• Journal of the Korea Institute of Military Science and Technology
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• v.20 no.4
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• pp.551-557
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• 2017

Commanders want to receive quickly scientific and analytic results about the battlefield situation. Unfortunately, decision support system of Army Tactical Command Information System(ATCIS) is restricted to message procedures and searching function based on manual work. In this paper, we propose applying Data Mining to ATCIS for supporting rapid decision making based on the scientific and analytic method. The purpose of this proposal is to efficiently execute the tactical planning and employment of the subordinate units in order to achieve the mission.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2001.10a
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• pp.101-105
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• 2001

This paper is to illustrate the possibility to use organizational knowledge and data warehouse simultaenously for a decision maker. Organizational knowledge is produced for qualitative decision-making process and data warehouse is used for quantitative decision-making process. However, two things are currently implemented separately in many organizations although being needed for decision makers. This research shows a model for building integrated system and a prototyping system based on the model. And its effectiveness is discussed.

• Architectural research
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• v.12 no.2
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• pp.85-92
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• 2010

In recent years, construction projects have been forced to cope with lack of skilled labor and increasing hazard circumstance of human operations. A construction robotic system has been frequently accomplished as one alterative for overcoming these difficulties in increasing construction quality, enhancing productivity, and improving safety. However, while the complexity of such a system increases, there are few ways to carry out an assessment of the system. This paper introduces a knowledge-based multi-criteria decision-making process to assist decision makers in systematically evaluating an automated system for a given project and quantifying its system performance index. The model employs linguistic terms and fuzzy numbers in attempts to deal with the vagueness inherent in experts' or decision makers' subjective opinions, considering the contribution resulted from their knowledge on a decision problem. As an illustrative case, the system, called Robotic-based Construction Automation, for constructing steel erection of high-rise buildings was applied into this model. The results show the model's capacities and imply the application to other extended types of construction robotic systems.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2003.11a
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• pp.148-151
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• 2003

Recently school food service operations are confronted with the wide spread pressures for accountability and the need to increase productivity. This paper is concerned with the make-or-buy decision framework for school food service systems considering the multi-attributes in the decision making. For the purpose of considering the multi-attributes analysis method in decision making for the school foodservice, we developed a make-or-buy decision framework using the multi-attribute analysis method, analytic hierarchy process, AHP method for school food service system. Finally, we developed a systematic and practical solution builder for a three-step decision support system in the view of 1) brainstorming for the idea generation, 2) analytic hierarchy process, AHP as a multi-attribute structure ed analysis method, and 3) aggregation logic model to integrate the results of reviewers. We developed web based program and applied it to a school foodservice problem.

• Journal of Families and Better Life
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• v.4 no.2
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• pp.9-24
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• 1986

This study aims at providing the data in order to understand home management and to mange home efficiently through attempting systems approach to home management focused on purchase decision making and marital role structure. For the purpose of this study, regarding housing purchase decision making process as a system, environmental characteristics as inputs, marital role structure and the satisfaction of purchase management as outputs, relation between inputs and outputs; the understanding about these components was established as research problem. And then the framework of analysis being based on theoretical references was suggested, and questionnaires were administrated to housewives. The result of this study is as follows: 1) Marital role structure was differently shown according to the phases of decision making process. 2) Marital role structure was differently shown according to the level of environmental characteristics. 3) The statisfaction of purchase manag ment was influenced by environmental characteristics. According to these results, home management can be understood in the view of system. That is, the morphostatic characteristics of family system can be grasped in environmental supra system in conideration of the structure of managerial sub system; the morphogenic characteristics of family system can be grasped centering on the relationship to environment.

• Journal of Distribution Science
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• v.11 no.6
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• pp.21-30
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• 2013

Purpose - This paper examines product design management, the current design focus of which has shifted to the need to produce innovation applications that can effectively respond to the market's consumption changes in a timely manner. Research design, data, methodology - This study discusses several methodologies that are widely used in experimental processes, such as fuzzy theory, multi-criteria decision-making theory, and managing decision making. The designers will better understand their customers by applying these methodologies. This study examines how the current trend in product innovation design observes customer needs, controls innovation, and stimulates design ability. Results - This paper takes innovative telephone design as an experimental case to investigate how to create a product using market-oriented and customized management concepts and creative design abilities. Conclusions - If accompanied by an innovative product value chain, a product can further the development of enterprise management, now the main element of every developed country's social and economic development.

• Proceedings of the IEEK Conference
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• 2002.07b
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• pp.838-840
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• 2002

Presently, Analytic Network Process which evaluates man's intention and offers decision-making support is capturing the spotlight. It originates in the ability of Analytic Network Process to treat various decision-making support system. However, no detailed reference is available when dealing with the group case. This paper examines the technique, which can also cope with the group decision-making support system, and describes the validity of the technique. A characteristic feature of the proposed technique is that it can detect a group's intention in a given section, and it decomposes the sectional supermatrix into a small supermatrix and a large one. A general supermatrix treats the convergence value by taking the limiting process method of the power of an evaluation value. On the other hand, when a supermatrix has nonnegative value, it can easily be solved by the eigenvector method. The decomposition of the supermatrix has been considered in this work.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2022.11a
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• pp.357-359
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• 2022

Autonomous decision-making is key to safe and efficient marine autonomy, as global marine industry comprises over 90 percent of the world's cargo transportation. Challenges of the real-world validation in the aquatic domain limits the wide-spread of ASVs despite their promising societal impacts. We propose and demonstrate the real-world validation platform and comprehensive algorithm steps. Such a framework will serve as a more explainable and reliable decision-making system of ASVs as well as autonomous vehicles in other domains.

• Journal of Communications and Networks
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• v.11 no.4
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• pp.350-358
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• 2009

In a wireless sensor network (WSN) setting, this paper presents a distributed decision-making framework and illustrates its application in an online structural health monitoring (SHM) system. The objective is to recover a damage severity vector, which identifies, localizes, and quantifies damages in a structure, via distributive and collaborative decision-making among wireless sensors. Observing the fact that damages are generally scarce in a structure, this paper develops a nonlinear 0-norm minimization formulation to recover the sparse damage severity vector, then relaxes it to a linear and distributively tractable one. An optimal algorithm based on the alternating direction method of multipliers (ADMM) and a heuristic distributed linear programming (DLP) algorithm are proposed to estimate the damage severity vector distributively. By limiting sensors to exchange information among neighboring sensors, the distributed decision-making algorithms reduce communication costs, thus alleviate the channel interference and prolong the network lifetime. Simulation results in monitoring a steel frame structure prove the effectiveness of the proposed algorithms.

• International conference on construction engineering and project management
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• 2005.10a
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• pp.962-967
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• 2005

Construction management requires decision-making skills. Main approaches to training construction management students are: (1) analyzing sample situations involving decision-making; and (2) teaching logical decision-making procedures. The absence of 'pressure' factors in these approaches has significant impacts on the success of the training. The approaches also lack 'dynamic' effects that help create a spontaneous plan for construction projects where unforeseen changes and interruptions may occur. To minimize the adverse effects of the existing approaches, this paper proposes a framework for developing a web-based training system. The application is delivered as a game involving decision-making on the student's part in response to developments at the job-site, and where one student competes against another in an attempt to simulate a real-world scenario.