• 경영과학
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• 제16권1호
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• pp.51-61
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• 1999

Pipeline is an important transportation mode for ail products. The popeline transportation and storage rates affect the popeline usage, and the popeline usage also affects the transportation revenue and operating costs of the popeline. The purpose of our study is to develop a decision support system simulating popeline transportation and storage rates for maximizing the utilization and profitability of the oil pipeline and apply it to the real situation. To do this, a simulation model to help the decision maker decide the rates of the oil pipeline is first proposed. Second, a simulation program is developed, which enables the user to evaluate the various scenarios of oil transportation and storage rates. Finally, this program is applied to the case study of oil industry in korea.

• 한국경영과학회지
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• 제23권3호
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• pp.63-73
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• 1998

The paper deals with interactive multiple criteria decision making procedure when decision maker (DM) specifies her or his preference in incomplete ways. Usually DM is willing or able to provide only incomplete information, because of time pressure and lack of knowledge or data. Under incomplete information on utility and attribute weight, the pairwise dominance checks result in strict or weak dominance values. Considering only strict dominance values sometimes fails to Prioritize alternatives because of fuzziness of preference information. Further there exists some information loss useful if used, otherwise. In this paper, we consider the outranking concept which implies the willingness of DM's taking some risk under the least favorable situation because she has enough reasons to admit the results. By comparing the magnitude of net preference degree of alternatives which is defined by difference between outrankings and outranked degree of each alternative, we can prioritize alternatives.

• 대한안전경영과학회지
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• 제14권3호
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• pp.151-158
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• 2012

The objective of this paper is to propose a method of how to perform risk assessment in the early stage of defense research and development for the acquisition of weapon systems. An advanced method for risk assessment and its associated objective functions are developed first based on the concept of systems engineering. The developed method is then applied to carry out the analysis of alternatives in the trade-off environments. As a case study, the multi-purpose training ship is considered, where it is performed using the notions of technology readiness levels, degrees of difficulty, and technology need values to facilitate design space visualization and decision maker interaction. It is noted that decision makers can benefit from our approach as an improved risk assessment method in the context of multi-criteria decision making.

• 한국정보시스템학회:학술대회논문집
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• 한국정보시스템학회 2005년도 추계학술대회 발표 논문집
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• pp.326-333
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• 2005

The purpose of this paper is to provide a decision support method to a rational buyer, who wants to pay the least price for the product with the highest quality and service. We suggest a minimum efficiency game model and DEA game model to valuate many vendors whose qualifies of outputs are measured by percentage. Our results gave a decision maker (buyer) the upper bound and lower bound of the true efficiency score of a decision making unit (vendor) with respect to the benchmark (target) set by the buyer. As a result, a buyer can choose the best vendor in terms of his/her preference.

• 대한산업공학회지
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• 제24권4호
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• pp.493-502
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• 1998

The purpose of this paper is to propose an interactive method, which is designed to select the optimal preferred alternatives for the MNDM(Multi-N type Decision- Making) problems with the-Nominal-the-best characteristics. The basic idea of the paper is essentially to eliminate inefficient alternatives based on the concept of the lass function and the cutting range instead of using the utility/value function on the group of attributes that can be considered as important by the decision-maker. As a result, the method proposed in the paper for MNDM problems can be significant in that the change of characteristics is transformed into the size of loss, which can be relatively easy to understand by decision-makers.

• 대한산업공학회지
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• 제22권4호
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• pp.633-649
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• 1996

An interactive multicriteria method, which is called the Modified Pairwise Comparison Stochastic Cutting Plane (MPCSCP) method, is proposed for determining the best levels of the integer decision variables needed to optimize a stochastic computer simulation with multiple response functions. MPCSCP combines good features from interactive tradeoff cutting plane methods and response surface methodologies. The proposed method uses a simple pairwise man-machine interaction and searches an integer space uniformly by using the experimental design which evaluates the decision space centering around an integer center point. The characteristics of the proposed method are investigated through an extensive computational study. The parameter configurations examined in the study are (1) variability of the sampling errors, (2) the size of experimental design, (3) the relaxation of cutting planes, and (4) the levels of decision maker's inconsistency.

• 농촌계획
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• 제4권2호
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• pp.117-127
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• 1998

In this study, a model was developed to analyze the capacity and the total price of the agricultural products marketing between nations through the estimation of the production and consumption amount of the agricultural products in each nation and the analysis of the price and transport cost to each nation. The method which can contribute to the agricultural policy decision support was devised. The main concept of the method is to compute the potential import-export amount and total cost among the nations. In the application, wheat was selected to evaluate the model. The application results showed that the model could analyzed the unit consumption and storage amount per capital of each nation and the price and transport cost per unit weight from each export nation, provided the policy decision maker with the basic data analyzed by GIS.

• 한국국방경영분석학회지
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• 제26권1호
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• pp.100-114
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• 2000

This paper demonstrates the application of a Quality Function Deployment (QFD) and Zero-One Goal Programming model for selecting interdependent information system project selection, there are a few research for interdependent IS project selection. Effective project evaluation necessities incorporating the many conflicting objectives of decision maker(s) into decision models. Among the many proposed methodologies of multi-criteria decision making (MCDM), Goal Programming (GP) is the most popular and widely used. The model departs from an earlier GP formulation of the problem that suggested QFD method for selection of priorities among the considered attributes or criteria. The application of the proposed methodology illustrated through an example.

• Journal of applied mathematics & informatics
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• 제41권5호
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• pp.973-988
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• 2023

In real-life scenarios, we may have to deal with real numbers or numbers in intervals or a combination of both to solve multi-criteria decision-making (MCDM) problems. Also, we may come across a situation where we must combine this interval and actual number membership values into a single real number. The most significant factor in combining these membership values into a single value is by using aggregation operators or scoring algorithms. To overcome such a situation, we suggest the cubic hypersoft set (CHSS) concept as a workaround. Ultimately, this makes it simple for the decision-maker to obtain information without misconceptions. The primary aim of this study is to establish some operational laws for the cubic hypersoft set, present the fundamental properties of aggregation operators and propose an algorithm by using the technique of order of preference by similarity to the ideal solution (TOPSIS) technique based on correlation coefficients to analyze the stress-coping skills of workers.

• 한국산학기술학회논문지
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• 제11권8호
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• pp.2809-2817
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• 2010

본 최근 철도 산업이 국가 중심 산업으로 부상하면서 이 분야의 학문적 관심이 높아지고 있다. 특히, 철도 산업의 규모가 커짐에 따라 승객과 화물의 안전한 수송이 강조되고 있으며 이를 위해 철도 차량의 정기적인 검수 및 청소를 담당하는 차량기지의 건설이 증가하고 있다. 하지만 철도 차량기지 건설은 막대한 투자비용과 시간이 소요되며 효율적인 설계 및 시공을 위해 고려해야 할 조건이 많다. 따라서 본 논문에서는 복수의 차량기지 설계 대안들 중 가장 효율적인 설계안을 찾기 위해 시뮬레이션을 사용하여 분석하였다. 시뮬레이션 분석은 시설의 목적을 최대한 반영 할 수 있는 종속 변수를 선정 후 Warm-up 분석을 하였고, 분석 이후 안정화 상태의 종속 변수 평가치를 대안 별로 추출하였다. 그리고 시뮬레이션 실험에 의해 얻어진 각 종속 변수의 평가치는 다 속성 의사 결정 방법을 통해 대안 선정에 사용 되는데, 기존의 다 속성 의사 결정 방법은 절차적으로 복잡하거나 의사 결정자의 주관적인 능력에 기대는 단점을 가진다. 그러나 엔트로피 척도를 활용한 대안 선정은 의사 결정자에게 신속하고 객관적인 방법으로 대안 선정을 할 수 있게끔 도와준다. 따라서 본 연구에서는 철도 차량기지 설계의 신속한 최적 설계안 도출을 위해 엔트로피 척도를 이용하였으며 이는 차량기지 설계 프로젝트처럼 신속하고 객관적인 의사결정이 필요한 상황에서 매우 유용함을 보여주었다.