• 품질경영학회지
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• 제37권1호
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• pp.69-79
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• 2009

Supply Chain Management is the process of planning, implementing and controlling the operations of the supply chain to satisfy customer requirements as efficiently as possible. It spans all movements and storage of raw materials, work-in-process inventory, and finished goods from point-of-origin to point-of-consumption. Korean Standards Association claims the Supply Chain Quality Management(SCQM) as a win-win model of organizations among the supply chains for the best product/service quality to final customers. The SCQM is focused on quality of product/service and will do much for improving manufacturing performance between customer and suppliers. Consulting-teams make every effort to design suitable solution for constructing solutions and improving the performance. This study is to analyze the performance of SCQM consulting, from July of 2007 to June of 2008, and would provide some guidelines to design the optimal consulting models and develop guidebooks.

• 품질경영학회지
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• 제37권4호
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• pp.43-51
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• 2009

This study was designed to analyze the relationship of process quality, result quality and management performance in Korean insurance industry. For this study the linkage scheme of service quality concept is used on PZB model and BSC(Balances Score Card) system. In the linkage model, the 5 service qualitry factors used in PZB model are used as the result quality variables, and internal process factor, learning/growth factor in BSC are used the process quality variables affecting the result quality variables. And also customer satisfation factor and financial performance index are used as the management performance variables. In the ivsurance industry, the process quality variables were verified to meaningfully affect the result quality variables, and the result service quality variables were verified to affect the management performance indices. As the result, the process quality and the service quality must be emhanced for the competitiveness of Korean insurance industry.

• 보건행정학회지
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• 제3권1호
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• pp.84-101
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• 1993

The current method of rate adjustment is based on the evaluation of the financial performance of hospitals. The method has the disadvantages such as too complicated, expensive process as well as low reliability due to small sample size. This study, therefore, develops a new model for the rate adjustment with the use of the composite index. In addition to that, it examines the validity of the model by comparing the result of the new method with that of the conventional method. The idea of the new model comes from the Medicare Economic Index(MEI) on which physician fees for the Medicare patients are adjusted periodically in the United States. Medical costs are classified into three groups : labor costs, materials and other expenses. Labor costs are subdivided into physicians and other personnels. Materials are subdivided into drugs and others. Other expenses are subdivided into 5 items. Macro economic indices are selected for each cost item in order to reflect the cost inflation during the specific period. Then the composite index which integrate all items according to the ration of each item in the total costs is calculated. The result from the application of empirical data to the new model is very similar to that of the current method. Furthermore, this method is very simple and also to easy to get social concensus. This model can be replaced the current method based on the analysis of the financial performance for the adjustment of medical fees.

• 경영정보학연구
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• 제13권1호
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• pp.1-11
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• 2011

본 연구는 한국 금융산업에서의 기업 데이터 품질이 경제적인 성과에 주는 영향을 2008년과 2009년 자료를 이용하여 실증적으로 분석하였다 데이터 품질은 한국데이터베이스진흥원에서 측정한 데이터 품질관리 프로세스 지수와 데이터 품질기준을 이용하였으며, 기업의 재무 성과는 금융감독원의 금융 통계정보시스템을 이용하여 수집하였다. 분석 결과, 데이터 품질은 기업의 매출액, 영업이익, 부가가치에 통계적으로 유의한 영향을 주었다. 데이터 품질관리 프로세스 지수가 1만큼 증가하면, 부가가치는 약 2.3%가 증가한다. 또한 데이터 품질기준이 1만큼 증가하면, 부가가치는 약 72.6%가 증가한다. 기업의 경영자는 데이터 품질을 개선시키도록 노력해야 하고, 경제정책 입안자들은 기업들이 데이터 품질에 관심을 갖고 데이터 품질을 개선시키도록 하는 유인책과 정책 방향을 수립해야 한다.

• 한국조리학회:학술대회논문집
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• 한국조리학회 2006년도 제41차 정기하계학술세미나
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• pp.21-44
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• 2006

Measuring and evaluating the business performance plays a very important role in managing business. It is because business performance, in any types of industry, can be evaluated and managed properly only when the measurement of its performance is estimated, and because its performance can be improved through an efficient and effective management. Therefore it is essential to build up the performance evaluation system to raise management efficiency of the foodservice industry, to reinforce competitive power of the food service industry. This study tried to propose a novel point of prospective and method in which the performance evaluation in any family restaurant should be illuminated and be performed. In this study, BSC provided the main conceptional framework for evaluating the performance of a family restaurant, and evaluation items of BSC four prospectives - financial, customers, internal business process, and learning and growth-were adjusted so as to be fitted into the business field. Furthermore, this study verified the validity of the proposed performance evaluation method through specific case analyses and used AHP to quantify its validity objectively. Finally, this study found the fact that non-financial prospectives, compared to financial prospectives, should be more importantly considered as the performance evaluation index of the family restaurants. Especially, the study showed that the proportion of performance evaluation indexes related to Customers prospective and Learning and Growth prospective revealed very highly, therefore variables such as customer satisfaction index, per employee productivity, education and training, customer response rate, employee satisfaction index should be emphasized as key factors at the process of selecting indexes and measuring their performance evaluation of the food service industry.

• 한국항해항만학회지
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• 제44권5호
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• pp.400-406
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• 2020

In this study, we first measured the malmquist productivity index by DEA among the Korean public firms. Second, there are 12 public corporations whose productivity (MPI) has decreased compared to 2014. This is mainly because of a decrease in productivity, as well as a decrease in the technical efficiency change index (TECI), impacted by the internal environment, and the increase in productivity because of an increase in the technology change index (TCI) impacted by the external environment. Finally, the analysis of the impact on the management assessment scores showed that the productivity (MPI), scale efficiency (CRS), size of sales, operating profitability, and total capital investment efficiency are significantly related (+), except for the asset turnover, which is a static financial ratio. Meanwhile, the management evaluation scores between the high-productivity public corporations and low-performing public corporations were significantly discriminating. Thus, it is confirmed that the nation's state-run companies must manage their MPIs in a time series to score high in management evaluation.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제17권11호
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• pp.3182-3203
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• 2023

With the growing adoption of cloud-based technologies, maintaining the privacy and security of cloud data has become a pressing issue. Privacy-preserving encryption schemes are a promising approach for achieving cloud data security, but they require careful design and implementation to be effective. The integrated approach to cloud data security that we suggest in this work uses CogniGate: the orchestrated permissions protocol, index trees, blockchain key management, and unique Opacus encryption. Opacus encryption is a novel homomorphic encryption scheme that enables computation on encrypted data, making it a powerful tool for cloud data security. CogniGate Protocol enables more flexibility and control over access to cloud data by allowing for fine-grained limitations on access depending on user parameters. Index trees provide an efficient data structure for storing and retrieving encrypted data, while blockchain key management ensures the secure and decentralized storage of encryption keys. Performance evaluation focuses on key aspects, including computation cost for the data owner, computation cost for data sharers, the average time cost of index construction, query consumption for data providers, and time cost in key generation. The results highlight that the integrated approach safeguards cloud data while preserving privacy, maintaining usability, and demonstrating high performance. In addition, we explore the role of differential privacy in our integrated approach, showing how it can be used to further enhance privacy protection without compromising performance. We also discuss the key management challenges associated with our approach and propose a novel blockchain-based key management system that leverages smart contracts and consensus mechanisms to ensure the secure and decentralized storage of encryption keys.

• 한국도로학회논문집
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• 제19권5호
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• pp.1-11
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• 2017

PURPOSES : This study is aimed at development of a stochastic pavement deterioration forecasting model using National Highway Pavement Condition Index (NHPCI) to support infrastructure asset management. Using this model, the deterioration process regarding life expectancy, deterioration speed change, and reliability were estimated. METHODS : Eight years of Long-Term Pavement Performance (LTPP) data fused with traffic loads (Equivalent Single Axle Loads; ESAL) and structural capacity (Structural Number of Pavement; SNP) were used for the deterioration modeling. As an ideal stochastic model for asset management, Bayesian Markov multi-state exponential hazard model was introduced. RESULTS:The interval of NHPCI was empirically distributed from 8 to 2, and the estimation functions of individual condition indices (crack, rutting, and IRI) in conjunction with the NHPCI index were suggested. The derived deterioration curve shows that life expectancies for the preventive maintenance level was 8.34 years. The general life expectancy was 12.77 years and located in the statistical interval of 11.10-15.58 years at a 95.5% reliability level. CONCLUSIONS : This study originates and contributes to suggesting a simple way to develop a pavement deterioration model using the total condition index that considers road user satisfaction. A definition for level of service system and the corresponding life expectancies are useful for building long-term maintenance plan, especially in Life Cycle Cost Analysis (LCCA) work.

• Journal of information and communication convergence engineering
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• 제7권3호
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• pp.275-280
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• 2009

While database(DB) and information retrieval(IR) have been developed independently, there have been emerging requirements that both data management and efficient text retrieval should be supported simultaneously in an information system such as health care, customer support, XML data management, and digital libraries. The great divide between DB and IR has caused different manners in index maintenance for newly arriving documents. While DB has extended its SQL layer to cope with text fields due to lack of intact mechanism to build IR-like index, IR usually treats a block of new documents as a logical unit of index maintenance since it has no concept of integrity constraint. However, In the DB-IR integrations, a transaction on adding or updating a document should include maintenance of the posting lists accompanied by the document. Although DB-IR integration has been budded in the research filed, the issue will remain difficult and rewarding areas for a while. One of the primary reasons is lack of efficient online transactional index maintenance. In this paper, performance of a few strategies for per-document basis transactional index maintenance - direct index update, pulsing auxiliary index and posting segmentation index - will be evaluated. The result shows that the pulsing auxiliary strategy and posting segmentation indexing scheme, can be a challenging candidates for text field indexing in DB-IR integration.

• Journal of Construction Engineering and Project Management
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• 제4권1호
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• pp.45-50
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• 2014

Productivity analysis is the most important and significant method for evaluating management and engineering performance during whole project stage. However, it is very difficult in developing qualitative index to construction industry comparing to other industries. Therefore, analytical hierarchy process (AHP) is one of the methods for overcoming these limitations by checking consistency index using duality comparison. In this study, it is scraped up an application plan and selection for innovative tools by analyzing survey results on tool users and site managers with respect to using Modified-AHP performance measurement method.