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Mathematical Problems in Engineering
Volume 2014 (2014), Article ID 646249, 6 pages
http://dx.doi.org/10.1155/2014/646249
Research Article

Stateless Two-Stage Multiple Criteria Scheduling in Nuclear Medicine

Shu-Yen Wan,1 Che-Yao Chang,1,2 Chun-Ling Wang,1 and Kun-Ju Lin3

1Department of Information Management, Chang Gung University, Taoyuan 333, Taiwan
2Graduate Institute of Business and Administration, Chang Gung University, Taoyuan 333, Taiwan
3Department of Nuclear Medicine, Chang Gung Memorial Hospital, Taoyuan 333, Taiwan

Received 5 October 2013; Revised 7 January 2014; Accepted 8 January 2014; Published 20 February 2014

Academic Editor: Ching-Ter Chang

Copyright © 2014 Shu-Yen Wan et al. 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. D. Delbeke and G. M. Segall, “Status of and trends in nuclear medicine in the United States,” The Journal of Nuclear Medicine, vol. 52, supplement 2, pp. 24S–28S, 2011. View at Publisher · View at Google Scholar · View at Scopus
  2. E. Pérez, L. Ntaimo, C. O. Malavé, C. Bailey, and P. McCormack, “Stochastic online appointment scheduling of multi-step sequential procedures in nuclear medicine,” Health Care Management Science, vol. 16, no. 4, pp. 281–299, 2013. View at Publisher · View at Google Scholar
  3. M. W. Carter and S. D. Lapierre, “Scheduling emergency room physicians,” Health Care Management Science, vol. 4, no. 4, pp. 347–360, 2001. View at Publisher · View at Google Scholar · View at Scopus
  4. M. A. Centeno, R. Giachetti, R. Linn, and A. M. Ismail, “A simulation-ILP based tool for scheduling ER staff,” in Proceedings of the Winter Simulation Conference (WSC '03), vol. 2, pp. 1930–1938, New Orleans, La, USA, December 2003. View at Publisher · View at Google Scholar · View at Scopus
  5. D. Gupta and B. Denton, “Appointment scheduling in health care: challenges and opportunities,” IIE Transactions, vol. 40, no. 9, pp. 800–819, 2008. View at Publisher · View at Google Scholar · View at Scopus
  6. D. Sinreich and O. Jabali, “Staggered work shifts: a way to downsize and restructure an emergency department workforce yet maintain current operational performance,” Health Care Management Science, vol. 10, no. 3, pp. 293–308, 2007. View at Publisher · View at Google Scholar · View at Scopus
  7. S. Suthummanon, V. K. Omachonu, and M. Akcin, “Applying activity-based costing to the nuclear medicine unit,” Health Services Management Research, vol. 18, no. 3, pp. 141–150, 2005. View at Publisher · View at Google Scholar · View at Scopus
  8. S. A. Erdogan and B. Denton, “Dynamic appointment scheduling of a stochastic server with uncertain demand,” INFORMS Journal on Computing, vol. 25, no. 1, pp. 116–132, 2013. View at Publisher · View at Google Scholar
  9. B. K. Mohanty and B. Bhasker, “Product classification in the Internet business—a fuzzy approach,” Decision Support Systems, vol. 38, no. 4, pp. 611–619, 2005. View at Publisher · View at Google Scholar · View at Scopus
  10. C.-T. Chang, “Binary behavior of fuzzy programming with piecewise linear membership functions,” IEEE Transactions on Fuzzy Systems, vol. 15, no. 4, pp. 710–717, 2007. View at Publisher · View at Google Scholar · View at Scopus
  11. C.-T. Chang, “Multi-choice goal programming,” Omega, vol. 35, no. 4, pp. 389–396, 2007. View at Publisher · View at Google Scholar · View at Scopus
  12. C. T. Chang, “On product classification with various membership functions and binary behaviour,” Journal of the Operational Research Society, vol. 65, no. 1, pp. 141–150, 2013. View at Publisher · View at Google Scholar
  13. C.-T. Chang, “An approximation approach for representing S-shaped membership functions,” IEEE Transactions on Fuzzy Systems, vol. 18, no. 2, pp. 412–424, 2010. View at Publisher · View at Google Scholar · View at Scopus
  14. J. M. H. Vissers, “Patient flow-based allocation of inpatient resources: a case study,” European Journal of Operational Research, vol. 105, no. 2, pp. 356–370, 1998. View at Publisher · View at Google Scholar · View at Scopus
  15. S. Vlah, Z. Lukač, and J. Pacheco, “Use of VNS heuristics for scheduling of patients in hospital,” Journal of the Operational Research Society, vol. 62, no. 7, pp. 1227–1238, 2011. View at Publisher · View at Google Scholar · View at Scopus
  16. C.-C. Chern, P.-S. Chien, and S.-Y. Chen, “A heuristic algorithm for the hospital health examination scheduling problem,” European Journal of Operational Research, vol. 186, no. 3, pp. 1137–1157, 2008. View at Publisher · View at Google Scholar · View at Scopus
  17. I. B. Vermeulen, S. M. Bohte, S. G. Elkhuizen, J. S. Lameris, P. J. M. Bakker, and J. A. la Poutré, “Adaptive optimization of hospital resource calendars,” in Artificial Intelligence in Medicine, vol. 4594 of Lecture Notes in Computer Science, pp. 305–315, 2007. View at Publisher · View at Google Scholar
  18. I. B. Vermeulen, S. M. Bohte, S. G. Elkhuizen, H. Lameris, P. J. M. Bakker, and H. la Poutré, “Adaptive resource allocation for efficient patient scheduling,” Artificial Intelligence in Medicine, vol. 46, no. 1, pp. 67–80, 2009. View at Publisher · View at Google Scholar
  19. I. B. Vermeulen, S. M. Bohte, P. A. N. Bosman, S. G. Elkhuizen, P. J. M. Bakker, and J. A. la Poutré, “Optimization of online patient scheduling with urgencies and preferences,” in Artificial Intelligence in Medicine, vol. 5651 of Lecture Notes in Computer Science, pp. 71–80, 2009. View at Publisher · View at Google Scholar
  20. L. Schrage, LINGO Release 9.0, LINDO Systems, Chicago, Ill, USA, 2004.