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Mathematical Problems in Engineering
Volume 2017, Article ID 6758147, 9 pages
https://doi.org/10.1155/2017/6758147
Research Article

Integrating Preventive Maintenance Planning and Production Scheduling under Reentrant Job Shop

1School of Management, University of Shanghai for Science and Technology, Shanghai 200093, China
2Business School, Shanghai Dianji University, Shanghai 201306, China

Correspondence should be addressed to Huimin Ma; moc.361@18mham

Received 18 October 2016; Revised 2 February 2017; Accepted 7 February 2017; Published 19 March 2017

Academic Editor: Alberto Borboni

Copyright © 2017 Ruiqiu Li and Huimin Ma. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Linked References

  1. P. R. Kumar, “Re-entrant lines,” Queueing Systems. Theory and Applications, vol. 13, no. 1-3, pp. 87–110, 1993. View at Publisher · View at Google Scholar · View at Zentralblatt MATH · View at MathSciNet · View at Scopus
  2. O. B. Senties, C. Azzaro-Pantel, L. Pibouleau, and S. Domenech, “Multi-objective scheduling for semiconductor manufacturing plants,” Computers and Chemical Engineering, vol. 34, no. 4, pp. 555–566, 2010. View at Publisher · View at Google Scholar · View at Scopus
  3. S. Topaloglu and G. Kilincli, “A modified shifting bottleneck heuristic for the reentrant job shop scheduling problem with makespan minimization,” International Journal of Advanced Manufacturing Technology, vol. 44, no. 7-8, pp. 781–794, 2009. View at Publisher · View at Google Scholar · View at Scopus
  4. J. Zoghby, J. W. Barnes, and J. J. Hasenbein, “Modeling the reentrant job shop scheduling problem with setups for metaheuristic searches,” European Journal of Operational Research, vol. 167, no. 2, pp. 336–348, 2005. View at Publisher · View at Google Scholar · View at Zentralblatt MATH · View at MathSciNet · View at Scopus
  5. L. Danping and C. K. M. Lee, “A review of the research methodology for the re-entrant scheduling problem,” International Journal of Production Research, vol. 49, no. 8, pp. 2221–2242, 2011. View at Publisher · View at Google Scholar · View at Scopus
  6. J.-Y. Bang and Y.-D. Kim, “Hierarchical production planning for semiconductor wafer fabrication based on linear programming and discrete-event simulation,” IEEE Transactions on Automation Science and Engineering, vol. 7, no. 2, pp. 326–336, 2010. View at Publisher · View at Google Scholar · View at Scopus
  7. A. K. Gupta and A. I. Sivakumar, “Job shop scheduling techniques in semiconductor manufacturing,” International Journal of Advanced Manufacturing Technology, vol. 27, no. 11, pp. 1163–1169, 2006. View at Publisher · View at Google Scholar · View at Scopus
  8. L. Mönch, R. Schabacker, D. Pabst, and J. W. Fowler, “Genetic algorithm-based subproblem solution procedures for a modified shifting bottleneck heuristic for complex job shops,” European Journal of Operational Research, vol. 177, no. 3, pp. 2100–2118, 2007. View at Publisher · View at Google Scholar · View at Zentralblatt MATH · View at Scopus
  9. H. M. Ma, S. H. L. Xu, and Ch. M. Ye, “Maintenance of semiconductor manufacturing equipment based on Particle Swarm algorithm,” Industrial Engineering and Management, vol. 6, pp. 66–69, 2008. View at Google Scholar
  10. S. A. Mosley, T. Teyner, and R. M. Uzsoy, “Maintenance scheduling and staffing policies in a wafer fabrication facility,” IEEE Transactions on Semiconductor Manufacturing, vol. 11, no. 2, pp. 316–323, 1998. View at Publisher · View at Google Scholar · View at Scopus
  11. A. Davenport, “Integrated maintenance scheduling for semiconductor manufacturing,” in Integration of AI and OR Techniques in Constraint Programming for Combinatorial Optimization Problems, A. Lodi, M. Milano, and P. Toth, Eds., vol. 6140 of Lecture Notes in Computer Science, pp. 92–96, Springer, Berlin, Germany, 2010. View at Publisher · View at Google Scholar
  12. X. D. Yao, E. Fernández-Gaucherand, M. C. Fu, and S. I. Marcus, “Optimal preventive maintenance scheduling in semiconductor manufacturing,” IEEE Transactions on Semiconductor Manufacturing, vol. 17, no. 3, pp. 345–356, 2004. View at Publisher · View at Google Scholar · View at Scopus
  13. C. R. Cassady and E. Kutanoglu, “Integrating preventive maintenance planning and production scheduling for a single machine,” IEEE Transactions on Reliability, vol. 54, no. 2, pp. 304–309, 2005. View at Publisher · View at Google Scholar · View at Scopus
  14. J. M. Da and L. Y. Wang, “Integrating preventive maintenance planning and production schedulingunder the flow shop,” Machinery, vol. 50, no. 575, pp. 86–88, 2012. View at Google Scholar
  15. J. Da, L. Wang, S. Xu, and S. Zhao, “The joint optimization of the batch scheduling and the maintenance under the Flow Shop,” Science Technology and Engineering, vol. 13, no. 10, pp. 2700–2703, 2013. View at Google Scholar
  16. T. Kaihara, N. Fujii, A. Tsujibe, and Y. Nonaka, “Proactive maintenance scheduling in a re-entrant flow shop using Lagrangian decomposition coordination method,” CIRP Annals—Manufacturing Technology, vol. 59, no. 1, pp. 453–456, 2010. View at Publisher · View at Google Scholar · View at Scopus
  17. A. Berrichi, F. Yalaoui, L. Amodeo, and M. Mezghiche, “Bi-Objective Ant Colony Optimization approach to optimize production and maintenance scheduling,” Computers and Operations Research, vol. 37, no. 9, pp. 1584–1596, 2010. View at Publisher · View at Google Scholar · View at Zentralblatt MATH · View at Scopus
  18. E. Moradi, S. M. T. Fatemi Ghomi, and M. Zandieh, “Bi-objective optimization research on integrated fixed time interval preventive maintenance and production for scheduling flexible job-shop problem,” Expert Systems with Applications, vol. 38, no. 6, pp. 7169–7178, 2011. View at Publisher · View at Google Scholar · View at Scopus
  19. A. Berrichi and F. Yalaoui, “Bi objective artificial immune algorithms to the joint production scheduling and maintenance planning,” in Proceedings of the International Conference on Control, Decision and Information Technologies (CoDIT '13), pp. 810–814, IEEE, Hammamet, Tunisia, May 2013. View at Publisher · View at Google Scholar · View at Scopus
  20. O. Roux, D. Duvivier, G. Quesnel, and E. Ramat, “Optimization of preventive maintenance through a combined maintenance-production simulation model,” International Journal of Production Economics, vol. 143, no. 1, pp. 3–12, 2013. View at Publisher · View at Google Scholar · View at Scopus
  21. S. Feng, W. Hui, Y. Lei, and H. Fei, 30 Cases Analysis by Intelligent Algorithm with MATLAB, Beijing University of Aeronautics and Astronautics Press, Beijing, China, 2011.
  22. M. A. Kubzin and V. A. Strusevich, “Planning machine maintenance in two-machine shop scheduling,” Operations Research, vol. 54, no. 4, pp. 789–800, 2006. View at Publisher · View at Google Scholar · View at Zentralblatt MATH · View at Scopus
  23. G. Ji, “A survey of Genetic Algorithm,” Computer Applications and Software, vol. 21, no. 2, pp. 69–73, 2004. View at Google Scholar
  24. W. Lu and Y. Dang, “Scheduling re-entrant lines based on GA and integrated rules,” Computer Engineering, vol. 31, no. 13, pp. 186–188, 2005. View at Google Scholar · View at Scopus
  25. W.-Y. Lu and Y.-Z. Dang, “Scheduling Re-entrant lines based on GA and integrated rules,” Journal of System Simulation, vol. 17, no. 4, pp. 993–996, 2005. View at Google Scholar · View at Scopus
  26. Y. Wang, Z. Wu, and S. Yi, “Scheduling re-entrant manufacturing lines of semiconductor based on GA,” Computer Simulation, vol. 24, no. 12, pp. 247–252, 2007. View at Google Scholar
  27. B. Feng, F. Qiao, and J. Wang, “Research on scheduling approach for semiconductor wafer fab based on genetic algorithms,” Computer Engineering, vol. 31, no. 13, pp. 145–148, 2005. View at Google Scholar