Practical setup time implementation in the roll-based manufacturing practice having print operations

인쇄공정이 있는 Roll 기반 제조업에서의 실용적 Setup Time 적용 방안

  • Bae, Jae-Ho (Department of Logistics and Distribution Information, Hyechon University) ;
  • Wang, Gi-Nam (Department of Industrial and Information Systems Engineering, Ajou University)
  • 배재호 (혜천대학 물류유통정보과) ;
  • 왕지남 (아주대학교 산업정보시스템공학과)
  • Received : 2008.05.30
  • Accepted : 2009.01.23
  • Published : 2009.03.01

Abstract

Nowadays, most of the major manufacturing companies prepare their manufacturing schedule using package based solutions. Even though the accuracy of the detail scheduling result is high at implementation, however, it is low during maintenance period. The main cause of low accuracy during maintenance period is due to difficulties in maintaining the accurate level of master data. In this paper, we propose to easily maintain setup time, which is one of the most important factors required in master data to achieve good scheduling result, after changing job. This paper is mainly focused on how to deduce the factors that influence the setup time in a roll-based manufacturing field with print operations. For this purpose, we employed rule based algorithm and applied for deciding setup time for the existing product items. Likewise, it can be applied to new items without any complex setup procedures, and, finally, it displays the result of the real setup-time and calculated setup-time.

Keywords

References

  1. Ahn, S.H. (1995),AStudy onAlgorithms tominimizeMakespan of Sequence-dependent Jobs,KORMS, 12(2), 13-35
  2. Bengu, G. (1994), A simulation based scheduler for flexible flow lines, International Journal of Production Research, 159-171 https://doi.org/10.1080/00207549408956936
  3. Gartner Research (2002), Gartner SaysWorldwide SCM New License Software Revenue Declined 21 Percent in 2002, http://www.gartner.com/press_rel
  4. Jeon, T. J.Hong, N. P., and Park, S.H. (1996), BranchMethod in the Job Shop Scheduling using discovery allocation rules,KORMS, 12(2)
  5. Kenneth, R. Baker (2000), Introduction to sequencing ad scheduling,Dartmouth College, 41-156
  6. Kim, D. W. (1991), Development of A Cement Raw Mix Automatic Control System Using A Rule Based Algorithm,Master's degree thesis, 3-48, Myungji university, Yongin
  7. Lee, S. G. and Lee, Y. H. (1999), Production Scheduling employing ERP in the make-to-ordermanufacturing system, Journal of theKorean Instituteof Industrial Engineers, 12(3), 424-426
  8. Reeves, C. R. (2003), A Genetic Algorithm for Flowshop Sequencing, Computers andOperations Research, 1995. eases/pr2003.html, 23 June
  9. Rho, I. K. and Cho, C. H. (1999), A Real-time Mixed Scheduling Algorithm in Flexible Manufacturing System, Journal of the Korean Institute of Industrial Engineers, 25, 369-381
  10. Shin, I. H. (2000), A Process Improvement and Software Development Using Time Study,Master’s degree thesis, 3-48, Ajou University, Suwon
  11. Sim, J. H. (1988), Production schedule with depleted stock research,Master’sdegree thesis, 16-44, Inha University, Incheon
  12. Song, H. S. (1995), Manufacturing system analysis using simulation methods, Industrial EngineeringMagazine, 2(2), 44-48
  13. Yoo,H.G.Kim,M. S., andKim, J. S. (1991),AStudy on the Production Planning and Scheduling Problems in FMS,Conferenceof theKoreanInstituteof Industrial Engineers