Automation of the control of technical documentation for the product of mechanical engineering and instrumentation

A. V. Reshetnikova* and A. N. Feofanov

*Correspondence:
A. V. Reshetnikova,
g524@list.ru

Received: 28 June 2022; Accepted: 15 July 2022; Published: 01 August 2022.

The article discusses the quality control of technical documentation for a product of mechanical engineering and instrumentation during metrological examination based on automatic calculation of the quality factor.

Keywords: product quality, technical documentation, metrological expertise, automation, verification of technical documentation, mechanical engineering, instrumentation

Introduction

The modern world is extremely difficult to imagine without information technology, which is firmly rooted in people’s lives. These technologies help us store and process information, manage documents, work with e-mail, and find the necessary information on various resources on the Internet, etc.

Intensive automation and digitalization cover more and more production processes every day. Future production systems will inevitably be based on a large number of digital solutions and data-driven smart tools, leading to the full digitalization of production and sustainable resource management.

Metrological assurance is an important element in the structure of production. It is responsible for the quality of products and provides reliable information to the consumer. The legal basis for metrological support is the Law of the Russian Federation “On Ensuring the Uniformity of Measurements.” In addition, an important aspect of metro- logical support is metrological expertise—analysis and assessment of the correctness of establishing and observing metrological requirements in relation to the object subjected to expertise. The metrological examination is carried out on a mandatory (mandatory metrological examination) or voluntary basis.

Metrological examination of documentation

Metrological expertise is the analysis and evaluation of technical solutions in terms of metrological support (technical solutions for the choice of measured parameters, the establishment of requirements for measurement accuracy, the choice of methods and measuring instruments, and their metrological maintenance).

Metrological expertise is a tool of state regulation in the field of metrology, which stands guard over ensuring the uniformity of measurements.

However, as the technical level of the documentation increases, non-metrology engineers may make inaccuracies:

– incorrectly choose a measuring instrument

– apply the wrong method

– do not take into account the requirements of thematic regulatory documents

– allow other metrological errors.

This can lead to a high percentage of scrap and unnecessary costs for debugging the process.

To avoid this, the metrological examination of technical documentation should be debugged into the organization. Draft documents should be subjected to metrological examination and checked for compliance with the requirements and norms that are established in the regulatory and technical documentation.

Classification of non-conformances by categories depending on their content

Over the course of 7 years of work, materials were collected on the identified inconsistencies (errors) in the technical documentation following the results of the metrological examination. In the process of analyzing these errors, a classification of non-conformities into categories was developed depending on their content.

The classification of non-conformities is necessary to assess the quality of the developed technical documentation.

Identified inconsistencies in the technical documentation, depending on their causes and consequences, are divided into the following categories:

Category 1 – inconsistencies that lead to the return of technical documentation without consideration

Category 2 – inconsistencies associated with non-compliance with the requirements established in external regulatory and technical documents

Category 3 – inconsistencies associated with non-compliance with internal regulatory, technical, organizational, and administrative documents:

Category 4 – inconsistencies associated with grammatical, spelling, and stylistic errors in documents

Category 5 – discrepancies that require coordination with other services

Category 6 – other inconsistencies.

The classification of non-conformities by categories depending on their content is given in Table 1.

TABLE 1
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Table 1. Classification of inconsistencies in technical documentation.

Documentation quality assessment is carried out in the following order:

(a) inconsistencies identified during the ME are classified in accordance with the above tables (classifier).

At the same time, each non-compliance, depending on the category, is evaluated by a certain number of points, where:

(1) 1 non-compliance of category 1 = 5 points

(2) 1 non-compliance 2.3 categories = 2 points

(3) 1 non-compliance of 4–6 categories = 1 point.

(b) the quality factor of the documentation is determined by the following formula:

Fq1Fn+1Fn=SN

where: Fq – quality factor

Fn – non-conformity weighting factor

S – sum of scores of inconsistencies

N – number of formats.

This classification can be used to determine the quality of technical documentation in the process of metrological examination (Figures 13).

FIGURE 1
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Figure 1. Journal of metrological examination with automatic calculation (Fn) of the coefficient of the weight of the discrepancy and (Fq) of the quality factor.

FIGURE 2
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Figure 2. Formula (Fn) of the weight factor of the discrepancy.

FIGURE 3
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Figure 3. Formula (Fq) quality factor.

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Conclusion

Based on the identified inconsistencies (errors) in the technical documentation during the metrological examination and on the basis of the classification, it is possible to analyze the quality assessment of the developed technical documentation by the quality factor.

Author contributions

AR and AF contributed to the study conception and design. AR contributed to the collection and processing of the material, performed the statistical processing, and wrote the manuscript. AF edited the manuscript. Both authors contributed to the article and approved the submitted version.

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