Quality Management Process Research Articles

Knowledge Graph Quality Management: a Comprehensive Survey

As a powerful expression of human knowledge in a structural form, knowledge graph (KG) has drawn great attention from both the academia and the industry and a large number of construction and application technologies have been proposed. Large-scale knowledge graphs such as DBpedia, YAGO and Wikidata are published and widely used in various tasks. However, most of them are far from perfect and have many quality issues. For example, they may contain inaccurate or outdated entries and do not cover enough facts, which limits their credibility and further utility. Data quality has a long research history in the field of traditional relational data and recently attracts more knowledge graph experts. In this paper, we provide a systematic and comprehensive review of the quality management on knowledge graphs, covering overall research topics about not only quality issues, dimentions and metrics, but also quality management processes from quality assessment and error detection, to error correction and KG completion. We categorize existing works in terms of target goals and used methods for better understanding. In the end, we discuss some key issues and possible directions on knowledge graph quality management for further research.

Совершенствование системы обеспечения и управления качеством процессов заготовки крови и её компонентов

Quality control is one of the key functions in the quality management process, which is the largest in type and uses different methods. The goal of quality management during production is timely detection and correction of errors. The data obtained as a result of product quality control at all stages of the product or process life cycle are the basis for making management decisions in the field of quality assurance

Models of key performance indicators for qua lity management of organizational structure processes

Production management is based on a comprehensive selection of balanced indicators reflecting all areas of the enterprise’s activities, as well as providing its current state evaluation by using a stakeholder. The successful state of the enterprise is achieved due to the desire to create conditions for the synchronized production organization through the operational management of the enterprise’s activity three indicators: key effectiveness indicators, key performance indicators and production indicators. The article is devoted to the study of the representative applicability hypothesis of key effectiveness indicators, key performance indicators, production indicators, situational proportionality identification of the indicators number and the creation of a typical template for successful management of organizational structures. Keywords synchronized production, system-technical processes, technology, innovative technologies, quality, model, quality evaluation

Development of a method for assessing the quality of project management processes based on the entropy approach

Development of a method for assessing the quality of project management processes based on the entropy approach

THE LINK BETWEEN ENTREPRENEURIAL ORIENTATION, TOTAL QUALITY MANAGEMENT AND CORPORATE SOCIAL RESPONSIBILITY

Purpose – The purpose of this paper is to investigate whether a corporate orientation strategy facilitates the integration of Total Quality Management practices as well as entrepreneurial orientation enables the improvement of corporate social responsibility practices. Finally, whether total quality management improves measures of implemented social responsibility. Design – The research carried out was explanatory and transversal. Methodology/Approach – A 44-item survey on a five-point Likert scale was administered to 155 hotels threestars and above in the United States of America. Results were obtained from the application of partial least squares structural equation modeling (PLS-SEM) using Adanco software. Findings – The results indicate that entrepreneurial orientation has a positive influence on the establishment of total quality management and social responsibility processes; likewise, there is a very strong connection between these two variables. Originality of the research – The originality of this paper stands out because it simultaneously relates three variables relevant to the hotel sector. These variables are applied in different intensities, so that the results allow visualizing the way in which each of them takes place. Likewise, the study contributes to enhance empirical evidence and verify the different theoretical frameworks developed so far. For management, this means that companies will have to develop methods to measure and qualify each of the processes carried out. The result will enable them to select the processes that contribute most to the establishment of EO, TQM and CSR. In this way, resources will be saved that could be used in other areas.

Geoinformation support for the management of lands of the nature reserve fund within the Kyiv region

The nature reserve fund and other protected areas that have this status are of great importance for the purposes of rational use and protection of land resources. In this context, the main purpose of the study presented in this article was the formation of scientific approaches to the effective management of the lands of the nature reserve fund based on the use of modern geographic information support. It is emphasized that the area of lands of the nature reserve fund and other nature protection purposes has a low percentage and requires bringing their share to at least 15%. An important problem is the lack of projected boundaries of the lands of the nature reserve fund for most of these objects with their subsequent inclusion in the National cadastral system.An approach is proposed according to which a geospatial database is formed, which contains a set of information about all objects of the nature reserve fund and other nature conservation purposes within the territory of the Kyiv region and the results of completed land management projects on the organization and establishment of their boundaries. It is established that the formed verified geospatial data of the objects of the nature reserve fund open the possibility to improve the quality of management processes and gradual transition to decision-making based on analytical information.

Using data integrity models for aviation industry business process quality management

The high complexity of modern quality management systems (QMS) of aviation enterprises leads to the need to create new tools aimed at their support and continuous improvement. A key process for managing the quality level of aviation projects is the prerequisite for data integrity. The article explores the integrity and consistency of process information as a property of the quality assurance process. Some basic approach to the organization of data integrity metrics is described. An approach to ensuring the QMS requirements based on the SysML modeling language is proposed.

ПРОФЕССИОНАЛЬНОЕ РАЗВИТИЕ ГОСУДАРСТВЕННЫХ И МУНИЦИПАЛЬНЫХ СЛУЖАЩИХ В УСЛОВИЯХ ПАНДЕМИИ: ПРОБЛЕМЫ И ПЕРСПЕКТИВЫ

The authors consider current trends in the professional development of state and municipal employees, taking into account the impact of the pandemic. The aggregation of limiting factors of the process of quality management of labor resources in the authorities has allowed to form a model of personal career path of а state and municipal employee.

Quality 4.0 for Processes and Customers

Purpose: Considering the speed of technological development towards the Industry 4.0 era the change is necessary for managerial aspects in industrial companies. In this paper an attempt is made to understand the influence of Industry 4.0 technologies on the Quality 4.0 concept better. Methodology/Approach: Two aspects were analysed in order to achieve the goal – the influence of Industry 4.0 on quality management and the influence of Quality 4.0 on customer satisfaction. The paper is based on a literature review and a pilot study based on questionnaires prepared for research purposes. Findings: It was found out that the emergence of new technologies is beneficial for Quality Management processes and customer satisfaction. Moreover, the influence is greatly described by the amount of data now available for analysis. However, as the concept of Quality 4.0 is in its infancy, the necessary change is still required. Research Limitation/Implication: As the research was conducted in the Czech Republic, the results are limited according to the territory. Also, the study was based on the literature review available from SCOPUS and WoS databases in English, thus further studies of available literature in other languages might be needed. Originality/Value of paper: Although the quality tools that are used in Quality 4.0 are already known and accepted the influence of advanced technologies on quality management is not clear. In this paper an attempt is made to understand the influence.

The HealthCAST program: Interdisciplinary, simulated-patient education with health care and theatre students

HealthCAST (Collaboratively Acted Simulation Training), a simulated patient program developed between a university's nursing and theatre programs, models how multiple departments collaborated to create an interprofessional, simulated-patient program. HealthCAST had two goals: 1 Provide opportunities for skill acquisition and feedback for health care and theatre students. 2 Apply basic quality management principles (measurement, assessment, improvement) to continuously improve the process (simulation learning) and outcomes (knowledge and skills acquisition) for participants. This article describes the process used to create the program, including an analysis of the program's results. The quality management process supported the use of HealthCAST to provide interprofessional education for students in health care and theatre. Lessons learned from the development and evaluation of the program included: (1) engage local partners; (2) use a simulated-patient model; (3) articulate expectations; (4) bridge professions; (5) debrief using open-ended questions; and (6) evaluate often, using mixed methods.

IMPROVEMENT OF HUMAN RESOURCES COMPETENCE WITH ACADEMIC QUALITY POLICY IN THE ECONOMIC SECTOR OF HIGHER EDUCATION PROVIDERS IN EAST JAVA


 This research aims to analyze and obtain a description of the improvement of HR competencies with the Academic Quality Policy in the Economic Sector of Higher Education Providers in East Java. The method used in this research is descriptive method with a qualitative approach. The results showed that the implementation of academic services carried out by all components of higher education including lecturers, staff and academic staff showed a change towards better improvement, in terms of human resource management, as well as supporting facilities that support the implementation of improving the quality of academy services. Higher education institutions need to control the quality of activities carried out at stages in the management process which include input, process, output and stakeholder satisfaction. Improving the quality of service can be carried out by applying in the service quality management process, perfecting and strengthening the curriculum, updating and perfecting learning facilities, increasing the quality qualifications and the number of human resources that are adjusted to the needs in higher education.

Safety climate, leadership and patient views associated with hip fracture care quality and clinician perceptions of hip fracture care performance.

Hip fracture is a major public health concern for older adults, requiring surgical treatment for patients presenting at hospitals across Australia. Although guidelines have been developed to drive appropriate care of hip fracture patients in hospitals, data on health outcomes suggest these are not well-followed. This study aims to examine whether clinician measures of safety, teamwork and leadership, and patient perceptions of care are associated with key indicators of hip fracture care and the extent to which there is agreement between clinician perceptions of hip fracture care performance and actual hospital performance of hip fracture care. Retrospective analysis was performed on a series of questionnaires used to assess hospital department- and patient-level measures from the Deepening our Understanding of Quality in Australia study. Data were analysed from 32 public hospitals that encompassed 23 leading hip fracture clinicians, 716 patient medical records and 857 patients from orthopaedic public hospital wards. Aggregated across all hospitals, only 5 of 12 of the key hip fracture indicators had ≥50% adherence. Adherence to indicators requiring actions to be performed within a recommended time period was poor (7.2-25.6%). No Patient Measure of Safety or clinician-based measures of teamwork, safety climate or leadership were associated with adherence to key indicators of hip fracture care. Simple proportionate agreement between clinician perceptions and actual hospital performance was generally strong, but few agreement coefficients were compelling. The development of strong quality management processes requires ongoing effort. The findings of this study provide important insights into the relationship between hospital care and outcomes for hip fracture patients and could drive the design of targeted interventions for improved quality assurance of hip fracture care.

The quality management process of a fish processing enterprise in a lean production environment

The quality management process of a fish processing enterprise in a lean production environment

Development of lean construction supply chain risk management based on enhanced neural network

In order to stay successful today, Construction Project can implement a modern company management framework. The corporation uses their philosophy is mostly to waste, focusing around the elimination of constant less change. Lean Construction Project is an appealing method that promises positive performance. Lean and, which are likely to be quite simple to implement based on recent literature in this sector, mean that areas are challenging to manage. The survey's key findings are presented in this paper, which focused on quality management and quality assurance processes and chart-based automation of a wide range of limited amounts of lean Construction projects. This research provides a multi-species, Large/small-quantity continuous management method model and an approach suggested by Lean Construction Project. The core Construction Materials Supply Chain Risk Management in this working as a condition for a stable continuity of adoption such as lean and lean, as a modern form of management, may be split between conflicting desires, to loss is not suitable as a mechanism for sense. As a result, the current study track places a strong emphasis on standardization and promotion management. The output of input neurons in neural networks is dependent on a network by weight training input. If the network properly categorized images to assist with correcting answers, the weights of the correct answers will rise, while the consequences of the incorrect answers will decrease.

Integrated Circuit Board Object Detection and Image Augmentation Fusion Model Based on YOLO.

Industry 4.0 has been a hot topic in recent years. The process of integrating Cyber-Physical Systems (CPS), Artificial Intelligence (AI), and Internet of Things (IoT) technology, will become the trend in future construction of smart factories. In the past, smart factories were developed around the concept of the Flexible Manufacturing System (FMS). Most parts of the quality management process still needed to be implemented by Automated Optical Inspection (AOI) methods which required human resources and time to perform second stage testing. Screening standards also resulted in the elimination of about 30% of the products. In this study, we sort and analyze several Region-based Convolutional Neural Network (R-CNN) and YOLO models that are currently more advanced and widely used, analyze the methods and development problems of the various models, and propose a suitable real-time image recognition model and architecture suitable for Integrated Circuit Board (ICB) in manufacturing process. The goal of the first stage of this study is to collect and use different types of ICBs as model training data sets, and establish a preliminary image recognition model that can classify and predict different types of ICBs based on different feature points. The second stage explores image augmentation fusion and optimization methods. The data augmentation method used in this study can reach an average accuracy of 96.53%. In the final stage, there is discussion of the applicability of the model to detect and recognize the ICB directionality in <1 s with a 98% accuracy rate to meet the real-time requirements of smart manufacturing. Accurate and instant object image recognition in the smart manufacturing process can save manpower required for testing, improve equipment effectiveness, and increase both the production capacity and the yield rate of the production line. The proposed model improves the overall manufacturing process.

Near-infrared spectroscopy in process control and quality management of fruits and wine

Near-infrared spectroscopy in process control and quality management of fruits and wine

The Shortcomings of the Existing Economic Theory and Their Elimination

Th e paper analyzes the state and management of country’s economics. A tuple of event-driven optimal management as a method of artifi cial intelligence has been developed. Th e characteristics of event-driven quality management of associative and structurally complex systems and processes are given. Th e events and probabilities in the management of economics and the state are considered. A measure of invalidation has been introduced for parameters. Th e method of synthesis of the probability of an event based on expert information is presented. Th e necessity of orthogonalization of the logical function and the transition to the probabilistic function have been substantiated. Th e eff ect of repeated initiating events is considered. One-dimensional optimization of the system on a logical model instead of arithmetic multiparameter optimization is presented. Schemes for managing of development and exit of economics from stagnation are given. Th e tools for event-driven quality management of systems and processes are described. Th e analysis of the shortcomings of the existing economic theory and the possibility of their elimination is carried out.

TOTAL QUALITY MANAGEMENT PRACTICES IN HEALTH CARE ORGANIZATIONS: PERCEPTION OF HEALTH CARE PROVIDERS

Turkey has experienced a substantial development in Total Quality Management (TQM), measurement, and monitoring of hospitals. Ministry of Health has developed the Quality Standards in Healthcare (QSH) in order to adapt to international quality standards of health care to the health care services as a result of long research and experience. This study aimed to determine the effects of QSH applied in a public hospital on the quality performance of the organization. The researchers used a performance measurement model to measure the impact of the recently developed QSH on the quality performance and organizational excellence of a 320-bed public hospital in a developing country. Successful applying of TQM in hospitals requires the involvement and commitment of all health care providers. The study was carried out in an attempt to explore the attitude of health care providers applying TQM practices on hospital performance in a general public hospital. We collected data from 302 healthcare providers. We used a structured questionnaire to collect data. The study was based on total quality management theory and Kanji's Business Excellence (KBEM) model. The study used a 10-point Likert-type scale. The Structural Equation Model (SEM) was used to test whether the data obtained from the participants supported the model. The variable mean scores and path coefficients were calculated. The data were collected in five different periods between July 2017 and January 2019. The results of the study showed that the average attitudes of nurses, physicians, and administrative staff about the factors of hospital quality performance differed from the attitudes of technical staff. The study results reflected some strong areas, notably leadership, customer/patient satisfaction, quality management process, measurement, and organizational excellence. The results indicated that the hospital organization was mainly based on institutional excellence, quality improvement and patient safety, leadership and management performance, patient satisfaction and institutional learning, corporate ethical performance. The results also identified opportunities for improvement in QSH standards for human resource management and the absence of standards that address existing issues in organizations with organizational structures.&#x0D; &#x0D; &lt;p&gt; &lt;/p&gt;&lt;p&gt;&lt;strong&gt; Article visualizations:&lt;/strong&gt;&lt;/p&gt;&lt;p&gt;&lt;img src="/-counters-/edu_01/0889/a.php" alt="Hit counter" /&gt;&lt;/p&gt;

Research on Safety and Quality Control Intelligent Systems of Engineering Project Based on Blockchain and BIM Technologies

Focusing on the problems of Safety and Quality Control of Engineering Project, research on technologies for safety and quality control of engineering projects based on blockchain and BIM technologies can be investigated. A software intelligent system based on BIM, blockchain, artificial intelligence and data mining technologies is established. The problem of trace and tracking in the safety and quality management process can be solved. The innovation of engineering project safety control models can be promoted.

COMPARISON OF SOFTWARE METRICS FOR QUALITY ESTIMATION OF THE SOFTWARE PRODUCTS

There is a well known principle, that you can manage only what you can measure – therefore adequate measurement and estimation of different elements in any engineering area is a very important development factor, and software engineering is not an exception. Software metrics represent numeric values of software characteristics and are used for analysis of different aspects of the product in order to predict possible problems. Software metrics can be applied to any stage of the software life cycle. For instance, on a stage of requirement analysis and the problem formulation, these metrics help to estimate the required amount of work and, respectively, the amount of financial and work resources. In addition, the metrics can be used directly in estimation of the program code complexity to assess it’s performance, effectiveness and the ability to modify it if needed. Software metrics are an important part of the whole software quality management process as they can be easily automated and applied in order to achieve some valuable technical characteristics. Moreover, they can be combined with another quality management tools and are a beneficial addition to any software product development model. In general, measuring the attributes of software during any phase of development gives a number of beneficial results to the developers as it helps to use the time, finances and effort effectively. This is achieved because of early problems identification, estimation and prevention and because of that the size, cost, quality and simplicity of the maintenance of the product is always under control. This article describes the results of research on different software metrics types and the actual representatives of these types. It assesses the usage area and the convenience of it’s usage on evaluating the quality of both a finished product and a product in the development stage.