• Title/Summary/Keyword: 품질관리 지표

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건강과 자연농업 제222호

  • Jeong, Jin-Yeong
    • THE HEALTH and ORGANIC FARMING
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    • no.222
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    • pp.1-12
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    • 2006
  • 병술년 새해엔 풍요와 행복이 충만하길/우리나라 고유의 기농산품을 개발하여 세계화에 진력하자/우리의 산야초/토양검정은 친환경적 토양관리의 첫단계/제4회 친환경 유기농박람회 개최/경주시협의회 정기총회 개최/화천군,친환경농업 활성화대책 포럼개최/천안염암대,자연순환형 유기농.축산업의 발전방향 위한 국제 심포지엄 개최/농림부.환경부공동 제2회 친환경농업대상 시상/무항생제 축산물의 생산기술과 전략/우리조상들이 연구한 물이야기/농림부,농업경영컨설팅 사업 대폭 개선/착각하고 있는 잘못된 웰빙/왜 홍콩으로 가야 했나?/식물을 깨워 저항성을 갖게 하자/엽채류 균핵병 방제/친환경 고품질 오이 다수확재배 하려면?/협회 무농약17호/우수농산물코너/1월중 협회 일정 안내/농산물 인증제도 대폭개선 소비자 혼란방지 위해 6종류에서 3종류로/해충의 습성을 이용한 퇴치/12월중 새식구 명단/협회소식/'줌마렐라'뜬다 유기농 먹고 요가 즐기고/친환경 농산물 생산매뉴얼 발간/모르고 먹은 음식,약을 독으로 만들 수 있어요/지표시비

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A Case Study on the Expected Effect according to Implementation of ITSM System (ITSM 시스템 구축에 따른 기대효과에 관한 사례연구)

  • Sang-Il Han
    • Annual Conference of KIPS
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    • 2008.11a
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    • pp.695-698
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    • 2008
  • 오늘날 시장환경이 급변하고 다양한 비즈니스 요구에 부응하기 위해 IT Outsourcing 전략을 채택하고 있는 기업들이 증가하고 있다. 기업의 전반적 비용 효율성에 대한 인식이 증대하고 안정적 IT 서비스 지원을 통한 비즈니스의 연속성의 중요성을 인식한 기업들이 IT Outsourcing을 도입함으로써 국내 IT 서비스 시장은 꾸준한 성장세를 보이고 있다. 그러나 기존의 IT 서비스 제공 프로세스가 체계적이지 못하고 성과측정에 대한 표준안이 제대로 갖춰지지 못하여 고객기업들의 불만이 높아지고 있다. 이에 IT 서비스 기업들은 보다 고품질의 IT 서비스 제공하기 위해 Best Practice 기반의 ITIL을 이용한 ITSM 시스템 구축에 심혈을 기울이고 있다. 이에 국내 ITSM 시스템이 도입 초기 단계부터 선도적으로 구축한 I 사의 실제 구축사례를 소개하고 ITSM 시스템을 여러 다양한 기업에 적용하여 성과관리지표를 측정하여 ITSM 시스템 도입 기대효과의 실질적인 지침을 마련하고자 한다.

Quality Properties of Honey in Korean Commercial Markets (국내 유통되는 벌꿀의 품질특성)

  • Kim, Jae-Young;Song, Ha-Yeon;Moon, Jin-Ah;Shin, Min-Hong;Baek, Seung-Hwa
    • Korean Journal of Food Science and Technology
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    • v.46 no.4
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    • pp.432-437
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    • 2014
  • This study was carried out to examine the quality properties of honey in Korean commercial markets. The moisture content, stable carbon isotope ratio, invert sugar, cane sugar, and hydroxy-methylfurfural (HMF) contents of honey were measured according to the Korea Food Code and AOAC's (Association of Official Analytical Chemists) official methods. The stable carbon isotope ratio ranged from -25.18‰ to -12.60‰, which clearly differed between honey of $C_3$ origin (flower) and $C_4$ origin (artificial). Results of quality measurements revealed a moisture content of 18.12 to 19.70%, fructose content of 36.10 to 43.94%, glucose content of 22.61 to 31.91%, sucrose content of 1.56 to 4.75%, invert sugar content of 64.89 to 72.79%, and HMF content of 4.10 to 78.66 mg/kg. These values demonstrate that the quality of the tested honey meets the standard criteria of the Korean Food Code and Codex. However, it is necessary to reconsider the appropriate criteria for imported honey because it is circulated in the market through a long distribution process.

Measuring the Goodness of Fit of Link Reduction Algorithms for Mapping Intellectual Structures in Bibliometric Analysis (계량서지적 분석에서 지적구조 매핑을 위한 링크 삭감 알고리즘의 적합도 측정)

  • Lee, Jae Yun
    • Journal of the Korean Society for information Management
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    • v.39 no.2
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    • pp.233-254
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    • 2022
  • Link reduction algorithms such as pathfinder network are the widely used methods to overcome problems with the visualization of weighted networks for knowledge domain analysis. This study proposed NetRSQ, an indicator to measure the goodness of fit of a link reduction algorithm for the network visualization. NetRSQ is developed to calculate the fitness of a network based on the rank correlation between the path length and the degree of association between entities. The validity of NetRSQ was investigated with data from previous research which qualitatively evaluated several network generation algorithms. As the primary test result, the higher degree of NetRSQ appeared in the network with better intellectual structures in the quality evaluation of networks built by various methods. The performance of 4 link reduction algorithms was tested in 40 datasets from various domains and compared with NetRSQ. The test shows that there is no specific link reduction algorithm that performs better over others in all cases. Therefore, the NetRSQ can be a useful tool as a basis of reliability to select the most fitting algorithm for the network visualization of intellectual structures.

Development of Construction Benchmarking for Oversea Industrial Projects (해외플랜트 공사 벤치마킹 프로그램 개발)

  • Park, Hee-Sung
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.33 no.3
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    • pp.1165-1171
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    • 2013
  • The oversea construction contract amount has sharply increased since 2003. The contractor's capability for EPC and project management is a key factor for a successful industrial construction project. Construction performance measurement and evaluation is needed to improve contractor's project management capability. Therefore, this paper proposes the construction performance benchmarking program for oversea industrial projects. Performance metrics consists of project cost, schedule, quality, and safety. Data from 10 oversea industrial projects were collected and analyzed. Also, this paper describes the process for development of the benchmarking program and lessons learned from industry are summarized. Finally, this paper recommends how sustainable benchmarking program should be established and implemented.

Comparison of Operational Efficiency and Quality Efficiency of Medical Services by Country : Focused on OECD Member Countries (국가별 의료서비스의 운영효율성과 품질효율성 비교: OECD 회원국들을 중심으로)

  • Hyunjung Kim;Jiyoon Son
    • Journal of Service Research and Studies
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    • v.11 no.4
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    • pp.43-55
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    • 2021
  • This study analyzed the efficiency of medical services in OECD member countries by dividing it into operational efficiency and quality efficiency. For this purpose, data from 2017-2019 OECD Health Statistics were used. As the analysis method, super efficiency was measured by applying an output-oriented Variable Returns to Scale (VRS) model. As a result of the analysis, Switzerland, Korea, and Italy were included in the high group of operational efficiency, Canada, Greece, Denmark, etc. in the medium group, and Belgium, Germany, and Spain in the low group. Based on quality efficiency, Norway, Switzerland, and Spain are in the high group, and Greece, Denmark, Mexico, etc. are in the medium group, and the Netherlands, Germany, Belgium, etc. were included in the low group. As a result of comparative analysis of efficiency by OECD member countries as of 2018, it was found that Korea's operational efficiency was the most efficient and quality efficiency was inefficient. Korea (0.998) should improve life expectancy by 0.2 (0.2%) and subjective health perception by 44.2 (138.1%) by benchmarking Greece (0.422), Switzerland (0.207), and Spain (0.371) to improve quality efficiency. Unlike most previous studies that focused on operational efficiency, this study measured quality efficiency together and analyzed the efficiency of the medical service industry in each OECD member country. Through this, this study has implications in that it confirmed the international competitiveness of the domestic medical service industry and suggested ways to improve efficiency.

A Study on the Measurement Method of Cold Chain Service Quality Using Smart Contract of Blockchain (블록체인의 스마트계약을 이용한 콜드체인 서비스 품질 측정 방안에 대한 연구)

  • Kim, ChangHyun;Shin, KwangSup
    • The Journal of Society for e-Business Studies
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    • v.24 no.3
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    • pp.1-18
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    • 2019
  • Due to the great advances in e-Marketplace and changes in type of items purchased from the online market, it has been dramatically increased the demand of the storage and transportation under the special conditions such as restricted temperature. Especially, the cold chain needs the way to transparently measure and monitor the entire network in realtime because it has a very complicated structure and requires totally different criteria at the every different steps and items. In this research, it has been presented the performance evaluation metrics to make contract using service level agreement (SLA), the way to apply the smart contract based on blockchain, the structure of blocks, service platform and application in order to build cold chain which can prevent the risk factors by measuring and sharing information in realtime using block chain technology. In addition, we have proposed the way to store the measured performance and reputation of each player in the block using smart contract based on SLA. With the presented framework, all players including service providers as well as users can secure the information for making the rational decisions. When the service platform is actually built and operated, it seems possible to secure the information in transparently and realtime. Also, it is possible to prevent the risk factors or prepare the preemptive plans to react on them.

Parents' Opinions on Foodservices in Daycare Centers of Korea's Compensation and Welfare Service Institute (근로복지공단 보육시설의 급식 운영현황과 학부모대상 품질 만족도)

  • Kim, Ji Hyeon;Lee, Young Eun
    • Journal of the Korean Society of Food Science and Nutrition
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    • v.42 no.1
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    • pp.102-113
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    • 2013
  • The purpose of this study was to examine parental perceptions on the importance, performance level, and satisfaction with foodservice quality at daycare centers in the Compensation and Welfare Service institute. The questionnaire was developed to measure thirty-two attributes of foodservice operations are administered to 598 parents and 23 foodservice supervisors from June 22, 2009 to July 10, 2009. The parents placed a high importance on the need for foodservices, earning 4.70 points out of 5 points. Their perceptions of foodservice quality menu, foodservice ingredients and effects, facilities, sanitation, and service scored even higher than performance. The overall satisfaction level for foodservice compared to performance was 4.33 and 4.03 points out of 5 points, respectively. Multiple regression analysis indicated that 98.6% of the variance in parents' overall satisfaction scores was explained by six dimensions.

Economic Evaluation Analysis of Effect of Train Freight Car Safety Transport Integrated Quality Management System Based on Internet of Things(IoT) (IoT기반 철도 화차 안전운송 통합 품질관리시스템에 관한 경제성 평가지표 분석)

  • Won, Jong-Un;Yoon, Chiho;Park, Sang-Chan
    • Journal of Korean Society for Quality Management
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    • v.44 no.4
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    • pp.869-881
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    • 2016
  • Purpose: The objective of this study is to verify the economic validation of quality management integrated train freight car by analyzing economic evaluation indicators such as benefit and cost, net present value, and inter rate of return. Methods: First, we itemize benefit and cost field by reviewing literatures; Benefit consists of 1)Safety, 2)Operation, and 3)Maintenance; Cost consists of 1)Set-up fee, 2)Wireless internet fee, and 3)Cloud storage using fee. Second, based on these estimated values, we conduct an economic evaluation analysis. Among them, benefit and cost, net present value, and internal rate of return are selected. Results: As a result, all estimated values are highly over criterion of economic validity($$B/C{\geq}_-1$$, $$NPV{\geq}_-0$$, $$IRR{\geq}_-R$$); 1)benefit over cost ratio is 28.22, 2)Net present value is 8,121.66million KRW, and 3)Internal rate of return value is 2272%. Conclusion: The findings of this study will help making a decision when train industry adopts IoT technology for improving the effectiveness.

Research on Outlier and Missing Value Correction Methods to Improve Smart Farm Data Quality (스마트팜 데이터 품질 향상을 위한 이상치 및 결측치 보정 방법에 관한 연구)

  • Sung-Jae Lee;Hyun Sim
    • The Journal of the Korea institute of electronic communication sciences
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    • v.19 no.5
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    • pp.1027-1034
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    • 2024
  • This study aims to address the issues of outliers and missing values in AI-based smart farming to improve data quality and enhance the accuracy of agricultural predictive activities. By utilizing real data provided by the Rural Development Administration (RDA) and the Korea Agency of Education, Promotion, and Information Service in Food, Agriculture, Forestry, and Fisheries (EPIS), outlier detection and missing value imputation techniques were applied to collect and manage high-quality data. For successful smart farm operations, an IoT-based AI automatic growth measurement model is essential, and achieving a high data quality index through stable data preprocessing is crucial. In this study, various methods for correcting outliers and imputing missing values in growth data were applied, and the proposed preprocessing strategies were validated using machine learning performance evaluation indices. The results showed significant improvements in model performance, with high predictive accuracy observed in key evaluation metrics such as ROC and AUC.