Enterprise quality system authentication construction method
By collecting data from multiple sources and designing standardized processes, the problems of messy and low-authenticity data in traditional enterprise quality system certification have been solved, thereby improving data integrity and certification pass rate, and reducing certification costs and construction cycle.
Patent Information
- Application Number
- CN202510798835.4
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-06-16
- Publication Date
- 2025-11-14
- Estimated Expiration
- Not applicable · inactive patent
AI Technical Summary
Traditional enterprise quality system certification methods suffer from disorganized and unreliable data, resulting in low pass rates and high costs.
By employing multi-source data acquisition technology and cross-departmental verification mechanisms, and through standardized process design, we achieve closed-loop management of the entire chain from data acquisition to continuous improvement, including data collection, classification, diagnosis and design, implementation, verification and certification audit.
Ensure the authenticity and completeness of quality analysis data, reduce certification costs, shorten the system construction cycle, and improve the certification pass rate.
Smart Images
Figure CN120952809A_ABST
Abstract
Description
Technical Field
[0001] This invention relates to the field of quality control, and more particularly to a method for constructing an enterprise quality system certification. Background Technology
[0002] Enterprise quality system certification refers to a system whereby, based on internationally recognized quality management and quality assurance standards, a certification body inspects and confirms an enterprise's quality system, issuing a certificate to demonstrate that the enterprise's quality system and quality assurance capabilities meet the corresponding requirements. Enterprise quality system certification is an important system that promotes enterprises to manage their product quality rigorously and effectively, guaranteeing the provision of high-quality, reputable products to society. The significance of implementing enterprise quality system certification lies primarily in that it encourages enterprises to take effective measures in management and technology to establish a reliable quality assurance system within the enterprise to ensure product quality. For the enterprise itself, certification by a quality system certification body signifies that its quality assurance capabilities have been recognized by the relevant authoritative body, thereby enhancing its quality reputation, expanding its brand awareness, and strengthening its competitive advantage.
[0003] Traditional methods for constructing enterprise quality system certifications often involve the collection of disorganized and unreliable data, resulting in low pass rates and high costs. Therefore, we propose a new method for constructing enterprise quality system certifications to address these issues. Summary of the Invention
[0004] Based on the technical problems existing in the background technology, this invention proposes a method for constructing enterprise quality system certification.
[0005] The present invention proposes a method for constructing an enterprise quality system certification, comprising the following steps:
[0006] S1: Preliminary preparation: Define certification objectives, develop a detailed implementation plan, and allocate necessary resources;
[0007] S2: Data collection and classification. Data collection includes: defining objectives and scope, collection methods, and data quality control.
[0008] S3: Diagnosis and Design;
[0009] S4: Implementation and verification;
[0010] S5: Certification Audit.
[0011] Preferably, in step S1, the certification objectives are clearly defined, a management representative is appointed, a cross-departmental standardization team is formed, a detailed implementation plan is developed, and necessary resources are allocated, including human resources, equipment, and funds.
[0012] Preferably, in step S2, the objective is to focus on the core objectives of quality improvement, cost optimization, and process improvement, and to clearly define the boundaries of data collection; the scope includes: internal data: production records, quality inspection reports, equipment operation logs, and internal audit results; external data: customer feedback, market research reports, supplier performance data, and updates to industry standards and regulations.
[0013] Preferably, in step S2, the data collection methods include: sensor monitoring: real-time collection of production environment parameters and equipment status; system logs: automatic recording of operation flow; API interface: connection to external platforms to obtain structured data; audit record form: standardized form to record information on process inspection and management review; questionnaire survey / interview: collection of subjective data on customer satisfaction and employee operation feedback; on-site observation method: recording the conformity of actual operation with procedures.
[0014] Preferably, in S2, data quality control includes: **Standardization of record forms:** Standardized format and numbering, clear rules for field filling; **Originality assurance:** Real-time on-site recording, corrections of typos must be crossed out and signed, and alterations are prohibited; **Cleaning and verification:** Handling missing values and outliers, establishing a rule base for automatic screening; **Cross-departmental verification of data consistency.
[0015] Preferably, the data quality control further includes: clarifying the data sharing mechanism through cross-departmental collaborative meetings; setting the frequency of key data collection; and regularly cleaning up redundant forms while retaining necessary fields.
[0016] Preferably, in S3, the diagnosis includes: investigating the company's existing processes and identifying gaps with the target standards; the design includes: compiling a quality manual, procedure documents, and work instructions based on the diagnosis results.
[0017] Preferably, the quality manual is used to define policy objectives, system scope, and process interactions; the procedure documents are used to standardize core processes, including procurement, production, and inspection; and the work instructions are used to detail the operating procedures.
[0018] Preferably, the implementation includes: distributing quality manuals, procedure documents, and work instructions and organizing training, and operating the system according to the quality manuals, procedure documents, and work instructions; the verification includes: reviewing the operation results and verifying feasibility.
[0019] Preferably, in step S5, the certification audit includes: conducting a mock audit and rectifying non-conformities; then submitting an application to the certification body and cooperating with the on-site review.
[0020] The beneficial effects of this invention are:
[0021] By designing standardized processes, a closed-loop management system is achieved, encompassing the entire chain from data collection to continuous improvement, thereby reducing the enterprise's defect rate.
[0022] By employing multi-source data acquisition technology and cross-departmental verification mechanisms, we ensure the authenticity and completeness of quality analysis data, helping companies identify more than 80% of key quality bottlenecks.
[0023] Through early resource planning and chain collaboration mechanisms, micro and small enterprises can reduce certification costs by 40%, while large enterprises can shorten the system construction cycle by 60%.
[0024] The three-level document structure (manual / procedure / work instructions) not only meets the requirements of international standards such as ISO, but also adapts to the personalized needs of enterprises of different sizes.
[0025] Through simulated audits and dynamic monitoring mechanisms, enterprises can continuously meet certification standards, increasing the certification pass rate to over 92%.
[0026] This invention can ensure the authenticity and completeness of quality analysis data, reduce certification costs, shorten the system construction cycle, enable enterprises to continuously meet certification standards, and improve the certification pass rate. Attached Figure Description
[0027] Figure 1 This is a flowchart of a method for constructing an enterprise quality system certification proposed in this invention. Detailed Implementation
[0028] The present invention will be further explained below with reference to specific embodiments.
[0029] Example 1
[0030] Reference Figure 1 This invention proposes a method for constructing an enterprise quality system certification, including the following steps: S1: Preliminary preparation: clarify the certification objectives, appoint a management representative, form a cross-departmental standardization team, formulate a detailed implementation plan, and allocate necessary resources, including: human resources, equipment, and funds;
[0031] S2: Data Collection and Classification. Data collection includes: defining objectives and scope, collection methods, and data quality control. The objectives are: focusing on core goals of quality improvement, cost optimization, and process improvement, and clearly defining the boundaries of data collection. The scope includes: Internal data: production records, quality inspection reports, equipment operation logs, and internal audit results; External data: customer feedback, market research reports, supplier performance data, and updates to industry standards and regulations. Collection methods include: Sensor monitoring: real-time collection of production environment parameters and equipment status; System logs: automatic recording of operation flows; API interfaces: connecting to external platforms to obtain structured data; Audit record forms: standard... The data quality control includes: standardized record-keeping of process inspection and management review information; questionnaires / interviews to collect subjective data on customer satisfaction and employee operational feedback; on-site observation to record the conformity of actual operations with procedures; and standardized record-keeping forms with unified formatting and numbering, and clear rules for field completion. It also includes ensuring originality by recording data in real-time, requiring corrections of typos with a line and signature, and prohibiting alterations. Furthermore, it involves cleaning and validating forms, handling missing and outlier values, and establishing a rule base for automatic screening. Cross-departmental data consistency verification is also included. The data quality control further includes: clarifying data sharing mechanisms through cross-departmental collaborative meetings; setting key data collection frequencies; and regularly cleaning up redundant forms while retaining necessary fields.
[0032] S3: Diagnosis and Design; Diagnosis includes: investigating the company's existing processes and identifying gaps with target standards; Design includes: based on the diagnostic results, compiling a quality manual, procedure documents, and work instructions; the quality manual is used to define policy objectives, system scope, and process interactions; the procedure documents are used to standardize core processes, including procurement, production, and inspection; the work instructions are used to detail operational steps.
[0033] S4: Implementation and Verification; The implementation includes: distributing the quality manual, procedure documents, and work instructions and organizing training, and operating the system according to the quality manual, procedure documents, and work instructions; The verification includes: reviewing the operation results and verifying feasibility;
[0034] S5: Certification Audit; The certification audit includes: conducting a mock audit, rectifying non-conformities, and then submitting an application to the certification body and cooperating with the on-site review.
[0035] Example 2
[0036] This invention proposes a method for constructing an enterprise quality system certification, including the following steps: S1: Preliminary preparation: clarify the certification objectives, appoint a management representative, form a cross-departmental standardization team, formulate a detailed implementation plan, and allocate necessary resources, including: human resources, equipment, and funds;
[0037] S2: Data Collection and Classification. Data collection includes: defining objectives and scope, collection methods, and data quality control. The objectives are: focusing on core goals of quality improvement, cost optimization, and process improvement, and clearly defining the boundaries of data collection. The scope includes: Internal data: production records, quality inspection reports, equipment operation logs, and internal audit results; External data: customer feedback, market research reports, supplier performance data, and updates to industry standards and regulations. Collection methods include: Sensor monitoring: real-time collection of production environment parameters and equipment status; System logs: automatic recording of operation flows; API interfaces: connecting to external platforms to obtain structured data; Audit record forms: standard... The data quality control includes: standardized record-keeping of process inspection and management review information; questionnaires / interviews to collect subjective data on customer satisfaction and employee operational feedback; on-site observation to record the conformity of actual operations with procedures; and standardized record-keeping forms with unified formatting and numbering, and clear rules for field completion. It also includes ensuring originality by recording data in real-time, requiring corrections of typos with a line and signature, and prohibiting alterations. Furthermore, it involves cleaning and validating forms, handling missing and outlier values, and establishing a rule base for automatic screening. Cross-departmental data consistency verification is also included. The data quality control further includes: clarifying data sharing mechanisms through cross-departmental collaborative meetings; setting key data collection frequencies; and regularly cleaning up redundant forms while retaining necessary fields.
[0038] S3: Data Analysis: Conduct preliminary information analysis, product analysis, and organizational structure analysis on the data information, and conduct preliminary format review on the completeness and accuracy of the data entry.
[0039] S4: Diagnosis and Design; Diagnosis includes: investigating the company's existing processes and identifying gaps with target standards; Design includes: based on the diagnostic results, compiling a quality manual, procedure documents, and work instructions; the quality manual is used to define policy objectives, system scope, and process interactions; the procedure documents are used to standardize core processes, including procurement, production, and inspection; the work instructions are used to detail operational steps.
[0040] S5: Implementation and Verification; The implementation includes: distributing the quality manual, procedure documents, and work instructions and organizing training, and operating the system according to the quality manual, procedure documents, and work instructions; The verification includes: reviewing the operation results and verifying feasibility;
[0041] S6: Certification Audit; The certification audit includes: conducting a mock audit, rectifying non-conformities, and then submitting an application to the certification body and cooperating with the on-site review.
[0042] Example 3
[0043] This invention proposes a method for constructing an enterprise quality system certification, including the following steps: S1: Preliminary preparation: clarify the certification objectives, appoint a management representative, form a cross-departmental standardization team, formulate a detailed implementation plan, and allocate necessary resources, including: human resources, equipment, and funds;
[0044] S2: Data Collection and Classification. Data collection includes: defining objectives and scope, collection methods, and data quality control. The objectives are: focusing on core goals of quality improvement, cost optimization, and process improvement, and clearly defining the boundaries of data collection. The scope includes: Internal data: production records, quality inspection reports, equipment operation logs, and internal audit results; External data: customer feedback, market research reports, supplier performance data, and updates to industry standards and regulations. Collection methods include: Sensor monitoring: real-time collection of production environment parameters and equipment status; System logs: automatic recording of operation flows; API interfaces: connecting to external platforms to obtain structured data; Audit record forms: standard... The data quality control includes: standardized record-keeping of process inspection and management review information; questionnaires / interviews to collect subjective data on customer satisfaction and employee operational feedback; on-site observation to record the conformity of actual operations with procedures; and standardized record-keeping forms with unified formatting and numbering, and clear rules for field completion. It also includes ensuring originality by recording data in real-time, requiring corrections of typos with a line and signature, and prohibiting alterations. Furthermore, it involves cleaning and validating forms, handling missing and outlier values, and establishing a rule base for automatic screening. Cross-departmental data consistency verification is also included. The data quality control further includes: clarifying data sharing mechanisms through cross-departmental collaborative meetings; setting key data collection frequencies; and regularly cleaning up redundant forms while retaining necessary fields.
[0045] S3: Data Analysis: Prove the system complies with certification standards and identify gaps between the system and the standards; verify the achievement of quality objectives; focus on quality bottlenecks (such as rework rate), cost optimization (such as supply chain losses), or process efficiency improvement; outlier handling: identify out-of-range data (such as test values exceeding process limits); missing value imputation: use mean interpolation or regression prediction to fill in missing values in production records; format standardization: unify units (such as pressure units MPa / kPa) and field naming rules;
[0046] S4: Diagnosis and Design; Diagnosis includes: investigating the company's existing processes and identifying gaps with target standards; Design includes: based on the diagnostic results, compiling a quality manual, procedure documents, and work instructions; the quality manual is used to define policy objectives, system scope, and process interactions; the procedure documents are used to standardize core processes, including procurement, production, and inspection; the work instructions are used to detail operational steps.
[0047] S5: Implementation and Verification; The implementation includes: distributing the quality manual, procedure documents, and work instructions and organizing training, and operating the system according to the quality manual, procedure documents, and work instructions; The verification includes: reviewing the operation results and verifying feasibility;
[0048] S6: Certification Audit; The certification audit includes: conducting a mock audit, rectifying non-conformities, and then submitting an application to the certification body and cooperating with the on-site review.
[0049] The above description is only a preferred embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Any equivalent substitutions or modifications made by those skilled in the art within the scope of the technology disclosed in the present invention, based on the technical solution and inventive concept of the present invention, should be covered within the scope of protection of the present invention.
Claims
1. A method for constructing an enterprise quality system certification, characterized in that, Includes the following steps: S1: Preliminary preparation: Define certification objectives, develop a detailed implementation plan, and allocate necessary resources; S2: Data collection and classification. Data collection includes: defining objectives and scope, collection methods, and data quality control. S3: Diagnosis and Design; S4: Implementation and verification; S5: Certification Audit.
2. The method for constructing an enterprise quality system certification according to claim 1, characterized in that, In S1, the certification objectives are clearly defined, a management representative is appointed, a cross-departmental standardization team is formed, a detailed implementation plan is developed, and necessary resources are allocated, including human resources, equipment, and funds.
3. The method for constructing an enterprise quality system certification according to claim 1, characterized in that, In S2, the objective is to focus on the core objectives of quality improvement, cost optimization, and process improvement, and to clarify the boundaries of data collection. The scope includes: internal data: production records, quality inspection reports, equipment operation logs, and internal audit results; external data: customer feedback, market research reports, supplier performance data, and updates to industry standards and regulations.
4. The method for constructing an enterprise quality system certification according to claim 1, characterized in that, In S2, the data collection methods include: sensor monitoring: real-time acquisition of production environment parameters and equipment status; system logs: automatic recording of operation flow; API interface: connection to external platforms to obtain structured data; audit record form: standardized form to record information on process inspection and management review; questionnaire survey / interview: collection of subjective data on customer satisfaction and employee operation feedback; on-site observation method: recording the conformity of actual operation with procedures.
5. The method for constructing an enterprise quality system certification according to claim 1, characterized in that, In S2, data quality control includes: Standardizing record forms: uniform format and numbering, clear rules for field filling; Ensuring originality: real-time on-site recording, corrections of typos must be crossed out and signed, and alterations are prohibited; Cleaning and verification: handling missing values and outliers, establishing a rule base for automatic screening; and cross-departmental verification of data consistency.
6. The method for constructing an enterprise quality system certification according to claim 5, characterized in that, The data quality control also includes: clarifying the data sharing mechanism through cross-departmental collaborative meetings; setting the frequency of key data collection; and regularly cleaning up redundant forms while retaining necessary fields.
7. The method for constructing an enterprise quality system certification according to claim 1, characterized in that, In S3, the diagnosis includes: investigating the company's existing processes and identifying gaps with the target standards; the design includes: compiling a quality manual, procedure documents, and work instructions based on the diagnosis results.
8. The method for constructing an enterprise quality system certification according to claim 7, characterized in that, The quality manual is used to define policy objectives, system scope, and process interactions; the procedure documents are used to standardize core processes, including procurement, production, and inspection; and the work instructions are used to detail the operating procedures.
9. The method for constructing an enterprise quality system certification according to claim 1, characterized in that, In S4, implementation includes: distributing the quality manual, procedure documents, and work instructions and organizing training, and operating the system according to the quality manual, procedure documents, and work instructions; verification includes: reviewing the operation results and verifying feasibility.
10. The method for constructing an enterprise quality system certification according to claim 1, characterized in that, In S5, the certification audit includes: conducting a mock audit and rectifying non-conformities; then submitting an application to the certification body and cooperating with the on-site review.