• Journal of the Korean Data and Information Science Society
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• 제25권3호
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• pp.567-578
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• 2014

이 연구는 Rasch 모형을 적용하여 우리나라 엘리트 선수의 도핑 사고성향 분석을 위한 PEAS의 타당도를 검증하는데 목적이 있다. PEAS (performance enhancement attitude scale)는 Petroczi (2006)이 제시한 선수들의 도핑 (doping)에 대한 사고방식과 성향을 측정하는 척도로 17문항 6점 척도로 구성되어 있다. 국가대표 엘리트 선수 438명을 대상으로 측정하였고, Rasch 모형을 적용하여 타당도를 분석하였다. 우선 Rasch 모형의 기본가정인 일차원성을 검증하기 위해 SPSS 프로그램을 적용하여 주성분분석을 실시하였다. 문항의 적합도 검증과 측정척도 범주의 타당도, 그리고 성별에 따른 차별기능문항을 추출하기 위해 Winsteps 프로그램을 이용하였다. 분석에 모든 유의수준은 .05로 설정하였다. 자료분석 결과는 다음과 같다. 첫째, 총 17문항으로 구성된 PEAS는 일차원성을 만족하는 것으로 나타났다. 둘째, 응답범주 수의 타당도는 6점척도보다 5점척도가 더 적합한 것으로 나타났다. 셋째, 문항의 적합도는 17문항 중 7문항 (문항1, 문항9, 문항10, 문항12, 문항13, 문항14, 문항17)이 통계적으로 적합하지 못한 것으로 나타났다. 넷째, 성별에 따른 차별기능문항 분석 결과 3문항 (문항3, 문항12, 문항13)이 추출되었다. 따라서 이 연구에서 우리나라 엘리트 선수의 도핑 사고성향분석을 위한 PEAS는 9문항 5점척도가 타당한 것으로 구명되었다.

• 산업공학
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• 제14권3호
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• pp.286-295
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• 2001

This paper addresses the problem of determining the proper level of concurrent spare parts(CSP) for a system consisting of multi-item parts under an available budget constraint. Initial provisioning of spare parts plays a major role in the acquisition of a new equipment system. Therefore, the proper level of spare parts should be on hand to maintain the availability of the system. This paper proposes a new CSP model and solution procedure that determines the proper level of spare parts satisfying the item priority and simultaneously available budget constraint.

• 한국경영과학회지
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• 제24권3호
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• pp.1-11
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• 1999

We consider the problem of determining the spare inventory level for a multiechelon repairable-item inventory system. Our model extends the previous results to the system which has an inventory at the central depot as well as bases. We develop an optimal algorithm to find spare inventory leveis, which minimize the total expected cost and simultaneously satisfy a specified minimum service rate. The algorithm is tested using problems of various sizes to verify the efficiency and accuracy.

• 한국공작기계학회:학술대회논문집
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• 한국공작기계학회 2001년도 춘계학술대회 논문집(한국공작기계학회)
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• pp.300-305
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• 2001

Competitive power is rapidly manufacture product required consumers. Therefore, modern industry have changed from small item many production to many item small production. rapid production is necessary thing at the product development. Thus, rapid prototyping is appeared. If the graphic model was made by CAD, the production can be made in short term. That provide what the part was directly tested by the worker. It provide believable data. This study is experiment on surface roughness of part at FDM

• 한국정밀공학회:학술대회논문집
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• 한국정밀공학회 2001년도 춘계학술대회 논문집
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• pp.1037-1041
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• 2001

Competitive power is rapidly manufacture product required consumers. Therefore, modern industry have changed from small item many production to many item small production, rapid production is necessary thing at the product development. Thus, rapid prototyping is appeared. If the graphic model was made by CAD, the production can be made in short term. That provide what the part was directly tested by the worker. It provide believable data. This study is Imfluence of Surface roughness on Rapid prototyping by FDM(Fused deposition modeling).

• 산업경영시스템학회지
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• 제23권54호
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• pp.119-128
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• 2000

This study develops the pay satisfaction questionnaire for Korean employees. Based upon the review of previous studies, 16 questionnaire items are developed. Exploratory factor analysis results in a modified measurement through item deletion, item-to-dimension reassignment, and dimension combination. The measurement model was good fit assessed by overall fit measures(GFI; goodness of fit index, AGFI; adjusted goodness of fit index, RMR; root mean square residual) criteria, lambda score, and squared multiple correlation with confirmatory factor analysis. Implication of this work for future theoretical and empirical development are suggested.

• 한국콘텐츠학회논문지
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• 제9권1호
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• pp.147-158
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• 2009

최근 스트림데이터 환경의 데이터 모델은 데이터의 양이 아주 크고 연속적이며 무한하다. 이에 반해 제한된 용량의 디스크나 메모리 등을 이용해서 질의 처리나 데이터 분석을 처리한다. 이러한 환경에서 트랜잭션 데이터베이스에 대한 전통적인 빈발패턴탐사는 불가능하다고 할 수 있다. 왜냐하면, 연속적으로 들어오는 스트림 데이터에 대해 어떤 항목집합이 빈발항목인지 아닌지에 대한 정보를 계속적으로 유지 관리하기가 어렵기 때문이다. 본 논문에서는 연속적으로 들어오는 스트림 데이터에 회귀모델을 적용하여 빈발 항목들을 예측할 수 있는 방법을 제안한다. 스트림 데이터로부터 회귀모델을 생성함으로써 불확실한 항목들에 대한 예측 모델로 사용할 수 있다. 다양한 실험을 통하여 제안하는 방법이 스트림 데이터 환경의 데이터에 효율적으로 사용될 수 있음을 보인다.

• Industrial Engineering and Management Systems
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• 제8권2호
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• pp.72-79
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• 2009

The ultimate goal of inventory management is to decide the timing and the quantity of ordering in response to uncertain demands. Recently, some researchers have focused upon an impact of distortions in the information, e.g., customer order cancellation, on an economical inventory policy. The customer order cancellation is considered a kind of distortions in demands, because a demand that is eventually cancelled is equivalent to a phony demand. Also, there are some additional distortions in the inventory information. For instance, the procurement of suppliers may include some nonconforming items as a result of imperfect production and inspection by the suppliers, and/or damage in transit. The nonconforming item should be considered a kind of distortions in the inventory information, because the nonconforming item is equivalent to a phony stock. In this article, we consider an inventory model under the situation that customers can cancel their orders and the procurement of suppliers may include some nonconforming items. Then, we introduce the customer order reservation into the inventory model for the purpose of avoiding the costly backlogs, because the customer order reservation gives retailers a period to fulfill customer's requests. We formulate a periodic review (s, S) inventory model and investigate the economical operation under the situation mentioned above. Further, through the sensitivity analysis, we show the impact of these distortions and the effect of the customer order reservation on the inventory policy.

• 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.

• 산업경영시스템학회지
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• 제20권44호
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• pp.179-184
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• 1997

A solution procedure to minimize total carousel related costs has been developed under the carousel throughput rate and total storage capacity requirements. The carousel related costs include carousel facility costs which are proportional to the number of carousels and carousel operating costs which are directly related to the moving distances of carousels. The number of carousels is dependent upon the size of a carousel and the moving distances are determined by the size of a carousel, storage item assignment to each carousel, and the item positions in a carousel. When the storage/retrieval requirements for each storage item is equal, an optimal algorithm has been developed. When the storage/retrieval requirements is unequal, a heuristic solution procedure has been developed because of the complexity of the problem.