권호 표지

산업경영시스템학회지 (Journal of Korean Society of Industrial and Systems Engineering) (Journal of Korean Society of Industrial and Systems Engineering)

한국산업경영시스템학회 (Society of Korea Industrial and System Engineering)

  • 계간
  • /
  • 2005-0461(pISSN)
  • /
  • 2287-7975(eISSN)

과학기술표준분류

  • 경제/경영 ＞ 경영전략/윤리

Aim & Scope

As the flagship journal of the Society of Korea Industrial and Systems Engineering, Journal of Society of Korea Industrial and Systems Engineering launched in 1978 publishes original high-quality papers on a wide range of topics of interest to industrial engineers who want to remain current with the state-of-the-art technologies. It aims to foster the engineering and business administration community by publishing papers with a strong methodological focus motivated by real problems that impact engineering practice and research. It is composed of various focus issues: design and manufacturing, operations engineering and analysis, quality and reliability engineering, intelligent information systems, scheduling and logistics and business administration. The journal published quarterly in March, June, September and December each year. The official title of the journal is 'Journal of Society of Korea Industrial and Systems Engineering' and the abbreviated title is 'J. Soc. Korea Ind. Syst. Eng.'. All submitted manuscripts are peer-reviewed by three reviewers. The text may be written in Korean or English. The abstract, acknowledgement, and references should be written in English. Some, or all, of the articles in this journal are indexed in Korea Citation Index (KCI). Manuscripts should be sent to the editorial office by the website, 'http://ksie.ne.kr' that is the URL address of the journal where full text is available. This journal was supported by the Korean Federation of Science and Technology Societies(KOFST) Grant funded by the Korean Government.

http://ksie.or.kr/run/thesis/thesis.php?bid=thesis KSCI KCI

제24권63호

  1. 조용욱;박명규 1
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    When designing the parameter on the multiple quality characteristics, there has been a study for optimization of problems, but there has been few former study on the possible conflicting phenomena in consideration of the correlations among the characteristics. To solve the issue on the optimal design for multiple quality characteristics, this study propose the expected loss function with cross-product terms among the characteristics and derived range of the coefficients of the terms. The model will be used to determine the global optimal design parameters where there exists the conflict among the characteristics, which shows difference in optimal design parameters for the individual characteristics. Also, when an adjustment factor exists for each m performance characteristics, this research propose a method by minimizing the expected loss after adjustment.
  2. 신미경;민병찬;정순철;박미경;민병운;남경돈;김준수 13
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    The present study compared the two experimental methods on inquiring the image structure of odors: Presenting a stimulus is one, and not presenting a stimulus is the other. For experiment one, five odors were presented, and the subjects were instructed to evaluate the odors on 7-point scale for each of the 25 adjectives. For experiment two, no odor was presented, and the subjects were instructed to perform the pair-wise comparisons for the each pair of two adjectives on their similarities on 7-point scale. The data from the two experiments were analysed and compared using MDS(Multi-Dimensional Scaling), Correlation, Cluster Analysis. The results showed that there was no structural differences between two experimental methods in term of the Image structure of odors. But, minor disparity was found between two methods in terms of density of distribution of the adjectives. It was construed that the difference came from the difference of the memory that was used for each of the experiments; that is, short term memory for experiment one and long-term memory for experiment two.
  3. 한경록;김재련 23
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    Data mining can be either directed or undirected. One way of thinking about it is that we use undirected data mining to recognize relationship in the data and directed data mining to explain those relationships once they have been found. Several data mining techniques have received considerable research attention. In this paper, we propose an algorithm for discovering association rules as directed data mining and applying them to classification. In the first phase, we find frequent closed itemsets and association rules. After this phase, we construct the decision trees using discovered association rules. The algorithm can be applicable to customer relationship management.
  4. 서재준 33
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    To estimate the reliability of a large and complex network with a small variance, we propose two dynamic Monte Carlo sampling methods: the sequential minimal cut set (SMCS) and the sequential minimal path set (SMPS) methods. These methods do not require all minimal cut sets or path sets to be given in advance and do not simulate all arcs at each trial, which can decrease the valiance of network reliability. Based on the proposed methods, we develop the importance sampling estimators, the total hazard (or safety) estimator and the hazard (or safety) importance sampling estimator, and compare the performance of these simulation estimators. It is found that these estimators can significantly reduce the variance of the raw simulation estimator and the usual importance sampling estimator. Especially, the SMCS algorithm is very effective in case that the failure probabilities of arcs are low. On the contrary, the SMPS algorithm is effective in case that the success Probabilities of arcs are low.
  5. 구본철 45
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    The process capability indices have been widely used in manufacturing industries to provide numerical measures of process potential and performance. This study is concerned with process controls and adjustments by incapability index $C_{pp}$ and its sub-indices. A monitoring for $\^{C}_{pp}$ would provide a convenient way to monitor changes on process capability after statistical control is established, since $C_{pp}$ simultaneously measures process variability and centering. Further, we can separate charting of process location and variability by sub-indices of $C_{pp}$, ($C_{ia}$, $C_{ip}$), without returning to $\={x}$-R chart, even though an out-of-control signals on $\^{C}_{pp}$ control chart is found.
  6. Kim, Chae-soo;Shinn, Seong-whan 55
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    최근의 생산환경 변화에 따라 기업은 경쟁력 강화 및 매출 신장을 목적으로 고객의 구매비용에 대하여 일정기간 외상을 허용하고 있으며, 또한 경쟁기업간에 제품 수요 증대를 통한 경쟁우위를 위하여 고객의 구매비용에 따라 차별적으로 신용기간이 적용되는 경우를 흔히 볼 수있다. 본 연구는 이와 같이 구매비용에 따라 차둥적으로 신용기간이 허용되는 상황에 대한 재고모형을 분석하였고, 최적재고정책 결정을 위한 해법을 개발하였다.
  7. 박기주 65
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    A more technical perspective is needed in estimating the effect of the Manufacturing Process for improving the Productivity, there are many statistical evaluation methods, convenience sampling, frequencies, histogram, QC seven tools, control chart etc. It is more important for the companies to use six sigma to reduce defective and improve the process control than the technical definition as a disciplined quantitative approach for improvement of process control and a new way of quality innovation. Process network analysis is a technique which has the potentiality for a wide use to improve the manufacturing process which other techniques can't be used to analyze effectively. It has some problems to analyze the process with feedback loops. The branch probabilities during quality inspections depend upon the number of times the product has been rejected. This paper presents how to improve the manufacturing process by statistical process control using branch probabilities, Moment Generating Function(MGF) and Sensitivity Equation.
  8. 허미화;염창선 79
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    To make cyber universities competitive, the level of the learning effect for students should be improved. The objective of this study is to analyse the factors influencing the learning effect of cyber universities. For this purpose, questionnaire survey has been used. For the statistical analysis, multivariate linear regression were utilized using the SAS program. According to the results in this study, the variables that influence toward the learning effect are the experience of computer, the systematic and comprehensive lecture note, and the quickly responses to questions. These variables can be utilized in improving the educational service quality of cyber universities.
  9. 정영배 89
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    This paper proposes assessment of quality management activities based on cost of quality. Cost of quality is considered prevention cost, appraisal cost, internal failure cost, external failure cost in this paper. This paper shows quality cost magement system in thermal power site devision according to activity analysis. Cost of quality in power industries provides a valuable method of both proving the need for improvement and giving a starting point for projects.
  10. 박해천;홍남표 101
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    This study is concern with the design of experiment planning for quality improvement in flow shop manufacturing system. In this study, the procedure of two stage experiment planning are proposed and applied to the manufacturing process of Li/$MnO_2$ batteries. The result of in this paper is that, compared with the current process conditions, 52% of the insulation inspection process, 81.6% of the first premier discharge process, 98.5% of the second premier discharge process, 84.7% of O.C.V./C.C.V. process, and 86.2% of voltage inspection process are decreased. After a given period of time, the life of the batteries extends to 75 hours, which means the 15% improvement in capacity. In case that the proposed methods are applied to the process Improvements of the flow shop manufacturing system, the much effected in experimental cost- saving and quality improvement.