• 품질경영학회지
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• 제50권3호
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• pp.473-490
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• 2022

Purpose: The purpose of this study is to propose a new useful suggestion to monitor the stability of process by developing a stability ratio or index related to investigating how well the process is controlled or operated to the specified target. Methods: The proposed method to monitor the stability of process is building up a new measure index which is making up for the weakness of the existing index in terms of short or long term period of production. This new index is a combined one considering both stability and capability of process to the specification limits. We suppose that both process mean and process variation(or deviation) are changing on time period. Results: The results of this study are as follows: regarding the stability of process as well as capability of process, it was shown that two indices, called SI(stability index) and PI(performance index), can be expressed in two-dimensional X-Y graph simultaneously. This graph is categorized as 4 separated partitions, which are characterized by its numerical value intervals of SI and PI which are evaluated by test statistics. Conclusion: The new revised index is more robust than the existing one in investigating the stability of process in terms of short and long period of production, even in case both process mean and variation are changing.

• Korean Chemical Engineering Research
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• 제58권4호
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• pp.565-572
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• 2020

본 연구는 증류탑 분리공정 시스템 최적화를 위하여 인공지능 머신러닝이 적용된 소프트웨어 플랫폼을 개발하였다. 증류탑 분리공정은 석유화학 산업의 대표적이고 핵심적인 공정이다. 하지만 다양한 운전조건과 연속식공정 특성으로 인하여 안정적인 운전이 어려우며 운전자 숙련도에 의하여 공정효율에 차이가 발생된다. 이를 해결하기 위하여 이론적 시뮬레이션을 활용한 제어방법이 개발되어 사용되고 있지만 특수하거나 복잡한 반응이 포함된 공정에는 적용이 어려우며, 거대한 시스템에 대하여 분석이 이루어질 경우 계산비용 증대로 인하여 실시간 제어와 연동이 어려운 한계점을 지니고 있다. 따라서 본 연구에서는 이러한 문제점을 해결하기 위하여 머신러닝을 기반으로 한 경험적 시뮬레이션 모델을 개발하고 이를 통하여 최적의 공정운영방법을 제시하고자 한다. 경험적 시뮬레이션 개발은 실제 공정에서 수집된 빅 데이터, 데이터마이닝을 통한 특성추출, 공정을 대표하는 데이터 선별, 화학공정 특성에 맞는 모델 선정으로 이루어졌으며, 현장검증 및 테스트를 통하여 증류탑 분리공정 플랫폼이 개발되었다. 최종적으로 개발된 플랫폼을 통하여 운전 조작변수의 예측이 가능하며, 최적화된 운전조건을 제공하여 효율적인 공정운영을 달성할 수 있다. 본 논문은 머신러닝 기법을 화학공정에 적용한 기초연구로서 이후 다양한 공정에 적용하여 4차 산업의 스마트 팩토리의 초석이 되어 널리 활용될 수 있을 것이라 판단된다.

• 산업공학
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• 제22권1호
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• pp.26-37
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• 2009

BPM(Business Process Management) secures the agility of an enterprise through automation, integration, and optimization of business process. For the successful BPM introduction, the evaluation and selection of suitable processes for BPM are very important. But as to process evaluation and selection standards, in fact, various selection elements exist and they have to be considered. Therefore, it is very difficult to evaluate systematically and reasonably business processes for enterprises or concerned persons that plan to introduce BPM. This paper describes a Web-based business process evaluation model for BPM using BSC(Balanced Scorecard) and fuzzy AHP(Analytic Hierarchy Process). A Web-based business process evaluation system was implemented based on this and it provides many useful business process evaluation results to enterprises or concerned persons that have insufficient experience and knowledge about BPM, and initially plan to implement BPMS(Business Process Management System). Thus, this paper demonstrates the applicability of fuzzy AHP concept in business process evaluation and selection for BPM, and provides a systemic guidance in the decision-making process.

• 산업경영시스템학회지
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• 제41권1호
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• pp.110-117
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• 2018

Machines and facilities are physically or chemically degenerated by continuous usage. One of the results of this degeneration is the process mean shift. By the result of degeneration, non-conforming products and malfunction of machine occur. Therefore a periodic preventive resetting the process is necessary. This type of preventive action is called 'preventive maintenance policy.' Preventive maintenance presupposes that the preventive (resetting the process) cost is smaller than the cost of failure caused by the malfunction of machine. The process mean shift problem is a field of preventive maintenance. This field deals the interrelationship between the quality cost and the process resetting cost before machine breaks down. Quality cost is the sum of the non-conforming item cost and quality loss cost. Quality loss cost is due to the deviation between the quality characteristics from the target value. Under the process mean shift, the quality cost is increasing continuously whereas the process resetting cost is constant value. The objective function is total costs per unit wear, the decision variables are the wear limit (resetting period) and the initial process mean. Comparing the previous studies, we set the process variance as an increasing concave function and set the quality loss function as Cpm+ simultaneously. In the Cpm+, loss function has different cost coefficients according to the direction of the quality characteristics from target value. A numerical example is presented.

• 융복합기술연구소 논문집
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• 제6권2호
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• pp.35-40
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• 2016

Ignitor tip is a component of burner to start the burning process in power plant. This is used to ignite the coal to a constant operating state by fuel mixed with air and kerosene. This component is composed of three components so that air and kerosene are mixed in the proper ratio and injected uniformly. Because the parts with the designed shape are manufactured in the machining process, they have to be made of three parts. These parts are designed to have various functions in each part. The mixing part mixes the supplied air and kerosene through the six holes and sends it to the injecting part at the proper ratio. The inject part injects mixed fuel, which is led to have a constant rotational direction in the connecting part, to the burner. And the connecting plate that the mixed fuel could rotate and spray is assembled so that the flame can be injected uniformly. But this part causes problems that are worn by vibration and rotation because it is mechanically assembled between the mixing part and the inject part. In this study, 3D printing method is used to integrate a connecting plate and an inject part to solve this wear problem. The 3D printing method could make this integrated part because the process is carried out layer by layer using a metal powder material. The part manufactured by 3D printing process should perform the post process such as support removal and surface treatment. However, while performing the 3D printing process, the material properties of the metal powders are changed by the laser sintering process. This change in material properties makes the post process difficult. In consideration of these variables, we have studied the optimization of manufacturing process using 3D printing method.

• 공업화학
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• 제31권6호
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• pp.660-667
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• 2020

본 연구의 대상은 에폭시 레진 생산 공정으로 155 ℃ 이상의 고온 스팀을 열원으로 사용하고 있으며 공정에서 생성되는 응축수는 전량 버려지고 있다. 공정의 일부는 70 ℃ 이하의 저온으로 운전되므로 버려지는 응축수를 재활용하여 저온 공정의 열원으로 사용한다면 스팀 사용량 저감이 가능하다. 따라서 본 연구에서는 응축수 재활용을 통해 폐열을 회수하여 스팀 사용량을 저감할 수 있는 공정을 제시하고 모델을 개발하였다. 최적의 응축수 재활용 공정을 찾기 위한 사례연구를 진행하였고, 각 사례의 연간 자본 비용 및 스팀 저감 비용을 비교하여 경제성 평가를 실시하였다. 제안된 공정에서 응축수 회수를 통해 저온 공정에 사용하는 스팀 사용량을 연간 최대 67.6%까지 저감하여 최대 연 522.1 백만원의 추가 수익의 확보가 가능함을 확인하였다.

• 한국분말재료학회지
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• 제29권6호
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• pp.459-467
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• 2022

Soft magnetic powder materials are used throughout industries such as motors and power converters. When manufacturing Fe-based soft magnetic composites, the size and shape of the soft magnetic powder and the microstructure in the powder are closely related to the magnetic properties. In this study, Fe-Si-Al-P alloy powders were manufactured using various manufacturing process parameter sets, and the process parameters of the vacuum induction melt gas atomization process were set as melt temperature, atomization gas pressure, and gas flow rate. Process variable data that records are converted into 6 types of data for each powder recovery section. Process variable data that recorded minute changes were converted into 6 types of data and used as input variables. As output variables, a total of 6 types were designated by measuring the particle size, flowability, apparent density, and sphericity of the manufactured powders according to the process variable conditions. The sensitivity of the input and output variables was analyzed through the Pearson correlation coefficient, and a total of 6 powder characteristics were analyzed by artificial neural network model. The prediction results were compared with the results through linear regression analysis and response surface methodology, respectively.

• 디자인학연구
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• 제16권2호
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• pp.111-120
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• 2003

이 논문은 산업적으로 생산되는 제품의 개인화를 위한 디자인 방법과 그 과정을 연구하고, 그 결과로서 단위 구성 시스템 디자인을 제안하는 것이다. 따라서 본 연구는 산업사회에서의 개인화를 밝히고, 시스템적 접근법으로 산업적 생산제품의 사용과정을 분석하여 사용과정의 시스템을 규명하는 것에서 출발하고 있다. 사용과정의 시스템은 산업제품의 기능과 연관되어 있다. 따라서 산업제품의 기술 시스템 이론을 적용하여 사용 과정의 시스템을 구성하는 단위를 정의하고, 그 단위로 구성되는 시스템의 디자인을 열린 시스템으로서 규명한다. 그리고 개인용 컴퓨터를 대상으로 한 단위 구성 시스템의 실천적 구현을 통해 그 타당성과 한계를 밝히고 있다.

• 한국게임학회 논문지
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• 제11권2호
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• pp.131-140
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• 2011

프로그램 개발에 있어 디버깅은 매우 중요한 요소이다. 개발 과정에서 디버깅을 통해 버그를 대부분 잡을 수 있지만 제품이 출시된 이후에도 프로그램 버그를 잡을 수 있는 시스템이 필요하다. 이를 위해 포스트 모템 디버깅에 대해 살펴보고 프로세스 덤프에 대해 논의한다. 또한 프로그램이 다운되었는데 프로세스 덤프가 생성되지 않는 상황에 대해 원인을 분석해 보도록 한다. 아울러 검증된 예외 핸들러라 하더라도 프로세스 덤프를 남기지 못하는 상황을 이해하고 이런 상황을 타개하기 위해 EHModule(Exception Handler Module)를 구현한다. 구현한 EHModule의 핵심 루틴을 설명하고 해당 모듈의 특징 및 효용성에 대해 언급한다.

• 대한산업공학회지
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• 제39권2호
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• pp.129-134
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• 2013

The airport processes are restricted by some limits of performance objects as size of airport, ability of human resources, capacity of facilities and operational rules. These limitations make passenger handling difficult when passenger numbers increase. In order to solve this problem, we modeled the airport process and analyzed departure passenger arrival, scheduled security manpower under specific customer service level maintenance with mixed integer programming and validate the efficiency with simulation with adapting smart airport framework. We concluded that the airport management with information techniques can reduce waiting time within security and immigration process.