Job Allocation and Operation Scenario of Automated Material Handling for Cluster-Type Production System

클러스터 제조 라인의 작업할당 및 물류 운영 시나리오

  • Yoon, Hyun-Joong (Faculty of Mechanical and Automotive Engineering in Catholic University of Daegu) ;
  • Kim, Jin-Gon (Faculty of Mechanical and Automotive Engineering in Catholic University of Daegu) ;
  • Kim, Jung-Yun (Faculty of Mechanical and Automotive Engineering in Catholic University of Daegu)
  • 윤현중 (대구가톨릭대학교 기계자동차공학부) ;
  • 김진곤 (대구가톨릭대학교 기계자동차공학부) ;
  • 김정윤 (대구가톨릭대학교 기계자동차공학부)
  • Received : 2010.07.20
  • Accepted : 2010.09.09
  • Published : 2010.09.30

Abstract

Recently, to improve operating efficiency with the higher in-line rate in automated production lines, a lot of cases of grouping machines and material handling system together to form a cluster has shown frequently. This article addresses the job allocation and operation method of automated material handling for cluster-type production systems. First of all, the control problems of the automated material handling systems are classified into the control problem of inter-cluster material handling system and that of intra-cluster material handling system. Then, a distributed agent-based control scheme is proposed for the former, and an operational control procedure for the latter. Simulation experiment shows that the proposed method is efficient in reducing cycle times and improving utilization of material handling vehicles.

Keywords

References

  1. Gupta, A. K. and Sivakumar, A. I.; "Job shop scheduling techniques in semiconductor manufacturing," International Journal of Advanced Manufacturing Technology, 27(11) : 1163-1169, 2004.
  2. Gupta, A. K. and Sivakumar, A. I.; "Optimization of due-date objectives in scheduling semiconductor batch manufacturing," International Journal of Machine Tools and Manufacture, 46 : 1671-1679, 2006. https://doi.org/10.1016/j.ijmachtools.2005.08.017
  3. Kim, Y. D., Kim, J. U., Lim, S. K., and Jun, H. B.; "Due-date based scheduling and control policies in a multiproduct semiconductor wafer fabrication facility," IEEE Transactions on Semiconductor Manufacturing, 11(1) : 155-164, 1998. https://doi.org/10.1109/66.661295
  4. Kim, Y. D., Kim, J. G., Choi, B., and Kim, H. U.; "Production scheduling in a semiconductor wafer fabrication facility producing multiple product type with distinct due dates," IEEE Transactions on Robotics and Automation, 17(5) : 589-598, 2001. https://doi.org/10.1109/70.964660
  5. Lee, Y. H., Ham, M., Yoo B., and Lee J. S.; "Daily planning and scheduling system for the EDS process in a semiconductor manufacturing facility," International Journal of Advanced Manufacturing Technology, 41 : 568-579, 2009. https://doi.org/10.1007/s00170-008-1505-6
  6. Lu, S. H., Ramaswamy, D., and Kumar, P. R.; "Efficient scheduling policies to reduce mean and variance of cycle-time in semiconductor manufacturing plants," IEEE Transactions on Semiconductor Manufacturing, 7(3) : 374-388, 1994. https://doi.org/10.1109/66.311341
  7. Upasani, A. A., Uzsoy, R., and Sourirajan, K.; "A problem reduction approach for scheduling semiconductor wafer fabrication facilities," IEEE Transactions on Semiconductor Manufacturing, 19(2) : 216-225, 2006. https://doi.org/10.1109/TSM.2006.873510
  8. Uzsoy, R., Lee, C. Y., and Martin-Vega, L. A.; "A review of production planning and scheduling models in the semiconductor industry Part II : Shop-floor control," lIE Transactions, 26(5) : 44-55, 1994.
  9. Wein, L. M.; "Scheduling semiconductor wafer fabrication," IEEE Transactions on Semiconductor Manufacturing, 1(3) : 115-130, 1988. https://doi.org/10.1109/66.4384