CN118365024A - Digital office system - Google Patents
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- CN118365024A CN118365024A CN202410351749.4A CN202410351749A CN118365024A CN 118365024 A CN118365024 A CN 118365024A CN 202410351749 A CN202410351749 A CN 202410351749A CN 118365024 A CN118365024 A CN 118365024A
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Abstract
The invention provides a digital office system, which comprises a user end and a service terminal, wherein the user end is in communication connection with the service terminal, and the system is used for executing a digital office method, and the method comprises the following steps: s1, a user initiates an automobile part scheduling request through an automobile part scheduling module of a user side; s2, a user feeds back the scheduling problem of the automobile parts through a feedback module of the user side; s3, the data acquisition module acquires an automobile part scheduling request and an automobile part scheduling problem; s4, the data analysis module analyzes the acquired automobile part scheduling request and the automobile part scheduling problem, and obtains a scheduling request analysis result and a scheduling problem analysis result respectively; s5, the opinion guiding module gives opinion guiding according to the analysis result of the scheduling request and the analysis result of the scheduling problem. The system can solve the problems existing in the scheduling of the automobile parts, thereby improving the efficiency of the digital office of enterprises.
Description
Technical Field
The invention relates to the technical field of digitalization, in particular to a digital office system.
Background
With the rapid development of modern technology, digital office has become an integral part of daily work. However, existing coordination related to automobile parts or other problems of the automobile is often limited to simple telephone communication or manual approval process, and cannot meet the requirement of enterprises for high-efficiency digital office. Accordingly, a digital office system is proposed to solve the above-mentioned problems.
Disclosure of Invention
It is therefore an object of the present invention to provide a digital office system that solves at least the above problems.
The technical scheme adopted by the invention is as follows:
The digital office system comprises a user end and a service terminal, wherein the user end is in communication connection with the service terminal, the user end is provided with an automobile part scheduling module and a feedback module, the service terminal is provided with a data acquisition module, a data analysis module and an opinion guiding module, and the system is used for executing a digital office method and comprises the following steps:
S1, a user initiates an automobile part scheduling request through an automobile part scheduling module of a user side;
s2, a user feeds back the scheduling problem of the automobile parts through a feedback module of the user side;
s3, the data acquisition module acquires an automobile part scheduling request and an automobile part scheduling problem;
s4, the data analysis module analyzes the acquired automobile part scheduling request and the automobile part scheduling problem, and obtains a scheduling request analysis result and a scheduling problem analysis result respectively;
s5, the opinion guiding module gives opinion guiding according to the analysis result of the scheduling request and the analysis result of the scheduling problem.
Further, in step S1, the scheduling request includes an automobile parts damaged scheduling request, an automobile parts missing scheduling request, and an automobile parts spare scheduling request.
Further, in step S2, the scheduling problem includes an abnormal scheduling time problem of the automobile parts and an error scheduling problem of the automobile parts.
Further, in step S4, the data analysis module analyzes the collected scheduling request of the automobile parts, specifically:
the data analysis module analyzes the acquired automobile part damage scheduling request for automobile part quality damage and automobile part transportation damage, and obtains a first analysis result;
The data analysis module analyzes the acquired automobile part missing scheduling request in an interruption mode of an automobile part supply chain, and a second analysis result is obtained;
the data analysis module carries out automobile part production plan adjustment and automobile part market demand change analysis on the collected automobile part surplus scheduling request, and a third analysis result is obtained;
Further, in step S4, the data acquisition module analyzes the scheduling problem of the automobile parts specifically as follows:
The data analysis module is used for analyzing the collected abnormal scheduling time problem of the automobile parts, such as manpower deficiency and logistics bottleneck, and obtaining a fourth analysis result;
and the data analysis module analyzes the collected scheduling error problem of the automobile part by human error, system error and flow defect, and obtains a fifth analysis result.
Further, in step S5, the opinion guiding module gives opinion guiding according to the analysis result of the scheduling request specifically as follows:
The opinion guiding module predicts the requirements of damaged parts in a future period of time according to the comparison of the quality damage and transportation damage data of the automobile parts with the historical data of the quality damage and transportation damage of the automobile parts in the first analysis result;
The opinion guidance module evaluates potential influences of the missing schedule on the production plan of the automobile parts and the customer satisfaction according to the interruption data of the supply chain of the automobile parts in the second analysis result;
And the opinion guiding module performs cross-department or cross-region scheduling according to the automobile part production plan adjustment and the automobile part market demand change data in the third analysis result.
Further, the opinion guiding module increases scheduling personnel and optimizes the logistics route according to the manpower deficiency and logistics bottleneck data in the fourth analysis result;
And the opinion guiding module is used for carrying out reinforced personnel training, optimizing a system algorithm and perfecting a scheduling flow according to human errors, system errors and flow defect analysis in the fifth analysis result.
Compared with the prior art, the invention has the beneficial effects that:
The invention provides a digital office system, which can conduct opinion guidance aiming at the problems of automobile part damage scheduling request, automobile part missing scheduling request, automobile part spare scheduling request, automobile part scheduling time abnormality and automobile part scheduling error, and can solve the problems existing in automobile part scheduling, thereby improving the efficiency of enterprise digital office.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for the description of the embodiments will be briefly described below, and it is apparent that the drawings in the following description are only preferred embodiments of the present invention, and other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 is a schematic diagram of the whole structure of a digital office system according to an embodiment of the present invention.
Fig. 2 is a flow chart of a digital office method performed in a digital office system according to an embodiment of the present invention.
Detailed Description
The principles and features of the present invention are described below with reference to the drawings, the illustrated embodiments are provided for the purpose of illustrating the invention and are not to be construed as limiting the scope of the invention.
Referring to fig. 1 and 2, the present invention provides a digital office system, the system includes a user terminal and a service terminal, the user terminal is in communication connection with the service terminal, the user terminal is provided with an automobile part scheduling module and a feedback module, the service terminal is provided with a data acquisition module, a data analysis module and an opinion guidance module, the system is used for executing a digital office method, the method includes the following steps:
S1, a user initiates an automobile part scheduling request through an automobile part scheduling module of a user side;
s2, a user feeds back the scheduling problem of the automobile parts through a feedback module of the user side;
s3, the data acquisition module acquires an automobile part scheduling request and an automobile part scheduling problem;
s4, the data analysis module analyzes the acquired automobile part scheduling request and the automobile part scheduling problem, and obtains a scheduling request analysis result and a scheduling problem analysis result respectively;
s5, the opinion guiding module gives opinion guiding according to the analysis result of the scheduling request and the analysis result of the scheduling problem.
For example, in order to improve the efficiency of digital office work of enterprises, the system can conduct opinion guidance aiming at the automobile part damage scheduling request, the automobile part missing scheduling request, the automobile part spare scheduling request, the automobile part scheduling time abnormality problem and the automobile part scheduling error problem in the method by executing the digital office work method, thereby helping staff to improve the efficiency of digital office work.
In step S1, the schedule request includes an automobile parts damage schedule request, an automobile parts missing schedule request, and an automobile parts spare schedule request.
By dividing the scheduling request into an automobile part damage scheduling request, an automobile part missing scheduling request and an automobile part spare scheduling request, an enterprise can conveniently grasp problems existing in the automobile part scheduling request.
In step S2, the scheduling problem includes an automobile part scheduling time abnormality problem and an automobile part scheduling error problem.
By dividing the scheduling problem into an abnormal scheduling time problem of the automobile parts and an error scheduling problem of the automobile parts, an enterprise can conveniently grasp the problems existing in the scheduling problem of the automobile parts.
In step S4, the data analysis module analyzes the collected scheduling request of the automobile parts, specifically:
the data analysis module analyzes the acquired automobile part damage scheduling request for automobile part quality damage and automobile part transportation damage, and obtains a first analysis result;
The data analysis module analyzes the acquired automobile part missing scheduling request in an interruption mode of an automobile part supply chain, and a second analysis result is obtained;
the data analysis module carries out automobile part production plan adjustment and automobile part market demand change analysis on the collected automobile part surplus scheduling request, and a third analysis result is obtained;
The first analysis result, the second analysis result and the third analysis result are obtained through the data analysis module for analysis of quality damage and transportation damage of the automobile parts, interruption analysis of a supply chain of the automobile parts, adjustment of a production plan of the automobile parts and analysis of market demand change of the automobile parts, so that an enterprise can conveniently make targeted opinion guidance for a scheduling request.
In step S4, the data acquisition module analyzes the scheduling problem of the automobile parts specifically as follows:
The data analysis module is used for analyzing the collected abnormal scheduling time problem of the automobile parts, such as manpower deficiency and logistics bottleneck, and obtaining a fourth analysis result;
and the data analysis module analyzes the collected scheduling error problem of the automobile part by human error, system error and flow defect, and obtains a fifth analysis result.
By way of example, the data analysis module is used for analyzing the manpower deficiency, the logistics bottleneck, the human error, the system error and the flow defect, and the fourth analysis result and the fifth analysis result are obtained, so that the opinion guidance of enterprises on the scheduling problem reflected by the feedback module can be met.
In step S5, the opinion guiding module gives opinion guiding according to the analysis result of the scheduling request specifically:
The opinion guiding module predicts the requirements of damaged parts in a future period of time according to the comparison of the quality damage and transportation damage data of the automobile parts with the historical data of the quality damage and transportation damage of the automobile parts in the first analysis result;
The opinion guidance module evaluates potential influences of the missing schedule on the production plan of the automobile parts and the customer satisfaction according to the interruption data of the supply chain of the automobile parts in the second analysis result;
And the opinion guiding module performs cross-department or cross-region scheduling according to the automobile part production plan adjustment and the automobile part market demand change data in the third analysis result.
The opinion guiding module is used for increasing scheduling personnel and optimizing a logistics route according to the manpower deficiency and logistics bottleneck data in the fourth analysis result;
And the opinion guiding module is used for carrying out reinforced personnel training, optimizing a system algorithm and perfecting a scheduling flow according to human errors, system errors and flow defect analysis in the fifth analysis result.
The opinion guidance module is used for guiding the first analysis result, the second analysis result, the third analysis result, the fourth analysis result and the fifth analysis result to the opinion respectively, so that the enterprise can be helped to solve the problems existing in the dispatching of the automobile parts, and the digital office efficiency of the enterprise can be improved.
The foregoing description of the preferred embodiments of the invention is not intended to limit the invention to the precise form disclosed, and any such modifications, equivalents, and alternatives falling within the spirit and scope of the invention are intended to be included within the scope of the invention.
Claims (7)
1. The digital office system is characterized by comprising a user end and a service terminal, wherein the user end is in communication connection with the service terminal, the user end is provided with an automobile part scheduling module and a feedback module, the service terminal is provided with a data acquisition module, a data analysis module and an opinion guiding module, and the system is used for executing a digital office method and comprises the following steps:
S1, a user initiates an automobile part scheduling request through an automobile part scheduling module of a user side;
s2, a user feeds back the scheduling problem of the automobile parts through a feedback module of the user side;
s3, the data acquisition module acquires an automobile part scheduling request and an automobile part scheduling problem;
s4, the data analysis module analyzes the acquired automobile part scheduling request and the automobile part scheduling problem, and obtains a scheduling request analysis result and a scheduling problem analysis result respectively;
s5, the opinion guiding module gives opinion guiding according to the analysis result of the scheduling request and the analysis result of the scheduling problem.
2.A digital office system according to claim 1, wherein in step S1, the scheduling request includes an automobile parts damaged scheduling request, an automobile parts missing scheduling request, and an automobile parts spare scheduling request.
3. A digital office system according to claim 2, wherein in step S2, the scheduling problem includes an automobile parts scheduling time abnormality problem and an automobile parts scheduling error problem.
4. A digital office system according to claim 3, wherein in step S4, the data analysis module analyzes the collected scheduling request of the automobile parts, specifically:
the data analysis module analyzes the acquired automobile part damage scheduling request for automobile part quality damage and automobile part transportation damage, and obtains a first analysis result;
The data analysis module analyzes the acquired automobile part missing scheduling request in an interruption mode of an automobile part supply chain, and a second analysis result is obtained;
and the data analysis module carries out automobile part production plan adjustment and automobile part market demand change analysis on the collected automobile part surplus scheduling request, and obtains a third analysis result.
5. The digital office system of claim 4, wherein in step S4, the data acquisition module analyzes the scheduling problem of the automobile parts specifically as:
The data analysis module is used for analyzing the collected abnormal scheduling time problem of the automobile parts, such as manpower deficiency and logistics bottleneck, and obtaining a fourth analysis result;
and the data analysis module analyzes the collected scheduling error problem of the automobile part by human error, system error and flow defect, and obtains a fifth analysis result.
6. The digital office system according to claim 5, wherein in step S5, the opinion guiding module gives opinion guiding according to the analysis result of the scheduling request specifically:
The opinion guiding module predicts the requirements of damaged parts in a future period of time according to the comparison of the quality damage and transportation damage data of the automobile parts with the historical data of the quality damage and transportation damage of the automobile parts in the first analysis result;
The opinion guidance module evaluates potential influences of the missing schedule on the production plan of the automobile parts and the customer satisfaction according to the interruption data of the supply chain of the automobile parts in the second analysis result;
And the opinion guiding module performs cross-department or cross-region scheduling according to the automobile part production plan adjustment and the automobile part market demand change data in the third analysis result.
7. A digital office system according to claim 6, wherein,
The opinion guiding module is used for increasing scheduling personnel and optimizing a logistics route according to the manpower deficiency and logistics bottleneck data in the fourth analysis result;
And the opinion guiding module is used for carrying out reinforced personnel training, optimizing a system algorithm and perfecting a scheduling flow according to human errors, system errors and flow defect analysis in the fifth analysis result.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202410351749.4A CN118365024A (en) | 2024-03-26 | 2024-03-26 | Digital office system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202410351749.4A CN118365024A (en) | 2024-03-26 | 2024-03-26 | Digital office system |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN118365024A true CN118365024A (en) | 2024-07-19 |
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| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202410351749.4A Pending CN118365024A (en) | 2024-03-26 | 2024-03-26 | Digital office system |
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| Country | Link |
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| CN (1) | CN118365024A (en) |
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- 2024-03-26 CN CN202410351749.4A patent/CN118365024A/en active Pending
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