반도체 장비 데이터 통신 네트워크의 성능평가에 관한 연구
Performance Evaluation of Semiconductor Equipment Data Communication Network
0
조회
0
다운로드
2
인용
0
참고문헌
키워드
초록
반도체 산업에서 제조비용을 최소화하고 생산성과 수율을 보다 향상시키기 위해서는 새로운 공정기술의 개발뿐만 아니라 효과적인 장비 운영·관리기술의 개발과 적용이 필요하다(박유진과 황하란, 2013). 따라서 보다 효율적으로 반도체 생산장비를 운영하고 관리하기 위해 모든 반도체 관련 업체들은 다양한 활동을 지속적으로 수행하고 있다. 효율적인 장비 운영·관리를 위해서는 반도체 생산장비와 운영(제어)시스템간 또는 반도체 생산장비간의 데이터 통신 네트워크 성능은 매우 높아야 한다. 특히 차세대 반도체 웨이퍼인 450mm 웨이퍼 생산체제로 전환 시, 생산장비와 운영(제어)시스템에서 발생하는 다양한 형태의 대용량 데이터를 안정적으로 수집·관리하고, 이를 제어하기 위한 시스템을 구축하는데 많은 노력을 기울이고 있다. 따라서 본 연구에서는 반도체 장비 데이터 통신 네트워크의 성능을 나타내는 여섯 가지 지표와 이러한 지표들에 영향을 미치는 세 가지 운영 변수들을 고려하여 통신 네트워크의 성능지표와 운영 변수들의 관계를 통계적으로 모형화한 후, 만족도 함수 최적화기법과 여러 탐색적 알고리즘들을 이용하여 통신 네트워크 성능을 평가하고 이를 통해 효과적인 네트워크 운영방안을 제시하고자 한다.
Abstract
In semiconductor industries, in order to improve productivity and yield, and also to minimize the production cost, it is necessary to develop effective operation and control techniques as well as to develop noble process technologies. So, semiconductor industries are carrying out diverse activities consistently for managing semiconductor process equipment efficiently. For efficient operation and control of semiconductor process equipment, performance of the data communication network between process equipment and the corresponding operating system or among process equipment must be highly excellent. In particular, when moving toward 450mm wafer fabrication system, semiconductor industries are trying to construct an organized system that collects and controls various and big-sized data generated from both equipment and operating system stably. Thus, in this research, after statistically modeling the relationship between key performance factors of communication network in semiconductor manufacturing system and operating parameters which influence key performance factors, we evaluate the performance of communication network and then propose effective network operating strategy using both desirability function optimization method and efficient heuristic algorithms.
참고문헌 (30)
- 박유진, "반도체 플라즈마 증착공정장비에서의 효율적인 장비 운영 알고리즘에 관한 연구", 한국생산관리학회지, 24(1), pp.133~147 (2013), 한국생산관리학회
- 최유준, "병렬설비를 가지는 열처리공정에서의 배치일정계획 수립 연구", 한국생산관리학회지, 22(4), pp.451~467 (2011), 한국생산관리학회
- 허선, "반도체 클러스터 장비에서 웨이퍼 이동지연을 허용하는 스케줄링 방법", 한국생산관리학회지, 22(4), pp.417~430 (2011), 한국생산관리학회
- Anandarajah, V., "Precise Time Synchronization in Semiconductor Manufacturing", Proceedings of the International IEEE Symposium on Precision Clock Synchronization (ISPCS) for Measurement, Control and Communication, pp.78~84 (2007)
- Cohen, J. L., "Multiobjective Programming and planning" (1978), Academic Press
- Derringer, G., "A Balancing Act : Optimizing a Product’s Properties", Quality Progress, 27(6), pp.51~58 (1994)
- Derringer, G., "Simultaneous Optimization of Several Response Variables", Journal of Quality Technology, 12(4), pp.214~219 (1980)
- 450mm Industry Briefing, "ISMI 300 Prime", pp.2006, Draina, J.
- Glover, F., "Future Paths for Integer Programming and Links to Artificial Intelligence", Computers and Operations Research, 13(5), pp.533~549 (1986)
- Glover, F., "Tabu Search-Part I", ORSA Journal on Computing, 1(3), pp.190~206 (1989)
- Glover, F., "Tabu Search-Part II", ORSA Journal on Computing, 2(1), pp.4~32 (1990)
- Glover, F., "Tabu Search" (1997), Kluwer Academic Publishers
- Glover, F., "A User’s Guide to Tabu Search", Annals of Operations Research, 41(1), pp.3~28 (1993)
- Goldberg, D. E., "Genetic Algorithms in Search, Optimization, and Machine Learning" (1989), Addison-Wesley
- Grandhi, R. V., "Multiobjective Optimization of Large-Scale Structures", AIAA Journal, 31(7), pp.1329~1337 (1993)
- Hajela, P., "Multiobjective Optimum Design in Mixed Integer and Discrete Design Variable Problems", AIAA Journal, 28(4), pp.670~675 (1990)
- Hansen, M. P., "Tabu Search for Multiobjective Optimization : MOTS", Proceedings of the 13th International Conference on Multiple Criteria Decision Making(MCDM), pp.574~586 (1997)
- Holland, J. H., "Adaptation in Natural and Artificial Systems" (1992), MIT Press
- Inagaki, J., "A Genetic Algorithm for Determining Multiple Routes and Its Applications", Proceedings of the IEEE International Symposium on Circuits and Systems, 6, pp.137~140 (1999)
- Kirkpatrick, S., "Optimization by Simulated Annealing", Science, 220(4598), pp.671~680 (1983)
- Li-Baboud, Y-S., "Semiconductor Manufacturing Equipment Data Acquisition Simulation for Timing Performance Analysis", Proceedings of the IEEE International Symposium on Precision Clock Synchronization for Measurement, Control and Communication, pp.77~82 (2008)
- Lounis, Z., "Multiobjective Optimization of Prestressed Concrete Structures", Journal of Structural Engineering, 119(3), pp.794~808 (1993)
- Metropolis, N., "Equation of State Calculations by Fast Computing Machines", The Journal of Chemical Physics, 21(6), pp.1087~1092 (1953)
- Myers, R. H., "Response Surface Methodology: Process and Product Optimization Using Designed Experiments" (2009), John Wiley & Sons
- Rao, S. S., "Multiobjective Optimization in Structural Design with Uncertain Parameters and Stochastic Processes", AIAA Journal, 22(11), pp.1670~1678 (1984)
- SEMATECH, "Equipment Data Acquisition (EDA) Version 0710 Guidance", ~ (2010)
- Wang, S., "Enabling Robustness and Flexibility of Equipment Data Collection through SEMI EDA Standards", Proceedings of the IEEE, 2004, 165~169
- Wohlwend, H., "Interface a Prototyping Experience Paving the Way to e-Manufacturing", Proceedings of the IEEE, 2005, 86~89
- Ye, J., "Research and Implementation of the Interface a Data Collection Management", Proceedings of the 2nd International Conference on Consumer Electronics, Communication and Networks (CECNet), pp.1996~1999 (2012)
- Zabinsky, Z. B., "Random Search Algorithms. a Book Chapter in the Wiley Encyclopedia of Operations Research and Management Science" (2009), John Wiley & Sons
