• Journal of Information Processing Systems
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• 제16권6호
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• pp.1271-1280
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• 2020

The yield and quality of a micromanufacturing process are important management factors. In real-world situations, it is difficult to achieve a high yield from a manufacturing process because the products are produced through multiple nanoscale manufacturing processes. Therefore, it is necessary to identify the processes and equipment that lead to low yields. This paper proposes an analytical method to identify the processes and equipment that cause a defect in the plastic ball grid array (PBGA) during the manufacturing process using logistic regression and stepwise variable selection. The proposed method was tested with the lot trace records of a real work site. The records included the sequence of equipment that the lot had passed through and the number of faults of each type in the lot. We demonstrated that the test results reflect the real situation in a PBGA manufacturing process, and the major equipment parameters were then controlled to confirm the improvement in yield; the yield improved by approximately 20%.

• 대한산업공학회지
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• 제33권3호
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• pp.364-372
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• 2007

The cost modeling of the LCD manufacturing system with the repair and the rework process is hard to achieve because of it's complex manufacturing process. The technical cost modeling divides each process separately and hierarchically, so it is very useful to calculate the total manufacturing cost of the complex manufacturing system. We applied the method to the complex LCD manufacturing system to obtain more accurate cost model. Yields are the most important control parameters in manufacturing. In this paper, we propose a yield based cost model for the LCD manufacturing system and reveal the relationship between manufacturing yield and cost. Through the model, we can estimate the manufacturing cost on the basis of yields that are control indicators of manufacturing. Some simulations are performed to observe the effects of the yield to the cost, and the results are coincide with the real situation. With the proposed model, we expect to develop some optimization problems for enlarging productivity in the LCD industry.

• 한국경영과학회:학술대회논문집
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• 대한산업공학회/한국경영과학회 2004년도 춘계공동학술대회 논문집
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• pp.467-470
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• 2004

MANPro-based control is a novel control paradigm aimed at intelligent manufacturing systems on the basis of mobile agent-based negotiation process (MANPro). MANPro is a negotiation mechanism based on the agent-based control architecture and, especially, it adapts a mobile agent system called N-agent for the negotiation process. N-agent travels around the network of distributed manufacturing systems to acquire information, and it makes a decision for system control according to the obtained information. MANPro includes communication architecture and information architecture for intelligent shop floor control. MANPro also considers the following issues: (1) negotiation mechanism, (2) single-agent internal strategic policies, and (3) information model. Communication architecture concerns the first issue of the negotiation mechanism. It provides information exchanging mechanism with functional modules. In specific, N-agent is equipped with an intelligent reasoning engine with a built-in knowledge base. This reasoning engine is closely related to the single-agent internal strategic policies of the second issue. Finally, ontology-based information architecture addresses information models and provides a framework for information modeling on negotiation. In this paper, these three issues are addressed in detail and a framework of MANPro-based control is also proposed.

• 한국CDE학회논문집
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• 제10권4호
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• pp.237-243
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• 2005

To increase the productivity and efficiency of an enterprise, all relevant product information should be provided to shop floor workers timely and in a unified form because shop floor workers are final consumers of most accumulated information generated from various departments of an enterprise. But, most existing enterprise information systems have an emphasis upon providing design/manufacturing information to office workers. Proposed in this study is the development of integrated design/manufacturing information system focused on providing cohesive information required to shop floor activities. For developing integrated information system, the functional requirements at the shop floor are identified and analyzed. Based on the extracted functional requirements, object-oriented system design and implementation is conducted. By using this system, shop floor workers can use all relevant information required to their daily operation in a integrated and unified form.

• 한국산학기술학회논문지
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• 제11권9호
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• pp.3232-3238
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• 2010

유연생산시스템은 고자동화 생산시스템일 뿐만 아니라, 사용자와 시장의 요구를 만족시키기 위해 유연한 생산시스템이 요구됨에 따라 작업배정규칙 할당에 있어서 시스템과 작업환경에 많은 제약을 받게 된다. 본 논문에서는 온톨로지 지식 기반의 작업환경을 고려한 유연생산시스템의 작업배경규칙 할당방법을 제시한다. 에이전트를 이용하여 작업장 환경과 작업내용을 모니터링하고, 이에 적합한 작업배정규칙을 온톨로지 지식으로부터 추론하여 시스템에 적용한다. 본 시스템 개발을 위해 멀티에이전트를 지원하는 $JADE^{TM}$ 플랫폼을 이용하였으며, 온톨로지는 Protege를 이용하여 개발되었다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제13권3호
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• pp.1385-1402
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• 2019

Quickly picking up some valuable information from massive manufacturing event stream usually faces with the problem of long detection time, high memory consumption and low detection efficiency due to its stream characteristics of large volume, high velocity, many variety and small value. Aiming to solve the problem above for the current complex event processing methods because of not sharing detection during the detecting process for massive manufacturing event streams, an efficient complex event processing method based on multipattern sharing is presented in this paper. The achievement of this paper lies that a multipattern sharing technology is successfully used to realize the quick detection of complex event for massive manufacturing event streams. Specially, in our scheme, we firstly use pattern sharing technology to merge all the same prefix, suffix, or subpattern that existed in single pattern complex event detection models into a multiple pattern complex event detection model, then we use the new detection model to realize the quick detection for complex events from massive manufacturing event streams, as a result, our scheme can effectively solve the problems above by reducing lots of redundant building, storing, searching and calculating operations with pattern sharing technology. At the end of this paper, we use some simulation experiments to prove that our proposed multiple pattern processing scheme outperforms some general processing methods in current as a whole.

• 통상정보연구
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• 제12권2호
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• pp.183-211
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• 2010

This paper empirically investigated whether the dependence of manufacturing firms effects the influence strategies and long-term orientation based on the data from manufacturing firms in Korea. U.S., and Japan. Also, the proposed model was proven by the structural equation model with the data gathered from 105 manufacturing firms in Korea, 103 in U.S., and 83 in Japan. The findings were as follows. First, the dependence of all of manufacturing firms, regardless of country, positively affected the coercive influence strategies of distributors, whereas the dependence positively affected the noncoercive influence strategies in U.S. and Japan but in the case of Korea, it showed the reverse direction and were not statistically significant. Second, the dependence of Korean manufacturing firms positively affected the long-term orientation but American manufacturing firms showed the reverse direction and it was not statistically significant. In the case of Japanese manufacturing firms, the direction predicted in the paper was shown but was not statistically significant. Third, the coercive influence strategies positively affected the long-term orientation in Korea but it showed the negative relationship in Japan. Fourth, the noncoercive influence strategies positively affected the long-term orientation in all countries. Lastly, a few implications, limitations and future study issues were discussed.

• Journal of Information Processing Systems
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• 제15권1호
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• pp.181-188
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• 2019

A production system is a management system that supports all activities to perform production operations at the manufacturing site. From the point-of-view of a smart factory, smart manufacturing systems redesigned the concept of onsite production systems to fit the entire system and its necessary functional composition. In this study, we select the key functions needed to build a smart factory for a PCB line and propose a new six-step model for the deployment of a smart manufacturing system by integrating essential functions. The smart manufacturing system newly classified the production and operation tasks of PCB manufacturing and selected necessary functions through requirement analysis and benchmarking of advanced companies. The selected production operation tasks are mapped to the functions of the system and configured into seven modules, and the optimal deployment model is presented to allow flexible responses to the characteristics of the tasks. These methodologies are first presented in this study, and the proposed model was applied to the PCB line to confirm that they had significant changes in the work method, qualitative effects, and quantitative effects. Typically, lead time and WIP have reduced by about 50%.

• Journal of Information Processing Systems
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• 제18권2호
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• pp.208-222
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• 2022

Through the analysis of the coordination mechanism of the supply chain system of China's automobile manufacturing industry, the factors affecting the supply subsystem, the manufacturing subsystem, the sales subsystem, and the consumption subsystem are sorted out, the supply chain coordination index system based on the influence factor of four subsystems is established. The evaluation models of the coordination degree in the subsystem of the supply chain, the coordination degree among the subsystems, and the comprehensive coordination degree are established by using the efficiency coefficient method and the collaborative entropy method. Experimental results verify the accuracy of the evaluation model using the empirical analysis of the collaborative evaluation index data of China's automobile manufacturing industry from 2000 to 2019. The supply chain synergy of automobile manufacturing industry was low from 2001 to 2005, and it increased to a certain extent from 2006 to 2008 with a small growth rate from 0.10 to 0.15. From 2009 to 2013, the supply chain synergy of automobile manufacturing industry increased rapidly from 0.24 to 0.49, and it also increased rapidly but fluctuated from 2014 to 2019, first rising from 0.68 to 0.84 then dropping to 0.71. These results provide reference for the development of China's automobile manufacturing supply chain system and scientific decision-making basis for the formulation of relevant policies of the automobile manufacturing industry.

• 한국정보통신학회논문지
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• 제19권5호
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• pp.1031-1039
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• 2015

본 연구는 산업연관분석을 통하여 국내 정보보호 제조 및 서비스 산업의 경제파급효과를 분석한 것이다. 분석 결과, 정보보호 제품의 생산유발계수는 전 산업 평균보다 크지만, 정보보호 서비스는 전 산업 평균을 크게 하회하는 것으로 나타났다. 반면, 부가가치유발계수 및 고용유발계수의 경우 정보보호 서비스는 전 산업 평균을 크게 상회하는데 반해, 정보보호 제품은 전 산업 평균에 미치지 못해 생산유발계수와 대조적인 결과를 보였다. 전ㆍ후방 연쇄효과는 정보보호 제품 및 서비스 모두 산업 평균보다 낮은 수준으로 나타났다. 그리고 정보보호 산업은 전반적으로 국민경제에 미치는 성장 기여도와 고용기여도가 미약한 것으로 나타났으며, 특히 정보보호 제품의 경우 고용기여도가 마이너스를 기록해 해당 부문의 고용증대를 위한 노력이 시급한 것으로 나타났다.