• 한국생산제조학회지
• /
• 제18권6호
• /
• pp.690-696
• /
• 2009

This paper introduces the automatic fine Bituminous Coal injection lance position control method using flame image process. The fine Coal injection lance is used to supply additional heat into the furnace in Mill plant. It injects fine coal into high pressured air flow and produces very heated and high pressured flame. For the such high temperature and pressure, the fine coal injection lance effects not only efficiency of burner but also furnace abrasion. To keep efficient combustion status and to avoid the abrasion, in this paper, the flame is monitored by computer image process. This paper proposes the flame image process method and lance position control according to calculated result for flame image process.

• 한국기계가공학회지
• /
• 제4권2호
• /
• pp.37-42
• /
• 2005

Recently $6{\sigma}$ quality control is an most important strategy to many enterprises in order to be a top company in the world, because it is an excellent scientific method to achieve the best quality control for their management and products. SY company is a small and medium one that has the quality problem for a long time such as occurring cracks on the surface of commutator at his assembly line while being assembled a rotor shaft and commutator of DC motor. This research was started to improve this problem by $6{\sigma}$ process, and as the results of this study, first, to find three vital fews, second, to get an achievement of about 21% improvement for the fracture strength of commutator, and third, to be recognized to change into $6{\sigma}$ quality control in SY company.

• 한국소성가공학회:학술대회논문집
• /
• 한국소성가공학회 1999년도 제3회 압연심포지엄 논문집 압연기술의 미래개척 (Exploitation of Future Rolling Technologies)
• /
• pp.390-398
• /
• 1999

The thermomechanical control process(in hot rolling strip mill) was employed to produce 2.25Cr-1Mo steel, which is to be construction material for the steam generator for power plant. Although the Conventional processes has been the primary means of producing the 2.25Cr-1Mo steel, an alternative method was used to meet the specification of ASTM heat treatment for A387-22-Classl using autotempering after coiling in hot rolling strip mill. The microstructures, tensile properties at various temperatures, and creep-rupture properties have been investigated to compare the properties with those of materials produced by the conventional process and to certify the application of the thermomechanical control process to an actual process of manufacturing 2.25-Cr-1Mo steel, this in turn, will reduce the cost of the process. About 14 to 34% glanular bainite (remainder proetectoid ferrite) formed in a coil, and this variety of volume fraction stems from the different cooling rates, which varies with position of the coil after coiling. Tensile testing from room temperature to 700$^{\circ}C$ indicated that strength increases with test temperature showing peaks at around 600$^{\circ}C$. Creep-rupture properties have been being investigated at the temperature of 500$^{\circ}C$ with 27.5, 32kg/$\textrm{mm}^2$ loads and have showed no rupture for over 1000 hours.

• 한국산학기술학회논문지
• /
• 제10권7호
• /
• pp.1725-1728
• /
• 2009

본 연구개발에서는 정해진 환경에서 최대의 불량검출 능력을 발휘할 수 있도록 공정을 개선하기 위하여 전게이트 시각검사에 필수적인 FGV 패턴발생 장치와 공정제어 장치를 개발하였다. 본 연구개발을 통하여 접촉손실(Tact Loss)을 0에 근접 한 수준으로 유지할 뿐만 아니라 손실 및 에러 발생시 신속한 대처가 가능하여 모듈의 수율을 향상시킬 수 있을 것으로 기대된다. 또한 세부 동작 시퀀스를 제어하기 위한 H/W와 S/W 시스템을 생산라인에 실장하고 성능점검 및 인증을 수행한 결과 Tact에 의한 Pixel 불량의 경우는 98.1%, Line 불량의 경우는 99.1%의 검출율을 나타내었으며, Gate 및 Visual 레벨 테스트를 포함한 모듈공정 전체의 수율이 98.3%까지 증가하였다.

• Industrial Engineering and Management Systems
• /
• 제12권2호
• /
• pp.112-117
• /
• 2013

The $\overline{x}$ control chart for the process mean and either the R or s control chart for the process dispersion have been used together to monitor the manufacturing processes. However, it has been pointed out that this procedure is flawed by a fault that makes it difficult to capture the behavior of process condition visually by considering the relationship between the shift in the process mean and the change in the process dispersion because the respective characteristics are monitored by an individual control chart in parallel. Then, the ($\overline{x}$, s) control chart has been proposed to enable the process managers to monitor the changes in the process mean, process dispersion, or both. On the one hand, identifying which process parameters are responsible for out-of-control condition of process is one of the important issues in the process management. It is especially important in the ($\overline{x}$, s) control chart where some parameters are monitored at a single plane. The previous literature has proposed the multiple decision method based on the statistical hypothesis tests to identify the parameters responsible for out-of-control condition. In this paper, we propose how to identify parameters responsible for out-of-control condition using the information criterion. Then, the effectiveness of proposed method is shown through some numerical experiments.

• 대한산업공학회지
• /
• 제42권6호
• /
• pp.404-411
• /
• 2016

In footwear manufacturing systems, the upper parts of the shoes are manually sewed on a sub-line while bottom parts are produced by machines such as injection and molding machines on a sub-line before these two parts are combined into complete shoes on a final assembly line. The manual operations for the upper parts lead to a large variability in processing times, resulting in higher work-in-process inventory. In most footwear industries, production lines have been controlled by MRP-based push systems. Some industries attempt to introduce Kanban-based pull systems. This paper identifies the characteristics of the footwear manufacturing processes, and discusses the problems of the current control systems. As an operational alternative, a CONWIP-based control strategy is presented. Simulation experiments are performed to examine the performance of the control strategies.

• 산업공학
• /
• 제7권3호
• /
• pp.69-76
• /
• 1994

In this paper, we develop a real-time manufacturing control and information management(POP) system that can support realization of CIM and information network of manufacturing system. The POP system systematically collect informal data that is originated from working area and make an offer collected information to planning side. Especially, this study designs a modular POP terminal that directly extract and process momentary information from field source and provide it to control system on real-time. In addition, we apply developed POP system with open architecture to flexibly and optimally operate the manufacturing system based on CIM.

• 산업경영시스템학회지
• /
• 제31권3호
• /
• pp.117-124
• /
• 2008

Ultra-high voltage transformer industry has characteristic of small quantity batch production system by other order processing unlike general mass production systems. In this industry, observance of time deadline is very important in market competitive power security and company continued existence. The transformer winding is a process that rolls a coil is coated with an electric insulation material in order to generate the required voltage using the voltage fluctuation. The winding process is very important production process in the extra-high voltage transformer manufacturing industry because winding process is core process that occupy weight about half of whole process and is process that decide current ratio of transformer. This paper proposes a statistical calculation and control method of planned leadtime on the basis of real data and informations for the A company in transformer winding process. Moreover, we develop unit process scheduling system.

• 한국산학기술학회논문지
• /
• 제17권1호
• /
• pp.646-653
• /
• 2016

본 연구는 고사리와 도라지의 HACCP(Hazard Analysis Critical Control Point)시스템 적용에 필요한 미생물학적 위해 요소 분석을 위한 목적으로 수행되었다. 제조공정도는 일반적인 제조업체의 제조공정을 참고하여 작성하였다. 원료농산물의 미생물학적 위해요소 분석결과 일반세균수는 도라지에서 $6.2{\times}10^3CFU/g$ 로 가장 많이 검출되었다. 하지만, 소독공정 이후의 미생물검사 결과는 모든 균이 검출되지 않아 안전한 것으로 나타났다. 제조환경과 작업자의 미생물 검사 결과, 체계적인 세척 및 소독을 통하여 작업자 위생교육 등을 기반으로 개인위생과 함께 미생물학적 위해를 감소시켜야 할 것으로 사료된다.

• 한국국방경영분석학회지
• /
• 제22권2호
• /
• pp.126-138
• /
• 1996

The statistical control chart has been proven to be the effective tool most widely used in the manufacturing industry for monitoring and controlling the manufacturing processes. However, the Shewhart chart sometimes gives us false information when the distribution of quality characteristics is skewed. Therefore, it cannot serve as the universal quality control chart if there exist odd events in the manufacturing process. The objective of this study is thus to develop the new technique for constructing the limits of quality control chart based on a sample median and range when the distribution of the underlying population is skewed. This new control chart can effectively solve and manage the processes which have the non-normally distributed quality characteristics frequently occurring in the practical situation.