• Title/Summary/Keyword: Support Decision Making

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A Framework for Quality Management Support Information Systems (품질경영지원 정보시스템 구축을 위한 틀)

  • Suh, Yung-Ho;Kang, Hyeon-Seok
    • Journal of Korean Society for Quality Management
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    • v.28 no.2
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    • pp.89-102
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    • 2000
  • Many organizations have developed their own traditional quality information systems. But, they think of it as one of the functional information systems not as a company-wide decision support information systems. A study on traditional quality information systems(QIS) has been conducted and a new conceptual framework of quality information system is proposed in this paper. In order to support enterprise wide total quality management aggressively, a new conceptual framework, named quality management support information system(QMSIS) is developed and proposed. This framework is based upon Malcolm Baldrige National Quality Award(MBNQA) model integrates management information system approach and traditional quality information system concept. In this model, organizational performance and process performance can be monitored to support managers , decision making about organizational quality management activities.

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A Study on Decision Support System for Change Detection

  • Kim Sun Soo;Yu Kiyun;Kim Yang Il
    • Proceedings of the KSRS Conference
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    • 2004.10a
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    • pp.64-67
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    • 2004
  • Change detection using aerial and satellite images is one of the important research topics in photogrammetry and image interpretation. It is of particular importance especially in the fields of military, political and administrative affairs. When there is a need to detect changes in multi-temporal images, the most efficient methods for change detection and thresholds of change/no change area need to be chosen. Also, the images obtained from the various methods need to be analyzed. To do so, we need a system that can support our decision making process. Therefore, in this paper, we propose the Decision Support System for Change Detection. This system is composed of Data Base, Model Base and Graphic User Interface(GUI). Data base is a compilation of previous change detection results, and Model Base comprise of numerous operations. The data can be input and have the results of change detection analyzed by using GUI. In this paper, we will explain the entire operation of the system and demonstrate the level of its effectiveness.

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Optimization of Air Quality Monitoring Networks in Busan Using a GIS-based Decision Support System (GIS기반 의사결정지원시스템을 이용한 부산 대기질 측정망의 최적화)

  • Yoo, Eun-Chul;Park, Ok-Hyun
    • Journal of Korean Society for Atmospheric Environment
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    • v.23 no.5
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    • pp.526-538
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    • 2007
  • Since air quality monitoring data sets are important base for developing of air quality management strategies including policy making and policy performance assessment, the environmental protection authorities need to organize and operate monitoring network properly. Air quality monitoring network of Busan, consisting of 18 stations, was allocated under unscientific and irrational principles. Thus the current state of air quality monitoring networks was reassessed the effect and appropriateness of monitoring objectives such as population protection and sources surveillance. In the process of the reassessment, a GIS-based decision support system was constructed and used to simulate air quality over complex terrain and to conduct optimization analysis for air quality monitoring network with multi-objective. The maximization of protection capability for population appears to be the most effective and principal objective among various objectives. The relocation of current monitoring stations through optimization analysis of multi-objective appears to be better than the network building for maximization of population protection capability. The decision support system developed in this study on the basis of GIS-based database appear to be useful for the environmental protection authorities to plan and manage air quality monitoring network over complex terrain.

Usability Testing of a Prototype Personal Digital Assistant (PDA)-based Decision Support System for the Management of Obesity

  • Lee, Nam-Ju;Bakken, Suzanne
    • Perspectives in Nursing Science
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    • v.5 no.1
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    • pp.17-31
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    • 2008
  • Purpose: The purpose of this study was to evaluate the usability of a prototype personal digital assistant (PDA)-based decision support system for the management of obesity through usability testing with end-users (Advanced Practice Nurses [APNs]) prior to its implementation in clinical settings. Methods: This descriptive study used observational and think aloud techniques to address the research question: what usability problems are perceived by end-users? Five APNs were provided with the scenarios and the list of tasks to evaluate the application. Their verbalizations were recorded through Morae usabil ity software. Data analysis was based on the data captured through Morae, transcriptions, notes, and the end-user survey. Results: End-users completed all the required tasks without encountering a severe usability problem, and agreed that the system was easy to use. clear, concise, and useful. Usability issues that were unrecognized by the developer or usability experts were identified by APNs. The usability problems were categorized according to positive characteristics, negative characteristics, and recommendations. The usability issues were discussed with the project team members, and solutions were suggested to improve the user interface of the PDA-based decision support system before the final implementation. Conclusions: This approach had an important impact on making the system easier to use and more useful from the perspective of design and content. The results of this evaluation provided iterative feedback regarding the design and implementation of the PDA-based decision support system for the management of obesity.

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A Decision Support System for an Optimal Transportation Network Planning in the Third Party Logistics

  • Park, Yong-Sung;Choi, Hyung-Rim;Kim, Hyun-Soo;Park, Nam-Kyu;Cho, Jae-Hyung;Gang, Moo-Hong
    • Proceedings of the Korean Institute of Navigation and Port Research Conference
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    • 2006.10a
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    • pp.240-257
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    • 2006
  • In an effort to gain competitiveness, recently many companies are trying to outsource their logistics activities to the logistics specialists, while concentrating on their core and strategic business area. Because of this trend, the third party logistics comes to the fore, catching people's attention, and expanding its market rapidly. Under these circumstances, the third party logistics companies are making every effort to improve their logistics services and to develop an information system in order to enhance their competitiveness. In particular, among these efforts one of the critical parts is the decision support system for effective transportation network planning. To this end, this study has developed an efficient decision support system for an optimal transportation network planning by comprehensively considering the transportation mode, routing, assignment, and schedule. As a result of this study, the new system enables the expansion of the third party logistics companies' services including the multimodal transportation, not to mention one mode of transportation, and also gets them ready to plan an international transportation network.

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Intelligent Army Tactical Command Information System based on National Defense Ontology (국방온톨로지 기반의 지능형 육군전술지휘정보체계)

  • Yoo, Donghee;Ra, Minyoung;Han, Changhee;Shin, Jinhee;No, Sungchun
    • Journal of the Korea Society of Computer and Information
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    • v.18 no.3
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    • pp.79-89
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    • 2013
  • ATCIS (Army Tactical Command Information System) provides commanders and staff officers the battlefield information that is reported by tactical echelons under an army corps and the commanders make decisions based on the information by using their experience and specialty in military domain. If ATICS can automatically understand the reported information from rapidly changing battlefield and provide new knowledge that can support decision making, the commanders would be able to make faster and more accurate decision. In this paper, therefore, we propose an intelligent ATCIS using a national defense ontology. To this end, we built the national defense ontology by analyzing the electronic field manuals and ATCIS database, and then we defined military knowledge for decision making as a form of rule by interviewing several staff officers from different fields. In order to show how to apply the ontology and rules to decision making support for the commanders, we implemented a decision support service to estimate the possibility of enemy's provocation by using semantic web technologies.

An Interactive Decision Support System for Truck Dispatching (배차계획을 위한 대화형 의사결정지원시스템)

  • Park, Yang-Byung;Hong, Sung-Chul
    • Korean Management Science Review
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    • v.15 no.2
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    • pp.201-210
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    • 1998
  • Truck dispatching is one of the most commonly occurring problems of transprot management. We developed an interactive decision support system named IDSSTD, for the truck dispatching problem where two conflicting objectives are treated and travel speed varies depending on the passing areas and time of day. The IDSSTD aids the decision-making process by allowing the user to interact directly with the database, to direct data to a decision model, and to portray results in a convenient form. The IDSSTD is consisted of two major interactive phases. The pre-scheduling interactive phase is to reduce the complexity of a given problem before applying the BC-saving heuristic algorithm and the post-scheduling interactive phase is to improve practically the algorithmic solution. The IDSSTD has the capabilities of its own manipulation(analysis and recommendation) and diverse graphic features in order to facilitate a user's interaction.

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A Representation and Management of Models for WWW-based Decision Support Systems Development (WWW 기반의 의사결정지원시스템 구축을 위한 모형 표현 및 관리)

  • Kwon, O-Byung
    • Asia pacific journal of information systems
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    • v.7 no.2
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    • pp.35-49
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    • 1997
  • The usability of the Internet including WWW (World Wide Web) is dramatically growing in current business environment. These allow decision makers to enhance the productivity of decision making by referring valuable information in the remote sites, This paper presents the possibilities how WWW can be applied to build distributed and collaborative DSS, especially model management subsystem. A framework of Internet-based DSS is delineated, and then an idea of representing and managing models in the Internet-based DSS is suggested.

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