• 한국공작기계학회논문집
• /
• 제18권1호
• /
• pp.59-67
• /
• 2009

The purpose of this study is to provide a decision support to select an appropriate layered manufacturing(LM) machine that suits the application of a part. Selection factors include concept model, form/fit/functional model, pattern model far molding, material property, build time and part cost that greatly affect the performance of LM machines. However, the selection of a LM is not an easy decision because they are uncertain and vague. For this reason, the aim of this research is to propose hybrid multiple attribute decision making approaches to effectively evaluate LM machines. In addition, because subjective considerations are relevant to selection decision, a fuzzy logic approach is adopted. The proposed selection procedure consists of several steps. First, we identify LM machines that the users consider After constructing the evaluation criteria, we calculate the weights of the criteria by applying the fuzzy Analytic Hierarchy Process(AHP) method. Finally, we construct the fuzzy Technique of Order Preference by Similarity to Ideal Solution(TOPSIS) method to achieve the ranking order of all machines providing the decision information for the selection of LM machines.

• 한국과학교육학회지
• /
• 제16권3호
• /
• pp.314-328
• /
• 1996

This study investigated the literature about science process skills' evaluation to analyse transition of evaluation objectives before and after a Scholastic Ability Test for College Entrance. In the literature survey the researcher established a 3 dimensional science assessment framework with X axis as science concept, Y axis as science process skills and Z axis as problem context. In order to analysis and compare each items the researcher selected 210 items from the 1st to the 7th trials and 138 items from the 1st to 4th Scholastic Ability Test for College Entrance and sampled 2873 science achievement test items from 10 high schools. In accordance with this taxonomy the researcher analysed and compared science process skills item forms. The following results were drawn : The items were evenly distributed in all the four areas(Earth Science, Biology, Physics and Chemistry) of the science concept domain, but they were heavily concentrated on data analysis and drawing a conclusion in science process domain. In the domain of problem context school context was the majority. In spite of distribution like this the ratio on science process skills measurement items and science achievement test items was increased after the Scholastic Ability Test for College Entrance was given. Also the ratio on item expression type was increased. Item form was almost 5 options selection type in the national level test. Although there were 4 options selection type, 5 options selection type, short answer type, essay type in school level test, rising from 33.1% to 65.5% on 5 options selection type is exhibited. This study showed that the school level item form was better various than the nation level. This point like this is the evidence for the improvement toward the science process skills test and influenced by Scholastic Ability Test for College Entrance. The ratio on the item which joined with the 3 axes had a mean of 99.3% in nation level test and mean 44.9% in school achievement test level. But the ratio in the school achievement test level increased after the Scholastic Ability Test for College Entrance was given. In view of this study we must furthermore study the item types which can evaluate valjdately science process skill's five stage each and evaluation method by the high school students' problem solving patterns and features in scientific inquiry on all science process skills elements.

• 지능정보연구
• /
• 제12권1호
• /
• pp.57-73
• /
• 2006

제조 라인의 설계에 있어서 물류설비의 선정은 매우 중요한 부분이다. 생산라인의 특성을 충분히 고려하여 물류설비를 선정하기 위해서는 다양한 요소들이 고려되어야 하며 그 요소들 가운데는 정량적인 요소(예, 자재 부피, 무게)들 뿐만 아니라 정성적인 요소(예, 유지 보수, 통합성)들도 포함된다. 정량적인 요소는 해당 물류설비의 사양 등을 통해 보다 쉽게 평가가 가능하지만 정성적인 요소는 객관적인 분석이 매우 어려운 부분이다. 실제 사례에서도 물류설비선정 시 정량적인 요소들만 검증되고 정성적인 요소들은 대부분 배제되는 것으로 나타나고 있다. 본 연구에서는 물류설비의 보다 효율적인 평가 및 선정을 위해 정량적인 요소뿐만 아니라 정성적인 요소들을 반영할 수 있는 방안을 제시하고자 한다. 이를 위해 전문가 지식 기반의 룰 (Rule) 및 퍼지 로직을 연계한 통합 방안을 개발하였다. 우선 전문가 지식 기반의 룰을 통해 해당 공정간 적절한 물류설비 유형 및 가능한 대안 유형들을 찾아내고 이들 중 정성적인 요소들까지를 반영하여 최적의 물류설비를 선정하기 위해 퍼지이론이 적용되었다. 본 연구를 통해 퍼지 이론의 제조 물류부분 적용 가능성을 제시하였다.

• 지식경영연구
• /
• 제13권3호
• /
• pp.55-77
• /
• 2012

Selecting promising technology is becoming more and more difficult due to the increased number and complexity. In this study, we propose hybrid AHP/DEA-AR method and hybrid AHP/DEA-AR-G method to evaluate efficiency of technology alternatives based on ordinal rating data collected through survey to technology experts in a certain field and select efficient technology alternative as promising technology. The proposed method normalizes rating data and uses AHP to derive weights to improve the credibility of analysis, then in order to avoid basic DEA models' problems, use DEA-AR and DEA-AR-G to evaluate efficiency of technology alternatives. In this study, we applied the proposed methods to clean technology and compared with the basic DEA models. According to the result of the comparison, we can find that the both proposed methods are excellent in confirming most efficient technology, and hybrid AHP/DEA-AR method is much easier to use in the process of technology selection.

• 생명과학회지
• /
• 제32권4호
• /
• pp.279-284
• /
• 2022

본 연구는 일반농가에서 적용 가능한 유전평가시스템을 구축을 위해 경기 지역에서 사육중인 암소 619두를 BLUP (Best Linear Unbiased Prediction)과 GBLUP (Genomic Best Linear Unbiased Prediction)을 사용하여 각 형질(도체중, 등심단면적, 등지방두께, 근내지방도) 별 추정 육종가의 정확도를 비교분석 하였다. GBLUP의 경우 참조집단의 크기를 다르게 그룹을 나누어 분석하였다. 분석결과 GBLUP 참조집단의 크기가 커질수록 각 형질의 육종가의 정확도도 상승하는 것을 확인 하였다. BLUP과 GBLUP 방법을 사용하여 추정한 육종가의 정확도를 비교하면, GBLUP 방법을 사용하여 육종가를 추정하였을 때 도체중, 등심단면적, 등지방두께 근내지방도순으로 각각 0.10, 0.09, 0.09, 0.11 이상 상승한 것을 확인할 수 있었다. 따라서, GBLUP 방법을 암소 평가 및 선발에 적용한다면, 정밀하고 정확한 개체 선발이 가능하고 참조집단의 크기를 더욱 키운다면 보다 정확한 개체 선발을 할 수 있기 때문에 선발의 효율성이 증가할 것으로 사료된다.

• 한국초지조사료학회지
• /
• 제43권4호
• /
• pp.248-256
• /
• 2023

방목생태축산 활성화 방안으로는 정부 소유의 미 이용 초지를 규모화한 공공목장의 형태로 하고 소유와 운영에 따라 1) 정부가 소유하고 운영하되 수입과 지출이 균형을 이루는 경영, 2) 정부가 소유하고 운영하되 수익을 창출하는 경영, 3) 정부가 소유하되 민간(외부 채용 전문경영자)이 운영하는 경영 및 4) 소유와 운영을 개인(민간)에게 모두 이양하여 경영하는 4개의 경영관리모델을 상정하였다. 이상에서 본 연구는 방목생태축산의 활성화를 위해, 4개의 경영관리모델을 제시하고 흑자수익 구조를 위한 경영자의 선발과 업무평가 방안을 제시하였다. 또한 방목생태축산 산지생태계 보전을 위한 관리 방안을 제시하고 있다. 특히 경영관리모델의 시스템관리 중 경영자의 선발 및 업무성과에 대한 평가는 우리나라 기업에서 사용하는 방법을 이용하여 방목생태축산의 특성에 맞도록 변형하여 시도했다는 면에서 의의가 크며 수익구조 개선에도 기여할 것으로 판단된다. 향후 연구에서는 경영자 선발채용과 업적평가에서 미래 환경에 따라 변화하는 축산 조건에 맞춰 평가관리 항목의 변경과 배점의 연구가 필요할 것으로 보인다.

• Industrial Engineering and Management Systems
• /
• 제13권1호
• /
• pp.29-42
• /
• 2014

Extensive research has been conducted on supplier evaluation and selection as a strategic and crucial component of supply chain management in recent years. However, few articles in the previous literature have been dedicated to the use of fuzzy inference systems as an aid in decision-making. Therefore, this essay attempts to demonstrate the application of this method in evaluating suppliers, based on a comprehensive framework of qualitative and quantitative factors besides the effect of gradual coverage distance. The purpose of this study is to investigate the applicability of the numerous measures and metrics in a multi-objective optimization problem of the supply chain network design with the aim of managing the allocation of orders by coordinating the production lines to satisfy customers' demand. This work presents a dynamic non-linear programming model that examines the important aspects of the strategic planning of the manufacturing in supply chain. The effectiveness of the configured network is illustrated using a sample, following which an exact method is used to solve this multi-objective problem and confirm the validity of the model, and finally the results will be discussed and analyzed.

• 한국철도학회:학술대회논문집
• /
• 한국철도학회 2005년도 추계학술대회 논문집
• /
• pp.488-493
• /
• 2005

Railload line design of the railroad construction project should be planed considering the variety of quantitative and qualitative factors, and needs to be selected the optimum altinative weighing from VE/LCC analysis of the planned design. The purpose of this research is for showing selecting plan of the optimum railload line and railway bridge applying VE/LCC analysis in selecting the optimum altinative of railroad construction based on quantitative and qualitative factors, such as initial construction cost, maintenance cost, owner and user's requirements. In this research showed the application plan by each stage using data analysis, function analysis, and alternative evaluation of VE/LCC analysis with AHP and LCC analysis program for the selection. This research is proved the rationality and application of the course of selecting the optimum alternative through case application

• 한국통신학회논문지
• /
• 제34권7A호
• /
• pp.523-529
• /
• 2009

This paper provides closed form expressions for the evaluation of the end-to-end outage probability, symbol error rate, bit error rate and average capacity of the partial-based Decode-and-Forward (DF) relay selection scheme with an arbitrary number of relays. In a comparison with the performance of systems that exploit Amplify-and-Forward (AF), it can be seen that the performance of our proposed protocol converges to that of partial-based AF relay selection in high SNR regime. We also perform Monte-Carlo simulations to validate the analysis.

• 반도체디스플레이기술학회지
• /
• 제23권1호
• /
• pp.7-11
• /
• 2024

In the era of the 4th Industrial Revolution, new technologies such as artificial intelligence, big data, cloud, Internet of Things, and blockchain are being developed and applied to new industries. Blockchain has the characteristics of decentralization, security, and transparency, so it can serve as a core technology for developing new growth industries. Blockchain is provided as BaaS (Blockchain as a Service), but it is not easy for users who are introducing or building blockchain to choose BaaS. In this study, we identify evaluation factors and develop a decision-making model using fuzzy theory and AHP for BaaS selection. Eventually we aim to help companies choose the best BaaS and develop and commercialize blockchain-based services by developing a new decision-making model for BaaS selection.