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한계섭 한국정보시스템학회 1996 情報시스템硏究 Vol.5 No.1
Linear programming has become an important tool in decision-making of modern business management. This remarkable growth can be traced to the pioneering efforts of many individuals and research organizations. The popular using of personal computers make it very easy to process those complicated linear programming models. Furthermore advanced linear programming software packages assist us to solve L.P. models without any difficult process. Even though the advanced L.P. professional packages, the needs of more detailed deterministic elements for business decisions have forced us to apply dynamic approaches for more reasonable solutions. For the purpose of these problems applying to the "Mathematica" packages which is composed of mathematic tools, the simplex processes show us the flexible and dynamic decision elements included to any other professional linear programming tools. Especially we need proper dynamic variables to analyze the shadow prices step by step. And applying SAS(Statistical Analysis System) packages to the L.P. problems, it is also one of the best way to get good solution. On the way trying to the other L.P. packages which are prepared for Spreadsheets i.e., MS-Excel, Lotus-123, Quatro etc. can be applied to linear programming models. But they are not so much useful for the problems. Calculating simplex tableau is an important method to interpret L.P. format for the optimal solution. In this paper we find out that the more detailed and efficient techniques to interpret useful software of mathematica and SAS for business decision making of linear programming. So it needs to apply more dynamic technique of using of Mathematica and SAS multiple software to get more efficient deterministic factors for the sophiscated L.P. solutions.
한계섭 동아대학교 정보기술연구소 2003 情報技術硏究所論文誌 Vol.11 No.1
A cause the rapid evolution of wireless and mobile technologies, most of younger students want to contact various media through their university information systems by using their mobile devices everyday. But most of university can hardly sufficient their student's requirements. In this study tried to give them some good solutions by constructing a new effective university mobile information system method. It is not enough only this suggesting system. If those studied elements on University wireless mobile systems are applied to its practical fields, they will be very helpful to satisfy for all students and all the members of the universities. The output of processed data and figures of networks can be explained those models which are some sufficient solutions for all the people of universities. I hope this wireless mobile systems could be adopted to University for managing more effectively its all resources and satisfying all university members.