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A Review on the Effectiveness of Selective Assembly by Simulation

선택조립방식의 효율성에 대한 시뮬레이션 검토

  • Kwon, Hyuck Moo (Division of Systems Management and Engineering, Pukyong National University) ;
  • Lee, Young Jun (Division of Systems Management and Engineering, Pukyong National University) ;
  • Lee, Min Koo (Department of Information and Statistics, Chungnam National University) ;
  • Hong, Sung Hoon (Department of Industrial and Information Systems Engineering, Chonbuk National University)
  • 권혁무 (부경대학교 시스템경영공학부) ;
  • 이영준 (부경대학교 시스템경영공학부) ;
  • 이민구 (충남대학교 정보통계학과) ;
  • 홍성훈 (전북대학교 산업정보시스템공학과)
  • Received : 2017.07.26
  • Accepted : 2017.11.13
  • Published : 2017.12.31

Abstract

Purpose: This paper compares the effectiveness of typical selective assembly criteria and suggests the most promising one. Based on the result of a computer simulation, the key issues of selective assembly are examined and the best criterion is recommended from the effectiveness perspective. Methods: Using JAVA program, production of ten thousand units for each pair of components are simulated for selective assembly of the two types. And the number of mismatching and the fraction nonconforming for each criterion are determined. Results: The best match criterion appeared to be most promising from the perspectives of both mismatching and nonconforming problems. Its effectiveness appears to be also good even when the precision of one component is different from that of the other. Conclusion: For designing an optimal method for selective assembly, the best match criterion is recommendable as the base criterion.

Keywords

References

  1. Arai, T., and Takeuchi, K. 1992. "A simulation system on assembly accuracy." CIRP Annals -Manufacturing Technology 41(1):37-40. https://doi.org/10.1016/S0007-8506(07)61147-0
  2. Babu, J. R., and Asha, A. 2014. "Tolerance modelling in selective assembly for minimizing linear assembly tolerance variation and assembly cost by using Taguchi and AIS algorithm." International Journal of Advanced Manufacturing Technology 75:869-881. https://doi.org/10.1007/s00170-014-6097-8
  3. Babu, J. R., and Asha, A. 2015. "Modelling in selective assembly with symmetrical interval-based Taguchi loss function for minimizing assembly loss and clearance variation." International Journal of Manufacturing Technology and Management 29:288-308. https://doi.org/10.1504/IJMTM.2015.071223
  4. Babu, J. R., and Asha, A. 2015. "Minimizing assembly loss for a complex assembly using Taguchi's concept in selective assembly." International Journal of Productivity and Quality Management 15(3):335-356. https://doi.org/10.1504/IJPQM.2015.068473
  5. Boyer, D.E. 1984. Development and investigation of statistical selective assembly, Thesis, Oklahoma State University.
  6. Boyer, D.E., and Nazemetz, J., 1985. "Introducing statistical selective assembly -a means of producing high precision assemblies from low precision components." Annual International Industrial Engineering Conference Proceedings: 562-570.
  7. Burr, I. W. 1958. "Some theoretical and practical aspects of tolerances for mating parts," Industrial Quality Control 15:18-22.
  8. Chen, M. S. 1996. "Optimizing tolerance allocation for mechanical components correlated by selective assembly." International Journal of Advanced Manufacturing Technology 12:349-355. https://doi.org/10.1007/BF01179810
  9. Desmond, D., and Setty, C. 1962. "Simplification of selective assembly." International Journal of Production Research 1(3):3-18. https://doi.org/10.1080/00207546108943085
  10. Fang, X. D., and Zhang, Y. 1995. "A new algorithm for minimizing the surplus parts in selective assembly," Computers and Industrial Engineering 28:341-350. https://doi.org/10.1016/0360-8352(94)00183-N
  11. Jeevanantham, A. K., and Kannan, S. M. 2013. "Selective assembly to minimize clearance variation in complex assemblies using fuzzy evolutionary programming method." ARPN Journal of Engineering and Applied Sciences 8(4):280-289.
  12. Kannan, SM., Asha, A., and Jayabalan, V. 2005. "A new method in selective assembly to minimize clearance variation for a radial assembly using genetic algorithm." Quality Engineering 17(4):595-607. https://doi.org/10.1080/08982110500225398
  13. Kannan, SM, and Jayabalan, V. 2001. "A new grouping method to minimize surplus parts in selective assembly for complex assemblies." Int. J. Prod. Res. 39(9):1851-1863. https://doi.org/10.1080/00207540110035219
  14. Kannan, SM., and Jayabalan, V. 2002. "A new grouping method for minimizing the surplus parts in selective assembly." Quality Engineering 14(1):67-75. https://doi.org/10.1081/QEN-100106888
  15. Kannan, SM., Jayabalan, V., and Jeevanantham, K. 2003. "Genetic algorithm for minimizing assembly variation in selective assembly." Int. J. Prod. Res. 41(14):3301-3313. https://doi.org/10.1080/0020754031000109143
  16. Kannan, S. M., Jeevanantham, A. K., and Jayabalan, V. 2008. "Modelling and analysis of selective assembly using Taguchi's loss function," Int. J. Prod. Res. 46(15):4309-4330. https://doi.org/10.1080/00207540701241891
  17. Kwon, H.M., Kim, K., and Chandra, M.J. 1999. "An Economic Selective Assembly Procedure for Two Mating Components with Equal Variance." Naval Research Logistics 46:809-821. https://doi.org/10.1002/(SICI)1520-6750(199910)46:7<809::AID-NAV4>3.0.CO;2-Y
  18. Mansoor, E. 1961. "Selective assembly -its analysis and applications." International Journal of Production Research 1(1):13-24. https://doi.org/10.1080/00207546108943070
  19. Matsuura, S., and Shinozaki, N., 2007. "Optimal binning strategies under squared error loss in selective assembly with measurement error." Communications in Statistics- Theory and Methods 36:2863-2876. https://doi.org/10.1080/03610920701386984
  20. Matsuura, S., and Shinozaki, N., 2010. "Optimal binning strategies under squared error loss in selective assembly with a tolerance constraint." Communications in Statistics- Theory and Methods 39:592-605. https://doi.org/10.1080/03610920902763890
  21. Mease, D., Nair, V. N., and Sudjianto, A. 2004. "Selective assembly in manufacturing: statistical issues and optimal binning strategies." Technometrics 46:165-175. https://doi.org/10.1198/004017004000000185
  22. Nelson, W. 1967. "The truncated normal distribution -with applications to component sorting." Industrial Quality Control 24:261-271.
  23. Pugh, G.A. 1986. "Group formation in selective assembly." SME Ultrtech Conference Proceedings, 2.117-123.
  24. Pugh, G.A. 1986. "Partitioning for selective assembly." Computers and Industrial Engineering Conference Proceedings, 175-179.
  25. Pugh, G.A. 1992. "Selective assembly with components of dissimilar variance." Computers and Industrial Engineering 23:487-491. https://doi.org/10.1016/0360-8352(92)90167-I
  26. Rabinovich, L. A. 1968. "Improving the characteristics in selective assembly." Russian Engineering Journal 48:54-59.
  27. Rabinovich, L. A., and Kesoyan, A. G., 1980. "Investigating the rational sorting accuracy for selective assembly of precision units." Russian Engineering Journal 60(10):50-53.
  28. Rubenchik, V. Ya., Mentov, K. V., and Novikov, V. V. 1979. "Automatic sorting of rings by size prior to selective assembly." Measure Tech. 22(1):71-73. https://doi.org/10.1007/BF00821586
  29. Zhang, Y., Yin, Y., and Yang, M. 2010. "A new selective assembly approach for remanufacturing of mating parts." Proceedings of 40th International Conference on Computers and Industrial Engineering, 1-6.