• Journal of the Korea Academia-Industrial cooperation Society
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• v.8 no.5
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• pp.1082-1086
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• 2007

This research has a purpose of constructing the data monitoring system that makes two-tier work state in the brick production factory to unification by reusing cinder. Monitoring system automatically manages data by using data managing processes such as a state managing process, a location managing process, a badness managing process, a circumstances managing process. In this research, the data management monitoring system manufactures state information of each processes received from RFID and transmits them to data monitoring system. Analyzed data through this system reuses the cinder, so it can effectively manage the production process of the factory which produces bricks through processing automation, faulty-ratio minimization, real-time monitoring and loading managing.

• Journal of the Korea Institute of Building Construction
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• v.11 no.6
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• pp.567-575
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• 2011

With the development of construction information, a computerization tool for architectural process control is a necessary tool. However, the reality is that the conditions and understanding of users are not sufficient to fully utilize such a tool. In particular, it was analyzed that the reason for the negative feedback from hands-on workers regarding the current process control information system is that there is a difficulty in accessing the system for users that are not process and planning experts, due to a lack of information and technical contents at the phase of control and planning prior to the process plan. Therefore, the demands of users and a direction for the improvement of a system in terms of optimizing process control computerization were investigated, with the aim of addressing the disadvantages of the existing system and developing a professional system that is specialized in the construction industry. Therefore, it is necessary to construct an integrated WBS (IWBS) that combines WBS with CBS, and subsequently, it is judged that the most important aspect is the integrated technology of compatibility and operation of data that is linked with OBS. The process information must then deal with the changing information; in other words, the amount of construction, construction cost, and the required construction period etc., by coding data into a 4-unit index, such as a project unit (WBS Level 1), a project facility unit (WBS Level 2), a management department unit (OBS Level 1), and a control manager unit (OBS Level 2). After that, it was found that it is necessary to develop a computer system to consistently integrate process information into a management department.

• Proceedings of the Korean Institute Of Construction Engineering and Management
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• autumn
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• pp.85-90
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• 2002

In the construction industry, projects are becoming increasingly large and complex, involving multiple subcontractors. Traditional centralized coordination techniques used by the general contractors become less effective as subcontractors perform most work and provide their own resources. When subcontractors cannot provide enough resources, they hinder their own performance as well as that of other subcontractors and ultimately the entire project. Thus, construction projects need a new distributed coordination approach wherein all of the concerned subcontractors can reschedule a project dynamically. To enable the new distributed coordination of project schedule changes, I developed a novel agent-based compensatory negotiation methodology, which allows software agents to simulate negotiations on behalf of their human subcontractors. This research formalizes the necessary steps that would help construction project participants to increase the efficiency of their resource use, which in turn will enhance successful completions of whole projects.

• The Korean Journal of Applied Statistics
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• v.22 no.6
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• pp.1191-1201
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• 2009

The cumulative sum(CUSUM) control charts are typically used for detecting small level shifts in process control. To control an auto-correlated process, the model-based control methods can be employed, in which the residuals from fitting a time series model are applied to the CUSUM chart. However, the persistent level shifts in the original process may lead to varying mean shifts in residuals, which may deteriorate detection performance significantly. Therefore, in this paper, focussing on ARMA(1,1), we propose a new CUSUM type control method which can detect the dynamic mean shifts in residuals especially with oscillating pattern effectively and, through the simulation study, evaluate its performance by comparing with other various CUSUM type control methods introduced so far.

• Korean Journal of Construction Engineering and Management
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• v.7 no.4 s.32
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• pp.146-153
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• 2006

The Last Planner(LP), of which the goal is to improve work-flow reliability, has recently been introduced in Korea. It is found that some contractors have made efforts on applying the Last Planner to their projects. However, they face difficulties for a variety of reasons. This paper presents the case study results on Korean heavy civil projects, along with descriptions of the ways that the Last Planner was applied, and how the work flow reliability was improved. It also discusses the prerequisites and barriers to implementation of the Last Planner in applying heavy civil construction projects in Korea. The results can be used as a reference for companies to improve their work flow reliability for future projects.

• Proceedings of the Korean Society of Computer Information Conference
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• 2012.01a
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• pp.117-118
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• 2012

본 논문에서는 전자산업공정에서 발생하는 복합오염물질을 측정하고, 분석 관리하는 복합오염물질 분석 관리시스템을 설계하고 구현한다. 이 시스템은 측정기와 분석 및 관리 소프트웨어로 구성된다. 측정기는 복합오염물질을 검출하여 각 오염물질의 수치를 컴퓨터에 전송하는 기능을 제공한다. 분석 및 관리 소프트웨어는 검사, 데이터 관리, 뷰어 등의 모듈로 구성한다. 검사 모듈은 측정기에서 전송된 측정 데이터를 화면에 출력하고, 그 측정 데이터의 정상 기준치 초과 여부를 결정한다. 데이터 관리 모듈은 측정기에서 측정된 방대한 데이터를 데이터베이스에 저장하고 관리하는 기능을 제공한다. 뷰어 모듈은 데이터베이스에 저장된 측정데이터를 그래프 또는 차트 양식으로 출력하는 기능을 제공한다. 본 논문에서 구현한 복합오염물질 분석 관리 시스템은 실제 복합오염물질을 측정하는데 그치지 않고, 그 측정 데이터를 분석하고, 데이터베이스화하여 지속적으로 관리할 수 있는 장점이 있다.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.22 no.1
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• pp.74-80
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• 2021

This study investigated the process quality level of a K5 gas mask, which recently acquired its operational capability, through statistical process analysis for the mass production stages and their lots. The tensile adhesion strength was the only operating requirement in the manufacturing process of the K5 gas mask. For this purpose, the results of tensile adhesion strength between the lens and facial rubber during the initial and second mass production stages were analyzed using conventional statistical and statistical process analysis methods. The conventional statistical results indicated that the second mass production stage was better than the initial mass production stage. In cases of a control chart and process capability of tensile adhesion strength, the process quality level was also improved by following the mass production stages. The improvement was caused by process stabilization and work skill elevation. These results and methods are expected to be conducted and utilized in the third mass production stage. Moreover, quality improvement of K5 gas mask mass production can be achieved using the Lean 6 sigma procedure, MDAIC (Define, Measure, Analyze, Improve, Control).

• The Journal of the Convergence on Culture Technology
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• v.10 no.1
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• pp.403-409
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• 2024

In this paper, the guidelines for the design of an Artificial Intelligence(AI) based Integrated Process Safety Management(PSM) system to enhance workplace safety using data from process safety reports submitted by hazardous and risky facility operators in accordance with the Occupational Safety and Health Act is proposed. The system composed of the proposed guidelines is to be implemented separately by individual facility operators and specialized process safety management agencies for single or multiple workplaces. It is structured with key components and stages, including data collection and preprocessing, expansion and segmentation, labeling, and the construction of training datasets. It enables the collection of process operation data and change approval data from various processes, allowing potential fault prediction and maintenance planning through the analysis of all data generated in workplace operations, thereby supporting decision-making during process operation. Moreover, it offers utility and effectiveness in time and cost savings, detection and prediction of various risk factors, including human errors, and continuous model improvement through the use of accurate and reliable training data and specialized datasets. Through this approach, it becomes possible to enhance workplace safety and prevent accidents.

• ICROS
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• v.3 no.1
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• pp.60-65
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• 1997

본 고에서는 생산정보 처리 기술 중에서, 컴퓨터 이용설계와 공정설계(CAPP) 분야에서의 생산정보 통합 활용에 필요한 특징형상과 부품 관련 생산정보 통합 활용에 필요한 데이터베이스 설계라는 두 가지 경우에 국한하여 생산정보를 통합 활용하려는 연구 결과를 정리한다. 즉 밀링 가공 공정을 대상으로 "지적 공정설계 기술 개발" 과제를 통해 얻은 50개의 특징형상과, "S사 금형공장 생산관리 시스템 개발" 과제를 통해 얻은 데이터베이스 설계 방법이 정리되어 있지 않고 CAD/CAPP 통합 및 생산관리 시스템 구축이라는 일부 예에 불과하나, 새로운 연구 분야인 생산정보 통합 기술의 정립에 도움이 되기를 기대한다.술의 정립에 도움이 되기를 기대한다.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.18 no.36
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• pp.243-251
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• 1995

본 연구에서는 자동상관인 공정의 변화를 빠르게 탐지할 수 있는 Special-Cause CUSUM 관리도를 사용하여 다섯가지 시계열 모델에 대해 다음과 같은 연구를 수행한다. 첫째 ACF와 PACF로 파라미터에 따른 ARL의 변화를 쉽게 해석할 수 있는 방법과 둘째로 독립인 관측값에 적용하는 Hawkins(1992)의 ARL 간략계산법을 자동상관인 공정에서도 사용할 수 있는 기법을 제시하여 기존의 시뮬레이션을 이용한 ARL 계산법에 비해 빠르고도 정확한 값을 구한다. 끝으로 두가지 유형의 평균이동에 대한 ARL 변화를 각각 계산해 보아 그 효과를 비교분석 한다.