CN111489253B - Logistics business activity assessment method and device - Google Patents
Logistics business activity assessment method and device Download PDFInfo
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- CN111489253B CN111489253B CN202010274531.5A CN202010274531A CN111489253B CN 111489253 B CN111489253 B CN 111489253B CN 202010274531 A CN202010274531 A CN 202010274531A CN 111489253 B CN111489253 B CN 111489253B
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Abstract
The application provides a method and a device for evaluating the activity of logistics business, which construct a path diagram corresponding to logistics route information by acquiring the logistics route information of a logistics company and the vehicle information of the logistics company. And determining a weight value of each side in the path diagram according to the vehicle operation condition on the object flow path to obtain a weighted diagram. Based on the weight of each side of the path diagram and the length of each side in the path diagram, calculating a busy index of the path diagram, and using the busy index to represent the activity of the logistics business of the logistics company, the method can effectively evaluate the activity of the logistics business of the logistics company. The method solves the problems that the physical distribution business activity of the physical distribution company cannot be accurately mastered, the actual operation condition of the physical distribution company is judged only according to information such as financial information, the accuracy of the obtained actual operation condition of the physical distribution company is insufficient, and the accuracy of credit rating is affected.
Description
Technical Field
The application relates to the technical field of graphic modeling, in particular to a method and a device for evaluating the activity of logistics business.
Background
When a bank receives a loan application from a logistics company, the bank generally needs to rate the credit of the logistics company. When the bank performs credit rating on enterprises, the financial, enterprise management layer quality, debt repayment capability, industry and other aspects are considered for performing credit rating. A determination is then made as to whether to issue a loan to the logistics company based on the corporate credit rating.
However, it is not reliable enough to rate the credit of the logistics company by the management layer information and the like based on the financial information provided by the logistics company, because the logistics company may falsify the financial information, the company operation information and the like. Meanwhile, the actual running condition of the logistics company is not effectively evaluated, so that the activity of the logistics business of the logistics company, namely the actual operation condition of the company, cannot be accurately mastered. Therefore, the actual operation condition of the logistics company is judged only according to the information such as the financial information, and the accuracy of the obtained actual operation condition of the logistics company is insufficient, so that the accuracy of the credit rating is affected.
Disclosure of Invention
In view of the above, the application provides a method and a device for evaluating the activity of a logistics business, which realize an effective evaluation of the activity of the logistics business of a logistics company, so as to solve the problems that the activity of the logistics business of the logistics company cannot be accurately mastered, the actual operation condition of the logistics company is judged only according to information such as financial information, and the accuracy of the obtained actual operation condition of the logistics company is insufficient, and the accuracy of credit rating is affected.
In order to achieve the above purpose, the present application provides the following technical solutions:
the first aspect of the present application provides a method for evaluating activity of a logistics service, including:
obtaining logistics route information of a logistics company and vehicle information of the logistics company; the vehicle information comprises position information of a vehicle and load information of the vehicle, and the logistics route information is used for describing a plurality of logistics routes of the logistics company;
constructing a path diagram corresponding to the logistics route information; wherein each edge in the path diagram corresponds to one of the logistics routes; the length of each side in the path diagram is calculated by the length of a corresponding logistics route;
determining a weight of each edge in the path diagram based on the vehicle information; the weight is used for representing the vehicle operation condition on the logistics route corresponding to each side in the path diagram;
calculating a busy index of the path diagram based on the weight of each edge of the path diagram and the length of each edge in the path diagram; the busyness index is used for indicating the activity of logistics business of the logistics company.
Optionally, in the above method, the determining, based on the vehicle information, a weight of each edge in the path graph includes:
calculating the number of vehicles on each object flow path according to the position information of the vehicles;
and setting the number of the vehicles on each object flow path as the weight of each corresponding edge in the path diagram.
Optionally, in the above method, the number of vehicles on each object flow path is calculated according to the position information of the vehicles;
calculating the weight of the vehicle on each object flow path according to the load information of the vehicle and the position information of the vehicle;
and multiplying the number of the vehicles and the weight of the vehicles respectively for each logistics route to obtain the weight of each side in the path diagram.
Optionally, in the above method, the calculating, based on the weight of each edge of the path graph and the length of each edge in the path graph, a busy index of the path graph includes:
for each edge in the path diagram, calculating the product of the weight and the length of the edge to obtain a result value;
and summing the result values of all the edges in the path diagram to obtain the busy index of the path diagram.
Optionally, in the above method, after calculating the busy index of the path diagram based on the weight of each edge of the path diagram and the length of each edge in the path diagram, the method further includes:
and carrying out credit rating on the logistics company by utilizing the busy index and enterprise information of the logistics company.
Optionally, in the above method, after calculating the busy index of the path diagram based on the weight of each edge of the path diagram and the length of each edge in the path diagram, the method further includes:
and if the busy index is lower than a preset threshold value, prompting early warning information.
The second aspect of the present application provides an evaluation device for activity of logistics business, including:
the system comprises an acquisition unit, a control unit and a control unit, wherein the acquisition unit is used for acquiring logistics route information of a logistics company and vehicle information of the logistics company; the vehicle information comprises position information of a vehicle and load information of the vehicle, and the logistics route information is used for describing a plurality of logistics routes of the logistics company;
the construction unit is used for constructing a path diagram corresponding to the logistics route information; wherein each edge in the path diagram corresponds to one of the logistics routes; the length of each side in the path diagram is calculated by the length of a corresponding logistics route;
a determining unit configured to determine a weight of each edge in the path graph based on the vehicle information; the weight is used for representing the vehicle operation condition on the logistics route corresponding to each side in the path diagram;
the calculating unit is used for calculating a busy index of the path diagram based on the weight of each edge of the path diagram and the length of each edge in the path diagram; the busyness index is used for indicating the activity of logistics business of the logistics company.
Optionally, in the foregoing apparatus, the determining unit includes:
a first calculation subunit configured to calculate, according to position information of the vehicles, the number of the vehicles on each of the object flow lines;
and the setting subunit is used for setting the number of the vehicles on each object flow path as the weight of each corresponding edge in the path diagram.
Optionally, in the foregoing apparatus, the determining unit includes:
a second calculation subunit configured to calculate, based on the position information of the vehicles, the number of the vehicles on each of the object flow lines;
a third calculation subunit configured to calculate a weight of the vehicle on each of the object flow lines according to load information of the vehicle and position information of the vehicle;
and the fourth calculation subunit is used for multiplying the number of the vehicles and the weight of the vehicles for each logistics route to obtain the weight of each side in the path diagram.
Optionally, in the foregoing apparatus, the computing unit includes:
a fifth calculating subunit, configured to calculate, for each edge in the path diagram, a product of a weight value and a length of the edge, to obtain a result value;
and a sixth calculating subunit, configured to sum the result values of all the edges in the path graph to obtain a busy index of the path graph.
Optionally, the above device further includes:
and the credit rating unit is used for rating the credit of the logistics company by utilizing the busy index and the enterprise information of the logistics company.
Optionally, the above device further includes:
and the prompting unit is used for prompting the early warning information if the busy index is lower than a preset threshold value.
According to the technical scheme, the method for evaluating the activity of the logistics business constructs the path diagram corresponding to the logistics route information by acquiring the logistics route information of the logistics company and the vehicle information of the logistics company. And determining a weight value of each side in the path diagram according to the vehicle operation condition on the object flow path to obtain a weighted diagram. And calculating a busy index of the path diagram based on the weight of each side of the path diagram and the length of each side of the path diagram, and indicating the activity of the logistics business of the logistics company by using the busy index. Therefore, the method can realize effective evaluation of the logistics business activity of the logistics company, so as to solve the problems that the logistics business activity of the logistics company cannot be accurately mastered, the actual operation condition of the logistics company is judged only according to information such as financial information, and the accuracy of the obtained actual operation condition of the logistics company is insufficient and the accuracy of credit rating is affected.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings that are required to be used in the embodiments or the description of the prior art will be briefly described below, and it is obvious that the drawings in the following description are only embodiments of the present application, and that other drawings can be obtained according to the provided drawings without inventive effort for a person skilled in the art.
Fig. 1 is a flowchart of a method for evaluating activity of a logistics service according to an embodiment of the present application;
FIG. 2 is a flow chart of one implementation of step S103 disclosed in another embodiment of the present application;
FIG. 3 is a flow chart of another implementation of step S103 disclosed in another embodiment of the present application;
fig. 4 is a schematic diagram of an evaluation device for activity of a logistics service according to an embodiment of the present application.
Detailed Description
The following description of the embodiments of the present application will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present application, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the application without making any inventive effort, are intended to be within the scope of the application.
In the present disclosure, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.
Moreover, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions.
As known from the background art, when a bank performs credit rating on a logistics company, it is not reliable enough to perform enterprise credit rating on the logistics company only according to financial information provided by the logistics company, management layer information and the like, because the logistics company may falsify information such as financial information and company operation information. Meanwhile, the actual running condition of the logistics company is not effectively evaluated, so that the activity of the logistics business of the logistics company, namely the actual operation condition of the company, cannot be accurately mastered.
Based on the above, the application provides a method and a device for evaluating the activity of the logistics business, which realize the effective evaluation of the activity of the logistics business of the logistics company, so as to solve the problems that the activity of the logistics business of the logistics company cannot be accurately mastered, the actual operation condition of the logistics company is judged only according to information such as financial information, and the accuracy of the obtained actual operation condition of the logistics company is insufficient, and the accuracy of credit rating is affected.
The embodiment of the application provides a method for evaluating the activity of logistics business, which is shown in fig. 1, and specifically comprises the following steps:
s101, acquiring logistics route information of a logistics company and vehicle information of the logistics company; the vehicle information comprises position information of the vehicle and loading information of the vehicle, and the logistics route information is used for describing a plurality of logistics routes of a logistics company.
The actual logistics route of the logistics company and the position information of each logistics vehicle of the logistics company are obtained by using a global positioning system (Global Positioning System, GPS). And simultaneously acquiring the loading information of each logistics vehicle from logistics information provided by a logistics company.
S102, constructing a path diagram corresponding to the logistics route information; wherein each edge in the path diagram corresponds to a logistics route; the length of each side in the path diagram is calculated from the length of a corresponding logistics route.
The obtained actual logistics route of the logistics company is subjected to graphic modeling by using a network graph theory method, and a path diagram corresponding to the actual logistics route of the logistics company is obtained. Each side in the path diagram corresponds to one logistics route, and the length of each side in the path diagram is calculated by the length of the corresponding logistics route according to a set conversion ratio (such as 10000:1).
S103, determining the weight of each edge in the path diagram based on the vehicle information; the weight is used for representing the vehicle operation condition on the object flow path corresponding to each side in the path diagram.
After the path diagram is obtained by performing the graphic modeling, the weight of each side in the path diagram may be calculated according to the obtained vehicle position information or the obtained load information of the vehicle, so as to form a weighted diagram. The weight is used for representing the vehicle operation condition on the object flow path corresponding to each side in the path diagram.
Optionally, in another embodiment of the present application, another implementation of step S103, referring to fig. 2, specifically includes:
s201, calculating the number of vehicles on each logistics route according to the position information of the vehicles.
The position information of each logistics vehicle of the logistics company can be obtained by using the GPS technology, and the total number of logistics vehicles on each logistics flow line is calculated by using the position information.
S202, setting the number of vehicles on each logistics route as the weight of each corresponding edge in the path diagram.
It should be noted that, the total number of the logistics vehicles on each logistics route is set as the weight of each corresponding edge in the path diagram. Therefore, the larger the total number of logistics vehicles on one logistics route is, the larger the weight of one side on the corresponding path diagram is, and the better the vehicle operation condition on the logistics route is.
Optionally, in another embodiment of the present application, another implementation of step S103, referring to fig. 3, specifically includes:
s301, calculating the number of vehicles on each logistics route according to the position information of the vehicles.
S302, calculating the weight of the vehicle on each object flow path according to the load information of the vehicle and the position information of the vehicle.
It should be noted that, the position information of each logistics vehicle of the logistics company can be obtained by using the GPS technology, the logistics vehicles in the same logistics route are determined by using the position information, and then the total weight of the logistics vehicles in the same logistics route is calculated according to the load information of each logistics vehicle.
S303, multiplying the number of vehicles and the weight of the vehicles according to each logistics route to obtain the weight of each side in the path diagram.
It should be noted that, for each logistics route, a product of the total number of logistics vehicles and the total weight of the logistics vehicles on the same logistics route is calculated, and the product is used as the weight of the corresponding side in the path diagram until the weight of each side is calculated. Therefore, the larger the product of the total number of the logistics vehicles on one logistics route and the total weight of the logistics vehicles, the larger the weight of one side on the corresponding path diagram is, which means that the better the vehicle operation condition on the logistics route is.
S104, calculating a busy index of the path diagram based on the weight of each edge of the path diagram and the length of each edge in the path diagram; wherein, busy index is used for showing logistics business liveness of logistics company.
The weight and the length of each edge in the path diagram are calculated according to a set algorithm to obtain a busy index of the path diagram, wherein the busy index can be used for indicating the activity of the logistics business of the logistics company, and the larger the busy index is, the higher the activity of the logistics business of the logistics company is.
Optionally, in another embodiment of the present application, another implementation of step S104 specifically includes:
and respectively calculating the product of the weight and the length of each edge in the path diagram to obtain a result value.
And summing the result values of all the edges in the path diagram to obtain the busy index of the path diagram.
In the method for evaluating the activity of the logistics business, which is provided by the embodiment of the application, the route diagram corresponding to the logistics route information is constructed by acquiring the logistics route information of the logistics company and the vehicle information of the logistics company. And determining a weight value of each side in the path diagram according to the vehicle operation condition on the object flow path to obtain a weighted diagram. And calculating a busy index of the path diagram based on the weight of each side of the path diagram and the length of each side of the path diagram, and indicating the activity of the logistics business of the logistics company by using the busy index. Therefore, the method can realize effective evaluation of the logistics business activity of the logistics company, so as to solve the problems that the logistics business activity of the logistics company cannot be accurately mastered, the actual operation condition of the logistics company is judged only according to information such as financial information, and the accuracy of the obtained actual operation condition of the logistics company is insufficient and the accuracy of credit rating is affected.
Optionally, in another embodiment of the present application, in the method for evaluating the activity of a logistic service, after executing step S104, the method may further include:
and carrying out credit rating on the logistics company by using the busy index and the enterprise information of the logistics company.
It should be noted that, the busy index may reflect the current activity of the logistics business of the logistics company, that is, may reflect the actual operating situation. Therefore, the busyness index and the enterprise information of the logistics company, such as financial information, enterprise management layer information, repayment capacity, industry information and the like, can be utilized to comprehensively carry out more accurate credit rating on the logistics company, and the problem that the actual operation condition of the logistics company is hidden by the logistics company by utilizing the faking information is effectively avoided, so that the accuracy of the credit rating of the logistics company by a bank is insufficient.
Optionally, in another embodiment of the present application, in the method for evaluating the activity of a logistic service, after executing step S104, the method may further include:
if the busy index is lower than a preset threshold value, prompting early warning information.
It should be noted that, after the bank performs credit rating on the logistics company, the bank can also acquire the busy index of the logistics company in real time. When the bank calculates the busyness index of the logistics company, a threshold value can be set, and when the busyness index is smaller than the threshold value, the busyness index indicates that the logistics business activity of the logistics company is low, and the actual operation condition is poor. Therefore, when the busy index is smaller than the threshold value, the bank system is prompted with early warning information to remind the bank of carrying out credit rating on the logistics company again.
Another embodiment of the present application further provides an apparatus for evaluating activity of a logistics service, as shown in fig. 4, which specifically includes:
an acquiring unit 401, configured to acquire logistics route information of a logistics company and vehicle information of the logistics company; the vehicle information comprises position information of the vehicle and loading information of the vehicle, and the logistics route information is used for describing a plurality of logistics routes of a logistics company.
A construction unit 402, configured to construct a path diagram corresponding to the logistics route information; wherein each edge in the path diagram corresponds to a logistics route; the length of each side in the path diagram is calculated from the length of a corresponding logistics route.
A determining unit 403 for determining a weight value of each side in the path diagram based on the vehicle information; the weight is used for representing the vehicle operation condition on the object flow path corresponding to each side in the path diagram.
A calculating unit 404, configured to calculate a busy index of the path diagram based on the weight of each edge of the path diagram and the length of each edge in the path diagram; wherein, busy index is used for showing logistics business liveness of logistics company.
In the evaluation device for the activity of the logistics business, the acquisition unit 401 acquires the logistics route information of the logistics company and the vehicle information of the logistics company, and the construction unit 402 constructs the path diagram corresponding to the logistics route information. The determining unit 403 determines the weight value of each edge in the path diagram according to the vehicle operation condition on the object path, and obtains a weighted diagram. The calculating unit 404 calculates a busy index of the path diagram based on the weight of each side of the path diagram and the length of each side of the path diagram, and indicates the activity of the logistics business of the logistics company by using the busy index. Therefore, the method can realize effective evaluation of the logistics business activity of the logistics company, so as to solve the problems that the logistics business activity of the logistics company cannot be accurately mastered, the actual operation condition of the logistics company is judged only according to information such as financial information, and the accuracy of the obtained actual operation condition of the logistics company is insufficient and the accuracy of credit rating is affected.
In this embodiment, the specific execution process of the obtaining unit 401, the constructing unit 402, the determining unit 403, and the calculating unit 404 may refer to the content of the method embodiment corresponding to fig. 1, and will not be described herein.
Alternatively, in another embodiment of the present application, the determining unit 403 includes:
and the first calculating subunit is used for calculating the number of the vehicles on each logistics route according to the position information of the vehicles.
And the setting subunit is used for setting the number of vehicles on each logistics route as the weight value of each corresponding edge in the path diagram.
In this embodiment, the specific execution process of the first computing subunit and the setting subunit may refer to the content of the method embodiment corresponding to fig. 2, which is not described herein again.
Alternatively, in another embodiment of the present application, the determining unit 403 includes:
and the second calculating subunit is used for calculating the number of the vehicles on each logistics route according to the position information of the vehicles.
And the third calculating subunit is used for calculating the weight of the vehicle on each object flow path according to the load information of the vehicle and the position information of the vehicle.
And the fourth calculation subunit is used for multiplying the number of the vehicles and the weight of the vehicles respectively aiming at each logistics route to obtain the weight of each side in the path diagram.
In this embodiment, the specific execution process of the second computing subunit, the third computing subunit, and the fourth computing subunit may refer to the content of the method embodiment corresponding to fig. 3, which is not described herein again.
Alternatively, in another embodiment of the present application, the calculating unit 404 includes:
and a fifth calculating subunit, configured to calculate, for each edge in the path diagram, a product of the weight and the length of the edge, respectively, to obtain a result value.
And a sixth calculating subunit, configured to sum the result values of all the edges in the path graph to obtain a busy index of the path graph.
In this embodiment, the specific execution process of the fifth computing subunit and the sixth computing subunit may refer to the content corresponding to the foregoing method embodiment, which is not described herein again.
Optionally, in another embodiment of the present application, the above-mentioned evaluation device for activity of logistics business may further include:
and the credit rating unit is used for rating the credit of the logistics company by utilizing the busy index and the enterprise information of the logistics company.
In this embodiment, the specific execution process of the credit rating unit may refer to the content corresponding to the above method embodiment, which is not described herein again.
Optionally, in another embodiment of the present application, the above-mentioned evaluation device for activity of logistics business may further include:
and the prompting unit is used for prompting the early warning information if the busy index is lower than a preset threshold value.
In this embodiment, the specific execution process of the prompting unit may refer to the content corresponding to the above method embodiment, which is not described herein again.
In this specification, each embodiment is described in a progressive manner, and identical and similar parts of each embodiment are all referred to each other, and each embodiment mainly describes differences from other embodiments. In particular, for a system or system embodiment, since it is substantially similar to a method embodiment, the description is relatively simple, with reference to the description of the method embodiment being made in part. The systems and system embodiments described above are merely illustrative, wherein the elements illustrated as separate elements may or may not be physically separate, and the elements shown as elements may or may not be physical elements, may be located in one place, or may be distributed over a plurality of network elements. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment. Those of ordinary skill in the art will understand and implement the present application without undue burden.
Those of skill would further appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, computer software, or combinations of both, and that the various illustrative elements and steps are described above generally in terms of functionality in order to clearly illustrate the interchangeability of hardware and software. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application.
The previous description of the disclosed embodiments is provided to enable any person skilled in the art to make or use the present application. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the application. Thus, the present application is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
Claims (9)
1. The method for evaluating the activity of the logistics business is characterized by comprising the following steps of:
obtaining logistics route information of a logistics company and vehicle information of the logistics company; the vehicle information comprises position information of a vehicle and load information of the vehicle, and the logistics route information is used for describing a plurality of logistics routes of the logistics company;
constructing a path diagram corresponding to the logistics route information; wherein each edge in the path diagram corresponds to one of the logistics routes; the length of each side in the path diagram is calculated by the length of a corresponding logistics route;
determining a weight of each edge in the path diagram based on the vehicle information; the weight is used for representing the vehicle operation condition on the logistics route corresponding to each side in the path diagram;
calculating a busy index of the path diagram based on the weight of each edge of the path diagram and the length of each edge in the path diagram; the busyness index is used for indicating the activity of logistics business of the logistics company;
and carrying out credit rating on the logistics company by utilizing the busy index and enterprise information of the logistics company.
2. The method of claim 1, wherein determining weights for each edge in the path graph based on the vehicle information comprises:
calculating the number of vehicles on each object flow path according to the position information of the vehicles;
and setting the number of the vehicles on each object flow path as the weight of each corresponding edge in the path diagram.
3. The method of claim 1, wherein determining weights for each edge in the path graph based on the vehicle information comprises:
calculating the number of vehicles on each object flow path according to the position information of the vehicles;
calculating the weight of the vehicle on each object flow path according to the load information of the vehicle and the position information of the vehicle;
and multiplying the number of the vehicles and the weight of the vehicles respectively for each logistics route to obtain the weight of each side in the path diagram.
4. The method of claim 1, wherein the calculating the busyness index of the path graph based on the weight of each edge of the path graph and the length of each edge in the path graph comprises:
for each edge in the path diagram, calculating the product of the weight and the length of the edge to obtain a result value;
and summing the result values of all the edges in the path diagram to obtain the busy index of the path diagram.
5. The method according to claim 1, wherein after calculating the busyness index of the path graph based on the weight of each edge of the path graph and the length of each edge in the path graph, the method further comprises:
and if the busy index is lower than a preset threshold value, prompting early warning information.
6. An evaluation device for activity of logistics business, which is characterized by comprising:
the system comprises an acquisition unit, a control unit and a control unit, wherein the acquisition unit is used for acquiring logistics route information of a logistics company and vehicle information of the logistics company; the vehicle information comprises position information of a vehicle and load information of the vehicle, and the logistics route information is used for describing a plurality of logistics routes of the logistics company;
the construction unit is used for constructing a path diagram corresponding to the logistics route information; wherein each edge in the path diagram corresponds to one of the logistics routes; the length of each side in the path diagram is calculated by the length of a corresponding logistics route;
a determining unit configured to determine a weight of each edge in the path graph based on the vehicle information; the weight is used for representing the vehicle operation condition on the logistics route corresponding to each side in the path diagram;
the calculating unit is used for calculating a busy index of the path diagram based on the weight of each edge of the path diagram and the length of each edge in the path diagram; the busyness index is used for indicating the activity of logistics business of the logistics company;
and the credit rating unit is used for rating the credit of the logistics company by utilizing the busy index and the enterprise information of the logistics company.
7. The apparatus according to claim 6, wherein the determining unit includes:
a first calculation subunit configured to calculate, according to position information of the vehicles, the number of the vehicles on each of the object flow lines;
and the setting subunit is used for setting the number of the vehicles on each object flow path as the weight of each corresponding edge in the path diagram.
8. The apparatus according to claim 6, wherein the determining unit includes:
a second calculation subunit configured to calculate, based on the position information of the vehicles, the number of the vehicles on each of the object flow lines;
a third calculation subunit configured to calculate a weight of the vehicle on each of the object flow lines according to load information of the vehicle and position information of the vehicle;
and the fourth calculation subunit is used for multiplying the number of the vehicles and the weight of the vehicles for each logistics route to obtain the weight of each side in the path diagram.
9. The apparatus of claim 6, wherein the computing unit comprises:
a fifth calculating subunit, configured to calculate, for each edge in the path diagram, a product of a weight value and a length of the edge, to obtain a result value;
and a sixth calculating subunit, configured to sum the result values of all the edges in the path graph to obtain a busy index of the path graph.
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Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102184480A (en) * | 2011-05-13 | 2011-09-14 | 山东朗进通信有限公司 | Operation system for aggregate utility analysis of logistics information and configured equipment of operation system |
| CN104766188A (en) * | 2014-01-02 | 2015-07-08 | 中国移动通信集团江苏有限公司 | Logistics distribution method and logistics distribution system |
| CN105719117A (en) * | 2016-01-21 | 2016-06-29 | 华南师范大学 | Collaborative logistics scheduling method and collaborative logistics scheduling system based on graph theory |
| CN105719118A (en) * | 2016-01-21 | 2016-06-29 | 华南师范大学 | Multi-target logistics dispatching method and system based on graph theory |
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| JP6572672B2 (en) * | 2015-08-12 | 2019-09-11 | 富士通株式会社 | Route graph generation method, apparatus, and program |
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Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102184480A (en) * | 2011-05-13 | 2011-09-14 | 山东朗进通信有限公司 | Operation system for aggregate utility analysis of logistics information and configured equipment of operation system |
| CN104766188A (en) * | 2014-01-02 | 2015-07-08 | 中国移动通信集团江苏有限公司 | Logistics distribution method and logistics distribution system |
| CN105719117A (en) * | 2016-01-21 | 2016-06-29 | 华南师范大学 | Collaborative logistics scheduling method and collaborative logistics scheduling system based on graph theory |
| CN105719118A (en) * | 2016-01-21 | 2016-06-29 | 华南师范大学 | Multi-target logistics dispatching method and system based on graph theory |
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