Risk point management system and method based on quality control

Abstract

The present invention relates to the technical field of production management, and specifically to a risk point management system based on quality control, including a central processor, a collection terminal, a docking terminal, and a database; the central processor includes a processing strategy and a verification strategy for verifying the processing process, the processing strategy includes automatically obtaining risk points through the collection terminal and the docking terminal, and the risk points include a first change point; the collection terminal is used to collect actual processing measures and actual evidence; and for users to input optimized control measures and optimized control evidence to update initial countermeasures; the docking terminal is used to dock with an ERP system, and obtain the in-and-out data of products and raw materials from the ERP system to form a first change point; the database is used to store initial countermeasures, and store historical data of risk points, and the initial countermeasures include recommended control measures and recommended control evidence. This solution can efficiently manage risk points and solve the technical problems of low efficiency and poor timeliness of production risk management in the prior art.

Description

Technical Field

[0001] The present invention relates to the technical field of production management, and in particular to a risk point management system and method based on quality control. Background Art

[0002] As productivity gradually increases, production lines usually need to manage risks in the production process. The existing technology mainly involves manually filling in change points, and then notifying relevant personnel to handle them through verbal notifications or reports, which is not smart enough. However, when there are many risks on the production line, it will be difficult to accurately convey the changes to each relevant person, and the efficiency of risk management is low.

[0003] In order to solve the above problems, the existing technology records the management of each change point in the database by setting up a change point management system, which plays a role in monitoring and managing the change points. However, although the existing technology has slightly improved the efficiency of management, it only changes the data storage method from traditional paper storage to database storage. Its essence is still entirely manual management, which is not smart enough, and the management efficiency is still hindering production. Since there are many changes in risk points and the workload of recording is also large, manual processing cannot promptly remind the changes of risk points, resulting in the inability to accurately and timely respond to risks, affecting normal production.

[0004] Therefore, there is an urgent need for a management system and management method that can efficiently manage risk points and improve the accuracy and timeliness of risk management. Summary of the invention

[0005] The present invention aims to provide a risk point management system based on quality control to solve the technical problems of low efficiency and poor timeliness of production risk management.

[0006] The basic solution provided by the present invention is: a risk point management system based on quality control, including a central processor, a collection terminal, a docking terminal, and a database;

[0007] Collection end: used to obtain data on changes in staff, production equipment, raw materials, parameters, and water, electricity, and gas on the production line; the collection end is also used to collect actual treatment measures and actual evidence;

[0008] Docking terminal: used to connect with the ERP system and obtain the data of product and raw material in and out of the warehouse from the ERP system;

[0009] Database: used to store initial countermeasures, including recommended control measures and recommended control evidence; the database is also used to store historical data of risk points;

[0010] Central processing unit: A processing strategy and a verification strategy are preset; the processing strategy includes forming risk points based on the data obtained from the collection end and the docking end, and the risk points include the first change point; the verification strategy includes comparing the actual processing measures with the recommended control measures, and comparing the actual evidence with the recommended control evidence to obtain the verification results.

[0011] The working principle and advantages of the present invention are: the central processing unit uses the data obtained from the collection end and the docking end to form risk points according to the processing strategy, so as to facilitate the subsequent response processing for the risk points; then the actual processing measures in the response processing process and the actual evidence proving that the response processing has been completed are obtained through the collection end; the central processing unit verifies the actual processing measures and actual evidence according to the verification strategy, determines whether the actual processing measures and actual evidence are consistent with the requirements of the recommended control measures and recommended control evidence in the initial countermeasures, and obtains the verification results.

[0012] The present invention is based on the risk point management system of quality control. The central processing unit uses the data automatically obtained from the collection end and the docking end to form risk points, avoiding the problems of inaccurate and untimely manual collection of risk points; at the same time, the central processing unit verifies the actual processing measures and actual evidence according to the verification strategy and obtains the verification results, which saves the verification work of the staff and can confirm more quickly whether the processing of the risk points has been completed, making risk control more timely, avoiding the staff from spending too much time on transactional work, improving the work efficiency of employees, and reducing the difficulty of risk point management, so that risk points can be efficiently controlled, thereby improving production efficiency.

[0013] Furthermore, the initial countermeasures also include multiple related factors, including change code, change description, change control period, change discoverer and change handler. In addition to the recommended control measures and recommended control evidence, each specific risk point corresponds to a change code, which uniquely corresponds to other related factors. It can quickly determine who will handle it, how to handle it, and to what extent according to the risk point; the control of risk points is more refined, allowing staff to handle more situations and trace back to this handling later.

[0014] Further, the verification results include:

[0015] Qualified: The actual handling measures meet the requirements of the recommended control measures, and the actual evidence meets the requirements of the recommended control evidence;

[0016] Non-standard: the actual handling measures do not meet the requirements of the recommended control measures, and the actual evidence does not meet the requirements of the recommended control evidence; Special failure situation: the actual handling measures meet the requirements of the recommended control measures, and the actual evidence does not meet the requirements of the recommended control evidence;

[0017] Special success situation: The actual handling measures do not meet the requirements of the recommended control measures, and the actual evidence meets the requirements of the recommended control evidence.

[0018] Compared with the existing technology, which simply divides the processing results into those that meet the standards and those that do not; this solution divides the verification results in detail, and can clearly distinguish whether the failure to process is due to incorrect operation or because the initial strategy is not suitable for special circumstances. This is conducive to the staff to correct their own misoperations and subsequent judgment of responsibilities.

[0019] Furthermore, the central processor also includes an update strategy executed when the verification result is a special failure or a special success; the update strategy includes adding actual processing measures and actual evidence to the initial countermeasures. The update strategy can make the initial countermeasures more and more perfect, so that the staff can deal with more and more situations and improve the accuracy of the risk point response method.

[0020] Furthermore, the risk point also includes a second change point, and the collection end is also used to collect the second change point; the second change point includes a change in non-essential production conditions. This solution introduces the risks of external changes to the factory and corresponding treatment measures, enhances the ability to deal with more risks, and enables the processing personnel to urgently deal with the risks caused by external changes.

[0021] Furthermore, the collection end includes a variety of sensors, keyboards and cameras. This solution enables the collection end to automatically collect the actual treatment measures and actual evidence of the risk points handled by the processing personnel, as well as collect external changes to form the second change point; and can also support manual input by users.

[0022] Furthermore, it also includes a display terminal, which is used to display the recommended control measures and recommended control evidence pushed by the central processor for the risk point. This solution enables the processing personnel to handle the risk point in accordance with the recommended control measures, helping inexperienced employees to quickly and accurately complete the processing of risk points, and upload evidence according to the recommended control evidence, leaving relevant processing records.

[0023] Furthermore, the verification strategy includes dividing the risk levels and dynamically adjusting the audit processes of different risk levels. The verification strategy divides the audit process into risk levels and flexibly adjusts the corresponding handlers of the audit processes of different risk levels to prevent the same person from handling the audit process backlog and avoid untimely processing of the audit process, thereby enhancing the rationality of personnel allocation and the timeliness of the audit process.

[0024] Furthermore, the central processor also includes a prediction strategy, which includes controlling the collection end and the docking end to focus on collecting actual risk points, and predicting whether the actual risk points have a risk of change based on historical records. Actual risk points refer to risk points that have actually changed, so actual risk points are more likely to change than general risk points. Actual risk points are predicted based on historical records to determine whether there is a risk of change again.

[0025] The present invention also intends to provide a risk point management method based on quality control, comprising the following steps:

[0026] S1: The CPU obtains risk points according to the processing strategy and creates risk point control items;

[0027] S2: The display terminal displays the risk points and the corresponding recommended control measures and recommended control evidence;

[0028] S3: The central processor assists in handling risk point control matters;

[0029] S4: The collection end obtains actual processing measures and actual evidence;

[0030] S5: The central processing unit verifies the actual processing measures and the actual evidence according to the verification strategy to obtain the verification result, and displays the verification result through the display terminal;

[0031] S6: The central processing unit determines whether to execute the update strategy according to the verification result, and executes the update strategy when the verification result is a special failure or a special success;

[0032] S7: The central processor determines whether to end the risk point control items; when the verification result is qualified or a special success situation, the central processor ends the risk point control items; when the verification result is non-compliant or a special failure situation, S3 to S7 are repeated.

[0033] Compared with the risk management of existing technologies, this solution is simpler and reduces the difficulty of risk management; at the same time, in conjunction with the risk point management system based on quality control, it can more efficiently control risk points and improve risk management efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0034] Figure 1 It is a structural schematic diagram of an embodiment of a risk point management system and method based on quality control of the present invention. DETAILED DESCRIPTION

[0035] The following is a further detailed description through specific implementation methods:

[0036] Embodiment 1:

[0037] The embodiment is basically as shown in the attached Figure 1As shown, the risk point management system based on quality control includes a central processor, a collection end, a docking end, a database and a display end. Among them, the docking end is docked with the ERP system, obtains the in-and-out data of products and raw materials from the ERP system, and uploads the in-and-out data to the central processor. The collection end obtains data such as changes in staff, production equipment, raw materials, parameters, and water, electricity and gas on the production line, and uses the above data as part of the first change point; the collection end obtains actual processing measures and actual evidence and uploads them to the central processor. The database stores historical data of risk points and initial countermeasures to deal with risk points, and the initial countermeasures include recommended control measures and recommended control evidence. The central processor is preset with a processing strategy and a verification strategy. The processing strategy includes forming risk points based on the data obtained by the collection end and the docking end, and the risk points include the first change point and the second change point; among them, the first change point includes changes in staff, production equipment, raw materials, parameters, and water, electricity and gas, such as: new employees taking up their posts, changing jobs, equipment location changes, equipment replacement, stamping, welding and other parameter changes, water outages, power outages, gas outages, etc. The verification strategy includes comparing the actual handling measures with the recommended control measures, and comparing the actual evidence with the recommended control evidence to obtain the verification results. The verification strategy can be used to determine whether the actual handling measures of the handling personnel are in accordance with the recommended control measures to deal with the risk, and play a role in supervising and guiding the handling personnel. The display end is used to display risk points, recommended control measures and recommended control evidence, so that the handling personnel can handle them in accordance with the recommended control measures, help inexperienced employees to quickly and accurately complete the handling of risk points, and upload evidence according to the recommended control evidence, leaving relevant processing records, and improve the accuracy of risk control work.

[0038] The second change point includes non-essential changes in production conditions, such as natural disasters such as earthquakes and typhoons and bad weather, as well as changes in manufacturers, brand changes, real-time policy regulation, market demand and other human factors. The collection end can also collect external changes and synthesize them to obtain the second change point. Since the setting of the first change point can meet the requirements of most production for risk control, the existing technology only considers the impact of changes in conditions during the production process, but does not consider how to deal with changes in the macro environment outside the production process. Compared with the existing technology, the newly added second change point introduces the risks of external changes to the factory and the corresponding treatment measures, enhances the ability to deal with more risks, enables processing personnel to respond to the risks caused by external changes in an emergency, enhances the timeliness of risk point processing, prevents emergencies from causing processing personnel to be at a loss, and avoids delaying the best decision-making time. The collection end in this embodiment includes not only a variety of sensors, keyboards and cameras, but also a network communication module. This solution can automatically collect the actual measures and actual evidence of the risk points handled by the processing personnel through the camera, and use multiple sensors such as noise sensors, light sensors, temperature and humidity sensors to cooperate with the camera to collect changes in the external environment. The 4G / 5G module can obtain factors that may affect employees to form a second change point, such as the occurrence of a strong infectious disease, extremely bad weather, etc. At the same time, it can support manual input by users to deal with a few uncommon situations, prevent overlapping targets due to the position of the camera, and avoid actual processing measures that are not in compliance with regulations due to collection problems. It is more convenient for manual error correction before the strategy is updated and trained.

[0039] The central processor controls the collection end and the docking end to automatically obtain data and form risk points according to the processing strategy; then the actual processing measures adopted in the processing process and the actual evidence proving that the processing is carried out according to the actual processing measures are obtained through the collection end; the central processor verifies the actual processing measures and the actual evidence according to the verification strategy to determine whether they comply with the recommended control measures and the recommended control evidence in the initial countermeasures; the specific verification process can be carried out by taking pictures of each key node of the staff's processing process through the camera, and correspondingly identifying the pictures stored in the database. This part is the existing technology and will not be described in detail here. After obtaining the verification results, the central processor determines whether the processing of the risk point has been completed according to the verification results. If the risk point is not resolved, it needs to be processed again. If it is determined that the risk point has not been resolved, it needs to be processed again. The central processor can determine whether the actual processing measures of the processing personnel are compliant and whether the actual evidence meets the requirements through the verification strategy, and play a role in supervising and guiding the processing personnel. The initial countermeasures change code, change description, change control period, change discoverer and change handler and other related factors. In addition to the suggested control measures and suggested control evidence, each specific risk point corresponds to a unique change code, which corresponds to the change description, change control period, change discoverer, change handler, and auditor, etc., which can quickly determine who will handle it, how to handle it, and to what extent according to the risk point; the control of risk points is more refined, so that handlers can handle more situations. When the response to the risk point is completed, it can be determined based on the verification results whether to execute the update strategy to add the actual handling measures and actual evidence to the initial countermeasures; the update strategy is executed when the verification result is a special failure or a special success, otherwise it is not executed.

[0040] The existing technology has technical bias. It is generally believed that procurement and production are separate. Even if there are related parts, they can be solved by cooperation between the two departments. Therefore, the production process management and procurement management of the existing technology are often separate. When the procurement department is actually required to cooperate, there are problems such as untimely transmission, easy data loss, transmission errors and inconsistent data formats in the export, transfer and import process of procurement-related data, which brings a lot of inconvenience to the actual processing work. However, this solution overcomes these technical biases, automatically obtains the data recorded in the ERP system through the docking end to form the first change point, and automatically completes the data format conversion work when the docking end obtains the data, avoiding poor cooperation between departments or inconsistent data formats leading to untimely acquisition of the first change point, thereby preventing the untimely response to risks from affecting the production efficiency and quality of the product. At the same time, this solution simplifies the work process and reduces the workload of the staff through the process of automatically obtaining risk points and checking the staff's handling of risk points through the collection end. Compared with the existing technology, the processing speed is faster, which can avoid the problem of untimely response to risk points due to the large workload of the staff due to the large content of the change points. This solution greatly simplifies the management content, and the work that originally required judgment and verification is automatically handed over to the risk point management system. The processing personnel only need to deal with the risk points. This solution can help the staff complete a small part of the work content of handling risk points, reduce the difficulty of handling risk points, and increase the speed of handling risk points, thereby improving the efficiency of management. It can respond to risk points in a timely manner to prevent production efficiency from being affected by inadequate management or low management efficiency.

[0041] The present invention also intends to provide a risk point management method based on quality control, comprising the following steps:

[0042] S1: The collection end obtains data on staff changes, production equipment changes, raw material changes, parameter changes, water, electricity and gas changes, and non-essential production conditions. At the same time, the docking end obtains product and raw material in-and-out data from the ERP system. The central processor comprehensively organizes the above data to form risk points; then creates risk point control items based on the risk points;

[0043] S2: The display terminal displays the risk points and the corresponding recommended control measures and recommended control evidence. At the same time, it also displays other information about the risk point control matters, such as the change code, change description, change control period, change discoverer and change handler in the initial countermeasures;

[0044] S3: The central processor assists in handling risk point control matters;

[0045] S4: The collection end obtains actual processing measures and actual evidence through the camera;

[0046] S5: The central processor verifies the actual processing measures and actual evidence according to the verification strategy, obtains the verification result through image recognition, and displays the verification result through the display terminal;

[0047] S6: The central processor determines the verification result, and executes the update strategy when the verification result is a special failure or a special success. S7: The central processor determines whether to end the risk point management and control matters. When the verification result is qualified or a special success, the central processor ends the risk point management and control matters. When the verification result is non-compliant or a special failure, repeat the step process from S3.

[0048] Compared with the risk management of existing technologies, this solution is simpler. Most of the work is completed through this system. The staff only needs to check and confirm that no processing errors have occurred, which greatly reduces the difficulty of risk management. At the same time, in conjunction with the risk point management system based on quality control, it can more efficiently control risk points and improve risk management efficiency.

[0049] Embodiment 2:

[0050] The only difference between the second embodiment and the first embodiment is that in this embodiment, the verification strategy also includes dividing the risk level and dynamically adjusting the audit process of different risk levels. This scheme sorts the risk points of different risk levels and gives priority to the risk points with high risk levels. The risk level is divided according to the historical data of the losses caused by the risk points and the historical data of the difficulty of handling the risk points. The risk points with large losses and low handling difficulty recorded in the history are the first priority, the risk points with large losses and high handling difficulty are the second priority, the risk points with small losses and low handling difficulty are the third priority, and the risk points with small losses and high handling difficulty are the third priority; among them, the size of the loss is determined by the manufacturer's ability to bear, and the corresponding threshold is set according to the actual situation. The difficulty of handling is judged by the proportion of special failures in the historical records. When the ratio of special failures to all verification results is greater than 15%, the difficulty is high, otherwise it is low.

[0051] This solution makes the entire management work more intelligent. When a large number of risk points appear at the same time, the processing order of the risk points is adjusted according to the risk level, so that the management of the risk points can be carried out in an orderly manner, thereby improving the management efficiency of the entire risk point and minimizing the losses caused by untimely processing of risk points.

[0052] Embodiment three:

[0053] The only difference between Example 3 and Example 2 is that the central processor also includes a prediction strategy, which includes controlling the collection end and the docking end to focus on collecting actual risk points, and predicting whether the actual risk points have a risk of change based on historical records. Actual risk points refer to risk points that have actually changed. Actual risk points are more likely to change than general risk points. This solution predicts actual risk points based on the time and frequency of actual risk points in historical records, and can determine whether the actual risk points have specific periodic characteristics, or meet certain conditions to appear, and then determine whether the actual risk points will have a risk of changing again. For example: If a risk point on a production line appears once every week, the collection end will screen the content related to the risk point, analyze the influencing factors of the risk point, and focus on monitoring the changes in these influencing factors, so as to determine whether the risk point will appear again.

[0054] This plan focuses on monitoring risk points that are prone to risk, and can record and display risks as soon as they occur, so that the handlers have sufficient time to handle them, making the management of risk points more accurate and timely.

[0055] The above is only an embodiment of the present invention. The common sense such as the known specific structure and characteristics in the scheme is not described in detail here. The ordinary technicians in the relevant field know all the common technical knowledge in the technical field of the invention before the application date or priority date, can obtain all the existing technologies in the field, and have the ability to apply the conventional experimental means before that date. The ordinary technicians in the relevant field can improve and implement this scheme in combination with their own abilities under the enlightenment given by this application. Some typical known structures or known methods should not become obstacles for ordinary technicians in the relevant field to implement this application. It should be pointed out that for those skilled in the art, without departing from the structure of the present invention, several deformations and improvements can be made, which should also be regarded as the protection scope of the present invention, which will not affect the effect of the implementation of the present invention and the practicality of the patent. The protection scope required by this application shall be based on the content of its claims, and the specific implementation methods and other records in the specification can be used to interpret the content of the claims.

Claims

1. Risk point management system based on quality control, characterized by: Including central processing unit, collection terminal, docking terminal, and database; Collection end: used to obtain data on changes in staff, production equipment, raw materials, parameters, and water, electricity, and gas on the production line; the collection end is also used to collect actual treatment measures and actual evidence; Docking terminal: used to connect with the ERP system and obtain the data of product and raw material in and out of the warehouse from the ERP system; Database: used to store initial countermeasures, including recommended control measures and recommended control evidence; the database is also used to store historical data of risk points; Central processor: a processing strategy and a verification strategy are preset; the processing strategy includes forming risk points according to the data acquired by the collection end and the docking end, and the risk points include the first change point; the verification strategy includes comparing the actual processing measures with the recommended control measures, and comparing the actual evidence with the recommended control evidence to obtain the verification results; The verification results include: Qualified: The actual handling measures meet the requirements of the recommended control measures, and the actual evidence meets the requirements of the recommended control evidence; Non-standard: The actual handling measures do not meet the requirements of the recommended control measures, and the actual evidence does not meet the requirements of the recommended control evidence; Special failure situation: The actual handling measures meet the requirements of the recommended control measures, but the actual evidence does not meet the requirements of the recommended control evidence; Special success situation: the actual processing measures do not meet the requirements of the recommended control measures, and the actual evidence meets the requirements of the recommended control evidence; the central processor also includes an update strategy executed when the verification result is a special failure situation or a special success situation; the update strategy includes adding the actual processing measures and the actual evidence to the initial countermeasures.

2. The risk point management system based on quality control according to claim 1 is characterized in that: The initial countermeasure also includes multiple related factors, including change code, change description, change control period, change discoverer, and change handler.

3. The risk point management system based on quality control according to claim 1 is characterized in that: The risk point also includes a second change point, and the collection end is further used to collect the second change point; the second change point includes a non-essential production condition change.

4. The risk point management system based on quality control according to claim 1 is characterized in that: The acquisition end includes a variety of sensors, a keyboard and a camera.

5. The risk point management system based on quality control according to claim 1 is characterized in that: It also includes a display terminal, which is used to display the recommended control measures and recommended control evidence pushed by the central processor for the risk points.

6. The risk point management system based on quality control according to claim 1 is characterized in that: The verification strategy also includes dividing risk levels and dynamically adjusting the review process for different risk levels.

7. The risk point management system based on quality control according to claim 1 is characterized by: The central processor also includes a prediction strategy, which includes controlling the collection end and the docking end to focus on collecting actual risk points, and predicting whether there is a risk of change in the actual risk points based on historical records.

8. The risk point management method based on quality control is characterized by: The risk point management system based on quality control applied to any one of claims 1 to 7 comprises the following steps: S1: The CPU obtains risk points according to the processing strategy and creates risk point control items; S2: The display terminal displays the risk points and the corresponding recommended control measures and recommended control evidence; S3: The central processor assists in handling risk point control matters; S4: The collection end obtains actual processing measures and actual evidence; S5: The central processing unit verifies the actual processing measures and the actual evidence according to the verification strategy to obtain the verification result, and displays the verification result through the display terminal; S6: The central processing unit determines whether to execute the update strategy according to the verification result, and executes the update strategy when the verification result is a special failure or a special success; S7: The central processor determines whether to end the risk point control items; when the verification result is qualified or a special success situation, the central processor ends the risk point control items; when the verification result is non-compliant, S3 to S6 are repeated; when the verification result is or a special failure situation, the processing of risk point control items is suspended, the processing records are stored and notification is made.

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