In order to perform a successful outsourcing, we needs the SLA through improving the quality of IT services. In particular SLA metrics and evaluation criteria is an important factor as to substitute the IT viability of the company to promote IT Outsourcing. SLA metrics consist of technical, managerial, user perspective items, and has been managed to aim to provide reliable and continuous quality improvement of IT services. This study focuses on the HW availability metrics of SLA indicators of IT outsourcing. We propose the Infra availability criteria for the HW configuration level to meet the SLA contract and evaluation. We offer the Infra configuration standards of SLA contract, and propose criteria to determine the suitability of the target levels in IT operations audit environment. The proposed model was verified the necessity and effectiveness of the Infra configuration standards and operation audit check items through the surveys of experts and users.
Wirye New Town is constructed as a new complex city with three municipalities. Infrastructure must be managed by administrative districts, but integrated management is also needed when considering the planned identity and efficient management and operation aspects of a new town. The purpose of this study is to establish why the integrated management of infrastructure is needed, to form a consensus of stakeholders and to set priorities of integrated management considering characteristics of each facility. This thesis analyzes the order of priorities for integrated management of the infrastructures in Wirye New Town. The study includes an analytic hierarchy process (AHP) survey that asked 95 local city officials and experts in city planning about important values to consider, such as efficiency, equity, and identity, for the integrated management of infrastructures in Wirye New Town. Another survey requested these same people to identify the priorities for integrated management in terms of different infrastructure types. The results are as follows. Those who were surveyed considered efficiency(0.442) to be the most important value for integrated management. Equity was deemed to be the next most important(0.369), followed by identity(0.190). The second step in the AHP survey revealed that "efficiency of management governance" (0.202) was considered to be the most important, then "equity of infrastructure quality among the sub-regions" (0.155), and finally "efficiency for improvement of quality and quantity of services" (0.133). The results of the survey about the priority for integrated management among infrastructure types and AHP shows that 'specialized facilities', 'Space facilities located in more than two municipalities', and 'linear facilities located in more than two municipalities.' are important.
According to the World Health Organization, for medical schools to fulfill their obligation of social accountability, it is necessary for medical education, research, and service areas to ref lect the healthcare system's relevance, quality, cost-effectiveness, and equity. This study utilized Boelen and Heck's (1995) social accountability grid model to analyze the degree to which the Accreditation Standards of Korean Institute of Medical Education and Evaluation 2019 (ASK2019) standards apply the World Federation for Medical Education's (WFME) standards. The social accountability characteristics of the former were compared to those of the WFME, the Liaison Committee on Medical Education, and the Australian Medical Council. Experts with experience and certification in medical education and evaluation classified the ASK2019 standards according to the grid model, evaluated social accountability perspectives, and categorized them according to the process, content, and outcome. Of the 92 standards, 61 (66.30%) were selected as social accountability standards; these encompassed all areas. There was a particular focus on outcome-related areas, such as "mission and outcomes," "student assessment," "educational evaluation," and "continuous improvement." Education and quality were the most common (33, 54.11%), followed by 18 standards related to education and relevance. However, the standards on cost effectiveness and equity corresponding to education, research, and service were significantly insufficient. As a result of classification using a logic model, many criteria were incorporated into the process, producing results similar to those of international accreditation institutions. Therefore, to fulfill medical schools' social accountability, it is necessary to develop cost effectiveness and equity standards with reference to grid models and expand them beyond education to include research and service areas. Developing content and outcome standards is also required.
Korean Journal of Construction Engineering and Management
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v.18
no.3
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pp.33-41
/
2017
A modular specification is a contract document that specifies the requirements of production, transformation and installation in a modular construction. A problem of the currently used specification is that it does not guarantee the level of performance required by the modular construction and fails to accommodate unique characteristics of each construction because it widely uses the standard specification as it is. This study proposes a specification that reflects the unique feature of modular construction in order to improve the quality of modular construction. Research focuses on the leakage in waterproof and mechanical equipment because it is the area with the highest rate of defects. This study suggests ways to improve the modular specification as follows: 1)Descriptive specifying (following MasterFormat) 2)Propose leakage verification method and test clause 3) Reflect characteristic of modular construction. Proposed modifications to modular specification are reviewed by experts for validation and their opinion verifies suggested improvements as a way to secure the quality of modular construction and to promise characteristics of the modular specification. This improvement will be used for reference when writing construction project specification, which can be an important contract document, so that it could lower occurrence rate of the modular defects.
In the case of acquisition and displaying medical Images such as ultrasonography and endoscopy on VGA monitor of PC system, image degradation of tear-drop appears through scan conversion. In this study, we compare several methods which can solve this degradation and implement the hardware system that resolves this problem in real-time with PC. It is possible to represent high quality image display and real-time processing and acquisition with specific de-interlacing device and PCI bridge on our hardware system. Image quality is improved remarkably on our hardware system. It is implemented as PC-based system, so acquiring, saving images and describing text comment on those images and PACS networking can be easily implemented.metabolism. All images were spatially normalized to MNI standard PET template and smoothed with 16mm FWHM Gaussian kernel using SPM96. Mean count in cerebral region was normalized. The VOls for 34 cerebral regions were previously defined on the standard template and 17 different counts of mirrored regions to hemispheric midline were extracted from spatially normalized images. A three-layer feed-forward error back-propagation neural network classifier with 7 input nodes and 3 output nodes was used. The network was trained to interpret metabolic patterns and produce identical diagnoses with those of expert viewers. The performance of the neural network was optimized by testing with 5~40 nodes in hidden layer. Randomly selected 40 images from each group were used to train the network and the remainders were used to test the learned network. The optimized neural network gave a maximum agreement rate of 80.3% with expert viewers. It used 20 hidden nodes and was trained for 1508 epochs. Also, neural network gave agreement rates of 75~80% with 10 or 30 nodes in hidden layer. We conclude that artificial neural network performed as well as human experts and could be potentially useful as clinical decision support tool for the localization of epileptogenic zones.
The purpose of this study was to develop evaluation indicators which can help decision making in the quality control and improvement of the job capability strengthening program for the vocational high school depending on the situation, input, process and output of CIPP evaluation model. For this purpose, through the literature review and the research of expert opinions, the evaluation indicators for the job capability strengthening program in the vocational high school was designed. In addition, the Delphi research was conducted to 15 teachers in charge of job searching in specialized high schools and education related experts to validate it. The CVR value which indicates the value of validity was analyzed through the findings of the collected Delphi questionnaires and the degree of opinion consistency was analyzed through the degrees of agreement and convergence. Through the correction and complementation, the final evaluation criteria and evaluation indicators was decided. The evaluation criteria developed from the findings include 7 references such as requirement analysis, objective setting, implementation plan, implementation contents, program activities, program control & evaluation and program performance. Each Criteria has 41 evaluation indicators. It is expected that the finally decided evaluation indicators would be used by the people concerned with the job capability strengthening program at the vocational high schools and contribute to the quality improvement of the job capability strengthening program at the vocational high schools as well as its future directions.
Journal of the Korea Academia-Industrial cooperation Society
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v.21
no.12
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pp.888-895
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2020
In the construction industry, off-site construction (OSC) is drawing attention as a production method due to changes in working hours and the supply and demand of manpower. In 1991, there was a policy of spreading and expanding the use of precast concrete (PC) apartment homes, but they have not been actively used so far since they were discontinued due to quality problems. In this study, policy tasks were analyzed to motivate the application of OSC-based PCs in the apartment housing sector, and policy directions were derived by conducting focus group interviews (FGI). Nine policies are suggested regarding the following topics: PC apartment supply quantity provision, priority application of public housing, priority supply of public housing, preferential floor area ratio, funding, tax support, improvement of business area structure, improvement of delivery method, factory certification system, and training of experts. The results of the FGIs are as follows. First, in order to revitalize PC apartment homes, leading efforts from the public sector are required. Second, rather than reorganizing the business sector or introducing a new delivery method, a policy direction that induces the strengthening of cooperation is desirable. Third, PC activation should be promoted on an institutional basis for securing appropriate construction costs and quality.
This study analyzed the important factors in service quality for public usage of national R&D facilities and equipments, and, using those factors, performed the importance-performance analysis for several national R&D programs in order to examine what service quality factors should be concentrically improved in each programs. Additionally, the in-depth interview with program managers and R&D facility experts was performed to realize the managerial issues subject to the characteristics of programs regarding the national R&D public facility management. As the results, this study made some political suggestions such as the reformation of promoter's role regarding the formulation of the government policy to support those programs. For example, it is more suitable for colleges as the subject of programs to be invested for self-research purpose rather than public usage, for independent corporation to be centered on the more general and common production fields, and for the government R&D agencies on the leading and special technical fields.
Due to the impact of COVID-19, untact performances where performance videos are recorded, edited and distributed have begun to be activated in a non-face-to-face environment. Performance halls are supporting untact performance services such as video production and broadcasting so that performances can be viewed through online platforms. Therefore, this study intends to study the satisfaction and continued use intention of the untact performance service in the concert hall for experts who have experience using the untact performance service in the concert hall. A total of 9 hypotheses were rejected and 10 hypotheses were adopted as a result of developing and analyzing a research model suitable for the untact performance service of the concert hall by fusion of the information system success model and the expectation inconsistency model. Excluding content quality, it was found that in both system quality and service quality, inconsistency occurs through the comparison of expectations and performance after expectations arise. This positive discrepancy affects satisfaction, and the higher the satisfaction, the higher the intention to continue using it. This study is a basic study on the untact performance service and is expected to provide a new perspective for quality improvement.
Kim, Il Jung;Kim, Woo Soon;Kim, Joon Young;Chae, Hee Su;Woo, Ji Yeong;Do, Kyung Min;Lim, Sung Hoon;Shin, Min Soo;Lee, Ji Eun;Kim, Heung Nam
Journal of Korean Society for Quality Management
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v.50
no.4
/
pp.647-664
/
2022
Purpose: The purpose of this study is to derive major policies that domestic small and medium-sized manufacturing companies should consider to maximize productivity and quality improvement by utilizing manufacturing data and AI, and to find priorities and implications. Methods: In this study, domestic and international issues and literature review by country were conducted to derive major considerations such as manufacturing AI technology, manufacturing AI talent, manufacturing AI data and manufacturing AI ecosystem. Additionally, the questionnaire survey targeting 46 experts of manufacturing data and AI industry were conducted. Finally, the major considerations and detailed factors importance were derived by applying the Analytic Hierarchy Process (AHP). Results: As a result of the study, it was found that 'manufacturing AI technology', 'manufacturing AI talent', 'manufacturing AI data', and 'manufacturing AI ecosystem' exist as key considerations for domestic manufacturing AI. After empirical analysis, the importance of the four key considerations was found to be 'manufacturing AI ecosystem (0.272)', 'manufacturing AI data (0.265)', 'manufacturing AI technology (0.233)', and 'manufacturing AI talent (0.230)'. The importance of the derived four viewpoints is maintained at a similar level. In addition, looking at the detailed variables with the highest importance for each of the four perspectives, 'Best Practice', 'manufacturing data quality management regime, 'manufacturing data collection infrastructure', and 'manufacturing AI manpower level of solution providers' were found. Conclusion: For the sustainable growth of the domestic manufacturing AI ecosystem, it should be possible to develop and promote manufacturing AI policies in a balanced way by considering all four derived viewpoints. This paper is expected to be used as an effective guideline when developing policies for upgrading manufacturing through domestic manufacturing data and AI in the future.
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