CN113159490A - Intelligent scheduling method for international logistics - Google Patents
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Abstract
The application discloses an international logistics intelligent scheduling method, which comprises the following steps: the method comprises the steps of collecting customer information, collecting longitude and latitude of specific positions of a starting place and a unloading place of a customer cargo, and information of a city, a peripheral port, an airport and the like, collecting information of participants, planning point-to-point full-flow participants according to line information provided by each participant, planning and integrating the flow information of the participants, planning a discrete line, selecting an entry model with limited low price, shortest time, highest safety and the like according to transportation capacity and rules selected by the customers, calculating and combining freight rates, calculating units and prices according to deep learning, combining the full-flow lines again, adding fixed fees such as additional fees of each port, a transport company and platform service fees and the like, finally forming quotations, sequencing according to the final quotations formed by each participant, and uploading the information of the participants and the quotation information to a platform. The application provides a full-flow visual intelligent scheduling method.
Description
Technical Field
The application relates to an international logistics intelligent scheduling method, in particular to an international logistics intelligent scheduling method.
Background
Along with trade globalization, the demand of international logistics is more and more, but the flow is long in international logistics, the link is many, the participant is various, and the degree of informatization is also very different, from the participant: factories, generations, supply chains, customs clearance, trailer companies, docks, ports, ships, airlines, container companies, etc., in terms of logistics: air transportation, sea transportation, vapour fortune, railway, express delivery, see from the trade mode: general trade, processing trade, trade of transferring, cross border electricity merchant (1210, 9610, 9710, 9810), FBA etc. wherein the individual logistics form is divided into whole case and bulk cargo again, from the trade mode view: the EXW, FOB, CIF, DAP, DDU, DDP and the like have different combined customs declaration, transportation and settlement modes in each form, and systems in a plurality of parties are different, and the languages are also various.
When the international logistics scheduling is planned in the prior art, much information needs to be collected, including: lines, capacity, price and the like are very long and complex processes, the accuracy is not high, sometimes, the difference is very large, and a proper platform and a combined scheduling method are not available for international logistics scheduling. Therefore, an international logistics intelligent scheduling method is proposed for the problems.
Disclosure of Invention
The intelligent scheduling method of the international logistics comprises the following steps:
(1) the method comprises the steps of collecting client information, namely collecting the longitude and latitude of specific positions of a starting place and a discharging place of client goods, and information of cities, peripheral ports, airports and the like;
(2) the method comprises the following steps of collecting participant information, planning point-to-point full-process participants according to line information provided by each participant, and carrying out planning and synthesis on the process information of the participants;
(3) planning a discrete line, and selecting a low-price limited, efficiency-first, time-shortest, safety-highest and the like to be brought into a model according to the capacity and the rules selected by customers;
(4) the freight calculation combination is used for calculating each unit and price according to deep learning, then combining the whole flow path again, and adding fixed fees such as additional fees of each port, transport company and platform service fee to finally form quoted prices;
(5) and arranging the online, sequencing according to the final quotation formed by each participant, and online the participant information and the quotation information to a multi-platform.
Further, in the step (1), basic properties of the goods, loading and unloading time of the goods, delivery time of the goods, pick-and-place addresses, transport properties of the goods and the like need to be provided for the participants, the transport requirements of the customers are provided for the participants to refer to, and the participants are preliminarily screened according to the transport requirements of the customers.
Further, the participating party in the step (1) provides origin vehicle information, the vehicle information includes vehicle positioning information and vehicle state information, different tank boxes are adopted according to the sizes of the cargos, the tank box information is collected and includes tank box positioning information and tank box state information, and the vehicle positioning information and the tank box positioning information are subjected to coordinate conversion to obtain vehicle longitude and latitude information and tank longitude and latitude information.
Further, the information provided by the participating party in the step (1) further comprises a vehicle sequencing strategy, which is used for sequencing the vehicles, sequencing the vehicles according to the rated load of the vehicles from high to low, sequencing the vehicles according to the rated load of the vehicles from low to high, sequencing the vehicles according to the vehicle numbers, and comprehensively calculating the transportation capacity.
Further, the rule selected by the customer in the step (3) needs to indicate the goods delivery time, which refers to the upper and lower time windows for goods delivery, in order to satisfy the requirement of relieving the warehouse operating pressure, different delivery points are generally arranged to take goods in separate time periods, that is, there is a demand for the time window for taking goods for ordered goods, and for the customer at the delivery point, it is desirable to be able to receive the ordered goods within the specified time range, so there is a demand for the time window for goods delivery.
Further, the transport capacity of each node is calculated according to the platform interface in the step (2), and the transport execution is guaranteed.
Further, the multiple platforms in the step (5) comprise a computer pc, a mobile phone, a WeChat applet, a short message, a mail and the like, can monitor the goods in real time, can read vehicle positioning information, vehicle state information, tank positioning information and tank state information, and keep the whole platform in a visual, controllable, trackable and traceable way.
Further, in the step (4), the quotations meeting the rules selected by the client are respectively listed, and the characteristic points of the quotations of each participant are listed according to the rules which are considered to be important in the rules selected by the client, such as delivery time, optimal protection of delivery process, and the like.
Further, the quotation information includes comprehensive score ordering, time saving ordering, distance saving ordering, saving distance nearest ordering, distance shortest ordering and time shortest ordering obtained from quotations provided by each participant.
Further, in the step (5), according to the quotation made by the multiple participants, comprehensive matching is performed by adopting time saving, distance saving, shortest saving distance, shortest distance and shortest time, and an optimal matching route and a matching mode are formed according to a combined logistics matching mode, so that optimal quotation information is obtained.
The beneficial effect of this application is: the application provides an international logistics intelligent scheduling method integrating transportation capacity and full-process visual multi-platform application.
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In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings needed to be used in the description of the embodiments or the prior art will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present application, and it is obvious for those skilled in the art that other drawings can be obtained according to the drawings without inventive exercise.
Fig. 1 is a flow chart of the present application.
Detailed Description
In order to make the technical solutions better understood by those skilled in the art, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only partial embodiments of the present application, but not all embodiments. 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 application.
It should be noted that the terms "first," "second," and the like in the description and claims of this application and in the drawings described above are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It should be understood that the data so used may be interchanged under appropriate circumstances such that embodiments of the application described herein may be used. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
In this application, the terms "upper", "lower", "left", "right", "front", "rear", "top", "bottom", "inner", "outer", "middle", "vertical", "horizontal", "lateral", "longitudinal", and the like indicate orientations or positional relationships based on the orientations or positional relationships shown in the drawings. These terms are used primarily to better describe the present application and its embodiments, and are not used to limit the indicated devices, elements or components to a particular orientation or to be constructed and operated in a particular orientation.
Moreover, some of the above terms may be used to indicate other meanings besides the orientation or positional relationship, for example, the term "on" may also be used to indicate some kind of attachment or connection relationship in some cases. The specific meaning of these terms in this application will be understood by those of ordinary skill in the art as appropriate.
Furthermore, the terms "mounted," "disposed," "provided," "connected," and "sleeved" are to be construed broadly. For example, it may be a fixed connection, a removable connection, or a unitary construction; can be a mechanical connection, or an electrical connection; may be directly connected, or indirectly connected through intervening media, or may be in internal communication between two devices, elements or components. The specific meaning of the above terms in the present application can be understood by those of ordinary skill in the art as appropriate.
It should be noted that the embodiments and features of the embodiments in the present application may be combined with each other without conflict. The present application will be described in detail below with reference to the embodiments with reference to the attached drawings.
The first embodiment is as follows:
the intelligent scheduling method of the international logistics comprises the following steps:
(1) the method comprises the steps of collecting client information, namely collecting the longitude and latitude of specific positions of a starting place and a discharging place of client goods, and information of cities, peripheral ports, airports and the like;
(2) the method comprises the following steps of collecting participant information, planning point-to-point full-process participants according to line information provided by each participant, and carrying out planning and synthesis on the process information of the participants;
(3) planning a discrete line, and selecting a low-price limited, efficiency-first, time-shortest, safety-highest and the like to be brought into a model according to the capacity and the rules selected by customers;
(4) the freight calculation combination is used for calculating each unit and price according to deep learning, then combining the whole flow path again, and adding fixed fees such as additional fees of each port, transport company and platform service fee to finally form quoted prices;
(5) and arranging the online, sequencing according to the final quotation formed by each participant, and online the participant information and the quotation information to a multi-platform.
Further, in the step (1), basic properties of the goods, loading and unloading time of the goods, delivery time of the goods, pick-and-place addresses, transport properties of the goods and the like need to be provided for the participants, the transport requirements of the customers are provided for the participants to refer to, and the participants are preliminarily screened according to the transport requirements of the customers.
Further, the participating party in the step (1) provides origin vehicle information, the vehicle information includes vehicle positioning information and vehicle state information, different tank boxes are adopted according to the sizes of the cargos, the tank box information is collected and includes tank box positioning information and tank box state information, and the vehicle positioning information and the tank box positioning information are subjected to coordinate conversion to obtain vehicle longitude and latitude information and tank longitude and latitude information.
Further, the information provided by the participating party in the step (1) further comprises a vehicle sequencing strategy, which is used for sequencing the vehicles, sequencing the vehicles according to the rated load of the vehicles from high to low, sequencing the vehicles according to the rated load of the vehicles from low to high, sequencing the vehicles according to the vehicle numbers, and comprehensively calculating the transportation capacity.
Further, the rule selected by the customer in the step (3) needs to indicate the goods delivery time, which refers to the upper and lower time windows for goods delivery, in order to satisfy the requirement of relieving the warehouse operating pressure, different delivery points are generally arranged to take goods in separate time periods, that is, there is a demand for the time window for taking goods for ordered goods, and for the customer at the delivery point, it is desirable to be able to receive the ordered goods within the specified time range, so there is a demand for the time window for goods delivery.
Further, the transport capacity of each node is calculated according to the platform interface in the step (2), and the transport execution is guaranteed.
Further, the multiple platforms in the step (5) comprise a computer pc, a mobile phone, a WeChat applet, a short message, a mail and the like, can monitor the goods in real time, can read vehicle positioning information, vehicle state information, tank positioning information and tank state information, and keep the whole platform in a visual, controllable, trackable and traceable way.
Further, in the step (4), the quotations meeting the rules selected by the client are respectively listed, and the characteristic points of the quotations of each participant are listed according to the rules which are considered to be important in the rules selected by the client, such as delivery time, optimal protection of delivery process, and the like.
Further, the quotation information includes comprehensive score ordering, time saving ordering, distance saving ordering, saving distance nearest ordering, distance shortest ordering and time shortest ordering obtained from quotations provided by each participant.
Further, in the step (5), according to the quotation made by the multiple participants, comprehensive matching is performed by adopting time saving, distance saving, shortest saving distance, shortest distance and shortest time, and an optimal matching route and a matching mode are formed according to a combined logistics matching mode, so that optimal quotation information is obtained.
The method is suitable for the full-process visual intelligent scheduling method.
Example two:
the intelligent scheduling method of the international logistics comprises the following steps:
(1) the method comprises the steps of collecting client information, namely collecting the longitude and latitude of specific positions of a starting place and a discharging place of client goods, and information of cities, peripheral ports, airports and the like;
(2) the method comprises the following steps of collecting participant information, planning point-to-point full-process participants according to line information provided by each participant, and carrying out planning and synthesis on the process information of the participants;
(3) planning a discrete line, and selecting a low-price limited, efficiency-first, time-shortest, safety-highest and the like to be brought into a model according to the capacity and the rules selected by customers;
(4) the freight calculation combination is used for calculating each unit and price according to deep learning, then combining the whole flow path again, and adding fixed fees such as additional fees of each port, transport company and platform service fee to finally form quoted prices;
(5) and arranging the online, sequencing according to the final quotation formed by each participant, and online the participant information and the quotation information to a multi-platform.
Further, in the step (1), basic properties of the goods, loading and unloading time of the goods, delivery time of the goods, pick-and-place addresses, transport properties of the goods and the like need to be provided for the participants, the transport requirements of the customers are provided for the participants to refer to, and the participants are preliminarily screened according to the transport requirements of the customers.
Further, the participating party in the step (1) provides origin vehicle information, the vehicle information includes vehicle positioning information and vehicle state information, different tank boxes are adopted according to the sizes of the cargos, the tank box information is collected and includes tank box positioning information and tank box state information, and the vehicle positioning information and the tank box positioning information are subjected to coordinate conversion to obtain vehicle longitude and latitude information and tank longitude and latitude information.
Further, the information provided by the participating party in the step (1) further comprises a vehicle sequencing strategy, which is used for sequencing the vehicles, sequencing the vehicles according to the rated load of the vehicles from high to low, sequencing the vehicles according to the rated load of the vehicles from low to high, sequencing the vehicles according to the vehicle numbers, and comprehensively calculating the transportation capacity.
Further, the rule selected by the customer in the step (3) needs to indicate the goods delivery time, which refers to the upper and lower time windows for goods delivery, in order to satisfy the requirement of relieving the warehouse operating pressure, different delivery points are generally arranged to take goods in separate time periods, that is, there is a demand for the time window for taking goods for ordered goods, and for the customer at the delivery point, it is desirable to be able to receive the ordered goods within the specified time range, so there is a demand for the time window for goods delivery.
Further, the transport capacity of each node is calculated according to the platform interface in the step (2), and the transport execution is guaranteed.
Further, the multiple platforms in the step (5) comprise a computer pc, a mobile phone, a WeChat applet, a short message, a mail and the like, can monitor the goods in real time, can read vehicle positioning information, vehicle state information, tank positioning information and tank state information, and keep the whole platform in a visual, controllable, trackable and traceable way.
Further, in the step (4), the quotations meeting the rules selected by the client are respectively listed, and the characteristic points of the quotations of each participant are listed according to the rules which are considered to be important in the rules selected by the client, such as delivery time, optimal protection of delivery process, and the like.
Further, the quotation information includes comprehensive score ordering, time saving ordering, distance saving ordering, saving distance nearest ordering, distance shortest ordering and time shortest ordering obtained from quotations provided by each participant.
Further, in the step (5), according to the quotation made by the multiple participants, comprehensive matching is performed by adopting time saving, distance saving, shortest saving distance, shortest distance and shortest time, and an optimal matching route and a matching mode are formed according to a combined logistics matching mode, so that optimal quotation information is obtained.
The method is suitable for various optimal combined international logistics intelligent scheduling methods.
The above description is only a preferred embodiment of the present application and is not intended to limit the present application, and various modifications and changes may be made by those skilled in the art. Any modification, equivalent replacement, improvement and the like made within the spirit and principle of the present application shall be included in the protection scope of the present application.
Claims (10)
1. The international logistics intelligent scheduling method is characterized by comprising the following steps: the intelligent scheduling method comprises the following steps:
(1) the method comprises the steps of collecting client information, namely collecting the longitude and latitude of specific positions of a starting place and a discharging place of client goods, and information of cities, peripheral ports, airports and the like;
(2) the method comprises the following steps of collecting participant information, planning point-to-point full-process participants according to line information provided by each participant, and carrying out planning and synthesis on the process information of the participants;
(3) planning a discrete line, and selecting a low-price limited, efficiency-first, time-shortest, safety-highest and the like to be brought into a model according to the capacity and the rules selected by customers;
(4) the freight calculation combination is used for calculating each unit and price according to deep learning, then combining the whole flow path again, and adding fixed fees such as additional fees of each port, transport company and platform service fee to finally form quoted prices;
(5) and arranging the online, sequencing according to the final quotation formed by each participant, and online the participant information and the quotation information to a multi-platform.
2. The intelligent scheduling method of international logistics according to claim 1, characterized in that: in the step (1), basic properties of the goods, goods loading and unloading time, goods delivery time, goods picking and delivering address, goods transportation properties and the like need to be provided for the participants, transportation requirements of customers are provided for the participants to refer to, and preliminary screening of the participants is carried out according to the transportation requirements of the customers.
3. The intelligent scheduling method of international logistics according to claim 1, characterized in that: and (2) the participating party in the step (1) provides the departure place vehicle information, the vehicle information comprises vehicle positioning information and vehicle state information, different tank boxes are adopted according to the sizes of the cargos, the tank box information is collected, the tank box information comprises tank box positioning information and tank box state information, the vehicle positioning information and the tank box positioning information are subjected to coordinate conversion, and vehicle longitude and latitude information and tank box longitude and latitude information are obtained.
4. The intelligent scheduling method of international logistics according to claim 1, characterized in that: the information provided by the participating party in the step (1) further comprises a vehicle sequencing strategy, which is used for sequencing the vehicles, sequencing the vehicles according to the rated load of the vehicles from high to low, sequencing the vehicles according to the rated load of the vehicles from low to high, sequencing the vehicles according to the vehicle numbers, and comprehensively calculating the transportation capacity.
5. The intelligent scheduling method of international logistics according to claim 1, characterized in that: in the step (3), the rule selected by the customer needs to indicate the goods delivery time, which refers to the upper and lower time windows for goods delivery, in order to meet the requirement of relieving the warehouse operating pressure, different delivery points are generally arranged to take goods in separate time periods, that is, there is a demand for the time window for taking goods for order goods, and for the customer at the delivery point, it is desirable to be able to receive the order goods within the specified time range, so there is a demand for the time window for goods delivery.
6. The intelligent scheduling method of international logistics according to claim 1, characterized in that: and (3) calculating the transport capacity of each node according to the platform interface in the step (2) to ensure the transport execution.
7. The intelligent scheduling method of international logistics according to claim 1, characterized in that: the multiple platforms in the step (5) comprise a computer pc, a mobile phone, a WeChat applet, a short message, a mail and the like, can monitor goods in real time, can read vehicle positioning information, vehicle state information, tank positioning information and tank state information, and keep the whole platform complete flow visualization, controllability, tracking and traceability.
8. The intelligent scheduling method of international logistics according to claim 1, characterized in that: in the step (4), the quotations which accord with the rules selected by the client are listed, and the characteristic points of the quotations of each participant are listed according to the rules which are regarded as important in the rules selected by the client, such as delivery time, optimal protection of delivery process and the like.
9. The intelligent scheduling method of international logistics according to claim 1, characterized in that: the quotation information comprises comprehensive score sequencing, time saving sequencing, distance saving sequencing, saving distance nearest sequencing, distance shortest sequencing and time shortest sequencing which are obtained by quotation sheets provided by all participants.
10. The intelligent scheduling method of international logistics according to claim 1, characterized in that: and (5) performing comprehensive matching according to the quotation made by the multiple participants by adopting time saving, distance saving, shortest saved distance, shortest distance and shortest time, and forming an optimal matching route and a matching mode according to a combined logistics matching mode, thereby obtaining optimal quotation information.
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| CN115759918A (en) * | 2022-08-29 | 2023-03-07 | 上海朗晖慧科技术有限公司 | Geographical position based visual manifest transaction system |
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