• Proceedings of the Korean Radioactive Waste Society Conference
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• 2004.06a
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• pp.188-188
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• 2004

In the present study, a multicriteria decision-making (MCDM) problem of ranking of important radionuclide release scenarios in a low and intermediate radioactive waste repository is to treat on the basis of non-additive fuzzy measures and fuzzy integral theory. Ranking of important scenarios can lead to the provision of more effective safety measure in a design stage of the repository. The ranking is determined by a relative degree of appropriateness of scenario alternatives.(omitted)

• Journal of Korean Society of Industrial and Systems Engineering
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• v.19 no.37
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• pp.95-101
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• 1996

AHP is a competent methodology for multicriteria decision-making such as selection of technology in research laboratory, which requires the consideration of both quantitative and qualitative factors. This paper considers prioritization of technology alternatives using value functions for evaluating quantitative factors in AHP. Value functions are useful for the reducing questionars in this paper.

• Journal of the Korean Operations Research and Management Science Society
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• v.16 no.1
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• pp.97-112
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• 1991

This paper describes two contrasting approaches to group decision making involving multiple criteria. A compromise programming method and the analytic hierarchy process are analyzed and compared by using an illustrative example of a computer model selection problem to demonstrate their usefulness as a viable tool for group decision making. This paper further considers some extensions and modifications of there two methods for future study.

• Proceedings of the Korean Society for Quality Management Conference
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• 1998.11a
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• pp.680-695
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• 1998

The objective of this study is to optimize the responses of the creep feed ceramic grinding process simultaneously by an off-1ine multicriteria optimization methodology. The responses considered as objectives are material removal rate, flexural strength, normal grinding force, workpiece surface roughness and grinder power. Alumina material was ground by the creep feed grinding mode using superabrasive grinding wheels. The process variables optimized for the above objectives include grinding wheel specification, such as bond type, mesh size, and grit concentration, and grinding process parameters, such as depth of cut and feed rate. A weighting method transforms the multi-objective problem into a single-objective programming format and then, by parametric variation of weights, the set of non-dominated optimum solutions are obtained. Finally, the multi-objective optimization methodology was tested by a sensitivity analysis to check the stability of the model.

• Proceedings of the ESK Conference
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• 1998.04a
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• pp.93-98
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• 1998

Recently, consumers are tend to purchase the user-centered designed product using interface enginnering and human factors techniques. Therefore, it is important that the designer's requirements should be analyzed focused on the human machine interface. This paper described the interface usability evaluation technique(suvjective evaluation) for the interface between user and product. This methodology is the integrated interface usbility evaluation method AHP and Conjoint Analysis. AHP(Analytic Hierarchy Process) is a multicriteria decision model to give priority after expressing hierarchically for decision making problem. Conjoint Analysis enduavors to unravel the value, or partworths, that consumers place on the product or service's attributes from experimental subjects' evluation of profiles based on hypothetical products or services. A new usability test methodology proposed by this paper includes techniques jointed both consistency test by AHP and experimental subjective evaluation of profiles by Conjoint Analysis for evaluating the user's emotion and impression.

• Journal of Korean Institute of Industrial Engineers
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• v.14 no.1
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• pp.119-131
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• 1988

Vehicle Scheduling Problem (VSP) is a generic name given to a whole class of problems involving the visiting of "stations" by "vehicles," where a time is associated with each activity. The studies performed to date have the common feature of a single objective while satisfying a set of restrictions and known customer supplies or demands. However, VSPs may involve relevant multiple objectives and probabilistic supplies or demands at stations, creating multicriteria stochastic VSPs. This paper proposes a heuristic algorithm based on goal programming approach to schedule the most satisfactory vehicle routes of a bicriteria VSP with probabilistic supplies at stations. The two relevant objectives are the minimization of the expected travel distance of vehicles and the minimization of the due time violation for collection service at stations by vehicles. The algorithm developed consists of three major stages. In the first stage, an artificial capacity of vehicle is determined, on the basis of decision maker's subjective estimates. The second one clusters a set of stations into subsets by applying an efficient cluster method developed. In the third one, the stations in each subset are scheduled by applying an iterative goal programming heuristic procedure to each cluster.

• Management Science and Financial Engineering
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• v.7 no.2
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• pp.31-57
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• 2001

Regarding all methods of decision making as parts of the same subject, one is astounded to find that the field speaks to the practitioners about multicriteria decision making with a multi-forked tongue, different methods give different and conflicting outcomes even for very simple decisions. In this paper, five well-known decision theories are described and used to work out a simple decision to choose the best of three cars. The outcomes turn out not to be the same for all the methods, which is troubling because one would expect unique answers in decision making. Several "meta" criteria that are essential for making a decision theory to make a choice as to which decision approach is best.h is best.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 1989.10a
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• pp.77-85
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• 1989

The purpose of this research entails the study of the multicriteria graph-theoretic Facility Layout Problem(FLP), the development of a Decision Support System(DSS), and a sensitivity analysis for graph Theoretic heuristics. The graph theoretic FLP Decision Support System gives decision makers or planners more information as a guide in producing their final layouts. This information is provided by a variety of final result scores, so called upper bound values, based on different options and different criteria. The increased information provided will give decision makers more confidence in design a block plan. One case is presented to demonstrate the applicability of the system to real-world problem. Finally, applicabilities of the DSS to other format layouts, such as GT layout and JIT's U-line, are briefly mentioned.

• Proceedings of the Technology Innovation Conference
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• 2004.02a
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• pp.152-166
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• 2004

The importance of maritime sector in Korea has been increasingly recognized in recent days. As the country enters the $\ulcorner$new ocean era$\lrcorner$, the oceans are often regarded as holding the keys to solve the problems of modern industry associated with changing environment as well as changing societies and national politics. This paper attempts to address the national maritime R&D policies and their relative importances. In the methodology, Saaty's analytic hierarchy process model is used to evaluate and rank the selected maritime R&D projects which have a wide range of characteristics and policy implications. The criteria used for policy evaluation relates specifically to the Korea's evaluation needs and culture, and those criteria are weighted according to their relative importance as perceived by the maritime R&D specialists.

• Journal of the Korea Safety Management & Science
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• v.6 no.4
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• pp.107-122
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• 2004

This study aims to examine the usefulness on the Evaluation Process for the Feasibility & Priority of A Certain Public Projects. and the Methodology used AHP(Analytic Hierarchy Process) which used pairwise comparisons of the alternatives and criteria for solving discrete alternative multicriteria decision problems. In this paper, we present a similar phenomenon, rank reversal problem, when we apply the AHP to group decision making process. The problem is identified by an example problem in that the previous rank order of Public Projects choices. we also present three different methods to prevent the undesirable characteristic of the original AHP in appling to Decision Making Process.