• 산업경영시스템학회지
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• 제36권3호
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• pp.34-42
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• 2013

In this study, we develop a method for analyzing business process based on the event-driven process chain (EPC) model. The method consists of five stages such as identifying abnormal events, finding causes for the abnormal events and problems caused by the abnormal events, making cause-and-effect chains, drawing root-cause map, and defining improvement areas. We illustrate how to apply the method with some examples for the domestic registered mail delivery process.

• 로봇학회논문지
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• 제14권4호
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• pp.326-332
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• 2019

In the case of conventional soft robots, the basic stiffness is small due to the use of flexible materials. Therefore, there is a limitation that the load that can bear is limited. In order to overcome these limitations, a study on a variable stiffness method has been conducted. And it can be seen that the jamming mechanism is most effective in increasing the stiffness of the soft robot. However, the jamming mechanism as a method in which a large number of variable act together is not even theoretically analyzed, and there is no study on intrinsic principle. In this paper, a study was carried out to increase the stability of the force chain to increase the stiffness due to the jamming transition phenomenon. Particle size variables, backbone mechanisms were used to analyze the stability of the force chains. We choose a jamming mechanism as a variable stiffness method of a soft robot, and improve the effect of stiffness based on theoretical analysis, modeling FEM simulation, prototyping and experiment.

• JSTS:Journal of Semiconductor Technology and Science
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• 제7권4호
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• pp.221-228
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• 2007

In this paper, we propose a new symbolic simulation for scan chain diagnosis to solve the diagnosis resolution problem. The proposed scan chain fault simulation, called the SF-simulation, is able to analyze the effects caused by faulty scan cells in good scan chains. A new scan chain fault simulation is performed with a modified logic ATPG pattern. In this simulation, we consider the effect of errors caused by scan shifting in the faulty scan chain. Therefore, for scan chain diagnosis, we use the faulty information in good scan chains which are not contaminated by the faults while unloading scan out responses. The SF-simulation can tighten the size of the candidate list and achieve a high diagnosis resolution by analyzing fault effects of good scan chains, which are ignored by most previous works. Experimental results demonstrate the effectiveness of the proposed method.

• 유통과학연구
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• 제20권10호
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• pp.93-103
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• 2022

Purpose: This study aims to determine the relationship between disruptive factors and customer satisfaction at chain stores. Survey-based questionnaires were designed in the distribution technique to measure the findings in this study. Research design, data, and methodology: In terms of the sampling technique, the researchers adopted the simple random sampling technique with a total of 200 sample sizes. For the statistical method, the researchers applied multiple linear regression analysis to determine the potential factors that affect customer satisfaction at chain stores. The analysis of this study measured how product quality, pricing policies of chain stores, design and layout, responsiveness, and location of chain stores impart their roles in customer satisfaction. Results: This study found a significant relationship between the product quality and location of chain stores on customer satisfaction. In addition, the responsiveness, pricing policy, and physical design of chain stores impart an insignificant role in customer satisfaction. However, it is proven that the location of chain stores and product quality positively impact customer satisfaction. Conclusions: The study is geographically limited to the region of Karachi, Pakistan. Therefore, the findings may differ in the context of study implications in the other areas.

• Journal of Information Processing Systems
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• 제15권3호
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• pp.655-669
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• 2019

Supplier evaluation is of great significance in green supply chain management. Influenced by factors such as economic globalization, sustainable development, a holistic index framework is difficult to establish in green supply chain. Furthermore, the initial index values of candidate suppliers are often characterized by uncertainty and incompleteness and the index weight is variable. To solve these problems, an index framework is established after comprehensive consideration of the major factors. Then an adaptive weight D-S theory model is put forward, and a fuzzy-rough-sets-AHP method is proposed to solve the adaptive weight in the index framework. The case study and the comparison with TOPSIS show that the adaptive weight D-S theory model in this paper is feasible and effective.

• International Journal of Advanced Culture Technology
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• 제8권2호
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• pp.192-203
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• 2020

Although the market demand for cold-chain logistics of agricultural products in China is growing rapidly, the technology and scale of cold-chain logistics in China still lag behind the developed countries, resulting in large energy consumption. In our country, many authors have studied the efficiency of cold-chain logistics by using analytic hierarchy process and data envelopment method, but they haven't eliminated the influence of environmental factors and random error factors on the efficiency of cold-chain logistics, and most of them are limited to regional research. Therefore, in this paper, the three-stage DEA method is used. Based on the green logistics idea, firstly, the efficiency of 29 listed logistics enterprises in China is analyzed. Secondly, this paper uses SFA model to exclude the influence of environment and error factors on the analysis results, taking the enterprise's operating years, local GDP and the proportion of cold chain assets as environmental variables. Finally, this paper estimates the efficiency value again by adjusting the input value. The results are as follows: the main reason of high efficiency enterprises is to achieve scale efficiency. So the scale of assets should be maintained or appropriately expanded. At the same time, the economic development and the number of years of enterprise establishment will significantly affect the efficiency of cold-chain logistics. The influence of these environmental variables on the accuracy of the analysis conclusion should be fully considered.

• 한국전자거래학회지
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• 제9권4호
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• pp.65-83
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• 2004

기업간 경쟁의 격화와 정보기술의 발달로 인하여 많은 기업들이 공급사슬관리(SCM)를 도입하고 있다. 이에 따라, 공급사슬상의 관련 기업간의 상호작용과 정보공유에 기반한 공급사슬 통합이 추진되고 있으며, 웹서비스 와 같은 시스템에 독립적인 기술 적용의 필요성이 제기되고 있다. 웹서비스를 이용하면서도 높은 수준의 공급사슬 통합이 이루어지기 위해서는, 여러 상호작용주체가 참여하는 글로벌 프로세스 수준에서 SCM 프로세스를 관리하고 제어할 필요가 있으며, 본 논문에서는 비즈니스 프로세스 자동화 및 관리도구로 최근 각광을 받고 있는 BPM을 도입하여 각 업무단위가 웹서비스로 구성된 환경에서 SCM을 구성하는 프로세스를 효과적으로 통합하여 실행하는 방안을 제시한다. 이러한 접근법은 SCM 프로세스의 진행과정을 보다 효율적으로 관리, 모니터링하는 것이 가능하며, SCM 프로세스의 수행결과를 토대로 프로세스의 개선에 대한 방안을 모색할 수 있다. 또한, SCM 프로세스의 진행과정에서 의사결정이 필요한 경우 이에 대한 지원 에이전트를 웹서비스로 구성하여 보다 신속한 프로세스 수행을 가능하게 한다.

• Elastomers and Composites
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• 제40권1호
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• pp.53-58
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• 2005

사염화탄소는 C-Cl결합이 끊어진 후에 생성되는 삼염화탄소 라디칼의 공명 안정성에 의해 매우 반응성이 높은 사슬이동제로 알려져 있으며, 본 논문은 벤질 라디칼과 삼염화탄소 라디칼의 안정성을 비교연구하였다. 큐밀클로라이드는 C-Cl결합이 끊어진 후에 벤질 라디칼을 생성하므로 이 연구에 적합한 구조이다. 큐밀클로라이드와 사염화탄소의 반응성은 스티렌을 단량체로 한 자유라디칼 중합을 통해 계산된 사슬 이동 상수로 비교하였다. 실험 결과에 따르면 큐밀클로라이드는 사염화탄소보다 더 반응성이 높았다. 계산된 큐밀클로라이드의 스티렌에 대한 사슬이동상수 값이 약 0.0463으로 0.0011인 사염화탄소 보다 훨씬 높았다. 이 결과는 벤질 라디칼이 삼염화탄소 라디칼보다 훨씬 높은 안정성을 보여주기 때문인 것으로 추정된다. 큐밀클로라이드의 사슬이동상수의 유효성을 조사하기 위하여 Monte Carlo 모의 실험방법을 사용하였다.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2005년도 추계학술대회 논문집 전력기술부문
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• pp.230-233
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• 2005

This paper proposes power qualify assessment using Markov Chain applied to Ergodic theorem. The Ergodic theorem introduces the state of aperiodic, recurrent, and non-null. The proposed method using Markov Chain presents very well generated harmonic characteristics according to the traction's operation of electric railway system. In case of infinite iteration, the characteristic of Markov Chain that converges on limiting probability Is able to expected harmonic currents posterior transient state. TDD(Total Demand Distortion) is also analyzed in expected current of each harmonic. The TDD for power quality assesment is calculated using Markov Chain theory in the Inceon international airport IAT power system.

• Carbon letters
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• 제25권
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• pp.55-59
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• 2018

Carbon chain inserted carbon nanotubes (CNTs) have been experimentally proven having undergone pronounced property change in terms of electrical conductivity compared with pure CNTs. This paper simulates the geometry of carbon chain inserted CNTs and analyzes the mechanism for conductivity change after insertion of carbon chain. The geometric simulation of Pt doped CNT was also implemented for comparison with the inserted one. The results indicate that both modification by Pt atom on the surface of CNT and addition of carbon chain in the channel of the tube are effective methods for transforming the electrical properties of the CNT, leading to the redistribution of electron and thereby causing the conductivity change in obtained configurations. All the calculations were obtained based on density functional theory method.