• 산업경영시스템학회지
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• 제38권3호
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• pp.100-107
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• 2015

Recently as the manufacturers want competitiveness in dynamically changing environment, they are trying a lot of efforts to be efficient with their production systems, which may be achieved by diminishing unplanned operation stops. The operation stops and maintenance cost are known to be significantly decreased by adopting proper maintenance strategy. Therefore, the manufacturers were more getting interested in scheduling of exact maintenance scheduling to keep smooth operation and prevent unexpected stops. In this paper, we proposedan integrated maintenance approach in injection molding manufacturing line. It consists of predictive and preventive maintenance approach. The predictive maintenance uses the statistical process control technique with the real-time data and the preventive maintenance is based on the checking period of machine components or equipment. For the predictive maintenance approach, firstly, we identified components or equipment that are required maintenance, and then machine parameters that are related with the identified components or equipment. Second, we performed regression analysis to select the machine parameters that affect the quality of the manufactured products and are significant to the quality of the products. By this analysis, we can exclude the insignificant parameters from monitoring parameters and focus on the significant parameters. Third, we developed the statistical prediction models for the selected machine parameters. Current models include regression, exponential smoothing and so on. We used these models to decide abnormal patternand to schedule maintenance. Finally, for other components or equipment which is not covered by predictive approach, we adoptedpreventive maintenance approach. To show feasibility we developed an integrated maintenance support system in LabView Watchdog Agent and SQL Server environment and validated our proposed methodology with experimental data.

• 한국정보과학회:학술대회논문집
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• 한국정보과학회 2004년도 가을 학술발표논문집 Vol.31 No.2 (2)
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• pp.550-552
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• 2004

예약 스케줄링 문제는 여러 가지 제약조건이 많고 탐색공간이 방대하기 때문에 백트래킹 방법이나 단순스케줄링을 통한 방법으로는 예약 스케줄링에서 가장 중요한 고객의 만족도를 향상시키기 어렵다. 본 논문에서 제시한 예약스케줄링 기법은 제약만족문제(CSP)와 객체지향개념을 예약 스케줄링 문제에 적용하여 온라인(On-line) 예약 시에 일어날 수 있는 문제점들을 해결하고자 하였다. 객체 지향 개념을 기반으로 고객(객체)들이 갖고 있는 사건들을 주어진 제약들에 만족하도록 목표인 보드에 배정한다. 특히 고객들의 만족도를 높이기 위해서 고객의 선호도 보드를 참조하여 객체들의 우선순위에 따라서 자원을 배정하고, 자원에 대한 객체의 선호도 차이를 가질 수 있게 하였다. 보드에 대한 정의와 모든 사건들에 대한 정보를 전역제약으로 사용하고, 고객이 가지는 보드의 슬롯들에 대한 선호도를 지역 제약으로 사용한다. 고객의 선호도보드를 참조하여 예약스케줄링을 수행한 결과의 고객 만족도가 많이 향상되었음을 알 수 있었다.

• 복식문화연구
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• 제17권3호
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• pp.512-522
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• 2009

The purpose of this study is to analyze IT infrastructure of Korean apparel industry in order to enhance business effectiveness and customer's satisfaction in information society with global networks. For this study, the questionnaires were distributed to 57 apparel industries in Korea. The data were analyzed by factor analysis, descriptive statistics, Cronbach's alpha coefficient, multi regression analysis. The results of this study are as follow: First, Considering the apparel industry, construction of information system is essential for assistance of information policy and utilization of information. Understanding of e-business policy affects profits of suppliers. Second, Apparel industry with higher information policy has higher productivity with flexibility. Third, Apparel industry which has close relationship with suppliers has better customer support. Flexible scheduling and production line are important factors for quick response of customer's order and need.

• 산업공학
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• 제15권1호
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• pp.99-106
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• 2002

A recently developed alternative to traditional production planning and control systems such as material requirement planning(MRP) and just-in-time(JIT) is the drum-buffer-rope(DBR). The DBR now being implemented in growing number of manufacturing organizations enables better scheduling and decision making on the shop floor. In implementing the DBR, however, an information system is usually needed to transmit the signal that runs from the constraint to material release. In this paper we propose a different mechanism to transmit the signal in the case that the demand of product is stable, which uses the well-known Kanban system. To improve the reality, this paper shows and example of the Kanban format, its operation, and calculation of the number of Kanbans.

• 조명전기설비학회논문지
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• 제14권3호
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• pp.59-67
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• 2000

본 연구는 확장하연서도 적용하기 어려운 계통인 인천국제공항 배전계통에 대하여 전력공급제한을 포함하는 종합적언 선협도평가를 하였다. 우선, 계통의 선로제약 및 전압강하를 고려한 평가를 하기 위하여 확정론적인 방법과 고장모드-효과분석법에 지반을 푼 PLOC지법을 도입하고, 신뢰도지수를 계산하었다. 또한 계통의 능력을 평가하고, 신뢰도를 개선하기 위하여 ANP를 도입하였다. 이와같은은 결과로 정확한 신뢰도를 계산하교 취약부분을 찾아내고, 계통의 확장계획을 수립하는 것올 가능하게 하였다.

• ETRI Journal
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• 제28권1호
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• pp.31-44
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• 2006

In a packet switching network, congestion is unavoidable and affects the quality of real-time traffic with such problems as delay and packet loss. Packet fair queuing (PFQ) algorithms are well-known solutions for quality-of-service (QoS) guarantee by packet scheduling. Our approach is different from previous algorithms in that it uses hardware time achieved by sampling a counter triggered by a periodic clock signal. This clock signal can be provided to all the modules of a routing system to get synchronization. In this architecture, a variant of the PFQ algorithm, called digitized delay queuing (DDQ), can be distributed on many line interface modules. We derive the delay bounds in a single processor system and in a distributed architecture. The definition of traffic contribution improves the simplicity of the mathematical models. The effect of different time between modules in a distributed architecture is the key idea for understanding the delay behavior of a routing system. The number of bins required for the DDQ algorithm is also derived to make the system configuration clear. The analytical models developed in this paper form the basis of improvement and application to a combined input and output queuing (CIOQ) router architecture for a higher speed QoS network.

• 제어로봇시스템학회논문지
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• 제11권3호
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• pp.233-239
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• 2005

This paper presents the design and evaluation of a tiltrotor attitude controller. The implemented response type of the command augumentation system is Attitude Command Attitude Hold. The controller architecture can alleviate the need for extensive gain scheduling and thus has the potential to reduce development time. The control algorithm is constructed using the feedback linearization technique. And an on-line adaptive architecture that employs a neural network compensating the model inversion error caused by the deficiency of full knowledge tiltrotor aircraft dynamics is applied to augment the attitude control system. The use of Lyapunov stability analysis guarantees boundedness of the tracking error and network parameters. The performance of the controller is evaluated against ADS-33E criteria, using the nonlinear tiltrotor simulation code for Bell TR301 developed by KARI. (Korea Aerospace Research Institute)

• 대한안전경영과학회지
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• 제5권2호
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• pp.155-164
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• 2003

In this regard, the newly focused logistics information system makes reducing the expenses of whole logistic available by cutting down the expenses of materials, transportation and stock and also, it allows the company to cut down the procurement expense through the reduced lead-time and rationalize producing plans by eliminating the uncertain orders and fluctuation in procurement. It further more optimizes the efficiency of over all productions by meeting the dead line for delivery to the customers. In the recent environment of globalization where fierce competitions exist between manufacturers, logistics plays important role in the strategies of companies, and managements of companies try their best efforts in establishing the strategy to accomplish the innovative relationship between supply chain channels. Therefore, in this study, we try to suggest the model of consolidated logistics system that is integrated logistics information system with suggesting the better way of logistics and comparative analysis with logistics system to resolve the difficulties numbers of companies face after realizing what logistics information system is in Korea.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 1998년도 제13차 학술회의논문집
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• pp.205-209
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• 1998

A synthesis of fuzzy variable structure control is proposed to design a high-angle-of-attack flight system for a modification version of the F-18 aircraft. The knowledge of the proportional, integral, and derivative control is combined into the fuzzy control that addresses both the highly nonlinear aerodynamic characteristics of elevators and the control limit of thrust vectoring nozzles. A simple gain scheduling method with multi-layered fuzzy rules is adopted to obtain an appropriate blend of elevator and thrust vectoring commands in the wide operating range. Improving the computational efficiency, an accelerated kernel for on-line fuzzy reasoning is also proposed. The resulting control system achieves the good flying quantities during a high-angle-of- attack excursion. Thus the fuzzy logic can afford the control engineer a flexible means of deriving effective control laws in the nonlinear flight regime.

• Biotechnology and Bioprocess Engineering:BBE
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• 제10권2호
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• pp.142-148
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• 2005

This paper proposes a cell age model for Penicillium chrysogenum fed-batch cultivation to supply a qualitative insight into morphology-associated dynamics. The average ages of the segregated cell populations, such as growing cells, non-growing cells and intact productive cells, were estimated by this model. A combined model was obtained by incorporating the aver-age ages of the cell sub-populations into a known but modified segregated kinetic model from literature. For simulations, no additional effort was needed for parameter identification since the cell age model has no internal parameters. Validation of the combined model was per-formed by 20 charges of industrial-scale penicillin cultivation. Meanwhile, only two charge-dependent parameters were required in the combined model among approximately 20 parameters in total. The model is thus easily transformed into an adaptive model for a further application in on-line state variables prediction and optimal scheduling.