• 한국경영과학회:학술대회논문집
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• 한국경영과학회 2008년도 추계학술대회 및 정기총회
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• pp.8-23
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• 2008

The purpose of this study is to develop a Cross Impact System Alternatives Tree(CISAT) model necessary for selecting the interdependent R&D planning system alternatives. This model modifies System Alternatives Tree(SAT) model developed by Kwon et al.. The SAT model is composed of several functions necessary for the achievement of a final goal and several subsystems for satisfying each function. In case that the relationship of technology alternatives is interdependent, this model overlooked a relative importance derived from occurrence or nonoccurrence of the technology alternatives in the future time varience. However, a complex evaluation process within the ballot system is another disadvantage of the SAT. To solve such problems, the Cross Impact Analysis(CIA) model is applied in the SAT model so as to consider the cross impact among interdependent system alternatives.

• 산업경영시스템학회지
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• 제11권18호
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• pp.7-15
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• 1988

This study is concerned with selecting mutually dependent quality improvement alternatives with resource constraints. These qualify improvement alternatives art different fro the tradition at alternatives which are independent from each other. In other words, selection of any improvement alternative requires other related specific improvement. Also the overall product quality in a multi stage manufacturing process is characterized by a complex multiplication method rather than a simple addition method which dose not allow to solve a linear knapsack problem despite its popularity in the traditional study. This study suggests a non-linear integer programming model for selecting mutually dependent quality improvement alternatives in multi-stage manufacturing process. In order to apply the model to selecting alternatives. This study also suggests a heuristic mode1 based on a dynamic programming model which is more practical than the non-linear integer programming model. The logic of the heuristic model enables 1) to estimate improvement effectiveness values on all improvement alternatives specifically defined for this study. 2) to arrange the effectiveness values in a descending order, and 3) to select the best one among the alternatives based on their forward and backward linkage relationships. This process repeats to selects other best alternatives within the resource constraints. This process is presented in a Computer programming in Appendix A. Alsc a numerical example of model application is presented in Chapter 4.

• 산업공학
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• 제15권4호
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• pp.460-473
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• 2002

The objective of this paper is to design a Goal Alternatives Disposition System having three main subsystems for setting, evaluating and selecting goal alternatives. For setting of goal alternatives, System Alternatives Tree(SAT) structure will be developed, which has a computation algorithm for setting decision alternatives by the concept of System Priority Number(SPN). For evaluating and selecting of goal alternatives; First, Normative and Exploratory Priority Indices which consider technical performance to the goal, cost and feasibility are developed respectively. Second, Integrated Priority Index is built up to determine the total priority of the Goal Alternatives Disposition(GAD) system. For the design and verification of the GAD system, technological forecasting structure theory, systems engineering methodology will be used.

• 한국항해항만학회지
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• 제32권8호
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• pp.621-628
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• 2008

지속적인 컨테이너 물동량의 증가와 컨테이너선의 대형화에 따라서 항만간의 경쟁은 점점 치열해지고 있다. 주요 항만 하역장비 제조사들은 획기적인 생산성 향상을 제공할 수 있는 새로운 개념의 하역장비 개발에 많은 관심을 기울이고 있다. 본 연구에서는 항만의 대표적 하역장비인 컨테이너 크레인에 대해서 다양한 개발 대안들이 존재할 때, 최적의 개발 대안을 선정하는 절차를 제시한다. 절차는 두 단계로 구성되는데, 첫 번째 단계에서는 요구되는 필수요소들을 만족하지 못하는 대안을 제거하고 두 번째 단계에서는 전문가의 평가와 선형 할당법을 적용하여 최종적인 개발 대안을 선정한다. 마지막으로, 제시한 절차를 적용한 사례를 제시한다.

• 한국항해항만학회:학술대회논문집
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• 한국항해항만학회 2006년도 추계학술대회 논문집(제1권)
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• pp.339-344
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• 2006

지속적인 컨테이너 물동량의 증가와 컨테이너선의 대형화에 따라서 항만간의 경쟁은 점점 치열해지고 있다. 주요 항만 하역장비 제작 업체들은 획기적인 생산성 향상을 제공할 수 있는 새로운 개념의 하역장비 개발에 많은 관심을 기울이고 있다. 본 연구에서는 항만의 대표적 하역 장비인 컨테이너 크레인에 대해서 다양한 개발 대안들이 존재할 때, 최적의 개발 대안을 선정하는 2단계 절차를 제시한다. 절차는 두 단계로 구성되는데, 첫 번째 단계에서는 요구되는 필수사항들을 만족하지 못하는 대안을 제거하고 두 번째 단계에서는 AHP(Analytic Hierarchy Process)를 적용하여 최종적인 개발 대안을 선정한다. 마지막으로, 제시한 절차를 적용한 예제를 제시한다.

• 한국경영과학회:학술대회논문집
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• 한국경영과학회 2008년도 추계학술대회 및 정기총회
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• pp.440-443
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• 2008

In this research, we develop the model of selecting and setting technology modular alternatives. We compose the selecting process(CHP) after setting technology modular alternatives based on technical couple by Conjoint Analysis(CA). Through this process, we can have several advantages. (1) Increasing the accuracy of R&D project evaluation (2) Declining the load of pair-wise comparison

• 한국품질경영학회:학술대회논문집
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• 한국품질경영학회 2010년도 춘계학술대회
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• pp.386-389
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• 2010

In this research, we develop the model of selecting and setting technology modular alternatives. We compose the selecting process(CHP) after setting technology modular alternatives based on technical couple by Conjoint Analysis(CA). Through this process, we can have several advantages. (1) Increasing the accuracy of R&D project evaluation (2) Declining the load of pair-wise comparison.

• International Journal of Computer Science & Network Security
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• 제23권1호
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• pp.25-32
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• 2023

Decision-making refers to identifying the best alternative among a set of alternatives. When a set of criteria are involved, the decision-making is called multi-criteria decision-making (MCDM). In some cases, the involved criteria may be prioritized by the human decision-maker, which determines the importance degree for each criterion; hence, the decision-making becomes prioritized multi-criteria decision-making. The essence of prioritized MCDM is raking the different alternatives concerning the criteria and selecting best one(s) from the ranked list. This paper introduces a generic multi-level algorithm for ranking multiple alternatives in prioritized MCDM problems. The proposed algorithm is implemented by a decision support system for selecting the most critical short-road requests presented to the transportation ministry in the Kingdom of Saudi Arabia. The ranking results show that the proposed ranking algorithm achieves a good balance between the importance degrees determined by the human decision maker and the score value of the alternatives concerning the different criteria.

• Industrial Engineering and Management Systems
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• 제4권1호
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• pp.82-93
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• 2005

Facility layout problems (FLP) are usually treated as design problems. Lack of systematic and objective tools to compare design alternatives results in decision-making to be dominated by the experiences or preferences of designers or managers. To increase objectivity and effectiveness of decision-making in facility layout selections, a decision support model is necessary. We proposed a decision model, which regards the FLP as a multi-attribute decision making (MADM) problem. We identify sets of attributes crucial to layout selections, quantitative indices for attributes, and methods of ranking alternatives. For a requested facility layout design, many alternatives could be developed. The enormous alternatives, various attributes, and comparison of assigned qualitative values to each attribute, form a complicated decision problem. To treat facility layout selection problems as a MADM problem, we used the linear assignment method to rank before selecting those high ranks as candidates. We modelled the application of the Nemawashi process to simulate the group decision-making procedure and help efficiently achieve agreement. The electronics manufacturing service (EMS) industry has frequent and costly facility layout modifications. Our models are helpful to them. We use an electronics manufacturing service company to illustrate the decision-making process of our models.

• 산업경영시스템학회지
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• 제26권2호
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• pp.55-61
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• 2003

The purpose of this paper is to propose a method for selecting the preferred alternatives of Multiple- Attribute Decision-Making(MADM) problem using the Entropy measure. A decision-maker who wants to estimate exactly the weight to be applied to her/his MADM problem is usually confronted with the embarrassing situation where, although there exist a variety of weighting methods, it is hard to find a right procedure to choose a pertinent value To remedy this uncomfortable situation, the Entropy measure commonly used in information theory, Is proposed as a tool that can be used by decision-makers to more efficiently select the preferred alternatives. As a result, the method proposed in the paper can be significant in that relatively easy to understand by decision-makers.