Education, Training and Certification in Thermal Spraying

B a c k g r o u n d . Nowadays, Ukraine's defense and security sector is undergoing fundamental reforms in the procurement of defense products, particularly in the field of quality assurance of such products through the assessment of quality management systems within the framework of Governmental Quality Assurance (GQA) actions. These reforms require both theoretical and methodological justification regarding the directions of such changes and the mechanisms for their implementation. An important issue is the establishment of unified terminology in the field of quality management and management in general, harmonized with the corresponding terminology of EU and NATO member states. The full-scale invasion of russia into Ukraine has brought to the forefront issues related to the implementation of a governmental quality assurance system. The goal of the study is to analyze the Soviet quality control system and compare it with the state quality assurance system, as well as to justify the establishment of modern management systems in Ukraine. M e t h o d s . The study employed methods such as analysis, synthesis, and generalization, through which proposals for establishing a new system for ensuring the quality of defense-related products were developed and substantiated. R e s u l t s . In the course of the research, the state of the quality control system for defense products was analyzed, specifically its organizational structure, regulatory framework, and capacity to ensure product quality under modern conditions. The study also examined the state quality assurance system according to the following components: structure, scope of work, documentation, and training of specialists. Possible mechanisms of interaction between these systems were explored at the level of individual elements. A significant part of the research addressed issues of terminological inconsistency and conceptual frameworks in the field of management and quality management, taking into account the specific characteristics of the defense sector. C o n c l u s i o n s . An institutional approach was applied to analyze the existing quality control system and the state quality assurance system. The main directions for implementing a modern quality assurance system in the defense sector were identified. This system should be based on a risk-oriented approach and the evaluation of quality management processes within enterprises supplying defense-related products.

The article deals with specific features of quality management at Russian enterprises in conditions of intensive import-substitution connected with introduction of economic sanctions against our country. The article briefly studies preconditions of imposing economic sanctions, analyzes specificity of conducting import-substitution in the Russian Federation in recent years, identifies key problems in the field of quality management in respect of importsubstituted products and provides recommendations aimed at raising the efficiency of quality management at Russian enterprises in the current situation. In the field of import-substitution we can observe certain positive trends however we face a lot of problems due to withdrawal from Russia and refusal to cooperate on the part of Western companies, which caused the necessity to re-adjust production processes, to alter supply chains and to build renovated systems of product quality management. Provision of high quality of products is one of the most important objectives in new circumstances, but for this end we shall search for new suppliers of high-quality raw materials and components and we need serious changes in business-processes. Current problems in this field include perception of quality management only from instrumental point of view, insufficient attention to customer needs, the absence of clear-cut understanding of benefits provided by executives’ adherence to philosophy of total quality management, difficulties with introduction of process approach to quality management, the absence at the enterprise of orientation to continuous improvement of quality indicators and so on. When these problems are resolved, we can reach success in the field of quality management.

The article provides a detailed overview of the applications of quality management systems (QMS) and methods for their automation. Different methods of quality management are considered, which are used to obtain metrics for monitoring the quality of production business processes. Automation of monitoring, analysis, and evaluation of the QMS is becoming an increasingly urgent task in today's market conditions. It allows improving the efficiency of enterprises to develop products and services. Various approaches to automate the process of monitoring and evaluating the QMS, including the use of multidimensional data analysis and neural network technologies, are also analyzed in the article. Multidimensional data analysis helps identify hidden patterns and trends in production and quality management processes. Neural network technologies provide the ability to make informed decisions based on the data obtained. The article also discusses the development of a growth strategy using QMS. The development strategy should be aimed at continuously improving product and service quality, increasing enterprise efficiency, and meeting consumer demands. The concept of an information system for monitoring, measuring, analyzing, and evaluating the QMS is a complex of software and hardware tools that ensure the automation of quality control processes. This system allows obtaining objective data on product and service quality and making informed and qualitative decisions to improve quality based on data analytics. Thus, the article represents a valuable source of information for specialists in the field of quality management, heads of enterprises and organizations, as well as anyone interested in improving product and service quality.

In the context of strict regulatory requirements and the desire for continuous improvement, pharmaceutical companies are faced with the need to improve the efficiency and reliability of their quality management systems (QMS). Traditional approaches to the audit of QMS documentation, based on manual analysis, are time-consuming, subject to the human factor and do not always provide the necessary depth of analysis FarBrain, which uses artificial intelligence (AI) technologies for automated audit of QMS documents. The system is designed to analyze various types of documents, including standard operating procedures (SOPs), corrective and preventive action plans (CAPAs), quality policies and reports, for compliance with a wide range of international and national standards, such as EAEU GMP, ICH Q10, ISO 9001, PIC/S Guide, GAMP 5 and FDA 21 CFR Part 11. The system is based on natural language processing (NLP) and machine learning (ML) algorithms that automatically extract key information, identify inconsistencies and potential risks, and make recommendations for improvement. The article describes in detail the methods behind the operation of the system, including the architecture, the AI algorithms used, and the validation process in accordance with the principles of GMP. In addition, the results demonstrating the functionality of the system are presented and compared with other existing AI solutions in the field of quality management. The advantages, challenges and prospects of introducing AI into QMS audit processes are discussed, emphasizing the importance of integration with other digital systems and the development of predictive analytics to ensure a high level of quality and safety of pharmaceutical products.

The aim of this paper is to present and discuss the benefits of online training in quality control and quality management for professionals and managers of small medium enterprises (SMEs). Moreover, this paper is an attempt to understand how this training can contribute to the improvement of SMEs’ activities and the achievement of their business performance objectives. This kind of training includes topics such as managing quality, quality processes, auditing, total quality, ISO standards, fault proofing, an adaptive learning culture and sustainable change management. This work describes the main predicted benefits according to the results of a European project which aimed to create and validate an online platform which was related to the field of quality management to provide effective quality training for SMEs. The international standards covered by this project are: ISO 9001 (quality management systems), ISO 14001 (environmental management systems) and HACCP (hazard analysis and control of the critical points ).

The given article regards the theoretical approaches to ensuring the quality of high education by means of institutional audit. Emphasis is placed on the need to provide quality educational services in a civilized society, in accordance with which the importance of institutional audit in Ukrainian legislation is determined. The audit is designed to ensure the quality of educational services in general secondary education, so its active implementation in the educational process is the key to effective development of the educational sphere. The quality of education is a basis for ensuring and improving the quality of human life, which is the key objective of the state. The article analyzes the scientific views on the notion of “quality of education” and addresses the legislative interpretation of the quality of education and tools for its provision. Having analyzed the scientific notion of “quality of education”, we consider the following definition to be the most appropriate: the quality of education is a multifaceted model of social standards and requirements related to a personality, which changes in the course of time; to the educational environment where the personality’s development and improvement takes place; and to the system of education that implements it at certain stages of the personality’s learning. On a legislative level, the system of education quality management includes the following components: − system of quality management in educational institutions (internal system of education quality management); − external system of education quality management; − system of quality management of the activity of managerial bodies and institutions in charge of external education quality management. Institutional audit as a tool for ensuring the quality of education is aimed at helping schools to become more efficient and to further develop and sustain an education quality culture that is based on transparency, innovation and partnership of all the participants of the educational process.

Artificial Intelligence (AI) is exponentially developing within the quality management system (including quality assurance, quality development, customer satisfaction, etc.) within the automotive industry under the model of Industry 4.0. Within this paper, the application of AI technologies is analyzed for the enhancement of the quality processes and big data, so that higher standards of reliability and safety in automotive manufacturing are fulfilled. Machine learning, deep learning, convolutional neural network, computer vision as part of the AI solutions are used for the detection of the defects, to optimize the production parameters, to link the internal data with the external ones, with the final scope of the prediction of potential failures. The real-time data analysis is the most significant benefit for the automation of the big quality data, where AI improves the accuracy, eliminates the human error, and reduces considerably the production downtime. This research presents the major advantages and opportunities that AI solutions grant within the quality management field, underscoring its vital role for the achievement of higher quality standards, reducing costs associated with non-quality, and nurturing innovation. The findings underscore that the continuous integration of AI into quality assurance processes is essential for maintaining competitiveness and meeting the increasingly stringent demands of the global automotive market.

The aim of the paper is to improve the quality management system, in the field of the family business succession process management, with the application of TRIZ contradiction modelling. In this work, the authors focus on cognitive activity in contradictions modelling, which is the basis for the first two stages of ARIZ85C, i.e., analysing the problem and analysing the problem model. The application of TRIZ contradiction modelling in the field of quality management is discussed. The selected methods of the acquisition of contradictions are analysed. To identify the contradictions in management systems the method which facilitate the implication of quantitative approach using Grey Incidence Analysis is developed. As a result, the information about the system components and their interactions, functions, contradictions and about the degree of grey incidence between the system components and the system as a whole is obtained. The proposed concept of contradiction modelling is applied and tested in selected family enterprise.

Subjektives Qualitätsverständnis von Vertragszahnärzten im Umgang mit Qualitätsmanagement – Ergebnisse eines bundesweiten Surveys

Topic analysis of studies on total quality management and business excellence: an update on research from 2010 to 2019

Purpose – The purpose of this paper is to propose a generic model of Integrated Management System of Quality, Environment and Safety (IMS-QES) that can be adapted and progressively to assimilate various Management Systems, of which highlights: ISO 9001 for Quality; ISO 14001 for Environment; OHSAS 18001 for Occupational Health and Safety. Design/methodology/approach – The model was designed in the real environment of a Portuguese Organization and 160 employees were surveyed. The rate response was equal to 86 percent. The conceived model was implemented in a first phase for the integration of Quality, Environment and Safety Management Systems. Findings – Among the main findings of the survey the paper highlights: the elimination of conflicts between individual systems with resources optimization; creation of added value to the business by eliminating several types of wastes; the integrated management of sustainability components in a global market; the improvement of partnerships with suppliers of goods and services; reducing the number of internal and external audits. Originality/value – This case study is one of the first Portuguese empirical researches about IMS-QES and the paper believes that it can be useful in the creation of a Portuguese guideline for integration, namely the Quality Management Systems; Environmental Management Systems and Occupational Health and Safety Management Systems among others.

Little is known about the complementary performance benefits associated with facilities’ combined use of both quality management systems (QMS) and environmental management systems (EMS), and how these performance benefits might differ from those associated with facilities’ use of only one of these management systems (or neither). We suggest that complementarities arise because each management system fosters the development of internal capabilities that facilitates the adoption and routine operationalization of the other, while maintaining differentiated goals that enhance strategic value. We examine these relationships using a sample of 2,619 manufacturing facilities operating within six OECD countries, while controlling for self-selection issues. Our findings support the idea of complementarity in that facilities, that adopt both QMS and EMS, are associated with positive business performance more than facilities that adopt either QMS or an EMS on its own, or no management system.

In today’s dynamic business environment, the pursuit of continuous improvement and sustainable growth encourages organizations to adopt quality management frameworks. ISO 9001 and EFQM are two prominent models in this field. They are widely recognized for their ability to help organizations achieve their quality and excellence goals. This study provides a comprehensive overview of these two fundamental frameworks, examining their practical impacts. Utilizing a systematic literature review methodology, the study conducts a comparative analysis of ISO 9001 and EFQM. The research concludes with significant findings for decision-making processes in the field of quality management. It offers valuable insights for organizations considering the adoption of ISO 9001 or EFQM, serving as a guide for their transition journey.

Purpose This study introduces advancing knowledge in the field of quality management, positioning it as an evolution of traditional quality management practices that is specifically tailored to meet the demands of today's smart systems and the ongoing digital transformation. To further contextualize Quality 6.0 (Q6.0), the study explores its integration within the broader framework of Industry 6.0 (I6.0), an emerging paradigm that transcends the automation and digitalization focus of its predecessors, Industry 4.0 (I4.0) and Industry 5.0 (I5.0). Design/methodology/approach The study applies the Q6.0 framework to the selection of Intelligent Traffic Management Systems (ITMS), a critical component of smart city initiatives aimed at optimizing traffic flow, reducing congestion and enhancing overall urban mobility. Five ITMS alternatives are evaluated and ranked using a Multi-Criteria Decision-Making (MCDM) approach. Specifically, the Intuitionistic Fuzzy Step-wise Weight Assessment Ratio Analysis (IF-SWARA) method is employed for criteria weight determination, and the Intuitionistic Fuzzy COmbinative Distance-based ASsessment (IF-CODAS) method is used for ranking the alternatives. Findings The findings highlight the importance of integrating advanced quality management practices into the development and deployment of intelligent systems, particularly in urban infrastructure. Practical implications I6.0 emphasizes human-centered, sustainable and resilient systems that leverage advanced technologies such as artificial intelligence, robotics and the Internet of Things (IoT) to create smart, autonomous and adaptive ecosystems. Q6.0 aligns with this vision by incorporating multiple key criteria that reflect the evolving demands of modern quality management. Originality/value By introducing Q6.0 to the academic literature, this study provides a robust framework for future research and practical applications in the era of I4.0 and beyond.

Comparative study of the Causal Matrix and Causal Determinant