residual loadable space from the containers serving as primary dispatching containers according to the goods target positions of the market business to serve as secondary dispatching containers; then matching containers at positions which are relatively closer to the initial position of the goods from the remaining containers after the initial scheduling according to the initial position of the goods of the market business, and sequentially selecting corresponding containers from the matched containers from near to far according to the container demand of the target business as secondary scheduling containers; and finally, calculating and generating corresponding container secondary scheduling information according to the position of the secondary scheduling container and the residual loadable space.
In the invention, the delivery mode of two or more clients for splicing the containers is preferentially set during secondary scheduling, so that the cost of the clients can be reduced to a certain extent, and the container scheduling cost of an enterprise can be reduced (because the transportation cost of the returned goods after the containers are delivered is reduced), thereby realizing cost reduction and efficiency improvement of the container enterprise. Secondly, the distance between the container and the initial position of the target service goods is also considered preferentially when the secondary scheduling is carried out, so that the transportation cost of the container can be reduced, and the operation scheduling effect of the container can be improved in an auxiliary manner.
In the specific implementation process, in step S2 or S3, one transportation mode of air transportation, ship transportation, railway transportation or trailer transportation is selected according to the remaining loadable space and time requirement of the container.
In the actual container transportation process, the cost of different transportation modes such as air transportation, ship transportation, railway transportation or trailer transportation is different, but the corresponding transportation efficiency is also different; and the amount of cargo contained in the container varies, as does the cost of different vehicles. Therefore, the invention selects the transportation mode according to the residual loadable space and time requirement of the container, which is beneficial to reducing the dispatching cost of the container on the basis of ensuring the dispatching efficiency, thereby realizing cost reduction and efficiency improvement.
The foregoing is merely an example of the present invention, and common general knowledge in the field of known specific structures and characteristics is not described herein in any greater extent than that known in the art at the filing date or prior to the priority date of the application, so that those skilled in the art can now appreciate that all of the above-described techniques in this field and have the ability to apply routine experimentation before this date can be combined with one or more of the present teachings to complete and implement the present invention, and that certain typical known structures or known methods do not pose any impediments to the implementation of the present invention by those skilled in the art. It should be noted that, for those skilled in the art, without departing from the structure of the present invention, several changes and modifications can be made, which should also be regarded as the protection scope of the present invention, and these will not affect the effect of the implementation of the present invention and the practicability of the patent. The scope of the claims of the present application shall be determined by the contents of the claims, and the description of the embodiments and the like in the specification shall be used to explain the contents of the claims.
Claims (10)
1. A container operation scheduling recommendation method is characterized in that: and calculating to generate container scheduling recommendation information according to the market business demand data, the container distribution state data of the enterprise and the business distribution state data, and displaying the generated container scheduling recommendation information.
2. The container operation scheduling recommendation method according to claim 1, comprising the following steps:
s1: acquiring market business demand data, container distribution state data and business distribution state data of an enterprise;
s2: performing preliminary dispatching on the containers according to the container distribution state data and the service distribution state data of the enterprise, and generating corresponding preliminary dispatching information of the containers;
s3: performing secondary scheduling on the containers according to the distribution state of the containers after the primary scheduling and market business demand data, and generating corresponding secondary scheduling information of the containers;
s4: and generating corresponding container scheduling recommendation information according to the container primary scheduling information and the container secondary scheduling information, and displaying the generated container scheduling recommendation information.
3. The container operation schedule recommendation method of claim 2 wherein: in step S1, the container distribution status data includes the total number of containers, the positions of the containers, and the remaining loadable space of the single container.
4. The container operation schedule recommendation method of claim 3 wherein: in step S1, the service distribution status data includes a container demand of the target service, a cargo start position, and a cargo target position.
5. The container operation schedule recommendation method of claim 4 wherein: in step S1, the market demand data includes container demand, cargo starting position and cargo target position of the market.
6. The container operation scheduling recommendation method of claim 5, wherein when performing the preliminary scheduling in step S2: firstly, matching containers with positions relatively close to the initial positions of the goods from all the containers according to the initial positions of the goods of the target business; then, according to the container demand of the target service, corresponding containers are sequentially selected from the matched containers from near to far as a primary dispatching container; and finally, calculating and generating corresponding container preliminary dispatching information according to the position of the preliminary dispatching container and the residual loadable space.
7. The container operation schedule recommendation method of claim 6 wherein: if the container selected as the preliminary dispatching container is loaded with goods and has the residual loading space, the selected preliminary dispatching container is adjusted according to the target position of the loaded goods of the container and the goods target position of the target service.
8. The container operation schedule recommendation method of claim 7 further comprising: adjusting the selected preliminary dispatch container by: judging whether the distance between the target position of the loaded goods and the target position of the goods of the target service is smaller than a set distance threshold value or not, if so, taking the container of the loaded goods as a primary dispatching container; if not, other containers are reselected as the primary dispatching containers.
9. The container operation scheduling recommendation method of claim 6, wherein when performing the secondary scheduling in step S3: firstly, matching containers with the same goods target positions and the residual loadable space from the containers serving as primary dispatching containers according to the goods target positions of the market business to serve as secondary dispatching containers; then matching containers at positions which are relatively closer to the initial position of the goods from the remaining containers after the initial scheduling according to the initial position of the goods of the market business, and sequentially selecting corresponding containers from the matched containers from near to far according to the container demand of the target business as secondary scheduling containers; and finally, calculating and generating corresponding container secondary scheduling information according to the position of the secondary scheduling container and the residual loadable space.
10. The method for recommending container operation schedule of claim 9, wherein in step S2 or S3, one of air transportation, ship transportation, rail transportation and trailer transportation is selected according to the remaining loadable space and time requirement of the container.
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- 2020-12-31 CN CN202011632097.XA patent/CN112465409A/en active Pending
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| WO2002075493A2 (en) * | 2001-03-16 | 2002-09-26 | Gregg Bloom | Method and apparatus for efficient package delivery and storage |
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