• 산업경영시스템학회지
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• 제37권3호
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• pp.16-23
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• 2014

Most of metal cutting and processing companies are going through the difficulties such as frequent downtime and high failure rates by missing times to replace parts of CNC equipment. The reason is that the correct operation times of expensive CNC equipment can't be calculated. In this paper, to solve this problem, we try to construct the intelligent production information system for a case company and analyze its expected effects. The effects are as follows. First, it saves money about 3 million won each year during the useful life of three years by reducing downtime and failure rates, and increasing production rates etc. Second, it makes easily find and fix the cause of faulty through traceability of the production process, and enables to perform a systematic facility management through the calculation of reliable equipment's overall efficiency. This case can be easily applied in similar industries, and will contribute greatly to enhancing the competitiveness of related industries.

• 지능정보연구
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• 제6권2호
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• pp.15-27
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• 2000

본 논문에서는 통합플랫폼관리체제하에서 선박에서 발생하는 화재를 탐지하기 위하여 규칙 및 사례기반의 하이브리드 화재진압통제 지능시스템(H-FFIS)을 제안한다·기존의 화재진압통제 지능시스템은 대부분 규칙기반 시스템인데, 실제로 화재를 탐지하는데 필요한 지식은 정형화된 규칙만으로 표현하기 어려우며, 과거의 화재 발생 사례를 기초로 탐지하는 경우가 적지 않다. 또한 시스템의 성능 향상을 위해서 규칙을 계속 수정하고 추가해야 하는 단점이 있으며, 예외적인 상황에서 화재 가 발생시 적시에 화재를 탐지하는데 문제점을 지니고 있다. 이러한 문제점들을 개선하기 위하여 규칙 및 사례 기반의 하이브리드 지능시스템을 설계하고 구현한다. 제안하는 시스템은 기존의 FFIS 와 비교해 볼 때 화재 탐지율을 향상시켰다.

• 한국콘텐츠학회논문지
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• 제1권1호
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• pp.51-58
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• 2001

전자상거래 시스템은 편리한 인터페이스와 상품 정보에 대해 고객이 만족할 만한 수준의 쉽고 빠른 검색 기능을 제공 하여야한다. 이를 위해 지능형 에이전트 기술을 이용한 전자상거래 시스템에 대한 연구가 활발히 진행 되고 있다. 본 논문에서는 혼합적 추론 방법을 이용하여 전자상거래 고객의 요구를 좀더 충실히 반영한 상품의 정보와 고객의 관리가 가능하도록 한 전자상거래 에이전트 시스템을 설계하였다. 본 논문에서는 전자상거래 시스템의 효율을 높이기 위하여 먼저 에이전트는 지식기반의 지능적 다중에이전트로서 사례를 기반으로 한 사례기반 추론과 규칙을 기반으로 한 규칙기반 추론의 단점을 보완한 혼합적 추론 기법을 이용하였다. 또한 동시에 발생하는 다중 사용자의 응답 속도 저하를 방지하기 위해 메인 서버에서 로드 밸런싱을 통한 로드의 분산 기법과 2-계층 구조의 에이전트 구조를 통해 네트워크의 트래픽을 분산시킨 시스템을 설계하였다. 본 논문에서 제안한 전자상거래 시스템은 고객의 다양한 요구에 대한 적응성을 높였고 시스템에 대해 동시에 발생하는 다중 사용자의 요구로 인한 응답 속도의 저하를 막을 수 있다.

• 시스템엔지니어링학술지
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• 제17권2호
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• pp.1-8
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• 2021

This study proposes a systems engineering approach for the development of an advanced planning & scheduling (APS) system for a cosmetic case manufacturing factory. The APS system makes production plans and schedules based on the injection process, which consists of 27 plastic injection machines in parallel to control recommended inventory of products. The system uses machine operation/failure information and defective product/work-in-process tracking information to support intelligent scheduling. Furthermore, a genetic algorithm model is applied to handle the complexity of heuristic rules and machine/quality constraints in this process. As a result of the development, the recommended inventory compliance rate is improved by scheduling the 30-day production plan for 15 main products.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제3권5호
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• pp.423-443
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• 2009

We present the design and implementation of a unique sensing and actuation application -- the Illuminator: a sensor network-based intelligent light control system for entertainment and media production. Unlike most sensor network applications, which focus on sensing alone, a distinctive aspect of the Illuminator is that it closes the loop from light sensing to lighting control. We describe the Illuminator's design requirements, system architecture, algorithms, implementation and experimental results. The system uses the Illumimote, a multi-modal and high fidelity light sensor module well-suited for wireless sensor networks, to satisfy the high-performance light sensing requirements of entertainment and media production applications. The Illuminator system is a toolset to characterize the illumination profile of a deployed set of fixed position lights, generate desired lighting effects for moving targets (actors, scenic elements, etc.) based on user constraints expressed in a formal language, and to assist in the set up of lights to achieve the same illumination profile in multiple venues. After characterizing deployed lights, the Illuminator computes optimal light settings at run-time to achieve a user-specified actuation profile, using an optimization framework based on a genetic algorithm. Uniquely, it can use deployed sensors to incorporate changing ambient lighting conditions and moving targets into actuation. Experimental results demonstrate that the Illuminator handles various high-level user requirements and generates an optimal light actuation profile. These results suggest that the Illuminator system supports entertainment and media production applications.

• 한국전자거래학회:학술대회논문집
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• 한국전자거래학회 2002년도 e-Biz World Conference
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• pp.107-131
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• 2002

최근 제조산업에 있어 다품종, 소량화하는 생산환경과 생산이라는 기능 이외의 판매, 기술 개발 등의 부분을 컴퓨터 네트워크로 결합하여 전반적인 기업 활동의 종합적인 효율화가 중요한 문제로 대두되고 있다. 이러한 요구에 의해 통합 생산정보시스템이 발전하였고 각종 산업제품의 치열한 국제경쟁에 따른 생산시스템 및 마케팅의 세계화는 이러한 변화에 대처하는 지능형 생산시스템(IMS : Intelligent Manufacturing System) 체계를 필요로 하게 되었다. 따라서, 본 연구에서는 이러한 IMS를 효율적으로 구축하기 위해 제조분야의 정보시스템에 대한 분석과 문제점 및 발전방안을 알아보고, 효율적인 제조 정보시스템 구축에 있어서 필수적인 정보화 전략계획의 체계적인 수립 방안으로 각 정보화 전략계획 수립 단계별 절차와 산출물 그리고 산출물의 통합관리에 대한 체계를 개발하였다. 또한, 정보화 전락계획의 효율적 적용을 위해 각 단계별 상세한 체계설계와 Template를 제시하여 IMS를 효율적으로 지원하는 정보화 전략계획 수립 방안을 제시하였다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제14권4호
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• pp.1579-1602
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• 2020

In the design of production system, buffer capacity allocation is a major step. Through polymorphism analysis of production capacity and production capability, this paper investigates a buffer allocation optimization problem aiming at the multi-stage production line including unreliable machines, which is concerned with maximizing the system theoretical production rate and minimizing the system state entropy for a certain amount of buffers simultaneously. Stochastic process analysis is employed to establish Markov models for repairable modular machines. Considering the complex structure, an improved vector UGF (Universal Generating Function) technique and composition operators are introduced to construct the system model. Then the measures to assess the system's multi-state reliability and structural complexity are given. Based on system theoretical production rate and system state entropy, mathematical model for buffer capacity optimization is built and optimized by a specific genetic algorithm. The feasibility and effectiveness of the proposed method is verified by an application of an engine head production line.

• International Journal of Fuzzy Logic and Intelligent Systems
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• 제6권2호
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• pp.95-99
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• 2006

A tape feeder of a SMD(Surface Mount Device) mounter is a device that sequentially feeds electronic components on a tape reel to the pick-up system of the mounter. As components are getting much smaller, feeding accuracy of a feeder becomes one of the most important factors for successful component pick-up. Therefore, it is critical to keep the feeding accuracy to a specified level in the assembly and production of tape feeders. This paper describes a tape feeder inspection system that was developed to automatically measure and to inspect feeding accuracy using machine vision. It consists of a feeder base, an image acquisition system, and a personal computer. The image acquisition system is composed of CCD cameras with lens, LED illumination systems, and a frame grabber inside the PC. This system loads up to six feeders at a time and inspects them automatically and sequentially. The inspection software was implemented using Visual C++ on Windows with easily usable GUI. Using this system, we can automatically measure and inspect the quality of ail feeders in production process by analyzing the measurement results statistically.

• 한국정보시스템학회지:정보시스템연구
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• 제10권2호
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• pp.5-32
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• 2001

The main goal of this research is at the development of a bundle product suggestion sub-system of an internet shopping mall for fishery products, which can reduce the search cost of user. To achieve the goal, we first study tie key factors of successful direct commerce for fishery products, and second, we design a bundle product suggestion module and its sub-module. For this, we identify the objectives of system, and write out the necessary functions of the system and models(process model, data model, dynamic model) through the analysis of user requirements. Based on the functions and models, we design user interfaces, database, processes, and knowledge base. In designing knowledge base and inferencing strategy, we consider two intelligent agent approach(optimal algorithms, heuristic rules) and suggest one more approach(case-based reasoning). The intelligent agent can be used in enhancing the suggestion of multiple fishery product simultaneously. The system analysis and design documents presented as the research results can be used to provide good guidelines to the companies who consider developing an production suggestion agents.

• 한국지능시스템학회논문지
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• 제26권5호
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• pp.351-360
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• 2016

Rapid population growth with high living standards and high electronics use for personal comfort has raised the electricity demand exponentially. To fulfill this elevated demand, conventional energy sources are shifting towards low production cost and long term usable alternative energy sources. Hybrid renewable energy systems (HRES) are becoming popular as stand-alone power systems for providing electricity in remote areas due to advancement in renewable energy technologies and subsequent rise in prices of petroleum products. Wind and solar power are considered feasible replacement to fossil fuels as the prediction of the fuel shortage in the near future, forced all operators involved in energy production to explore this new and clean source of power. Presented paper proposes fuzzy logic based Energy Management System (EMS) for Wind Turbine (WT), Photo Voltaic (PV) and Diesel Generator (DG) hybrid micro-grid configuration. Battery backup system is introduced for worst environmental conditions or high load demands. Dump load along with dump load controller is implemented for over voltage and over speed protection. Fuzzy logic based supervisory control system performs the power flow control between different scenarios such as battery charging, battery backup, dump load activation and DG backup in most intellectual way.