Disclosure of Invention
In order to solve the problem of reliability evaluation of suppliers, the application provides a supplier reliability analysis system and an analysis method, and according to various information of materials supplied by suppliers and suppliers, an evaluation model corresponding to an evaluation specification is applied to give reference to evaluation results of the reliability of the suppliers to purchasers, so that the purchasers can conveniently evaluate the reliability of the suppliers, and the comprehensiveness and objectivity of the reliability evaluation of the suppliers are improved through scientific decision.
The technical scheme of the invention is as follows:
the invention provides a supplier reliability analysis system, comprising:
the human-computer interaction interface is used for human-computer interaction;
the material information input unit is used for inputting material information;
the supplier information input unit is used for inputting supplier information;
the database is used for storing material information and supplier information;
the characteristic extraction unit is used for extracting the characteristic information of the supplier according to the material information and the supplier information;
the reliability decision model unit is used for matching a corresponding reliability decision model according to the characteristic information;
and the reliability calculation unit is used for calculating the reliability of the supplier according to the matched reliability decision model and the characteristic information.
Further preferably, the feature extraction unit is configured with a feature information entry module and a feature information extraction module; the characteristic information input module is used for a user to input characteristic information through the man-machine interaction interface, and the characteristic information extraction module is used for performing text analysis through preset characteristic points and extracting characteristic information according to an analysis result.
Further preferably, the feature information includes feature points and feature values, the feature points are used for matching with corresponding reliability decision models, and the feature values are used for calculating the reliability of the suppliers.
Further preferably, the reliability decision model unit is configured with a matching module and a plurality of reliability decision models, and the matching module is configured to match the corresponding reliability decision model according to the feature points.
Further preferably, the reliability decision model unit is further configured to feed back the matched reliability decision model to the human-computer interaction interface for selection by a user.
Preferably, the reliability calculation unit calculates the reliability of the suppliers according to the reliability decision model, the characteristic value, the matching degree, the matching number and the weight coefficient, sorts the reliability according to the sequence of the reliability, and feeds back the sorted result to the human-computer interaction interface for display.
Further preferably, the database is configured with a material data storage module, a supplier data storage module and a data index module; the material data storage module is used for storing material information, the supplier data storage module is used for storing supplier information, and the data index module is used for storing relationship data between the material information and the supplier information.
Preferably, the material information input unit comprises a data conversion module, a file reading module and a database reading and writing module; the data conversion module is used for acquiring material information of an external database and converting the data format of the material information into the data storage format of an internal database, the file reading module is used for acquiring a configuration file of the material information data, and the database reading and writing module is used for writing the material information data into the material data storage module.
Further preferably, the supplier information entry unit comprises a data conversion module, a file reading module and a database reading and writing module; the data conversion module is used for acquiring supplier information of an external database and converting the data format of the supplier information into the data storage format of an internal database, the file reading module is used for acquiring a configuration file of the supplier information data, and the database reading and writing module is used for writing the supplier information data into the supplier data storage module.
The invention also provides a supplier reliability analysis method, which comprises the following steps:
acquiring material information and supplier information;
extracting characteristic information of a supplier according to the material information and the supplier information, wherein the characteristic information comprises characteristic points and characteristic values;
matching a corresponding reliability decision model according to the feature points, and feeding back the matched reliability decision model to a user for selection;
and calculating the reliability of the supplier according to the characteristic value and the selected reliability decision model.
According to the supplier reliability analysis system and the supplier reliability analysis method, due to the cooperation of the modules, the supplier reliability evaluation can be more comprehensive, convenient and visual, the comprehensiveness and objectivity of the supplier reliability evaluation can be improved through scientific decision, and the production efficiency is further improved.
Detailed Description
The present invention will be described in further detail with reference to the following detailed description and accompanying drawings.
The first embodiment is as follows:
the present embodiment provides a supplier reliability analysis system, a schematic diagram of which is shown in fig. 1, including: the system comprises a human-computer interaction interface, a material information input unit, a supplier information input unit, a database, a feature extraction unit, a reliability decision model unit and a reliability calculation unit.
The human-computer interaction interface is used for human-computer interaction, and a user can perform corresponding supplier reliability analysis operation through the human-computer interaction interface, for example, the user inputs supplier information and material information through the human-computer interaction interface, and searches the reliability of the corresponding supplier according to the input information.
The material information input unit is used for inputting material information, for example, a user inputs corresponding material information through the material information input unit displayed in the man-machine interaction interface.
The supplier information entry unit is used for entering supplier information, for example, a user enters corresponding supplier information through the supplier information entry unit displayed in the man-machine interaction interface.
The database is used for storing material information and supplier information, and specifically, the database is configured with a material data storage module, a supplier data storage module and a data indexing module, wherein the material data storage module is used for storing the material information, the supplier data storage module is used for storing the supplier information, and the data indexing module is used for storing relationship data between the material information and the supplier information.
Furthermore, the material information input unit comprises a data conversion module, a file reading module and a database reading and writing module; the data conversion module is used for acquiring the material information of an external database and converting the data format of the material information into the data storage format of an internal database, the file reading module is used for acquiring the configuration file of the material information data, and the database reading and writing module is used for writing the material information data into the material data storage module.
For example, acquiring material information from an external database is initiated according to time set by a user on each natural day, and the data is converted into a format required by a supplier reliability weight analysis system and then written into the database; after receiving a user request sent by a human-computer interface, the material information entry unit reads a configuration file in a specified format uploaded by a user and writes data into the material data storage module.
Further, the supplier information input unit comprises a data conversion module, a file reading module and a database reading and writing module; the data conversion module is used for acquiring supplier information of an external database and converting the data format of the supplier information into the data storage format of an internal database, the file reading module is used for acquiring a configuration file of the supplier information data, and the database reading and writing module is used for writing the supplier information data into the supplier data storage module.
For example, acquiring supplier information from an external database is initiated according to time set by a user on each natural day, and the data is converted into a format required by a supplier reliability weight analysis system and then written into the database; after receiving a user request sent by a human-computer interface, the supplier information entry unit reads a configuration file in a specified format uploaded by a user and writes data into the supplier data storage module.
The feature extraction unit is used for extracting feature information of a supplier according to material information and supplier information, and further is provided with a feature information input module and a feature information extraction module, wherein the feature information input module is used for a user to input feature information through a man-machine interaction interface, and the feature information extraction module is used for performing text analysis through preset feature points and extracting feature information according to an analysis result.
The reliability decision model unit is used for matching a corresponding reliability decision model according to the characteristic information, and the reliability calculation unit is used for calculating the reliability of the supplier according to the matched reliability decision model and the characteristic information.
The characteristic information comprises characteristic points and characteristic values, the characteristic points are used for matching with corresponding reliability decision models, and the characteristic values are used for calculating the reliability of suppliers;
further, the reliability decision model unit is configured with a matching module and a plurality of reliability decision models, wherein the matching module is used for matching the corresponding reliability decision models according to the feature points, and the reliability calculation unit is used for calculating the reliability of the suppliers according to the reliability decision models, the feature values, the matching degree, the matching number and the weight coefficients, sorting according to the sequence of the reliability, and feeding back the sorting result to the human-computer interaction interface for display.
Preferably, the reliability decision model unit is further configured to feed back the matched reliability decision model to the human-computer interaction interface for selection by the user, for example, the reliability decision model unit may feed back a plurality of matched reliability decision models to the user through matching, and the user may select one of the plurality of matched reliability decision models through the human-computer interaction interface.
The following illustrates the process of supplier reliability analysis, for example.
A user inputs material information and supplier information through a man-machine interaction interface, wherein the material information is shown in the following table 1, and the supplier information is shown in the following table 2.
TABLE 1
TABLE 2
Serial number
|
Suppliers of goodsName (R)
|
Domain qualification
|
Registering funds
|
Directory of whether or not to provide a supplier
|
Whether or not to subordinate company
|
Unit of whether to fix a point
|
Additional qualification
|
1
|
Supplier A
|
Is provided with
|
Electronic device
|
Is that
|
Is that
|
Whether or not
|
Machine with a movable working part
|
2
|
Supplier B
|
Is provided with
|
Machine with a movable working part
|
Whether or not
|
Whether or not
|
Whether or not
|
In general
|
3
|
C supplier
|
Is free of
|
In general
|
Is that
|
Whether or not
|
Is that
|
/ |
The reliability decision model unit in this example comprises several reliability decision models supporting different application domains and different supplier evaluation requests, e.g. supporting electronic application domains, mechanical application domains, optical application domains, etc.
The feature extraction unit extracts supplier features according to the information in the tables 1 and 2, for example, supplier feature information such as application fields, material unit prices, inspection qualification rates, times of quality problem occurrence, supplier names, field qualifications and the like is extracted, the reliability decision model unit performs reliability decision model matching according to the extracted supplier feature information, and feeds back the matched reliability decision model to the man-machine interaction interface for user selection and confirmation, after the user selection and confirmation, the reliability calculation unit calculates the reliability of the supplier according to the confirmed reliability decision model and the feature information, and feeds back the calculation result to the man-machine interaction interface for the user to refer to, and the calculation result is shown in the following table 3 by taking the information in the tables 1 and 2 as an example.
TABLE 3
The user can intuitively obtain the reliability of the supplier a, the supplier B, and the supplier C through the recommendation results of the above table 3.
Through the supplier reliability analysis system provided by the embodiment, the supplier reliability evaluation can be more comprehensively, conveniently and intuitively presented to a decision maker. The comprehensiveness and objectivity of the reliability evaluation of the suppliers can be improved through scientific decision, and the production efficiency is further improved.
Example two:
based on the first embodiment, the present embodiment provides a supplier reliability analysis method, and a flowchart thereof is shown in fig. 2, which specifically includes the following steps.
S100: and acquiring material information and supplier information.
For example, supplier information and material information are acquired through a human-computer interaction interface, specifically, the material information is acquired from an external database at each natural day according to time set by a user, and data are converted into a format required by supplier reliability analysis and then written into the database; after receiving a user request sent by a human-computer interface, the material information entry unit reads a configuration file in a specified format uploaded by a user and writes data into the material data storage module. Similarly, acquiring supplier information from an external database according to time set by a user on each natural day, converting the data into a format required by supplier reliability analysis, and writing the format into the database; after receiving a user request sent by a human-computer interface, the supplier information entry unit reads a configuration file in a specified format uploaded by a user and writes data into the supplier data storage module.
S200: and extracting characteristic information of the supplier according to the material information and the supplier information, wherein the characteristic information comprises characteristic points and characteristic values.
For example, the characteristic information of the supplier may be: application field, material unit price, inspection qualification rate, number of quality problem occurrence times, supplier name, field qualification and the like.
S300: and matching the corresponding reliability decision model according to the characteristic points, and feeding back the matched reliability decision model to the user for selection.
The reliability decision model comprises a plurality of reliability decision models supporting different application fields and different supplier evaluation requests, for example, supporting an electronic application field, a mechanical application field, an optical application field and the like, wherein different application fields are configured with different reliability decision models.
The matching can be used for feeding back a plurality of matched reliability decision models to the user, the user can select one reliability decision model from the plurality of matched reliability decision models through the human-computer interaction interface, in addition, the user can add a new reliability decision model through the human-computer interaction interface, and the comprehensiveness and objectivity of the reliability evaluation of the supplier are further improved through selecting or adding the new reliability decision model.
S400: and calculating the reliability of the supplier according to the characteristic value and the selected reliability decision model.
Specifically, the reliability of the suppliers is calculated according to the reliability decision model, the characteristic value, the matching degree, the matching number and the weight coefficient, the suppliers are sorted according to the sequence of the reliability, and the sorting result is fed back to the human-computer interaction interface to be displayed. For example, the extracted feature points are used as matching elements, the matching degree and the matching number are multiplied by different weight coefficients to calculate the reliability weight of the supplier, and the reliability weight is sorted according to the high-low sequence of the reliability weight and the human-computer interaction interface is output for the user to refer to.
By the supplier reliability analysis method provided by the embodiment, the supplier reliability evaluation can be more comprehensively, conveniently and intuitively presented to a decision maker. The comprehensiveness and objectivity of the reliability evaluation of the suppliers can be improved through scientific decision, and the production efficiency is further improved.
The present invention has been described in terms of specific examples, which are provided to aid understanding of the invention and are not intended to be limiting. For a person skilled in the art to which the invention pertains, several simple deductions, modifications or substitutions may be made according to the idea of the invention.