• 제목/요약/키워드: Engineering Process Control

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계량형 관리도와 관련된 불편화 상수의 비교 (Comparison of the Unbiasing Constants in Connection with Variable Control Charts)

  • 안해일
    • 산업경영시스템학회지
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    • 제37권4호
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    • pp.134-144
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    • 2014
  • With the advent of lean-six sigma era, an extensive use of analytic tools such as control charts is required in the field of manufacturing. In relation to statistical quality control (SQC) or process control (SPC), the Korean standards have undergone a meaningful change. In this study, the theoretic backgrounds for evaluating the control limits in connection with the variable control charts are examined in view of better understanding the related constants and coefficients. This paper is intended to help the quality control practitioners understand the mathematical backgrounds by comparing related quality control constants and also to encourage them to make use of and to take the advantage of the variable control charts which are very useful for implementing the concept of lean-six sigma in many industrial sites.

A New Firing Process Method by Using RTS System for Transparent Dielectric Layer of PDP

  • Kim, Song-Kwan;Yun, Hae-Sang;Kim, Young-Cho;Yoon, Cha-Keun;Whang, Ki-Woong;Park, Sun-Woo
    • 한국정보디스플레이학회:학술대회논문집
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    • 한국정보디스플레이학회 2000년도 제1회 학술대회 논문집
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    • pp.187-188
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    • 2000
  • The conventional firing process method for the transparent dielectric layer in PDP Technology has disadvantages of low through put, high power consumption and large process area. We propose the rapid thermal scinterring (RTS) method as new process method to overcome these disadvantage characteristics. As the experimental result of this method, the optic transmittance(wavelength : 600nm) rate of transparent dielectric layer was more improved than conventional furnaces under the optimized gas supplying. Further, it was certified this method had the best conditions on the firing process of the PDP transparent dielectric layer.

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고급 홍삼 생산을 위한 증삼공정의 제어 (Control of Steaming Process for the Production of High Quality Red Ginseng)

  • 김신;나영훈;이지태;조원휘
    • Korean Chemical Engineering Research
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    • 제52권5호
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    • pp.587-591
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    • 2014
  • 고급 홍삼의 생산 수율을 증가시키는 제어 방법에 관한 실험을 수행하였다. 수삼에서 홍삼을 만드는 과정 중 수증기로 수삼을 찌는 증삼 공정에서 동체균열, 내공, 내백 등이 발생하는데 이는 홍삼의 품질을 저하시키는 원인이 된다. 고급 홍삼의 수율을 증가시키기 위해서는 이런 불량 요인을 최소화하는 방법이 필요하다. 최근까지 대부분의 증삼 공정의 제어는 증삼 과정의 필수 인자인 온도만을 조절하거나 온도와 압력을 동시에 조절하여 제어하는 방법이 연구되었다. 그러나 이는 불량 요인을 최소화하는 목적에 적합하지 못한 것으로 보인다. 이와 달리, 본 연구에서는 기존의 홍삼 제조 방식을 토대로 $96{\sim}99^{\circ}C$의 온도를 유지하면서 수삼의 무게 제어를 통하여 불량 요인을 최소화하는 제어 방법을 제시한다. 무게 제어를 적용한 실험 결과 증삼 과정 후 수삼의 동체균열의 불량요인이 줄어드는 것을 확인할 수 있었다.

칼만 게인 궤환 평균을 이용한 적응 EWMA 관리도 설계 (A Study on the Design of Adaptive EWMA Control Chart using Kalman Gain Recursive Average)

  • 윤상원;윤석환;신용백
    • 품질경영학회지
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    • 제24권1호
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    • pp.73-86
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    • 1996
  • Adaptive EWMA(Exponentially Weighted Moving Average)-x control chart using the Kalman gain recursive average is designed. The designed control chart is effective to on-line process monitoring as continuous flow processes. Performance evaluation between the designed control chart and traditional one is implemented. For this, ARL(Average Run Length) is adopted as a criterion. Results show that the designed adaptive EWMA-x control chart has shorter ARL than EWMA-x control chart when process mean is shifted. This model can be extended to process prevention control. The methodology proposed in this research is turned out to show the high performance than that of the given methodologies.

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공정평균을 관리하기 위한 로버스트 관리도 (Robust Control Chart for the Control of the Process Mean)

  • 이병근;정현석;남호수
    • 산업경영시스템학회지
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    • 제21권48호
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    • pp.65-71
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    • 1998
  • Control chart is a very extensively used tool in testing whether a process is in a state of statistical control or not. In this paper, a robust control chart for variables is proposed, which is based on the Huber's M-estimator. The Huber's M-estimator is a well-known robust estimator in sense of distributional robustness. In the proposed chart, the estimation of the process deviation is modified to have a stable level and high power. To compare the performances of the proposed control chart with the classical (equation omitted), some Monte Carlo simulations are performed. The simulation results show that the robust control chart has good performance.

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인간-컴퓨터 작업에서 감시체계의 상황인지과정에 관한 연구 (A Study on the Cognitive Process of Supervisory control in Human-Computer Interaction)

  • 오영진;이근희
    • 산업경영시스템학회지
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    • 제16권27호
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    • pp.105-111
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    • 1993
  • Human works shift its roll from physical condition to the system supervisory control task In this paper safety-presentation configuration is discussed instead of well-known fault-warning configuration. Of paticular interest was the personal factor which include the cognitive process. Through a performance between each person information processing(d') and decision process($\beta$) was pointed out to explain the sensitivity of personal cognitive process. Impact of uncertainty effect the supervisor having doubt situations. These facts are released by the use of flat fuzzy number of $\beta$ and its learning rate R.

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시멘트 제법의 숙녀화 적용에 대한 접착제 평가와 품질관리에 관한 연구 (A Study on the Evaluation and Quality Control of Adhesives Applicable to the Style of Ladies' Leather Shoe according to the Cementing Process.)

  • 양대용;이상신;이종철
    • 산업경영시스템학회지
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    • 제17권32호
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    • pp.137-144
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    • 1994
  • According to the cementing process, adhesive for dress shoe applicable to the style of ladies' has steadily been developed. In the study on the evaluation, mathematical model is presented. In the study on the quality control, a list of test results from field application and a model of manufacturing process including adhesion process are introduced.

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Tension Control of the Let-off and Take-up System in the Weaving Process Based on Support Vector Regression

  • Han, Dong-Chang;Back, Woon-Jae;Lee, Sang-Hwa;Lee, Hyuk-Jin;Noh, Seok-Hong;Kim, Han-Kil;Park, Jae-Yong;Lee, Suk-Gyu;Chun, Du-Hwan
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 2005년도 ICCAS
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    • pp.1141-1145
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    • 2005
  • This paper proposes a robust tension control algorithm for the let-off and take-up system driven by servo motor which is robust to disturbance and tension variation by using SVR(Support Vector Regression). Quality of textile goods in fiber manufacturing process highly depends on control of let-off, take-up and tension which are essential for constant tension control of yarn and textile fabrics and correct length of them. The physical properties of textile fabrics are very sensitive to several factors(temperature, humidity, radius change of warp beam etc.) which result in tension change. Rapid development of fiber manufacture machine for higher productivity requires control system for let-off, take-up and tension for robustness to sharp tension-variation and quick response. The validity and the usefulness of the proposed algorithm are thoroughly verified through numerical simulation.

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회전운동 제어시스템을 위한 고성능 추적제어기의 설계 (High-Performance Tracking Controller Design for Rotary Motion Control System)

  • 김영덕;박수현;류성현;송철기;이호성
    • 한국기계가공학회지
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    • 제20권11호
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    • pp.43-51
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    • 2021
  • A robust tracking controller design was developed for a rotary motion control system. The friction force versus the angular velocity was measured and modeled as a combination of linear and nonlinear components. By adding a model-based friction compensator to a nominal proportional-integral-derivative controller, it was possible to build a simulated control system model that agreed well with the experimental results. A zero-phase error tracking controller was selected as the feedforward tracking controller and implemented based on the estimated closed-loop transfer function. To provide robustness against external disturbances and modeling uncertainties, a disturbance observer was added in the position feedback loop. The performance improvement of the overall tracking controller structure was verified through simulations and experiments.

PLC 디지털 제어 신호를 통한 LSTM기반의 이산 생산 공정의 실시간 고장 상태 감지 (Real-Time Fault Detection in Discrete Manufacturing Systems Via LSTM Model based on PLC Digital Control Signals)

  • 송용욱;백수정
    • 산업경영시스템학회지
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    • 제44권2호
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    • pp.115-123
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    • 2021
  • A lot of sensor and control signals is generated by an industrial controller and related internet-of-things in discrete manufacturing system. The acquired signals are such records indicating whether several process operations have been correctly conducted or not in the system, therefore they are usually composed of binary numbers. For example, once a certain sensor turns on, the corresponding value is changed from 0 to 1, and it means the process is finished the previous operation and ready to conduct next operation. If an actuator starts to move, the corresponding value is changed from 0 to 1 and it indicates the corresponding operation is been conducting. Because traditional fault detection approaches are generally conducted with analog sensor signals and the signals show stationary during normal operation states, it is not simple to identify whether the manufacturing process works properly via conventional fault detection methods. However, digital control signals collected from a programmable logic controller continuously vary during normal process operation in order to show inherent sequence information which indicates the conducting operation tasks. Therefore, in this research, it is proposed to a recurrent neural network-based fault detection approach for considering sequential patterns in normal states of the manufacturing process. Using the constructed long short-term memory based fault detection, it is possible to predict the next control signals and detect faulty states by compared the predicted and real control signals in real-time. We validated and verified the proposed fault detection methods using digital control signals which are collected from a laser marking process, and the method provide good detection performance only using binary values.