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Scheduling of Die Casting Processes Considering Power Usage

전력 사용을 고려한 다이캐스팅 공정의 스케줄링

  • Yang, Jung-Min (Department of Electrical Engineering, Catholic University of Daegu) ;
  • Park, Yong-Kuk (School of Mechanical and Automotive Engineering, Catholic University of Daegu)
  • 양정민 (대구가톨릭대학교 전자공학과) ;
  • 박용국 (대구가톨릭대학교 기계자동차공학부)
  • Received : 2012.05.17
  • Accepted : 2012.08.09
  • Published : 2012.08.31

Abstract

This paper presents a scheduling scheme for die casting processes considering power usage. The scheduling problem of a shift-based die casting process is represented by a linear programming (LP) model that maximizes the average efficiency of melting furnaces in regard of the usage of molten alloy, where the product quantities of each shift are used as primary variables. In this research, we propose a novel LP model that considers power usage of foundries. The developed LP model can derive product plans in which the expended power of a casting shift does not exceed a prescribed limit, while optimizing the efficiency of alloy usage. The simulation result of a case study demonstrates the superiority and applicability of the proposed scheme. This paper serves as a basic research on the role of foundries as an intelligent costumer in smart grid environment where the limit of power usage should be fulfilled.

본 논문은 전력 효율을 고려한 다이캐스팅 공정의 스케줄링 기법을 제안한다. 시프트(shift)마다 반복 작업하는 다이캐스팅 공정의 스케줄링 문제는 각 제품의 시프트별 생산량을 의사결정변수로 정의하여 용탕 효율을 최대화 시키는 선형계획법으로 표현 가능하다. 본 연구에서는 주조 공장의 전력 사용에 대한 제한 조건까지 고려하는 새로운 선형계획법 모델을 제시한다. 제안된 모델은 다이캐스팅 공정의 한 시프트가 소비하는 전력 사용량이 주어진 한계 전력량 범위를 넘지 않도록 하는 스케줄링 결과를 유도한다. 사례 연구를 통하여 제안된 모델의 우수성과 응용가능성을 검증한다. 본 논문은 스마트 그리드 환경에서 지능형 소비자로 분류되는 주조 공장이 전력 사용 제한 조건을 만족시켜야 하는 문제에 대한 기초 연구의 역할을 할 것이다.

Keywords

References

  1. S. Kalpakjian and S. Schmid, "Manufacturing Processes for Engineering Materials," 5th ed., Prentice Hall, New Jersey, pp. 188-189, 2008.
  2. K. Deb, A. R. Reddy, and G. Singh, "Optimal scheduling of casting sequence using genetic algorithms," Materials and Manufacturing Processes, vol. 18, no. 3, pp. 409-432, 2003. https://doi.org/10.1081/AMP-120022019
  3. R. Ruiz, F. S. Serifoglu, and T. Urlings, "Modeling realistic hybrid flexible flowshop scheduling problems," Computers & Operations Research, vol. 35, pp. 1151-1175, 2008. https://doi.org/10.1016/j.cor.2006.07.014
  4. S. W. Lin and K. C. Ying, "Applying a hybrid simulated annealing and tabu search approach to non-permutation flowshop scheduling problems," International Journal of Production Research, vol. 47, no. 5, pp. 1411-1424. 2009. https://doi.org/10.1080/00207540701484939
  5. J.-M. Yang and Y. K. Park, "Scheduling of casting in real foundries using linear programming," Proceedings of IMechE, Part B: Journal of Engineering Manufacture, vol. 223, no. 10, pp. 1351-1360, 2009. https://doi.org/10.1243/09544054JEM1557
  6. Y. K. Park and J.-M. Yang, "Enhancing the efficiency of a die casting process using scrap recycling and ingot adjustment," Proceedings of IMechE, Part B: Journal of Engineering Manufacture, vol. 225, no. 7, pp. 1105-1116, 2011. https://doi.org/10.1177/2041297510393602
  7. Y. K. Park and J.-M. Yang, "A scheme of preventing product shortage for die casting scheduling," Journal of Korea Academia Industrial Cooperation Society, vol. 12, no. 4, pp. 1565-1574, 2011. https://doi.org/10.5762/KAIS.2011.12.4.1565
  8. F. Pettersson and H. Saxen, "Model for economic optimization of iron production in the blast furnace," ISIJ International, vol. 46, pp. 1297-1305, 2006. https://doi.org/10.2355/isijinternational.46.1297
  9. J. H. Choi and C. W. Jung, "Ultra-broadband resistive power divider for smart grid application," Journal of Korea Academia Industrial Cooperation Society, vol. 12, no. 1, pp. 384-389, 2011. https://doi.org/10.5762/KAIS.2011.12.1.384
  10. G. W. Arnold, "Challenges and opportunities in smart grid: a position article," Proceedings of IEEE, vol. 99, no. 6, pp. 922-927, 2011. https://doi.org/10.1109/JPROC.2011.2125930
  11. J. H. Han and J. K. Baek, "The load forecasting in summer considering day factor," Journal of Korea Academia Industrial Cooperation Society, vol. 11, no. 8, pp. 2793-2800, 2010. https://doi.org/10.5762/KAIS.2010.11.8.2793
  12. J. Brevick, C. Mount-Campbell, and C. Mobley, Final Report on Energy Consumption of Die Casting Operations, U.S. DOE and O.S.U., p. 4, 2004.
  13. S. Massoud Amin and B. F. Wollenberg, "Toward a smart grid: power delivery for the 21st century," IEEE Power & Energy Magazine, vol. 3, no. 5, pp. 34-41, 2005.
  14. A. Vaccaro, M. Popov, D. Villacci, and V. Terzija, "An integrated framework for smart microgrids modeling, monitoring, control, communication, and verification," Proceedings of IEEE, vol. 99, no. 1, pp. 119-132, 2010.
  15. C. S. Kim and J. H. Kim, "A new market transformation policy for the mid-night demand discount program," Journal of Korean Institute of Illuminating and Electrical Installation Engineers, vol. 22, no. 2, pp. 19-25, 2008. https://doi.org/10.5207/JIEIE.2008.22.2.019
  16. Daeshin Metal. http://www.ds-al.com.