• Environmental and Resource Economics Review
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• v.11 no.4
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• pp.659-687
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• 2002

This study used a discrete choice model to investigate an association between air pollution and hospital visits for acute respiratory symptoms with the national health interview survey conducted in 1998 in South Korea. The results showed that $NO_2$ and TSP were significantly related to hospital visits in a single-pollutant model, but when they were simultaneously considered, only $NO_2$ remained significant. It was estimated as $NO_2$ level increased by 10%(0.0027ppm) from 0.027ppm (the mean $NO_2$ level), hospital visits increase by 0.176%. This study also measured respondent's out-of-pocket expense and the time cost for commuting and waiting for the visit. We found that on the average, out-of-pocket expense is 5,600 won per hospital visit, but the total cost per hospital visit is measured at 33,440 won with time cost of commuting and waiting at 27,840 won. Time cost was over 63.6~83.3% of the total cost per hospital visit.

• IE interfaces
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• v.13 no.2
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• pp.217-224
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• 2000

This paper analyzes the effects of setup cost reduction in a dynamic lot-sizing model for a single-facility multi-product problem. In the model, demands for each product are known, no backlogging is allowed, and a single resource is employed. Also, setup cost is defined as a function of capital expenditure to invest in setup cost reduction. Furthermore, in each production period the facility (or plant) produces many products, each representing a fixed part of the involved production activity (or input resource quantity). In this paper, the structure of the optimal solution is characterized and an efficient algorithm is proposed for simultaneously determining the optimal lot size with reduced setup cost and the optimal investment in setup cost reduction. Also, the proposed algorithm is illustrated by a numerical example with a linear and an exponential setup reduction functions.

• Journal of Korean Academy of Nursing Administration
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• v.11 no.1
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• pp.33-44
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• 2005

Purpose: This study was aimed to estimate nursing cost for hemodialysis of tertiary hospitals using Resource Based Relative Value Scale(RVRBS). Method: First, we calculated nursing workload of the each hemodialysis-nursing behaviors compared with basic nursing behavior(check vital sign) for the most severe hemodialysis patients in general hospitals. Second, we measured each spent time according to each nursing behaviors. Third, we computed Resource Based Relative Value(RBRV) scores and nursing expenses of each 14 nursing behavior for hemodialysis. Finally, we estimated nursing cost of each hemodialysis-behavior for the most severe hemodialysis-patients in general hospitals. Result: The mean RBRV scores for each nursing behaviors were from 218.9 to 383.9 points. The highest RBRV socres were 383.9(Complication during hemodialysis). The Nursing behavior that spent the most time was "access the vascular( 31.7 minutes)". Nursing cost per hemodialysis for the patient with severe condition was estimated 63,455(won). Conclusion: Total average workload was 347.6 points and total spent time was 306.5 minutes for 14 hemodialysis nursing behaviors provided to severe patients. There were clear differences in nursing workload and cost according to patient's severity-mild, moderate and severe class.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.15 no.8
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• pp.2783-2804
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• 2021

In the network function virtualization environment, dynamic changes in network traffic will lead to the dynamic changes of service function chain resource demand, which entails timely dynamic adjustment of service function chain resource configuration. At present, most researches solve this problem through virtual network function migration and link rerouting, and there exist some problems such as long service interruption time, excessive network operation cost and high penalty. This paper proposes a dynamic adjustment method of service function chain resource configuration for the dynamic changes of network traffic. First, a dynamic adjustment request of service function chain is generated according to the prediction of network traffic. Second, a dynamic adjustment strategy of service function chain resource configuration is determined according to substrate network resources. Finally, the resource configuration of a service function chain is pre-adjusted according to the dynamic adjustment strategy. Virtual network functions combination and virtual machine reusing are fully considered in this process. The experimental results show that this method can reduce the influence of service function chain resource configuration dynamic adjustment on quality of service, reduce network operation cost and improve the revenue of service providers.

• Journal of Information Technology Applications and Management
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• v.27 no.1
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• pp.111-123
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• 2020

This paper aims to highlight the importance of employee participation in green management in hotel firms. In particular, the study examined the role of employee participation in green management on cost saving as a hotel's performance indicator. We collected data from senior and general managers in Korean and US hotels. The results of the study supported our hypotheses, showing that the employee participation had a significantly positive relationship with cost savings in hotels. The results of the study also supported other hypotheses, showing that resource conservation and green building management had positive relationships with cost savings in hotels. Therefore, it can be predicted that green management can save cost in hotel firms. Such managerial implications are discussed.

• Journal of Korean Academy of Nursing Administration
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• v.5 no.2
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• pp.253-280
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• 1999

A cost analysis for hospitalized patients was performed based on the RBRVS in order to determine an appropriate nursing fee schedule. The study was conducted through three phases as follows: 1) Nursing activities provided for the inpatients currently in Korea were identified and classified using a taxonomy which was developed by our research team through the Delphi process. 2) The resource-based relative points for every nursing activity according to nursing time, mental effort and judgement, technical skill, physical effort and stress were determined through a survey of 300 clinical RNs working at 5 tertiary hospitals from May 25 to July 25. 1998. 3) The nursing cost of every nursing activity for hospitalized patients was estimated based on the RBRVS. As a result, 136 nursing activities were identified and classified by nursing processes and nursing domains. However, our classification system of nursing activities should continue to be refined, and all nursing practices should be standardized. The nursing activities were given resource-based relative points ranging from 100 to 400 points, then each nursing activity was assigned a value for the RBRVS, which was determined by the exponential function of 2resource-based relative point/100. Thus, a value of 2 was calculated for 100 points, 4 for 200 points, 8 for 300 points, and 16 for 400 points. Meanwhile, the unit cost of nursing was calculated as 170 Won. The nursing cost of 136 nursing activities was estimated using the RBRVS as shown in