Digital management and control method, device and equipment for quality improvement of poor-operation QRQC

Abstract

The invention discloses a digital management and control method, device and equipment for quality improvement of poor operation QRQC, and relates to the field of quality control and management of automobile manufacturing, the method comprises the following steps: creating project approval rules and effect verification rules for quality improvement of poor operation QRQC in an MQ system, and communicating with electronic vehicle-mounted card data in the MQ system; based on a push rule set in the MQ system, pushing a QRQC list generated by executing project approval operation when the project approval rule is satisfied to a corresponding responsibility unit to realize responsibility confirmation; and creating and implementing temporary countermeasure logic and reason analysis and countermeasure making logic in the MQ system, and performing effect verification based on the effect verification rule. The problem improvement efficiency can be effectively improved, quality problem project approval improvement is real-time and comprehensive, the poor operation improvement process is standardized, and therefore quality improvement is promoted to be rapid and effective.

Description

Technical Field

[0001] This application relates to the field of quality control management in automobile production and manufacturing, and particularly relates to a digital control method, device and equipment for QRQC quality improvement of operation defects. Background Art

[0002] Operation defects refer to the situation where, during the production process, operators cause quality problems in products due to operation reasons. For example, quality problems in products are caused by reasons such as unqualified skills, non - operation according to the standard operation manual, or unreasonable compilation of the standard operation manual. Quality improvement refers to a series of activities such as analyzing the current situation, finding problems, formulating and implementing improvement plans, etc., to reduce quality fluctuations, eliminate defects, meet or exceed customer expectations, etc.

[0003] Currently, for the business process of operation defect quality improvement, it mainly includes QRQC (Quick Response Quality Control) project improvement for operation defect problems, responsibility confirmation, cause analysis and temporary countermeasures, permanent countermeasures and improvement evidence, and effect verification. For QRQC project improvement of operation defect problems, specifically, every day, QRQC information specialists in each workshop summarize and statistically analyze the quality problems caused by operation defects that occurred the previous day, and manually create QRQC forms in the quality information management system based on the quality problem level. For responsibility confirmation, specifically, when the liaison officers in each workshop receive the QRQC forms of their own unit's responsibility in the quality information management system and recognize it as their own unit's responsibility, they distribute it to the responsible team leader. If they do not recognize it as their own unit's responsibility, they apply for arbitration, and the arbitration personnel determine the final responsible unit based on the investigation situation. For cause analysis and temporary countermeasures, specifically, the responsible team leader analyzes and fills in the causes of the problem and temporary improvement countermeasures in the quality information management system. For permanent countermeasures and improvement evidence, specifically, the responsible team leader formulates and fills in the permanent improvement countermeasures in the quality information management system, and then implements and uploads the improvement evidence. For effect verification, specifically, the problem proposer evaluates the improvement effect starting from the date when the responsible unit uploads the improvement evidence, and manually determines the improvement effect.

[0004] A QRQC form refers to a quality problem control form generated through QRQC project establishment, and its content includes: management number, problem category, problem source, bill - of - lading unit, bill - of - lading person, project establishment date, defect level, responsible unit, defect content, detailed defect description, number of defective parts, whether recurrence, responsible person, vehicle model, chassis number or body number, part number, part name, supplier, manufacturing reason, outflow reason, temporary countermeasures, anti - outflow countermeasures, permanent countermeasures, verification result, case - closing result, etc.

[0005] However, for the existing operations of improving defective quality, the following problems exist: (1) Uncertainty in project establishment. Relying on manual identification of which problems should be included in the improvement project according to rules, it is easy to miss some. It is not clear whether the problems that should be included in the improvement project every day have actually been included, and it is difficult to manage work driven by humans; (2) Uncertainty in whether it is the responsibility of the unit itself. The QRQC improvement project establishment lags behind. The liaison officers and arbitration personnel of the responsible unit often cannot confirm the physical defective vehicles, resulting in subjective determination of responsibility; (3) Uncertainty in whether countermeasures are missing. The levels of each team leader vary. It is uncertain whether the root cause analysis is in place and whether there are any missing items in the countermeasure formulation; (4) Uncertainty in improvement effects. Manual verification of improvement effects is carried out, and it is uncertain whether the rules for verifying improvement effects are met. Summary of the Invention

[0006] The present application provides a digital control method, device, and equipment for improving QRQC quality of defective operations, which can effectively improve the problem improvement efficiency, comprehensively and in real-time include quality problems in the improvement project, and standardize the defective operation improvement process, thereby promoting rapid and effective quality improvement.

[0007] In the first aspect, an embodiment of the present application provides a digital control method for improving QRQC quality of defective operations. The digital control method for improving QRQC quality of defective operations includes:

[0008] Create project establishment rules and effect verification rules for improving QRQC quality of defective operations in the MQ system, and connect them with the electronic vehicle card data in the MQ system;

[0009] Based on the push rules set in the MQ system, push the QRQC form generated by performing the project establishment operation when the project establishment rules are met to the corresponding responsible unit to confirm the responsibility;

[0010] Create a temporary countermeasure logic and a root cause analysis and countermeasure formulation logic in the MQ system and implement them, and perform effect verification based on the effect verification rules.

[0011] Combined with the first aspect, in an implementation manner, the project establishment rules are specifically:

[0012] Summarize the defective problems with the responsible unit being the workshop entered in the electronic vehicle card in the MQ system, and judge:

[0013] When the defect level is the first level or the first plus level, and the number of defective problems is at least the first quantity, conduct project establishment improvement and generate a QRQC form;

[0014] When the defect level is the second level, and the cumulative number of defective problems within a unit time is at least the second quantity, conduct project establishment improvement and generate a QRQC form;

[0015] When there are the same unfinished QRQC forms in the MQ system, no duplicate project establishment for improvement is carried out.

[0016] Combined with the first aspect, in one implementation, the effect verification rule is specifically as follows:

[0017] After the improvement evidence is submitted, summarize the defective problems in the MQ system where the responsible unit for entering the data of the electronic vehicle card is the workshop:

[0018] When it is for the same production line, the same vehicle model, the same defective content, the same responsible unit, and the defect level is the first level or the first plus level, and the number of defective problems per day for the continuously set working days is equal to 0, it is determined that the improvement effect is excellent;

[0019] When the defect level is the second level, and the number of defective problems per day for the continuously set working days is less than or equal to the third quantity, it is determined that the improvement effect is excellent.

[0020] Combined with the first aspect, in one implementation,

[0021] The first level refers to defective problems that users are strongly dissatisfied with and require repair;

[0022] The first plus level refers to defective problems that users are strongly dissatisfied with and cannot be used or are difficult to use;

[0023] The second level is defective problems that users are dissatisfied with and will be pointed out in the market quality questionnaire survey.

[0024] Combined with the first aspect, in one implementation, for the generation of QRQC forms, it specifically includes:

[0025] Obtain the production line code, vehicle model, defective content, responsible unit, and defect level content from the MQ system;

[0026] Based on the obtained content, the MQ system generates QRQC forms in combination with the project establishment rule.

[0027] Combined with the first aspect, in one implementation, based on the push rule set in the MQ system, push the QRQC forms generated by performing the project establishment operation when meeting the project establishment rule to the corresponding responsible unit to realize the confirmation of responsibility, which specifically includes:

[0028] Maintain the information of the responsible unit and the liaison of the responsible unit in the MQ system;

[0029] The MQ system distributes the QRQC forms generated by performing the project establishment operation when meeting the project establishment rule to the liaison account of the responsible unit, generates a to-do task, and performs a message push;

[0030] The liaison officer of the responsible unit receives the pushed message and confirms the responsibility corresponding to the QRQC form to confirm whether it is the responsibility of this responsible unit.

[0031] Combined with the first aspect, in one implementation,

[0032] The content included in the temporary countermeasure logic is: the responsible person, the temporary handling countermeasure, and the anti-flow countermeasure;

[0033] The cause analysis and countermeasure formulation logic includes: carrying out cause analysis operation observation, judging whether the personal quality assurance items are revised, judging whether the standard operation manual is revised, carrying out OPL training, carrying out post-training operation observation, and uploading the improvement evidence to the MQ system.

[0034] Combined with the first aspect, in one implementation, the effect verification is carried out based on the effect verification rule, specifically including:

[0035] After the improvement evidence is uploaded to the MQ system, obtain the production line code, vehicle model, defective content, responsible unit, and defect level from the electronic vehicle card data in the MQ system;

[0036] Combined with the content obtained from the electronic vehicle card data, the MQ system conducts effect verification based on the effect verification rule to determine the improvement effect.

[0037] In the second aspect, the embodiment of the present application provides a digital control device for improving the quality of QRQC for operation defects. The digital control device for improving the quality of QRQC for operation defects includes:

[0038] A creation module, which is used to create the project establishment rule and the effect verification rule for improving the quality of QRQC for operation defects in the MQ system and connect with the electronic vehicle card data in the MQ system;

[0039] A confirmation module, which is used to push the QRQC form generated by performing the project establishment operation when the project establishment rule is met to the corresponding responsible unit based on the push rule set in the MQ system to realize the confirmation of responsibility;

[0040] A verification module, which is used to create and implement the temporary countermeasure logic and the cause analysis and countermeasure formulation logic in the MQ system and conduct effect verification based on the effect verification rule.

[0041] In a third aspect, an embodiment of the present application provides a digital control device for improving the quality of QRQC for defective operations. The digital control device for improving the quality of QRQC for defective operations includes a processor, a memory, and a digital control program for improving the quality of QRQC for defective operations that is stored on the memory and executable by the processor. When the digital control program for improving the quality of QRQC for defective operations is executed by the processor, the steps of the digital control method for improving the quality of QRQC for defective operations described above are implemented.

[0042] The beneficial effects brought by the technical solutions provided by the embodiments of the present application include:

[0043] (1) Improving the accuracy of business operations: By automatically executing corresponding business rules, human errors can be avoided, ensuring the authenticity and reliability of data and information;

[0044] (2) Improving the efficiency of problem improvement: The establishment and improvement of quality problems are real-time and comprehensive, and the improvement process for defective operations is standardized, thus promoting rapid and effective quality improvement;

[0045] (3) Reducing the manual workload: The work of manually establishing projects and the work of manually verifying the effects are cancelled. Through real-time project establishment and improvement, it is ensured that defective problem vehicles can be identified, reducing the time for manual analysis and investigation. BRIEF DESCRIPTION OF THE DRAWINGS

[0046] Figure 1 It is a schematic flowchart of the digital control method for improving the quality of QRQC for defective operations of the present application;

[0047] Figure 2 It is a schematic diagram of the functional modules of the digital control device for improving the quality of QRQC for defective operations of the present application;

[0048] Figure 3 It is a schematic diagram of the hardware structure of the digital control device for improving the quality of QRQC for defective operations of the present application. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0049] In order to enable those skilled in the art to better understand the solutions of the present application, the technical solutions in the embodiments of the present application will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all of the embodiments. Based on the embodiments of the present application, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the scope of protection of the present application.

[0050] To make the purpose, technical solutions, and advantages of the present application clearer, the embodiments of the present application will be further described in detail below in conjunction with the accompanying drawings.

[0051] In a first aspect, an embodiment of the present application provides a digital control method for improving the quality of QRQC for defective operations.

[0052] In one embodiment, referring to Figure 1 , Figure 1 is a schematic flowchart of the digital control method for improving the quality of QRQC for defective operations in the present application. As Figure 1 shown, the digital control method for improving the quality of QRQC for defective operations includes:

[0053] S1: Create a project establishment rule and an effect verification rule for improving the quality of QRQC for defective operations in the MQ system, and connect them with the electronic vehicle card data in the MQ system;

[0054] S2: Based on the push rule set in the MQ system, push the QRQC form generated by performing the project establishment operation when the project establishment rule is met to the corresponding responsible unit to confirm the responsibility;

[0055] S3: Create a temporary countermeasure logic and a cause analysis and countermeasure formulation logic in the MQ system and implement them, and perform effect verification based on the effect verification rule.

[0056] In the present application, the project establishment rule is specifically:

[0057] Summarize the defective problems with the responsible unit being the workshop entered in the electronic vehicle card in the MQ system (quality management system), and judge: When the defect level is the first level or the first plus level, and the number of defective problem pieces is at least the first quantity, conduct project establishment improvement and generate a QRQC form; when the defect level is the second level, and the cumulative number of defective problem pieces within a unit time is at least the second quantity, conduct project establishment improvement and generate a QRQC form; when there is an unfinished QRQC form in the MQ system, do not conduct repeated project establishment improvement.

[0058] Specifically, summarize the defective problems with the responsible unit being the workshop entered in the electronic vehicle card in the MQ system, including the same production line + the same vehicle model + the same defective content + the same responsible unit, and then when the defect level is the first level or the first plus level, and the number of defective problem pieces is [number of pieces], automatically conduct project establishment improvement and generate a QRQC form; when the defect level is the second level, and the cumulative number of defective problem pieces on the same day reaches 3 pieces, automatically conduct project establishment improvement and generate a QRQC form; when there is the same unfinished QRQC form in the MQ system, do not conduct repeated project establishment improvement.

[0059] In the present application, the effect verification rule is specifically:

[0060] After the improvement evidence is submitted, summarize the defective problems for which the responsible unit for entering the electronic vehicle card data in the MQ system is the workshop: When it is the same production line, the same vehicle model, the same defective content, the same responsible unit, and the defect level is the first level or the first plus level, and the number of defective problems per day for consecutive set working days is equal to 0, then it is determined that the improvement effect is excellent; When the defect level is the second level, and the number of defective problems per day for consecutive set working days is less than or equal to the third quantity, then it is determined that the improvement effect is excellent.

[0061] Specifically, after the improvement evidence is submitted, summarize the defective problems for which the responsible unit for entering the electronic vehicle card data in the MQ system is the workshop: When it is the same production line, the same vehicle model, the same defective content, the same responsible unit, and the defect level is the first level or the first plus level, and the number of defective problems per day for 5 consecutive working days is equal to 0, then it is determined that the improvement effect is excellent; When the defect level is the second level, and the number of defective problems per day for 5 consecutive working days is less than or equal to 2, then it is determined that the improvement effect is excellent.

[0062] In this application, the first level refers to defective problems that users are strongly dissatisfied with and require repair; The first plus level refers to defective problems that users are strongly dissatisfied with and cannot be used or are difficult to use; The second level is defective problems that users are dissatisfied with and will be pointed out in the market quality questionnaire. The second level is defective problems that although users are worried about, almost everyone tolerates.

[0063] Furthermore, in one embodiment, for the generation of the QRQC form, it specifically includes:

[0064] S101: Obtain the production line code, vehicle model, defective content, responsible unit, and defect level content from the MQ system;

[0065] S102: Based on the obtained content, the MQ system generates a QRQC form in combination with the project establishment rules.

[0066] For example, the MQ system automatically obtains information from the electronic vehicle card data: The Z8V-G03 vehicle model on the ZD1 line has accumulated 3 scratches on the right outer door panel with a defect level of the second level at 09:32:17 on December 12, 2024, and the responsible unit is the first general assembly workshop, which meets the project establishment rules. Therefore, the MQ system automatically generates a QRQC form numbered QRQCGC202412120026 at 09:34:32 on December 12, 2024.

[0067] Furthermore, in one embodiment, based on the push rules set in the MQ system, push the QRQC form generated by performing the project establishment operation when meeting the project establishment rules to the corresponding responsible unit to confirm the responsibility, which specifically includes:

[0068] S201: Maintain the information of the responsible unit and the liaison of the responsible unit in the MQ system;

[0069] S202: The MQ system distributes the QRQC form generated by performing the project establishment operation when meeting the project establishment rules to the account of the liaison of the responsible unit, generates a to-do task, and performs message push;

[0070] S203: The liaison of the responsible unit receives the pushed message and confirms the responsibility corresponding to the QRQC form to confirm whether it is the responsibility of this responsible unit. That is, after the liaison of the responsible unit receives the pushed message, the responsibility can be confirmed in a timely manner. When it is recognized as the responsibility of this unit, select the responsible team and the responsible team leader. When it is not recognized as the responsibility of this unit, an appeal can be made.

[0071] In this application, the content included in the temporary countermeasure logic is: the responsible person, the temporary countermeasure, and the countermeasure against recurrence. That is, when it is recognized as the responsibility of this unit, the responsible team leader fills in the responsible person, the temporary countermeasure, and the countermeasure against recurrence, and then performs subsequent operations.

[0072] In this application, the cause analysis and countermeasure formulation logic includes: carrying out cause analysis operation observation, judging whether the personal quality assurance items are revised, judging whether the standard operation manual is revised, carrying out OPL (One Point Lesson) training, carrying out operation observation after training, and uploading the improvement evidence to the MQ system. That is, set the standardized steps for cause analysis and countermeasure formulation in the MQ system.

[0073] Further, in one embodiment, effect verification is performed based on the effect verification rule, specifically including:

[0074] S301: After the improvement evidence is uploaded to the MQ system, obtain the production line code, vehicle model, defect content, responsible unit, and defect level from the electronic vehicle card data in the MQ system;

[0075] S302: Combining the content obtained from the electronic vehicle card data, the MQ system performs effect verification based on the effect verification rule to determine the improvement effect.

[0076] Specifically, on the second day after the improvement evidence is uploaded to the MQ system, obtain the production line code, vehicle model, defect content, responsible unit, defect level, etc. from the electronic vehicle card data in the MQ system. The MQ system performs effect verification based on the effect verification rule to determine whether the improvement effect is good or bad. The specific determination rules are shown in Table 1 below.

[0077] Table 1

[0078]

[0079]

[0080] In Table 1, V1 represents the first level, V2 represents the second level, OK in the verification conclusion indicates excellent improvement effect, and NG indicates poor improvement effect.

[0081] The digital control method for improving the quality of QRQC for operation defects in this application mainly includes four aspects:

[0082] (1) Realize the automation of project establishment for improving the quality of QRQC for operation defects: By setting automatic project establishment rules in the MQ system and then connecting with the data of the electronic vehicle card in the MQ system, realize the automatic project establishment for improving the quality of QRQC for operation defects;

[0083] (2) Improve the accuracy and efficiency of responsibility confirmation: By setting rules in the MQ system, realize real-time project establishment when reaching the project establishment standard and automatic message push. The liaison officers and arbitration personnel of the responsible unit can confirm the physical objects of the faulty vehicles in the first time, so as to improve the accuracy and efficiency of responsibility confirmation;

[0084] (3) Standardize the cause analysis and countermeasure formulation: Set the standardized steps of cause analysis and countermeasure formulation in the MQ system. The standardized steps are ① Conduct cause analysis operation observation, ② Judge whether the personal quality assurance items need to be revised, ③ Judge whether the standard operation manual needs to be revised, ④ Conduct OPL training, ⑤ Conduct operation observation after training, and finally upload the evidence to the MQ system;

[0085] (4) Realize the automation of effect verification: Set the rules for automatic effect verification in the MQ system and then connect with the data of the electronic vehicle card in the MQ system to realize the automation of effect verification.

[0086] Specifically, based on the established project establishment rules and the information obtained from the electronic vehicle card data, realize the real-time automatic project establishment for improving the quality of QRQC for operation defects, then conduct real-time responsibility confirmation, formulate temporary countermeasures, then standardize the cause analysis and countermeasure formulation, and finally conduct effect verification based on the effect verification rules and the information obtained from the electronic vehicle card data.

[0087] The digital control method for improving the quality of QRQC for operation defects in the embodiment of this application: (1) Improve the accuracy of business operation: By automatically executing the corresponding business rules, it can avoid human errors and ensure the authenticity and reliability of data and information; (2) Improve the efficiency of problem improvement: The project establishment and improvement of quality problems are real-time and comprehensive, and the improvement process of operation defects is standardized, thus promoting rapid and effective quality improvement; (3) Reduce the manual workload: Cancel the work of manual project establishment and the work of manual effect verification. Through real-time project establishment and improvement, ensure that the faulty vehicles with defective problems can be confirmed, and reduce the time for manual analysis and investigation.

[0088] In a second aspect, an embodiment of the present application further provides a digital control device for improving the quality of job defect QRQC.

[0089] In one embodiment, referring to Figure 2 , Figure 2 is a schematic diagram of the functional modules of the digital control device for improving the quality of job defect QRQC of the present application. As Figure 2 shown, the digital control device for improving the quality of job defect QRQC includes: a creation module, a confirmation module, and a verification module.

[0090] The creation module is used to create project establishment rules and effect verification rules for improving the quality of job defect QRQC in the MQ system and connect with the electronic vehicle card data in the MQ system; the confirmation module is used to push the QRQC form generated by performing the project establishment operation when the project establishment rules are met to the corresponding responsible unit based on the push rules set in the MQ system to confirm the responsibility; the verification module is used to create temporary countermeasure logic and cause analysis and countermeasure formulation logic in the MQ system and implement them, and perform effect verification based on the effect verification rules.

[0091] In a third aspect, an embodiment of the present application provides a digital control device for improving the quality of job defect QRQC. The digital control device for improving the quality of job defect QRQC can be a device with data processing functions such as a personal computer (PC), a laptop computer, a server, etc.

[0092] Referring to Figure 3 , Figure 3 is a schematic diagram of the hardware structure of the digital control device for improving the quality of job defect QRQC involved in the solution of the embodiment of the present application. In the embodiment of the present application, the digital control device for improving the quality of job defect QRQC may include a processor, a memory, a communication interface, and a communication bus.

[0093] Among them, the communication bus can be of any type and is used to interconnect the processor, the memory, and the communication interface.

[0094] The communication interface includes input / output (I / O) interfaces, physical interfaces, and logical interfaces, etc., which are used to implement the interconnection of components inside the digital control device for improving the quality of job defect QRQC, and interfaces for implementing the interconnection between the digital control device for improving the quality of job defect QRQC and other devices (such as other computing devices or user devices). The physical interface can be an Ethernet interface, a fiber optic interface, an ATM interface, etc.; the user device can be a display screen (Display), a keyboard (Keyboard), etc.

[0095] The memory can be various types of storage media, such as random access memory (RAM), read-only memory (ROM), non-volatile RAM (NVRAM), flash memory, optical memory, hard disk, programmable ROM (PROM), erasable PROM (EPROM), electrically erasable PROM (EEPROM), etc.

[0096] The processor can be a general-purpose processor, which can call the defective job QRQC quality improvement digital control program stored in the memory and execute the defective job QRQC quality improvement digital control method provided in the embodiments of the present application. For example, the general-purpose processor can be a central processing unit (CPU). Among them, the method executed when the defective job QRQC quality improvement digital control program is called can refer to the various embodiments of the defective job QRQC quality improvement digital control method of the present application, which will not be elaborated here.

[0097] Those skilled in the art can understand that Figure 3 the hardware structure shown in

[0098] does not constitute a limitation to the present application, and may include more or fewer components than shown in the figure, or combine certain components, or have different component arrangements.

[0099] In the description of the embodiments of the present application, terms such as "exemplary", "for example" or "for instance" are used to represent examples, illustrations or explanations. Any embodiment or design solution described as "exemplary", "for example" or "for instance" in the embodiments of the present application should not be construed as being more preferred or having more advantages than other embodiments or design solutions. Rather, the use of terms such as "exemplary", "for example" or "for instance" is intended to present relevant concepts in a specific manner.

[0100] In the description of the embodiments of the present application, unless otherwise specified, " / " means "or". For example, A / B may mean A or B. The "and / or" in the text is merely a description of the association relationship between associated objects, indicating that there can be three relationships. For example, A and / or B may mean: A exists alone, A and B exist simultaneously, and B exists alone. In addition, in the description of the embodiments of the present application, "a plurality of" means two or more than two.

[0101] In some processes described in the embodiments of the present application, there are a plurality of operations or steps that appear in a specific order. However, it should be understood that these operations or steps may not be executed in the order in which they appear in the embodiments of the present application or may be executed in parallel. The serial numbers of the operations are only used to distinguish different operations, and the serial numbers themselves do not represent any execution order. In addition, these processes may include more or fewer operations, and these operations or steps may be executed in sequence or in parallel, and these operations or steps may be combined.

[0102] Through the description of the above embodiments, those skilled in the art can clearly understand that the above-described embodiment methods can be implemented by means of software plus a necessary general hardware platform. Of course, they can also be implemented by hardware, but in many cases the former is a better implementation method. Based on such an understanding, the technical solution of the present application, in essence, or the part that contributes to the prior art can be embodied in the form of a software product. This computer software product is stored in a storage medium (such as ROM / RAM, magnetic disk, optical disk) as described above, and includes several instructions for causing a terminal device to execute the methods described in the various embodiments of the present application.

[0103] The above are only the preferred embodiments of the present application, and do not limit the patent scope of the present application. Any equivalent structural or equivalent process transformation made by using the content of the specification and drawings of the present application, or directly or indirectly applied in other related technical fields, shall be equally included in the patent protection scope of the present application.

Claims

1. A digital control method for improving the quality of poor operation QRQC, characterized in that: The digital control method for improving the quality of poor operation QRQC includes: Create project establishment rules and effect verification rules for improving the quality of defective QRQC in the MQ system, and connect with the electronic vehicle card data in the MQ system; Based on the push rules set in the MQ system, the QRQC form generated by executing the project establishment operation when the project establishment rules are met is pushed to the corresponding responsible unit to confirm the responsibility; Create and implement temporary countermeasure logic, cause analysis and countermeasure formulation logic in the MQ system, and perform effect verification based on the effect verification rules.

2. A digital control method for improving the quality of poor quality QRQC as claimed in claim 1, characterized in that: The specific project establishment rules are as follows: Summarize the defects of the workshop whose responsible unit is recorded in the electronic vehicle card in the MQ system and judge: When the defect level is the first level or the first plus level, and the number of defective items is at least the first quantity, a project improvement is initiated and a QRQC sheet is generated; When the defect level is the second level, and the number of defective items accumulated per unit time is at least the second quantity, a project improvement is initiated and a QRQC sheet is generated; When the same unfinished QRQC order exists in the MQ system, no duplicate project improvement will be carried out.

3. A digital control method for improving the quality of poor operation QRQC as claimed in claim 1, characterized in that: The effect verification rules are specifically as follows: After the improvement evidence is submitted, the responsible unit for entering the electronic vehicle card data in the MQ system is the workshop's defective issues to be summarized: If it is the same production line, the same model, the same defective content, the same responsible unit, and the defect level is the first level or the first plus level, and the number of defective problems per day is set to 0 on consecutive working days, then the improvement effect is judged to be excellent; When the defect level is the second level, and the number of defective items per day on consecutive working days is less than or equal to the third number, the improvement effect is judged to be excellent.

4. A digital control method for improving the quality of poor quality QRQC as claimed in claim 2 or 3, characterized in that: The first level refers to the bad problems that users are extremely dissatisfied with and require repairs; The first plus level refers to the bad problems that users are strongly dissatisfied with and cannot be used or are difficult to use; The second level is user dissatisfaction, which is the adverse problems pointed out in the market quality questionnaire survey.

5. A digital control method for improving the quality of poor operation QRQC as claimed in claim 1, characterized in that: The generation of QRQC form includes: Obtain production line code, vehicle model, defect content, responsible unit, and defect level content from the MQ system; Based on the acquired content, the MQ system generates a QRQC form in combination with the project establishment rules.

6. A digital control method for improving the quality of poor operation QRQC as claimed in claim 1, characterized in that: The push rules set in the MQ system push the QRQC form generated by executing the project establishment operation when the project establishment rules are met to the corresponding responsible unit to confirm the responsibility, specifically including: Maintain the information of responsible units and their contact persons in the MQ system; The MQ system will assign the QRQC form generated by executing the project establishment operation when the project establishment rules are met to the account of the contact person of the responsible unit, generate to-do tasks, and push messages; The contact person of the responsible unit receives the pushed message and confirms the responsibility corresponding to the QRQC form to confirm whether it is the responsibility of the responsible unit.

7. A digital control method for improving the quality of poor quality QRQC as claimed in claim 1, characterized in that: The temporary countermeasure logic includes: responsible person, temporary processing countermeasures, and flow prevention countermeasures; The cause analysis and countermeasure formulation logic includes: conducting cause analysis work observation, determining whether personal quality assurance items should be revised, determining whether standard operation books should be revised, conducting OPL training, conducting post-training work observation, and uploading improvement evidence to the MQ system.

8. A digital control method for improving the quality of poor quality QRQC as claimed in claim 7, characterized in that: The performing effect verification based on the effect verification rule specifically includes: After the improvement evidence is uploaded to the MQ system, the production line code, vehicle model, defect content, responsible unit, and defect level are obtained from the electronic vehicle card data of the MQ system; Combined with the content obtained from the electronic vehicle card data, the MQ system performs effect verification based on effect verification rules to determine the improvement effect.

9. A digital control device for improving the quality of poor operation QRQC, characterized in that: The digital control device for improving the quality of poor operation QRQC includes: The creation module is used to create project establishment rules and effect verification rules for improving the quality of poor operation QRQC in the MQ system, and connect with the electronic vehicle card data in the MQ system; The confirmation module is used to push the QRQC form generated by executing the project establishment operation when the project establishment rules are met to the corresponding responsible unit based on the push rules set in the MQ system to realize the confirmation of responsibility; The verification module is used to create and implement temporary countermeasure logic and cause analysis and countermeasure formulation logic in the MQ system, and perform effect verification based on the effect verification rules.

10. A digital control device for improving the quality of poor operation QRQC, characterized in that: The digital control device for improving the quality of QRQC defective operations includes a processor, a memory, and a digital control program for improving the quality of QRQC defective operations stored in the memory and executable by the processor, wherein when the digital control program for improving the quality of QRQC defective operations is executed by the processor, the steps of the digital control method for improving the quality of QRQC defective operations as described in any one of claims 1 to 8 are implemented.

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