Quality Management Activities Research Articles

Process Capability Indices for Processes when the Underlying Data are Interval-Valued

One of the important activities of process quality management is to see that the processes of interest are, in fact, stable and capable. In this paper, the problem of obtaining process capability indices (PCIs) for the processes when the underlying data are interval-valued is considered. Since interval-valued data such as systolic and diastolic readings have specifications for both lower and upper values, drawing PCIs cannot be straightforward. In this paper, we attempted to build connections between the lower and upper specifications limits based on which the resulting PCIs are drawn. This is done by considering the coefficients of inflation and the mean shift values of distributions of both lower and upper values of the interval-valued data. The new expressions for the proposed PCIs are determined. We have considered the systolic and diastolic data to demonstrate the computations of PCIs.

Optimization of a PM2.5 automatic monitoring network based on the modeling approach – A case study in Long An province, Vietnam

Abstract Currently, fine particulate matter (PM2.5) pollution is one of the well-recognized serious environmental health risks. In particular, PM2.5 has remarkably impacted the human respiratory, cardiovascular, and circulatory systems. Vietnam has frequently ranked among the countries with the highest annual mean PM2.5 levels in Southeast Asia and worldwide. Thus, building a real-time continuous ambient PM2.5 monitoring network is an important environmental management tool to reduce health effects attributable to PM2.5 exposure. Nevertheless, measurement locations of an air quality monitoring (AQM) network depend strongly on meteorological conditions in the area and sensitivity to local primary emission sources, which significantly determines the AQM network’s operational efficiency. This study aims to estimate and optimize outdoor PM2.5 monitoring sites of an automatic air quality monitoring (AAQM) network using a system of low-cost sensors in Long An province, based on the spatio-temporal distribution assessment results of PM2.5 concentrations from WRF (Weather Research and Forecasting Model)/CMAQ (the Community Multiscale Air Quality) models. The prominent study outcomes have shown that the 2018 average PM2.5 concentration in Long An province exceeded the threshold of QCVN 05:2023/BTNMT (25 μg/m3) from 5.6 to 7.9 times. Moreover, this study has proposed four optimal monitoring sites (AQ1, AQ2, AQ3, and AQ4) for the automatically real-time PM2.5 observation in the areas of Tan An City, Can Giuoc District, the ring roads 3 and 4, and Kien Tuong Town. The study has provided an important scientific basis and support for local air quality management activities; furthermore, the newly proposed monitoring locations will complement the province’s periodic monitoring program towards 2025.

Dealing with intervening factors in the patient engagement

PurposeThere is evidence that quality improvement projects developed with the participation of patients and family members are more likely to result in a sustainable change. To identify the intervening factors is an important step in promoting and supporting patient and family members’ engagement.Design/methodology/approachA survey was carried out with 90 hospitals. A total of 35 intervening factors were evaluated by the healthcare professionals from the quality area using a Likert scale. Factor analysis was applied to identify the relationship among the factors and cluster analysis and the standardized scores for each new latent variable were obtained to observe the association between them and hospitals profile. Cluster analysis allowed to group the hospitals with similar responses and to analyze whether there was any association with the profile of the institutions.FindingsA total of ten intervening factors are identified: two in the financial dimension, five in the structural and three in the personal and cultural. The standardized scores of latent variables suggest that the financial factors could be affected by the hospital capacity. The structural factors could be impacted by the accreditation status, location (region) and administrative control (ownership). And the personal and cultural factors could be by the location and dominant organizational culture. All of factors are influenced by the performed quality management activities. The cluster analysis allowed the identification of three groups in the financial dimension, and four in the other two dimensions. Except for the accreditation status in the personal and cultural dimension, no evidence of association between the groups and the variables raised to characterize the profile of the hospitals was found.Originality/valueThe study contributed to identify the relationship among the intervening factors turning possible to simplify and reduce them more comprehensively than those originally identified in the literature and at the same time maintaining the representativeness of the original variables.

Advancing Medical Quality and Patient Safety through Full Staff Engagement in Quality Management

<p>亞東醫院隨著品安發展趨勢與各式品管活動之演進，從全面推動單位品質架構、建置自動化指標監測機制、鼓勵品質改善活動等，持續活絡院內醫品病安持續改善之動力與投入，落實考量病人的需求與整合納入病人的偏好，導入各式資訊及通訊技術，不斷地優化與智能化醫療服務流程與增進醫護團隊醫療決策輔助之深度，且以區域聯盟醫院共同精進之理念，與合作醫院建立品質提升夥伴關係，共同促進與提升醫療品質與改善病人安全。</p> <p> </p><p>As Far Eastern Memorial Hospital progresses with the evolving trends in safety and quality development and various quality management activities, it has fully committed to promoting a comprehensive department quality framework, establishing automated monitoring mechanisms for indicators, and encouraging quality improvement activities. These efforts are designed to sustain the momentum and investment in continuous improvements in medical quality and patient safety within the hospital. By integrating patient needs and preferences and by incorporating various information and communication technologies, the hospital continually optimizes the intelligence of medical service processes and enhances to depth of medical decision-making for healthcare teams. Additionally, with a philosophy of shared improvement with regional alliance hospitals, Far Eastern Memorial Hospital has established quality enhancement partnerships with collaborating institutions to jointly advance medical quality and enhance patient safety.</p> <p> </p>

Decision Support System version 1.0 (DSS v1.0) for air quality management in Delhi, India

Abstract. This paper discusses the newly developed Decision Support System version 1.0 (DSS v1.0) for air quality management activities in Delhi, India. In addition to standard air quality forecasts, DSS provides the contribution of Delhi, its surrounding districts, and stubble-burning fires in the neighboring states of Punjab and Haryana to the PM2.5 load in Delhi. DSS also quantifies the effects of local and neighborhood emission-source-level interventions on the pollution load in Delhi. The DSS-simulated Air Quality Index for the post-monsoon and winter seasons of 2021–2022 shows high accuracy (up to 80 %) and a very low false alarm ratio (∼ 20 %) from day 1 to day 5 of the forecasts, especially when the ambient air quality index (AQI) is > 300. During the post-monsoon season (winter season), emissions from Delhi, the rest of the National Capital Region (NCR)'s districts, biomass-burning activities, and all other remaining regions on average contribute 34.4 % (33.4 %), 31 % (40.2 %), 7.3 % (0.1 %), and 27.3 % (26.4 %), respectively, to the PM2.5 load in Delhi. During peak pollution events (stubble-burning periods or wintertime), however, the contribution from the main sources (farm fires in Punjab–Haryana or local sources within Delhi) could reach 65 %–69 %. According to DSS, a 20 % (40 %) reduction in anthropogenic emissions across all NCR districts would result in a 12 % (24 %) reduction in PM2.5 in Delhi on a seasonal mean basis. DSS is a critical tool for policymakers because it provides such information daily through a single simulation with a plethora of emission reduction scenarios.

Reliability-oriented product manufacturing quality improvement approach based on R-KQC and DMAIC

ABSTRACT Reliability-oriented product quality improvement is of great significance to assurance the fitness of quality control and management activities in the manufacturing process. A novel reliability-oriented product manufacturing quality improvement approach based on DMAIC (i.e. define, measure, analysis, improvement, control) and driven by reliability-oriented key quality characteristic (R-KQC) is proposed to prevent reliability degradation and improve product fitness quality in the manufacturing process. First, with the manufacturing reliability based on RQR chain taken into consideration, the connotation of R-KQC is defined. Second, a reliability-oriented DMAIC process driven by R-KQC is proposed. The R-KQC identification method based on feature selection and Shaply additive explanations (SHAP) is proposed. In order to improve the quality of manufacturing process effectively, R-KQC improvement method of response surface and R-KQC control method based on time-between-events (TBE) control chart are proposed. Finally, an illustrated example of an insulating base is provided to verify the effectiveness of the proposed approach, the average failure rate of the latest batch is reduced by 37.8%.

Solutions To Improve the Quality of Managing Online Teaching Activities at Vocational Education Institutions in The Context of Globalization

This research aims to identify management solutions to quality improve online teaching activities at vocational education institutions (VEI) in the COG. In addition, identifying contiguous principles plays an important role in the process of evaluating solutions. Providing solutions will clarify theoretical and practical issues in managing online teaching activities (MOTA) at VEI. This study has the participation of 203 people, who work in the field of state vocation management of education, teachers, and staff teams who are working in several VEI. Specifically, 22 managers, and 181 lecturers and staff at vocational education establishments. A questionnaire system was determined for the survey process. By quantitative analysis of data collected during the survey; combined with theories and research results of colleagues, the comments and assessments given will contribute to accurately determining solutions to improve the quality of MOTA at vocational educational institutions in the COG. The study provides empirical evidence to evaluate the necessity and feasibility of the solutions, thereby providing accurate solutions to improve the quality of MOTA activities at vocational educational institutions in the COG. This study has identified principles in identifying solutions; at the same time, the proposed solutions will clarify the theoretical aspects of quality management activities and management of online teaching activities at VEI in the COG. The solutions provided will help VEI apply them in the general school management process and the management of online teaching activities in response to the requirements of globalization for vocational education.

STUDI TEKNIK PENGELOLAAN KUALITAS AIR PADA PEMELIHARAAN INDUK UDANG VANNAMEI (Litopenaeus vannamei) DI PT. SURI TANI PEMUKA UNIT HATCHERY SINGARAJA, BALI

Vannamei shrimp (Litopenaeus vannamei) is one of the brackish water commodities that is in great demand by the public because it has economic value and is one of the leading products in the aquaculture sector in Indonesia. The purpose of this research was to study and find out about techniques for measuring air quality in rearing vannamei shrimp broodstock at PT. Suri Tani Pemuka, Singaraja Hatchery Unit, Bali. This research method is carried out by measuring and controlling air quality in containers that will be used for vanname shrimp broodstock cultivation activities. Air quality management activities in the maintenance of vaname shrimp (Litopenaeus vannamei) broodstock starts from the initial preparation, namely the sterilization of maintenance air media through the mixing process, sedimentation process, pressure filter, ozonation process, and finally the treatment process. The results of checking air quality carried out every day by measuring the parameters DO the result are 4,4-5,1 ppm, pH 7,6-7,8, Suhu 28,3-28,5oC, Salinitas 30-31 ppt, Alkalinitas 111-113 ppm, Nitrit (NO2) 0,11-0,4 ppm, Amonium (NH4) 0,55-0,87 ppm, obtained the results of air quality measurements that were still at optimal levels that supported the life of the vanname shrimp broods that were reared .

Effect of Managers’ Positive Leadership on Quality Management Activities and Business Performance: Focusing Non-Ferrous Metal Manufacturing Industry

Effect of Managers’ Positive Leadership on Quality Management Activities and Business Performance: Focusing Non-Ferrous Metal Manufacturing Industry

Premiers docteurs juniors d’oncologie médicale : état des lieux et perspectives

The reform of the third cycle of medical studies in France has introduced of the "Junior Doctor" status during the concluding year of residency. We wish to evaluate its implementation for the first promotion of medical oncology residents during 2021-2022 in correlation with the published guidelines. AERIO conducted a cross-sectional study among French medical oncology residents. The survey was released via social networks and emails. Twenty-eight of 47 residents responded. The typical week involved one to two half-days of consultation, one dedicated to clinical research, one multidisciplinary team meetings, with the rest of time being occupied by day care (mostly) and hospitalization. Teaching and quality management activities were infrequent (monthly or less). The Junior Doctors rated their overall satisfaction at 8/10. A large majority (92.5%) felt equipped to handle most of the situations they encountered. Almost all residents (92.9%) had negotiated with their placement supervisor prior to the selection procedure. In one third of the cases (35.7%), the principle of mismatch between the number of residents and the number of training sites was not respected. Only 42.9% received training in scientific writing and 82.2% of the residents agreed on the relevance of the post-internship training modules developed in other specialties. Junior doctors in medical oncology express overall satisfaction with this reform, which aligns with the recommendations. Nevertheless, certain concerns, such as selection procedure and inadequacy, along with areas requiring improvement, such as post-internship training and scientific writing, are clearly established.

제조기반 중소기업의 전사적 품질경영활동이 생산성에 미치는 영향

제조기반 중소기업의 전사적 품질경영활동이 생산성에 미치는 영향

Development and clinical implementation of a digital system for risk assessments for radiation therapy

Before introducing new treatment techniques, an investigation of hazards due to unintentional radiation exposures is a reasonable activity for proactively increasing patient safety. As dedicated software is scarce, we developed a tool for risk assessment to design a quality management program based on best practice methods, i.e., process mapping, failure modes and effects analysis and fault tree analysis. Implemented as a web database application, a single dataset was used to describe the treatment process and its failure modes. The design of the system and dataset allowed failure modes to be represented both visually as fault trees and in a tabular form. Following the commissioning of the software for our department, previously conducted risk assessments were migrated to the new system after being fully re-assessed which revealed a shift in risk priorities. Furthermore, a weighting factor was investigated to bring risk levels of the migrated assessments into perspective. The compensation did not affect high priorities but did re-prioritize in the midrange of the ranking. We conclude that the tool is suitable to conduct multiple risk assessments and concomitantly keep track of the overall quality management activities.

The effect of the relationship between integrating information systems and total quality management on company organizational performance in Vietnam

International competition has increased the importance of quality in the corporate world. The business world is more competitive than ever, with problems and pressure growing daily. Firms face challenges in maintaining and improving Organizational Performance (OP) as they strive to maintain competitive advantage. This difficulty could be convened using complete quality management principles (TQM). Numerous organizations have successfully implemented Total Quality Management using Information Systems (IS) (TQM). Many businesses have provided higher-quality goods and services because of information technology. Combining IS, and TQM is vital in increasing a company’s organizational performance. This study investigated the relationship between total quality management activities and information systems to improve organizational performance. Using 340 sample data from firms in Vietnam, the research model was constructed and evaluated to fit the Structural Equation Model analysis. The survey was carried out between March 1 and April 30, 2021. That is confirmed by the research, establishing future directions and consequences for theorists and practitioners. Quality management, information system, and organizational performance are key terms.

INFORMATION AND ANALYTICAL SUPPORT OF THE EDUCATION QUALITY MANAGEMENT SYSTEM

The article analyzes the problem of informational and analytical provision of the education quality management system. The purpose of the article is to determine the role of modern information technologies in the process of improvement and modernization of the educational system. The components of the information system of quality management, which is defined as a set of interconnected or interacting elements of the organization for the development of policies and goals, as well as processes for achieving goals in the field of education quality, have been studied. It is proven that the formalized information system of education quality management creates a basis for planning, implementation, monitoring and improvement of education quality management activities.

The use of Cause and Effect Diagram (Fishbone) and its impact on Personal Quality Management: Case Study in a classroom during the pandemic of COVID – 19

Personal quality and total quality management (TQM) are key success factors for organizational performance. The combination of individual and team quality management actions leads to motivated people in the workplace and can create high quality processes, relationships and outputs. The Cause and Effect Diagram (Fishbone) is one of the seven most known quality tools and it provides a systematic way of looking at effects and the causes that create or contribute to those effects. It helps an organization to identify, analyze and improve quality issues.
 This study examines the use of the Cause and Effect Diagram (Fishbone) quality tool in a classroom during the pandemic of COVID – 19. After the use of the tool by the class participants on personal and team level, students were also asked to assess its impact and provide feedback over the connection of this tool application to personal quality development.
 The researchers concluded that on a team basis, the Cause and Effect Diagram helped the team members visually diagram the problems and allowed them to truly diagnose the problem, to separate a problem's content from its history, and facilitated team consensus around its causes. Finally, it is well – known that by team action are cultivated skills such as cooperation, team – thinking, determination, persuasion, creativity, inspiration, fast problem solving, synergy, immediate decision making and direct communication.
 EL Classification: Μ19
 Keywords: Total Quality Management, Personal Quality, Cause and Effect Diagram, Personal and Team Projects

The Maturity Model of Data Quality Management in Banking Industry: PT XYZ Core System Customer Data

PT XYZ, engaged in the financial industry, has a target to become a leading company in Southeast Asia and has been supported by more than 200 million customer data in its core system. This huge amount of data is expected to create business opportunities, build a risk-aware culture, and increase supremacy in the business strategy of PT XYZ. These things can be achieved if the data used is of good quality data. In fact, found anomalies in a large number of customer data. To get recommendations for improving the quality of customer data, it is necessary to assess the quality of customer data. The customer data quality assessment in this study uses the method introduced by Loshin (2011). Loshin’s Data Quality Management Model (DQMM) adopts a capability maturity level model in building its characteristic matrix. Maturity levels obtained are 3.6 (expectations), 3.6 (dimensions), 4.4 (policy), 3.8 (procedures), 4.2 (governance), 3.8 (standardization), 4, 2 (technology), and 3.8 (performance management). Regarding the expectation that senior management can achieve the highest level of data quality, 9 strategic recommendations were produced 9 strategy recommendations were submitted to PT XYZ is the result of mapping between criteria that have not been met with data quality management activity in Data Management Body of Knowledge (DMBOK) version 2.0. Measurement and monitoring of good data quality is the most influential recommendation for PT XYZ.

An optimization framework for enterprise quality infrastructure system under coupling constraints

Improving quality infrastructure (QI) is the cornerstone of improving enterprise quality management activities. Currently, the lack of a QI system optimization approach makes it difficult to exploit the role of QI for enterprise quality improvement. In this study, a generic QI system optimization framework is proposed to guide the development of enterprise QI optimization strategies, and three ideas of coupling constraints are presented in QI optimization for the first time: (1) How does optimization reflect the logical connotation of QI? (2) How to incorporate the cost of optimization? (3) How to determine and guide the direction of QI optimization? Firstly, the QI optimization index system is constructed to reflect the current QI level and future development goals of the enterprise. Secondly, the coupling constraint mechanism of QI system optimization is modeled based on the idea of the heterogeneous information network: the QI indicator sensitivity algorithm is designed to integrate it with cost and urgency. Finally, the optimization index characterizing the priority of QI index optimization is proposed to realize the formulation of enterprise optimization strategies. The framework is applied to eight QI system optimization cases of typical Oil Country Tubular Goods (OCTG) companies. The results show that the proposed framework can solve the three major factors in QI optimization, which is more in line with the enterprise optimization construction and fills the gap in the field of QI optimization. This work can provide ideas for the optimization of systems with such coupling constraint characteristics in other fields.

Quality management in anatomic pathology: The past, present, and future

AbstractOne of the challenges in anatomic pathology laboratories is to meet the increasing need for pathological diagnosis, using quality management (QM) activities and systems to ensure that patients receive their accurate and timely pathology report. The aim of this paper is to review anatomic pathology QM from both management and technical perspectives, including the past, present, and future opportunities. First, the evolution of the QM concept and scope will be discussed. Next, current QM system implementation and laboratory accreditations will be discussed from the management perspective, and common medical errors in anatomic pathology in different testing cycles will be analyzed. Finally, selected future management systems to improve the level of total QM worldwide for patient safety and the potential of informatics to be used as an auxiliary tool in anatomic pathology will be discussed.

DETERMINING THE PLACE OF HR AND MOTIVATION RESEARCH IN THE DIAGNOSTIC PROCESSES OF THE ENTERPRISE

In the presented article, on the basis of the conducted complex of studies, the place of HR and motivational studies, in general, within the diagnostic processes of the enterprise and their relationship with quality management actions and effective activities of the enterprise, taking into account the author's point of view, is determined. Systematized, taking into account the direction of research and the author's point of view, the components of effective management actions and decisions. It was found that quantitative and qualitative diagnostic studies in the field of personnel management and motivation of their work occupy a central place in effective decision-making at the enterprise to ensure its sustainable development and require significant attention from the administrative and management apparatus. The article also provides a general review of the stages of the diagnostic procedure at the enterprise and presents the author's understanding of the diagnostic procedure, taking into account the interdisciplinary approach. The place of personnel in the business diagnostic processes of enterprises is briefly considered from the standpoint of some authors, and the importance and necessity of observing the concept of human resources management during personnel management and the implementation of analytical and diagnostic measures at the enterprise is determined. The fact that the directions of HR diagnostic research and the motivational aspect can be allocated a significant amount is highlighted. Some attention is paid to the fact that for the effective implementation of diagnostics in the field of personnel management and motivation, high-quality professional training of the company's analyst or the involvement of specialized personnel and motivational audit specialists is necessary to increase its efficiency and the implementation of effective enterprise activities in modern conditions. Thus, it is shown that the efficiency of the enterprise is in a certain dependence on the personnel and motivational component obtained as a result of analytical and diagnostic procedures.

Data Quality Management Strategy To Improve Remote Sensing Data Quality: A Case Study On National Remote Sensing Data Bank

National Remote Sensing Data Bank (Bank Data Penginderaan Jauh Nasional; BDPJN) is the operational implementer in the field of remote sensing to meet the needs of national data on remote sensing images. Remote sensing images are essential in the Indonesian government for various needs, such as in regional (spatial planning, city boundaries), disaster (forest fires, floods, landslides, earthquakes, volcanic eruptions), plantation, natural resources, and environment sectors. Quality management of BDPJN’s satellite images becomes challenging due to the increasing number of products owned and users annually. For this reason, a data quality management strategy is needed to guarantee and improve the quality of BDPJN data. To develop such a strategy, an assessment of the maturity of BDPJN’s data quality man- agement was conducted from the aspect of data processing by implementing Loshin’s Data Quality Management Maturity Model (DQM3) to find out the characteristics that were lacking. The results were then mapped based on Data Quality Management (DQM) activities in DAMA-DMBOK as a recommendation for data quality management strategies. This study applies quantitative research where data collection was done by distributing questionnaires to 24 respondents who are data stewards of medium, high, and very high-resolution mosaic images. Based on the assessment, BDPJN is in the maturity level of Defined to Managed. The recommendations are 21 DQM activities that can be carried out to improve BDPJN data quality.