• 한국정보시스템학회지:정보시스템연구
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• 제19권1호
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• pp.63-77
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• 2010

Strategic agility plays a critical role in sustaining competitive advantage in the turbulent environment. This study examines the relationship between a logistics information system and, strategic agility through the analysis of "H" corporation case. The results of case study showed that the introduction of logistic information system facilitates the degree of strategic sensitivity, collective commitments and resource fluidity, which are primary elements of strategic agility. This study gives an insight to the practitioners who attempt to create strategic agility through the implementation of logistic information systems.

• Spatial Information Research
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• 제4권2호
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• pp.159-179
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• 1996

본 논문에서는 교통부문 지리정보체계를 위한 데이터베이스 포맷을 작성하기 위하여 이용현황을 고찰하고 외국의 GIS-T구축사례를 고찰하여 필요정보의 항목과 구조를 파악한 후 이를 바탕으로 하여 유럽의 교통부문의 GIS데이타베이스 표준인 GDF의 형식을 기본으로 하여서 한국의 실정에 적합한 교통부문 GIS데이터베이스 표준포맷을 제안하였다. 표준적인 GIS데이터베이스의 포맷의 구축에 따르는 기대효과는 첫번째 데이터베이스를 공유함으로써 각 기관과 업계에서 반복적으로 수행하였던 기본 데이터베이스 구축작업에 필요한 비용을 절감할 수 있고 두번째로 한 과업의 결과물이 다른 과업의 데이터로 활용됨으로써 교통부문의 과업들의 질적 향상을 꾀할 수 있으며 세번째로 GIS를 이용한 새로운 응용부분들을 개발함으로써 과거에는 너무나 방대한 자료의 양때문에 불가능했던 분석들을 수행할 수 있다.

• 경영과정보연구
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• 제23권
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• pp.99-134
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• 2007

In recent years there has been much emphasis on the need for service firms to develop an organizational culture which facilitates the successful implementation of marketing activities. This study examines the relationship among marketing culture, service quality, customer satisfaction, and customer loyalty in fast food service firms. The results of empirical analysis can be summarized by the following: First, marketing culture(employee service quality, interpersonal relationships, selling task, organization, internal communications, innovativeness) had a significant direct effect on service quality. Second, marketing culture(employee service quality, selling task, internal communications) had a significant direct effect on customer satisfaction. It had also a positive, significant indirect effect on customer satisfaction through service quality. Third, service quality had a significant indirect effect on customer loyalty through customer satisfaction. Therefore, the results of the study provide the practical implication for establishment of service firms' marketing strategies, related to marketing culture.

• 한국정밀공학회지
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• 제16권4호통권97호
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• pp.85-94
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• 1999

Reconfiguration, expansion, or new establishment of FMS requires the availability of a shop floor control (SFC) system relevant to the FMS since it is closely related with the hardware component of FMS. Due to the expensive cost of its development, significant research efforts have been made to develop an SFC system that is reusable. This paper presents Abstract Machine Tool (AMT) approach applied to develop an SFC sytem that is reusable without additional programming. The AMT model enables us to design the SFC system independently of the hardware-dependent attributes of euqipment; an AMT models a workstation by abstraction and presents an equipment-independent interface to machining cell controller. Specifically, we describe how we formalize the interfaces among equipment in order to build an AMT and how we design the machining cell control software based on AMT models. We also present MACHINIST the machining cell control system for IAE-FMS plant as an implementation example.

• International journal of advanced smart convergence
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• 제12권4호
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• pp.55-62
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• 2023

Slotted-Aloha (S-Aloha) has been widely employed in random access networks owing to its simple implementation in a distributed manner. To enhance the throughput performance of the S-Aloha, connection-based slotted-Aloha (CS-Aloha) has been proposed in recent years. The fundamental principle of the CS-Aloha is to establish a connection with a short-sized request packet before transmitting data packets. Subsequently, the connected node transmits long-sized data packets in a batch of size M. This approach efficiently reduces collisions, resulting in improved throughput compared to the S-Aloha, particularly for a large M. In this paper, we address the short-term fairness of the CS-Aloha, as quantified by Jain's fairness index. Specifically, we evaluate how equitably the CS-Aloha allocatestime slots to all nodes in the network within a finite time interval. Through simulation studies, we identify the impact of system parameters on the short-term fairness of the CS-Aloha and propose an optimal transmission probability to support short-term fairness.

• 한국정보시스템학회지:정보시스템연구
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• 제31권3호
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• pp.177-195
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• 2022

Purpose This paper aims to prepare a full operational readiness by establishing an optimal flight plan considering the weather conditions in order to effectively perform the mission and operation of military aircraft. This paper suggests a flight prediction model and rules by analyzing the correlation between flight implementation and cancellation according to weather conditions by using big data collected from historical flight information of military aircraft supplied by Korean manufacturers and meteorological information from the Korea Meteorological Administration. In addition, by deriving flight rules according to weather information, it was possible to discover an efficient flight schedule establishment method in consideration of weather information. Design/methodology/approach This study is an analytic study using data mining techniques based on flight historical data of 44,558 flights of military aircraft accumulated by the Republic of Korea Air Force for a total of 36 months from January 2013 to December 2015 and meteorological information provided by the Korea Meteorological Administration. Four steps were taken to develop optimal flight prediction models and to derive rules for flight implementation and cancellation. First, a total of 10 independent variables and one dependent variable were used to develop the optimal model for flight implementation according to weather condition. Second, optimal flight prediction models were derived using algorithms such as logistics regression, Adaboost, KNN, Random forest and LightGBM, which are data mining techniques. Third, we collected the opinions of military aircraft pilots who have more than 25 years experience and evaluated importance level about independent variables using Python heatmap to develop flight implementation and cancellation rules according to weather conditions. Finally, the decision tree model was constructed, and the flight rules were derived to see how the weather conditions at each airport affect the implementation and cancellation of the flight. Findings Based on historical flight information of military aircraft and weather information of flight zone. We developed flight prediction model using data mining techniques. As a result of optimal flight prediction model development for each airbase, it was confirmed that the LightGBM algorithm had the best prediction rate in terms of recall rate. Each flight rules were checked according to the weather condition, and it was confirmed that precipitation, humidity, and the total cloud had a significant effect on flight cancellation. Whereas, the effect of visibility was found to be relatively insignificant. When a flight schedule was established, the rules will provide some insight to decide flight training more systematically and effectively.

• International Journal of Computer Science & Network Security
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• 제22권6호
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• pp.25-32
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• 2022

The hypothesis of the study of the article is that the use of elements of artificial intelligence will increase the effectiveness of the educational process of the university if: a set of pedagogical conditions for the construction and use of an expert system with elements of artificial intelligence in the educational process of the university is revealed; a model for preparing a future teacher of vocational training for the use of elements of artificial intelligence has been developed; a special course has been developed that contributes to the implementation of the professional orientation of education. In accordance with this, the following tasks were studied in the article: An analysis of scientific and methodological research in the field of the current state, prospects for the development and use of elements of artificial intelligence in the preparation of a future teacher of vocational training and to determine the dynamics of the introduction of intelligent expert systems in education; A set of pedagogical conditions for the construction and use of an expert system with elements of artificial intelligence in the educational process of a university is revealed; It is substantiated to develop a model for preparing a teacher of vocational training to use elements of artificial intelligence.

• 한국정밀공학회지
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• 제19권8호
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• pp.77-83
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• 2002

This research aimed at from the establishment of theory on micro electrochemical machining mechanism to the implementation of a practical fabrication system of micro parts. In detail, the mechanism of micro-ECM was investigated with potentiodynamic method and the optimal condition for micro-ECM was selected by voltage-current-time curve with potentiostatic method. From the experimental result, the micro part which has extremely fine surface could be fabricated by use of micro-ECM with point electrode method.

• 한국국방경영분석학회지
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• 제32권1호
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• pp.176-187
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• 2006

탄도미사일은 비행속도가 매우 빠르고 불안정한 하강운동에 기인하는 나선형과 같은 고유의 특이한 비행운동으로 인해 정확한 비행궤적의 추정이 어렵다. 이 논문은 탄도미사일의 비행궤적 특성에 대한 종합적인 해석을 기술한다. 최대사거리를 포함 다양한 미사일 비행사거리에 따른 비행궤적특성이 해석적 방법에 의해 도출되었다. 최대사거리를 줄여 발사했을 때 비행특성에 따른 위협이 급격히 증가됨을 해석적으로 나타냈다. 이 연구는 하층미사일방어체계 구축의 운용개념 설정에 대한 기반연구이다.

• 한국시스템다이내믹스연구
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• 제9권1호
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• pp.33-56
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• 2008

With emphasis on the importance of systems thinking for the establishment of learning organization, Senge in his famous book "The Fifth Discipline", explains in depth four disciplines such as personal mastery, mental models, shared vision, team learning, which are all geared up to the implementation of learning organization. However, two critical pitfalls are found: First, a holistic picture is absent in his presentation of learning organization, which just seems like a puzzle with linking pieces missing between disciplines. Secondly, as is often the case too much details are discussed in expense of insights on each discipline. This paper thus attempts to draw core metaphysical insights underlying Senge's learning organization disciplines by reinterpreting them from oriental perspectives; and to identify mechanisms depicting how they are working together as a whole, which is enabled by exploiting causal loop diagrams as a tool of systems thinking. In addition some thoughts on the implications of systems thinking on each of the learning organization disciplines.