• 한국환경과학회지
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• 제9권6호
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• pp.489-494
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• 2000

This research focused on the priotity decision for establishment sriteria on the effects which environmental sculptures in urban area. The analysis performed in this study used the AHP(Analytic Hierarchy Process) that is recognized as a useful decision-making tool to select and evaluate alternatives through pairwise comparison in the context of hierarchical decision structure. The results obtained from the analysis drawn by collecting the professional opinions of 5 experts for environmental sculptures are as follows: 1. The orders of establish criteria priorities on environmental sculptures were harmony of environment> symbol> public> function. The harmony of environment was the most important priority because it showed the highest weight of criteria. 2. The alternative priorities of environmental sculptures were the meaning of work>setting place> social contribution> physical quality .The meaning of work showed the highest change in the weight of alternative. 3.The sensitivity analysis of environmental sculptures demonstrated that the rate of change in the alternative priorities of the public was stabilized although the criteria importance varied, while the harmony of environment, the symbol intimated and function of priorities has their rates of weight changed if the criteria priorities were high.

• 국제학술발표논문집
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• The 3th International Conference on Construction Engineering and Project Management
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• pp.380-387
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• 2009

In the past, many state Departments of Transportation (DOTs) in the U.S. managed their highway assets on a "worst first" basis and planned their highway projects in a tactical rather than strategic fashion. Due to increasingly tight highway budgets and recognition of long term benefits of asset management systems, the Federal Highway Administration (FHWA) has strongly pushed and encouraged state DOTs to implement asset management for managing their highway assets and highway projects. Currently, many DOTs have actively implemented and are in the process of applying this asset management concept for their highway infrastructure. However, different DOTs are developing different asset management systems because of their different organizational structures, data management structures, relationship with the legislature, and investment priorities. This study first identifies asset management indicators which are essential to successfully implementing asset management systems for State highway assets. The research team conducted a survey of asset management experts and reviewed the practices and policies of leading DOTs in asset management. Based on these indicators, this study develops an Asset Management Assessment Model (AM²) for different asset management systems. This model can be used by different DOTs to evaluate their current asset management systems and identify their strong areas and also their weak areas to improve in order to fully benefit from the advanced concept of asset management.

• Journal of Information Technology Applications and Management
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• 제30권6호
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• pp.1-15
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• 2023

With the advent of the Fourth Industrial Revolution, propelled by digital technology, we are transitioning into an era of hyperconnectivity, where everything and objects are becoming interconnected. A smart supply chain refers to a supply chain system where various sensors and RFID tags are attached to objects such as machinery and products used in the manufacturing and transportation of goods. These sensors and tags collect and analyze process data related to the products, providing meaningful information for operational use and decision-making in the supply chain. Before the spread of COVID-19, the fundamental principles of supply chain management were centered around 'cost minimization' and 'high efficiency.' A smart supply chain overcomes the linear delayed action-reaction processes of traditional supply chains by adopting real-time data for better decision-making based on information, providing greater transparency, and enabling enhanced collaboration across the entire supply chain. Therefore, in this study, a hierarchical model for building a smart supply chain was constructed to systematically derive the importance of key factors that should be strategically considered in the construction of a smart supply chain, based on the major factors identified in previous research. We applied AHP (Analytical Hierarchy Process) techniques to identify urgent improvement areas in smart SCM initiatives. The analysis results showed that the external supply chain integration is the most urgent area to be improved in smart SCM initiatives.

• 한국지반환경공학회 논문집
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• 제21권10호
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• pp.11-16
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• 2020

우리나라의 농업용 저수지는 국가 주요 기반시설 중 하나로 국민의 삶에 중요한 역할을 수행하고 있다. 하지만 노후화된 저수지가 인명과 재산에 대한 위험 요소로 작용하고 있는 실정이다. 현재 전국에 40년이 넘은 노후화가 진행된 크고 작은 댐과 저수지가 건설되어 있다. 전국에 건설된 댐, 저수지의 관리주체는 여러 기관으로 나눠져 있다. 따라서 비용과 시간적 문제로 모든 댐, 저수지의 관리가 어려운 실정이다. 그렇기 때문에 적은 관리 인력과 전문지식이 부족한 현장의 관리자도 다수의 저수지에 대하여 위험요인을 신속히 파악하고 시설물을 상태를 파악할 수 있는 소규모 저수지에 최적화된 안정성 평가 시스템이 구축되어야 한다. 본 연구에서는 위험인자로 침투, 누수, 침하, 활동, 균열, 침식으로 항목들을 선정하였으며 항목들의 위험도를 평가하기 위해 다기준 의사결정(Multi-Criteria Decision Making : MCDM) 방법 중 하나인 계층적 분석 과정(AHP) 기법을 활용하였다. 분석 결과 침투, 누수, 균열, 활동, 침하, 침식 순으로 나타났다. 산정된 가중치를 활용하여 사전에 간편한 방법으로 댐 저수지 붕괴 위험도를 평가하여 정밀진단 우선순위를 결정 할 수 있을 것으로 판단된다.

• 수산경영론집
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• 제40권3호
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• pp.127-146
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• 2009

This study is to estimate the factor weights of the reasons for decreases in marine fishery resources using the Analytical Hierarchy Process. Furthermore, it classifies 20 fishes under a fishery resource recovery plan into various groups of fishes according to these factor weights using the non-hierarchial cluster analysis. The factors of decreases in marine fishery resources are identified as bio-ecological, technology-system, economic-business, and fishing village-society factors. Two of the most important factors of decreases in resource are turned out to be the economic-business and bio-ecological factors, estimated as 31% and 30% respectively. The technology-system and fishing village-society factors are estimated as 21% and 18% respectively. The study utilizes non-hierarchical cluster analysis in order to classify 20 fishes into 2, 3, and 4 groups. K-means cluster analysis is applied for grouping in conjunction with ANOVA to identify statistical differences in factors. Once again, the economic-business and bio-economic factors play main role in grouping 2-groups of fishes case. The third group of fishes in addition to the previous 2 groups of fishes appears as those 4 factors of decrease evenly play about the same role at a 3-groups of fishes case. Finally, the economic-business and bio-economic factors are turned out to be evenly important in the 4th group once there are 4-groups of fishes.

• 보건행정학회지
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• 제12권2호
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• pp.1-22
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• 2002

Since the early 1980s scholars have applied latent structure and other type of finite mixture models from various academic fields. Although the merits of finite mixture model are well documented, the attempt to apply the mixture model to medical service has been relatively rare. The researchers aim to try to fill this gap by introducing finite mixture model and segmenting inpatients DB from one general hospital. In section 2 finite mixture models are compared with clustering, chi-square analysis, and discriminant analysis based on Wedel and Kamakura(2000)'s segmentation methodology schemata. The mixture model shows the optimal segments number and fuzzy classification for each observation by EM(expectation-maximization algorism). The finite mixture model is to unfix the sample, to Identify the groups, and to estimate the parameters of the density function underlying the observed data within each group. In section 3 and 4 we illustrate results of segmenting 4510 patients data including menial and ratio scales. And then, we show AHP can be identify the attractiveness of each segment, in which the decision maker can select the best target segment.

• 한국조리학회지
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• 제14권3호
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• pp.123-135
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• 2008

The purpose of this study is to investigate the priority order in the factors influencing college choice of students who are majoring in culinary art in Chungcheong-do. For the study, we set the decision-making factors of upper hierarchies and nineteen bottom hierarchies based on the literature review and employed the analytical hierarchical process(AHP). As a result, the first considering factor among 4 upper hierarchies for college choice was the educational environments of the department(0.378). The next came in the order named as follows: college and university grade(0.263), the educational environments of colleges or universities(0.244), recommendation(0.115). The first considering factor among the educational environments of the department was the aptitude for the major(0.323). The first considering factor in college and university grade was the entrance competitive rate(0.397). The first considering factors among the educational environments of the colleges or universities were scholarships and tuition fees(0.325). The first considering factor in recommendation was the recommendation of a high school teacher(0.295). This results of this study will contribute to the development of colleges and universities under the turbulent changes of educational environments.

• 산업경영시스템학회지
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• 제35권4호
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• pp.149-161
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• 2012

The current environment of technological and competitive changes influences not only the business R&D environment but also government driven national R&D strategies. Open innovation has now become an important paradigm that is replacing the outdated paradigm of closed innovation. Many companies and nations have been increasing R&D investment because R&D has been considered a driving force for national and corporate competitive advantage. The purpose of this paper is to evaluate and compare the performance of R&D focused on open innovation according to scientific and technological outputs which is based on paper publications, patents and etc. Comparisons should not be only based on the quantity but also on the quality of the output. This paper shows that it is possible to develop DEA models that utilize the Analytical Hierarchical Process in order to transform the qualitative index into a quantitative index. Hence, the relative efficiency for R&D organizations is obtained based on both quantity and quality outputs and subsequently provides comprehensive and realistic methods for decision makers to identify levels of project efficiency.

• 한국멀티미디어학회논문지
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• 제24권8호
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• pp.1101-1113
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• 2021

The rapid growth of sense-and-respond applications and the emerging cloud computing model present a new challenge: providing publish/subscribe middleware as a scalable and elastic cloud service. The publish/subscribe interaction model is a promising solution for scalable data dissemination over wide-area networks. In addition, there have been some work on the publish/subscribe messaging paradigm that guarantees reliability and availability in the face of node and link failures. These publish/subscribe systems are commonly used in information-centric networks and edge-fog-cloud infrastructures for IoT. The IoT has an edge-fog cloud infrastructure to efficiently process massive amounts of sensing data collected from the surrounding environment. In this paper. we propose a quorum-based hierarchical fault-tolerant publish/subscribe systems (QHFPS) to enable reliable delivery of messages in the presence of link and node failures. The QHFPS efficiently distributes IoT messages to the publish/subscribe brokers in fog overlay layers on the basis of proposing extended stepped grid (xS-grid) quorum for providing tolerance when faced with node failures and network partitions. We evaluate the performance of QHFPS in three aspects: number of transmitted Pub/Sub messages, average subscription delay, and subscritpion delivery rate with an analytical model.

• 대한교통학회지
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• 제22권7호
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• pp.49-59
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• 2004

상하이항을 비롯한 북중국 항만이 우리나라 항만을 위협하는 상황으로 전개됨에 따라, 현재 이러한 항만들 사이에서 부산항 및 광향항의 경쟁력을 도모하기 위한 많은 연구들이 수행되고 있다. 그러나, 이러한 연구들은 경쟁력을 도출하고, 그것을 평가하는 데 비중을 두고 있는 반면, 평가된 결과를 토대로 경쟁력 도모를 위한 Critical Point를 명확히 추출한 연구는 전무한 실정이다. 즉, 기존의 분석법이 단순히 평가결과를 도출하는 것에 국한된 나머지, 평가결과로부터 평가에 영향을 끼친 항목이 명확히 무엇인지, 평가우위를 차지하기 위해 어떠한 부분을 개선시켜야 하는 지에 대한 해답을 제시하지는 못했다. 결과적으로, 이와 같은 문제는 평가결과로부터 경쟁력에 영향을 미쳤던 핵심 요인을 추출하는 알고리즘이 마련되어 있지 않은 것에 기인한다. 본 연구는 이러한 점에 주목하고, 우리나라 및 상하이 북중국 주요 항만을 대상으로 기존연구의 항만경쟁력 평가결과로부터 퍼지 역관계법을 이용하여 주요 항만의 경쟁력 상승에 영향을 미치는 핵심요인을 추출하고, 간단한 시나리오 분석을 통해 몇 가지 중요한 시사점을 제안하는 것을 연구의 목적으로 한다. 연구결과 부산항은 현 시점에서 무엇보다 역량을 집중해야 할 항목으로 배후지 여건 즉 항만배후지역의 자유무역지대의 활성화가 가장 큰 관건으로 나타났다. 광양항은 주요화물발생지까지의 거리, 효율적인 배후연계 네트워크 등에 역점을 두어야 하는 것으로 나타났다.