CN116911685A - Government engineering whole process engineering consultation performance evaluation system - Google Patents
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Abstract
The invention discloses a government engineering whole process engineering consultation performance evaluation system, which relates to the technical field of polling performance evaluation and comprises a performance index input unit and a personal information input unit, wherein the performance index input unit is used for inputting first-level indexes and second-level indexes manually and transmitting the input performance indexes to a performance index management unit, and the performance index management unit is used for receiving data sent by the performance index input unit, displaying the received performance indexes, giving different weights to different performance indexes and transmitting the index data and the different weights to a data storage unit. The invention can evaluate the quality and effect of the engineering consultation objectively and comprehensively by the comprehensive evaluation unit, and can evaluate strictly by the evaluation index and standard, thereby promoting the consultation organization and the consultation team to provide better service.
Description
Technical Field
The invention relates to the technical field of polling performance evaluation, in particular to a system for evaluating consultation performance of an overall process engineering of government engineering.
Background
The whole process engineering consultation of government engineering refers to providing consultation services covering the whole project life cycle by professional consultation institutions or consultation teams in major engineering projects of government investment, wherein the consultation services relate to each stage of planning, design, construction, supervision, operation and the like of the engineering projects;
if the whole process engineering consultation of government engineering does not have an evaluation system, objective evaluation of services of consultation institutions or consultation teams cannot be performed, which may cause uneven service quality, difficulty in determining whether to meet requirements and expectations, and lack of an evaluation system may reduce industrial competitiveness, and in the absence of an evaluation system, government departments often can only select consultation service providers through experience or subjective judgment, and cannot perform more targeted selection based on objective evaluation.
Disclosure of Invention
The invention aims to provide a government engineering whole process engineering consultation performance evaluation system for solving the problems in the background technology.
In order to achieve the above purpose, the present invention provides the following technical solutions: the system comprises a performance index input unit, a personal information input unit, a performance index management unit, a personal information management unit, a data storage unit, a data management unit, a basic information management unit, a comprehensive evaluation unit, a cluster analysis unit, a basic information input unit, a performance query unit and an evaluation result interface unit;
the performance index input unit inputs the primary index and the secondary index manually and transmits the input performance index to the performance index management unit;
the performance index management unit receives the data sent by the performance index input unit, displays the received performance indexes, assigns different weights to different performance indexes, and transmits the index data and the assigned different weights to the data storage unit.
Preferably, the personal information input unit inputs personal information by manpower, wherein the personal information comprises names, positions, contact ways, educational experiences, qualification certificates and photos, and transmits the input personal information to the personal information management unit, and the personal information management unit receives the personal information sent by the personal information input unit, displays the received personal information, provides an interface for modifying the personal information, and transmits the received personal information to the data storage unit.
Preferably, the basic information input unit inputs the administrator information, the staff information and the department information manually, wherein the administrator information comprises personal information of an administrator, personal information of a staff managed by the administrator and department information managed by the administrator, the staff information comprises personal information of the staff, departments to which the staff belongs and personal information of the staff, the department information comprises personnel responsible for the departments, personal information of the staff in the administrators and all the staff in the departments, and the basic information is transmitted to the basic information management unit, and the basic information management unit receives data sent by the basic information input unit, displays the received administrator information, staff information and department information and transmits the basic information to the data storage unit.
Preferably, the data storage unit receives data sent by the performance index management unit, the personal information management unit and the basic information management unit, stores the received data in a database, transmits the received data to the data management unit, and the data management unit receives the data sent by the data storage unit, integrates and correlates the received data, and transmits the integrated and correlated data to the comprehensive evaluation unit and the cluster analysis unit respectively.
Preferably, the first level index includes consulting service quality, professional ability and project goal realization condition, and the second level index includes professional H of consulting service 1 Accuracy H of advisory services 2 Feasibility H of advisory services 3 Comprehensive H of counseling service 4 Project quality H 5 Project target progress H 6 Project objective cost H 7 Product quality H 8 And product use effect H 9 。
Preferably, the comprehensive evaluation unit receives the data sent by the data management unit, and establishes an evaluation matrix R according to the second-level index, where the evaluation matrix R specifically is:
and according to different weights assigned by the performance index management unit, a weight matrix W of the secondary index is established, wherein the weight matrix W is specifically:
calculating an evaluation set S according to the evaluation matrix R and the weight matrix W, wherein the evaluation set S specifically comprises:
calculating an evaluation value E according to the evaluation set S, wherein the evaluation value E is specifically:
E=(E 1 E 2 E 3 )
E 1 =S 11 ·1+S 12 ·2+S 13 ·3
E 2 =S 21 ·1+S 22 ·2+S 23 ·3
E 3 =S 31 ·1+S 32 ·2+S 33 ·3
and transmitting the calculated evaluation value E to a cluster analysis unit and a performance query unit respectively.
Preferably, the cluster analysis unit receives the data sent by the data management unit and the evaluation value sent by the comprehensive evaluation unit, analyzes the evaluation result by using a K-means clustering algorithm according to the calculated evaluation value, sets k=4 to be four grades of excellent, good and medium and poor according to the actual condition of performance evaluation, the performance query unit receives the evaluation value and the evaluation grade sent by the comprehensive evaluation unit and the cluster analysis unit, queries the evaluation value and the evaluation grade according to query conditions, and transmits the queried evaluation value and evaluation grade to an evaluation result interface unit, and the evaluation result interface unit receives the evaluation value and the evaluation grade sent by the performance query unit and displays the evaluation result in a chart form through a display screen.
Preferably, the comprehensive evaluation unit comprises a data receiving module, an evaluation value calculating module and a data transmission module, wherein the data receiving module receives the data sent by the data management unit, the evaluation value calculating module calculates the evaluation value according to the different weights given by the secondary index and the performance index management unit, and the data transmission module transmits the calculated evaluation value to the cluster analysis unit and the performance query unit respectively.
Preferably, the performance index management unit includes a performance index display module and an index weight assignment module, the performance index display module displays the primary index and the secondary index, and the index weight assignment module assigns different weights to different performance indexes.
Preferably, the basic information management unit includes a basic information display module and an information transmission module, the basic information display module displays the administrator information, the staff information and the department information, and the information transmission module transmits the basic information to the data storage unit.
Compared with the prior art, the invention has the beneficial effects that:
the invention can evaluate the quality and effect of the engineering consultation objectively and comprehensively by the comprehensive evaluation unit, can evaluate strictly by the evaluation index and standard, thereby promoting the consultation organization and the consultation team to provide better service, improve and perfect work continuously, and can establish an evaluation system, thereby forming a set of standard and system, facilitating the tracking and checking of each link of the engineering consultation, being beneficial to improving the transparency and standardability and reducing the potential risks and loopholes.
Drawings
FIG. 1 is a flow chart of an overall system provided in an embodiment of the present invention;
FIG. 2 is an internal block diagram of the comprehensive evaluation unit according to the embodiment of the present invention;
fig. 3 is an internal block diagram of a performance indicator management unit according to an embodiment of the present invention;
fig. 4 is an internal block diagram of a basic information management unit according to an embodiment of the present invention.
In the figure: 1. a performance index input unit; 2. a personal information input unit; 3. a performance index management unit; 301. a performance index display module; 302. the index weight assignment module; 4. a personal information management unit; 5. a data storage unit; 6. a data management unit; 7. a basic information management unit; 701. a basic information display module; 702. an information transmission module; 8. a comprehensive evaluation unit; 801. a data receiving module; 802. an evaluation value calculation module; 803. a data transmission module; 9. a cluster analysis unit; 10. a basic information input unit; 11. performance query unit; 12. and an evaluation result interface unit.
Detailed Description
The following description of the embodiments of the present invention 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 invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Referring to fig. 1-4, the present invention provides a technical solution: the system comprises a performance index input unit 1, a personal information input unit 2, a performance index management unit 3, a personal information management unit 4, a data storage unit 5, a data management unit 6, a basic information management unit 7, a comprehensive evaluation unit 8, a cluster analysis unit 9, a basic information input unit 10, a performance query unit 11 and an evaluation result interface unit 12;
the performance index input unit 1 inputs the primary index and the secondary index manually, and transmits the input performance index to the performance index management unit 3;
the performance index management unit 3 receives the data sent by the performance index input unit 1, displays the received performance indexes, assigns different weights to different performance indexes, and transmits the index data and the assigned different weights to the data storage unit 5.
The personal information input unit 2 inputs personal information by manpower, wherein the personal information comprises names, positions, contact ways, education experiences, qualification certificates and photos, and transmits the input personal information to the personal information management unit 4, the personal information management unit 4 receives the personal information sent by the personal information input unit 2, displays the received personal information, provides an interface for modifying the personal information, and transmits the received personal information to the data storage unit 5;
the basic information input unit 10 inputs manager information, staff information and department information by manual work, wherein the manager information comprises personal information of a manager, personal information of staff managed by the manager and department information managed by the manager, the staff information comprises personal information of the staff, departments to which the staff belongs and personal information of the staff, the department information comprises work responsible for the departments, the staff of the departments and personal information of all the staff in the departments, and the basic information is transmitted to the basic information management unit 7, the basic information management unit 7 receives data sent by the basic information input unit 10, displays the received manager information, staff information and department information, and transmits the basic information to the data storage unit 5, and the basic information input system is input through the basic information input unit 10;
the data storage unit 5 receives the data sent by the performance index management unit 3, the personal information management unit 4 and the basic information management unit 7, stores the received data in a database, and transmits the received data to the data management unit 6, the data management unit 6 receives the data sent by the data storage unit 5, integrates and correlates the received data, and transmits the integrated and correlated data to the comprehensive evaluation unit 8 and the cluster analysis unit 9 respectively, and the data is stored by the data storage unit 5;
the first level index comprises the consulting service quality, the professional ability and the project target realization condition, and the second level index comprises the professional H of the consulting service 1 Accuracy H of advisory services 2 Feasibility H of advisory services 3 Comprehensive H of counseling service 4 Project quality H 5 Project target progress H 6 Project objective cost H 7 Product quality H 8 And product use effect H 9 ;
The comprehensive evaluation unit 8 receives the data sent by the data management unit 6, and establishes an evaluation matrix R according to the secondary index, where the evaluation matrix R specifically is:
and according to different weights assigned by the performance index management unit 3, a weight matrix W of the secondary index is established, wherein the weight matrix W is specifically:
calculating an evaluation set S according to the evaluation matrix R and the weight matrix W, wherein the evaluation set S specifically comprises:
calculating an evaluation value E according to the evaluation set S, wherein the evaluation value E is specifically:
E=(E 1 E 2 E 3 )
E 1 =S 11 ·1+S 12 ·2+S 13 ·3
E 2 =S 21 ·1+S 22 ·2+S 23 ·3
E 3 =S 31 ·1+S 32 ·2+S 33 ·3
the calculated evaluation value E is respectively transmitted to a cluster analysis unit 9 and a performance query unit 11, and the evaluation value E is calculated through a comprehensive evaluation unit 8;
the cluster analysis unit 9 receives the data sent by the data management unit 6 and the evaluation value sent by the comprehensive evaluation unit 8, analyzes the evaluation result by using a K-means clustering algorithm according to the calculated evaluation value, sets K=4 to be four grades of excellent, good and medium and poor according to the actual condition of performance evaluation, the performance query unit 11 receives the evaluation value and the evaluation grade sent by the comprehensive evaluation unit 8 and the cluster analysis unit 9, queries the evaluation value and the evaluation grade according to the query condition, transmits the queried evaluation value and evaluation grade to the evaluation result interface unit 12, receives the evaluation value and the evaluation grade sent by the performance query unit 11, displays the evaluation result in a graph form through a display screen, and carries out evaluation grade division according to the evaluation value E through the cluster analysis unit 9;
the comprehensive evaluation unit 8 comprises a data receiving module 801, an evaluation value calculating module 802 and a data transmission module 803, wherein the data receiving module 801 receives data sent by the data management unit 6, the evaluation value calculating module 802 calculates evaluation values according to different weights given by the secondary index and performance index management unit 3, and the data transmission module 803 respectively transmits the calculated evaluation values to the cluster analysis unit 9 and the performance query unit 11;
the performance index management unit 3 comprises a performance index display module 301 and an index weight assignment module 302, wherein the performance index display module 301 displays primary indexes and secondary indexes, and the index weight assignment module 302 assigns different weights for different performance indexes;
the basic information management unit 7 includes a basic information display module 701 and an information transmission module 302, the basic information display module 701 displaying administrator information, staff information, and department information, and the information transmission module 302 transmitting the basic information to the data storage unit 5.
Working principle: according to the invention, the performance index input unit 1 is used for inputting the primary index and the secondary index manually, transmitting the input performance index to the performance index management unit 3, displaying the received performance index through the performance index management unit 3, giving different weights to different performance indexes, transmitting index data and the given different weights to the data storage unit 5, storing the received data into a database through the data storage unit 5, transmitting the received data to the data management unit 6, integrating and correlating the received data through the data management unit 6, transmitting the integrated and correlated data to the comprehensive evaluation unit 8 and the cluster analysis unit 9 respectively, calculating an evaluation value through the comprehensive evaluation unit 8, transmitting the calculated evaluation value E to the cluster analysis unit 9 and the performance query unit 11 respectively, analyzing the evaluation result through the cluster analysis unit 9 according to the calculated evaluation value by using a K-means algorithm, querying the evaluation value and the evaluation grade according to the query condition through the performance query unit 11, transmitting the queried evaluation value and the grade to the evaluation unit 12 respectively, and displaying the evaluation result through the evaluation unit 12 in a graph form.
It is noted that relational terms such as first and second, and the like are 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. Moreover, 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.
Although embodiments of the present invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made therein without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (10)
1. The system is characterized by comprising a performance index input unit (1), a personal information input unit (2), a performance index management unit (3), a personal information management unit (4), a data storage unit (5), a data management unit (6), a basic information management unit (7), a comprehensive evaluation unit (8), a cluster analysis unit (9), a basic information input unit (10), a performance query unit (11) and an evaluation result interface unit (12);
the performance index input unit (1) inputs the primary index and the secondary index manually and transmits the input performance index to the performance index management unit (3);
the performance index management unit (3) receives the data sent by the performance index input unit (1), displays the received performance indexes, assigns different weights to different performance indexes, and transmits the index data and the assigned different weights to the data storage unit (5).
2. The government engineering whole process engineering consultation performance evaluation system according to claim 1, wherein: the personal information input unit (2) inputs personal information by manpower, wherein the personal information comprises names, positions, contact ways, educational experiences, qualification certificates and photos, the input personal information is transmitted to the personal information management unit (4), the personal information management unit (4) receives the personal information sent by the personal information input unit (2), displays the received personal information, provides an interface for modifying the personal information, and transmits the received personal information to the data storage unit (5).
3. The government engineering whole process engineering consultation performance evaluation system according to claim 2, wherein: the basic information input unit (10) inputs manager information, staff information and department information manually, wherein the manager information comprises personal information of a manager, personal information of staff managed by the manager and department information managed by the manager, the staff information comprises personal information of the staff, departments to which the staff belongs and personal information of the staff, the department information comprises personnel responsible for the departments, the staff of the departments and personal information of all the staff in the departments, and the basic information is transmitted to the basic information management unit (7), and the basic information management unit (7) receives data sent by the basic information input unit (10), displays the received manager information, staff information and department information and transmits the basic information to the data storage unit (5).
4. A government engineering whole process engineering consultation performance evaluation system according to claim 3 and characterized by: the data storage unit (5) receives data sent by the performance index management unit (3), the personal information management unit (4) and the basic information management unit (7), stores the received data in a database, transmits the received data to the data management unit (6), and the data management unit (6) receives the data sent by the data storage unit (5), integrates and correlates the received data and transmits the integrated and correlated data to the comprehensive evaluation unit (8) and the cluster analysis unit (9) respectively.
5. The government engineering whole process engineering consultation performance evaluation system according to claim 4 wherein: the first level index comprises the consulting service quality, the professional ability and the project target realization condition, and the second level index comprises the professional H of the consulting service 1 Accuracy H of advisory services 2 Feasibility H of advisory services 3 Comprehensive H of counseling service 4 Project quality H 5 Project target progress H 6 Project objective cost H 7 Product quality H 8 And product use effect H 9 。
6. The government engineering whole process engineering consultation performance evaluation system according to claim 5 wherein: the comprehensive evaluation unit (8) receives the data sent by the data management unit (6), and establishes an evaluation matrix R according to the secondary index, wherein the evaluation matrix R specifically comprises:
and according to different weights assigned by the performance index management unit (3), a weight matrix W of the secondary index is established, wherein the weight matrix W is specifically as follows:
calculating an evaluation set S according to the evaluation matrix R and the weight matrix W, wherein the evaluation set S specifically comprises:
calculating an evaluation value E according to the evaluation set S, wherein the evaluation value E is specifically:
E=(E 1 E 2 E 3 )
E 1 =S 11 ·1+S 12 ·2+S 13 ·3
E 2 =S 21 ·1+S 22 ·2+S 23 ·3
E 3 =S 31 ·1+S 32 ·2+S 33 ·3
and transmitting the calculated evaluation value E to a cluster analysis unit (9) and a performance query unit (11), respectively.
7. The government engineering whole process engineering consultation performance evaluation system according to claim 6, wherein: the system comprises a data management unit (6), a comprehensive evaluation unit (8), a clustering analysis unit (9), an evaluation result interface unit (12), a performance query unit (11), a display screen and a display screen, wherein the data sent by the data management unit (6) and the evaluation value sent by the comprehensive evaluation unit (8) are received, the evaluation result is analyzed by a K-means clustering algorithm according to the calculated evaluation value, K=4 is set according to the actual situation of performance evaluation, the four grades are respectively good, good and medium and poor, the performance query unit (11) receives the evaluation value and the evaluation grade sent by the comprehensive evaluation unit (8) and the clustering analysis unit (9), queries the evaluation value and the evaluation grade according to query conditions, the queried evaluation value and evaluation grade are transmitted to the evaluation result interface unit (12), and the evaluation result interface unit (12) receives the evaluation value and the evaluation grade sent by the performance query unit (11) and displays the evaluation result in the form of a chart.
8. The government engineering whole process engineering consultation performance evaluation system according to claim 7, wherein: the comprehensive evaluation unit (8) comprises a data receiving module (801), an evaluation value calculating module (802) and a data transmission module (803), wherein the data receiving module (801) receives data sent by the data management unit (6), the evaluation value calculating module (802) calculates evaluation values according to different weights given by the secondary index and the performance index management unit (3), and the data transmission module (803) respectively transmits the calculated evaluation values to the clustering analysis unit (9) and the performance query unit (11).
9. The government engineering whole process engineering consultation performance evaluation system according to claim 1, wherein: the performance index management unit (3) comprises a performance index display module (301) and an index weight assignment module (302), wherein the performance index display module (301) displays primary indexes and primary secondary indexes, and the index weight assignment module (302) assigns different weights to different performance indexes.
10. A government engineering whole process engineering consultation performance evaluation system according to claim 3 and characterized by: the basic information management unit (7) comprises a basic information display module (701) and an information transmission module (302), wherein the basic information display module (701) displays manager information, staff information and department information, and the information transmission module (302) transmits the basic information to the data storage unit (5).
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CN115630768A (en) * | 2022-12-01 | 2023-01-20 | 中南财经政法大学 | Employee performance management method, system and storage medium based on informatization |
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