• The Korean Journal of Health Service Management
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• v.13 no.3
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• pp.13-26
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• 2019

Objectives: To investigate whether medical institutions can prevent accidents by analyzing the root cause of a medical accident and identifying the tendencies. Methods: A total of 345 medical cases were used for the RCA(Root Cause Analysis). The root causes were classified using the SHELL model. The suitability of the model was confirmed by SPSS's MDPREF and Euclidean distance. An SPSS20.0 hierarchical regression analysis was used as an influencing factor on the degree of injury resulting from medical accidents. Results: The SHELL model was suitable for classification. The rates of accident causes were LS49%, L34%, LL10.2%, LE3.7%, LH2.3%. The order in which the degree of a patient's injury was affected were: Risk Threshold (${\beta}=.180$), Time (${\beta}=.175$), Surgical stage (${\beta}=-.166$), Do not use procedure (${\beta}=.147$). Conclusions: Health care institutions should remove priorities through system improvement and training. For patients' safety, the five factors of the SHELL model should be managed in harmony.

• The Journal of Information Systems
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• v.31 no.2
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• pp.45-62
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• 2022

Purpose Smart farms play a leading role in changing the safety food culture for the citizens. The purpose of this study is to investigate the factors that are important to covid 19-response in the case of ICT smart farm. To do so, we classified the factors as operating effect aspect and industrial wave effect aspect of the smart farm. Design/methodology/approach This study was conducted by visiting Geumsan County, which is attempting to perform a smart farm. Through interviewing farmers representatives based on their operational effect expectations on the smart farm, we derived the industrial crash effect factors and thereafter designed the research model. This study applied AHP, which is an expert decision-making method cans be used to measure relative importance for determining priorities. After interviewing the experts with smart farm, we obtained the factors which are important to smart farm development. Findings According to analysis, the productivity improvement factor was ranked as the most important among the operational effect items. This is consistent with the ultimate goal of smart farms with ICT convergence technology, which is increase the profitability of agriculture. The second place is the factor in the development of infrastructure and infrastructure, and the third and fifth positions were export expansion, environmentally friendly management, and job creation in terms of operational effectiveness.

• Journal of Korean Society for Quality Management
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• v.44 no.1
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• pp.109-120
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• 2016

Purpose: This study developed a method of determining priorities for evaluating and revising defense standards. Methods: The proposed data integration and refinement methods are used to obtain component reliability information and to determine the frequency of component citation based on Pareto analysis. Based on the reliability information and the frequency of cited components, the target components for quality improvement can be determined and improved using various methods, such as engineering changes, special meetings, additional training, and revising the maintenance manual. Results: Based on the proposed process, we identified components that need to be improved in order to enhance the quality and reliability. Conclusion: Our process will improve the quality and reliability of weapon systems. The proposed process can be adopted for various weapon systems to enhance their quality and reliability, and to reduce military spending.

• The Journal of the Korea Contents Association
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• v.20 no.4
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• pp.564-570
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• 2020

The development of cloud computing service technologies plays a particularly important role in the enterprise. The introduction of cloud computing services by companies is also contributing to the improvement of market value and changes in corporate earnings. In this study, we demonstrated the importance of priorities by selecting sub-items that can be evaluated by separating the expected characteristics of efficiency, economics, and dependencies when introducing cloud computing services. The main priority items were selected based on prior research and the survey was conducted by IT system experts. Using AHP analysis method, the results of performing a double contrast bridge resulted in the final priority. The findings will later be used as important data to determine an enterprise's decision to accept cloud computing services.

• The Journal of Fisheries Business Administration
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• v.46 no.3
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• pp.51-61
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• 2015

The purpose of this study is to find food safety approach in the Eco-label Chain of Custody(CoC) which is only focused to traceability. Because, consumers want to be assured the certified seafood comes from sustainable fishery as well as hygienic. In order to this approach, we used Analytic Hierarchy Process(AHP) method as belows. We first understood the CoC criteria for using pair-wise comparison and analyzed and selected each Eco-label certifications and standards. Second, we carried out a survey to the targeted standard Marine Stewardship Council(MSC) CoC auditors all over the world and analyzed the priorities of food safety approach to 4 principles and 12 criteria belong the MSC CoC Standard. As the results, we found out that 'Management System' has the highest priority in the principles and 'Documentation' and 'Keeping Record' are the most important criteria for this approach. In addition, 'Training' and 'Identification' are also higher priority of criteria. So, we suggested food safety approach method for improvement of these criteria in conclusion based on discussion with specialist in this field.

• Journal of the Korean Society for Aviation and Aeronautics
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• v.21 no.4
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• pp.27-33
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• 2013

In this study, the FMEA and FTA for reliability analysis of hybrid rocket motor are performed, that was designed in the Hybrid Rocket Propulsion Laboratory of Korea Aerospace University. In order to carry out these analyses the structure of the hybrid rocket motor is hierarchically divided into 36 parts down to the component level and FMEA is carried out with 72 failure modes. Reliability is assessed based on the FMEA, and the results are used in the FTA to evaluate the overall system reliability. In the FMEA, the relationship between the cause and failure modes, effects and their risk priorities are evaluated qualitatively. 27 failure modes are chosen as those with the critical severity that should be improved with priority. As a result of the FMEA / FTA study, a series of design or material changes are made for the improvement of reliability.

• The Journal of the Convergence on Culture Technology
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• v.9 no.2
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• pp.511-517
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• 2023

Universities are subject to various safety laws and regulations and practical measures are needed to properly implement them. In order to improve safety management through response to each law, intensive management is required by having an organization and professional personnel in charge, but it is financially difficult to appropriately allocate personnel to respond to laws. Therefore, in this study, necessary safety management policy items were set to reflect the requirements of major laws related to university safety, and a reasonable safety management plan was proposed through the AHP for priorities.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.16 no.3
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• pp.1-14
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• 2017

Recently, the automobile industry is rapidly changing due to autonomous vehicles based on advanced ICT technology. As a result, studies related to autonomous vehicles have also been actively conducted. However, most studies are focusing on the autonomous driving technology so that the prediction of changes in road traffic safety and associated legal system due to the introduction of autonomous vehicles are lacking. The purpose of this study is to suggest improvement methods and priorities of road traffic safety projects according to the introduction of autonomous vehicles. As a result of the AHP analysis using the results of the questionnaire surveyed for autonomous driving car experts, it was analyzed that revision of the traffic safety inspection law and development of education system for autonomous driving motor drivers and operators should be given top priority.

• Korean journal of food and cookery science
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• v.27 no.1
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• pp.21-31
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• 2011

The purposes of this study were to investigate the gap in perceived importance-performance between dietitians and food service workers regarding school food service sanitation and to analyze items that should be given priority for improvement. Data were collected by 440 food service workers and 71 dietitians in Gyeongbuk province. All statistical analyses were conducted using the SAS package program (version 8.2 for Windows) for descriptive analysis, t-test, and importance-performance analysis (IPA). According to the performance analysis, there were significant differences between dietitians and food service workers in 18 out of the 20 items. In all of 18 items, the evaluated performance scores according to the food service workers were higher than those of the dietitians. In addition, the results of IPA confirmed the following areas as improvement priorities: proper hand washing of food service workers, cleanliness of trays and utensils, monitoring of temperature of refrigerated/frozen foods and quality of the food materials during inspection, proper washing and disinfection of raw vegetables and fruits and maintenance of CCP records, and control of food holding temperature and methods. In conclusion, dietitians should perform education about sanitation management items that have low perceived importance and should make a plan to improve sanitation management after understanding the gap in perceived importance-performance between dietitians and food service workers.

• Korean journal of food and cookery science
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• v.24 no.3
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• pp.325-332
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• 2008

The purpose of this study was to analyze the gap in perceived sanitaion management importance-performance for school foodservice facilities and utilities. Questionnaires were delivered to 200 dietitians who are employed in school foodservice. A total of 108 were usable, resulting in an 54.0% response rate. Statistical analyses were performed using the SAS package program(version 8.2 for Windows) for descriptive analysis, t-tests, and importance-performance analysis (IPA). Among the respondents, 58.3% of the dietitians had more than 10 years of work experience, 81.5% were university graduates, and 64.8% worked in elementary schools. Also, 89.8% of the school foodservices provided meals once a day. According to the importance and performance analysis for 25 items, significant differences were found between importance and performance and the importance score was significantly higher than the performance score for all of the items. The results of IPA showed the following areas as improvement priorities: physical separation between the clean areas and the unclean areas to prevent cross-contamination, and proper management of the temperature and humidity within kitchens and food storage facilities. Overall, the IPA results indicated that the items in need of urgent need of improvement will require political support, and above all, continued research. Finally, better models of foodservice facilities and utilities are needed to improve and modernize the operating conditions of these various foodservice establishments.