• Journal of Digital Convergence
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• v.12 no.9
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• pp.265-274
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• 2014

We sought to derive an overall strategy for green business certification of medical institutions and to propose the improvement directions for green management evaluation systems through applying the criteria to medical institutions. A self-assessment survey was conducted at 44 targeted hospitals across the country, and the 2012 green management evaluation criteria for healthcare services were used as assessment tools. As a result, only 11 of the 44 hospitals were eligible for green business certification. By type, hospitals with more than 400 beds, hospitals in Seoul and the Gyeonggi area (${\geq}$ 400 beds) and private hospitals (${\geq}$ 400 beds) received relatively high scores. In an analysis of the mean score, only the difference between the hospitals with ${\geq}$ 400 beds and < 400 beds was statistically significant. When we analyzed the interviews of the hospitals with lower scores, it is important to change the awareness of executives and employees, to establish vision/strategy/objective, to promote relatively small-scale activities, and to establish long-term plans. To improve green management evaluation systems, it is necessary to reset the assessment area, to control scoring and weights, to create certification grades, and to adjust additional points.

• Journal of Energy Engineering
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• v.29 no.1
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• pp.13-24
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• 2020

Many countries are actively engaging in the reduction of greenhouse gas emissions, and as part of this effort, gradually reducing the portion of coal power generation and instead increasing the portion of power generations from renewable energy sources and natural gas. Korea is taking a similar policy to expand LNG power generation for the next decade. There is a concern, though, about the policy not being aligned with the domestic industry development, since only a few products are being made in Korea along the LNG power generation industry value chain. Therefore in this paper, we first looked at the current status of the gas turbine and high temperature parts industry used for LNG power generation in Korea, and then looked into the industrial issues and challenges through the analysis of supply chains of the domestic gas turbine industry. Finally, we tried to propose strategies to revitalize and localize the domestic gas turbine and high temperature parts industry. The proposed strategies can be summarized as 1) creation of domestic gas turbine manufacturing ecosystem via construction of gas turbine alliance, 2) strategic R&D support for localization of gas turbine and high temperature parts, and 3) provision of domestic testbeds for technology evaluation and commercialization.

• Proceedings of the Korea Inteligent Information System Society Conference
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• 2001.01a
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• pp.169-175
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• 2001

It is not easy for business workers to find proper information for his job, because of the following problems:(1) information exist in various information system both internal and external with diverse formats(2) he cannot estimate relevance of all the information and (3) he cannot select proper information among large volume of information. The requirements for the systems are the following things:(1) search of relevant information from various internal and external information systems(2) proving an integrated view of information for workers, and (3) information processing and decision-making are seamlessly integrated fro business workers. We proposed an agent system to fulfill the requirements. We focus on the purchasing job, and developed a prototype system. PIPA(Purchasing Information Process Agent). The PIPA performs not only information processing jobs(information search gathering, display, business form -making)but also decision-making support job (evaluation of supplier candidates, and apply of sourcing policy) for sourcing manager. The framework of the PIPA can be appled to other information processing and desision-making jobs.

• Proceedings of the Korea Society for Simulation Conference
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• 2001.10a
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• pp.435-439
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• 2001

In many make-to-order production systems customers ask due date confirmed and kept. Unexpected urgent orders from valuable customers often requires short lead times, which causes existing orders in the production schedule to be delayed so that their confirmed due dates cannot be met. This Imposes significant uncertainty on the production schedule in a supply chain. In this paper, we propose a new concept of capacity reservation as a viable tool for due date promising and suggest its operational alternatives. Simulation results show that the reserved capacity scheme appears to outperform simple FCFS scheduling policy in terms of the number of valuable urgent orders accepted and total profit attained.

• Journal of the Korean Data and Information Science Society
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• v.22 no.5
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• pp.989-998
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• 2011

Cloud computing provides computation, software, data access, and storage services that do not require end-user knowledge of the physical location and configuration of the system that delivers the services. Cloud computing providers have setup several data centers at different geographical locations over the Internet in order to optimally serve needs of their customers around the world. One of the fundamental challenges in geographically distributed clouds is to provide efficient algorithms for supporting inter-cloud data management and dissemination. In this paper, we propose a group quorum system (GQS)-based dissemination for improving the interoperability of inter-cloud in time-critical event dissemination service, such as computing policy updating, message sharing, event notification and so forth. The proposed GQS-based method organizes these distributed clouds into a group quorum ring overlay to support a constant event dissemination latency. Our numerical results show that the GQS-based method improves the efficiency as compared with Chord-based and Plume methods.

• Korean Management Science Review
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• v.34 no.2
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• pp.67-83
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• 2017

This paper proposes a R&D project performance measurement model for private firms combining balanced scorecard (BSC) and data envelopment analysis (DEA). The efficiency of R&D projects is measured in terms of each of the three perspectives of BSC by using DEA : the internal process perspective (DEA-P), the customer perspective (DEA-C), and the financial perspective (DEA-F). The performance indicators of the three perspectives of BSC are considered as outputs of the corresponding DEA models. To provide strategic implications for R&D planning, we also propose the R&D project performance matrices composed of two different types of efficiency dimensions. The proposed model is expected to be fruitfully utilized for R&D performance measurement of private firms.

• East Asian mathematical journal
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• v.31 no.2
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• pp.189-210
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• 2015

Character means a person's nature and the mind and behavior to lead a desirable life personally and socially. Also character can be changed with education and environment. Therefore character education will be possible to do practice through various educational activities and life experiences in school. In other words, we think that students will get person's character required to lead a desirable life personally and socially beyond what they just learn knowledge and skill, enter the higher schools and succeed one's way. This study accepts merits of existing character education policy through subject(mathematics) education and focus on direction for character education through subject(mathematics) education for systematic and synthetic approach for practice of character education. For this, we will see applicability of the plan for character education in the whole subject education, in particular focusing on cases of character education in mathematics subject.

• Restorative Dentistry and Endodontics
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• v.43 no.3
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• pp.34.1-34.5
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• 2018

In the previous section, we established a simple linear regression line by finding the slope and intercept using the least square method as: ${\hat{Y}}=30.79+0.71X$. Finding the regression line was a mathematical procedure. After that we need to evaluate the usefulness or effectiveness of the regression line, whether the regression model helps explain the variability of the dependent variable. Also, statistical inference of the regression line is required to make a conclusion at the population level, because practically, we work with a sample, which is a small part of population. Basic assumption of sampling method is simple random sampling.

• IE interfaces
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• v.20 no.1
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• pp.21-32
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• 2007

This paper deals with the simulation model for A-Mart logistic center design and operations. In developed simulation model, receiving docks, conveyor sorter, conveyor system, shipping docks, material handling devices and manual sorting stations are considered. Three types of cargo such as transfer center cargo, distribution center cargo and supermarket cargo are considered. The simulation model and process animation are developed using the simulation package ARENA. Among various design and operation alternatives consisting of the number of workers of receiving dock, allocation of receiving docks by cargo types, conveyor sorter velocity, the number of folk-lift, the number of manual sorting operators and overall layout, the best alternatives of each subsystem are selected by simulation analysis. The major performance measures such as sorter throughput, utilization of operators at each station, receiving docks utilization and folk-lift utilization are considered for the alternative evaluation.

• Journal of Electrical Engineering and Technology
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• v.9 no.3
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• pp.796-802
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• 2014

South Korea is recently under serious situation in supplying electricity with enough power reserve. A single fault of power plant at a peak-load time may lead to a total blackout for whole area connected by a single electric grid and isolated from other grids. Despite of the seriousness of blackout, however, there are scarce studies with ex-ante analysis of the economic costs from blackout. In order to evocate the seriousness, we calculate the economic costs for both industrial and household sectors with using some survey data and statistical methodologies. As a result, total economic costs are 39.23 trillion KRW (35.83 trillion KRW for industrial sector, 3.40 trillion KRW for household sector).