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All issues Volume 55 / No 2 (March-April 2021) RAIRO-Oper. Res., 55 2 (2021) 589-610 References
Free Access
Issue
RAIRO-Oper. Res.
Volume 55, Number 2, March-April 2021
Page(s) 589 - 610
DOI https://doi.org/10.1051/ro/2021025
Published online 09 April 2021
  • Z. Ahmed, T.Y. ElMekkawy and S. Bates, Developing an efficient scheduling template of a chemotherapy treatment unit: a case study. Australas. Med. J. 4 (2011) 575–588. [PubMed] [Google Scholar]
  • M. Benzaid, N. Lahrichi and L.M. Rousseau, Chemotherapy appointment scheduling and daily outpatient-nurse assignment. Health Care Manag. Sci. 23 (2020) 34–50. [PubMed] [Google Scholar]
  • A. Condotta and N.V. Shakhlevich, Scheduling patient appointments via multilevel template: a case study in chemotherapy. Oper. Res. Health Care 3 (2014) 129–144. [Google Scholar]
  • J. Connell, Contemporary medical tourism: conceptualisation culture and commodification. Tourism Manage. 34 (2013) 1–13. [Google Scholar]
  • R. Donahue, D. Russell, C. de Riese, C. Smith, W.T.W. de Riese and A. Medway, Patients willing to wait: arrival time wait time and patient satisfaction in an ambulatory urology clinic. Urology Pract. 4 (2017) 1–6. [Google Scholar]
  • J. Framinan, J. Gupta and R. Leisten, A review and classification of heuristics for permutation flow-shop scheduling with makespan objective. J. Oper. Res. Soc. 55 (2004) 1243–1255. [Google Scholar]
  • T. Garaix, S. Rostami and X. Xie, Daily outpatient chemotherapy appointment scheduling with random deferrals. Flexible Serv. Manuf. J. 38 (2020) 1–25. [Google Scholar]
  • M.R. Garey, D.S. Johnson and D.R. Sethi, The complexity of flowshop and job shop scheduling. Math. Oper. Res. 1 (1976) 117–129. [CrossRef] [MathSciNet] [Google Scholar]
  • F. Glover, Tabu search – Part I. ORSA J. Comput. 1 (1989) 129–153. [Google Scholar]
  • R.L. Graham, E.L. Lawler, J.K. Lenstra and A. Kan, H. G. R.. Optimization and approximation in deterministic sequencing and scheduling: a survey. Ann. Discrete Math. 5 (1979) 287–326. [CrossRef] [MathSciNet] [Google Scholar]
  • C. Granja, B. Almada-Lobo, F. Janela, J. Seabra and A. Mendes, An optimization based on simulation approach to the patient admission scheduling problem using a linear programing algorithm. J. Biomed. Inf. 52 (2014) 427–437. [Google Scholar]
  • J.N.D. Gupta, Two-stage hybrid flow-shop scheduling problem. J. Oper. Res. Soc. 389 (1988) 359–364. [Google Scholar]
  • S. Hahn-Goldberg, M. Carter, J.C. Beck, M. Trudeau, P. Sousa and K. Beattie, Dynamic optimization of chemotherapy outpatient scheduling with uncertainty. Health Care Manag. Sci. 17 (2014) 379–392. [PubMed] [Google Scholar]
  • A.F. Hesaraki, N.P. Dellaert and T. de Kok, Generating outpatient chemotherapy appointment templates with balanced flowtime and makespan. Eur. J. Oper. Res. 275 (2019) 304–318. [Google Scholar]
  • L. Hopkins, R. Labonté, V. Runnels and C. Packer, Medical tourism today: What is the state of existing knowledge. J. Publ. Health Policy 31 (2010) 185–198. [Google Scholar]
  • J.A. Hoogeveen, J.K. Lenstra and B. Veltman, Preemptive scheduling in a two-stage multiprocessor flow shop is NP-hard. Eur. J. Oper. Res. 89 (1996) 172–175. [Google Scholar]
  • Y.-L. Huang, A.H. Bryce, T. Culbertson, S.L. Connor, S.A. Looker, K.M. Altman, J.G. Collins, W. Stellner, R.R. McWilliams, Moreno-Aspitia, S. Ailawadhi and R.A. Mesa, Alternative outpatient chemotherapy scheduling method to improve patient service quality and nurse satisfaction. J. Oncol. Pract. 14 (2018) 82–91. [Google Scholar]
  • Y. Huang, S. Bach and S. Looker, Chemotherapy scheduling template development using an optimization approach. Int. J. Health Care Qual. Assur. 32 (2019) 59–70. [PubMed] [Google Scholar]
  • R. Kunwar Ramesh, Medical tourism and hospitality in hospital the gaze. J. Tourism Hospitality 10 (2019) 67–123. [Google Scholar]
  • M. Laguna, J.W. Barnes and F.W. Glover, Tabu search methods for a single machine scheduling problem. J. Intell. Manuf. 2 (1991) 63–73. [Google Scholar]
  • F. Li, D. Gupta and S. Potthoff, Improving operating room schedules. Health Care Manag. Sci. 19 (2016) 261–278. [PubMed] [Google Scholar]
  • B. Liang and A. Turkcan, Acuity-based nurse assignment and patient scheduling in oncology clinics. Health Care Manag. Sci. 19 (2016) 207–226. [PubMed] [Google Scholar]
  • W.J. Mackillop, Killing time: the consequences of delays in radiotherapy. Radiother. Oncol. 84 (2007) 1–4. [PubMed] [Google Scholar]
  • K.D. Miller, R.L. Siegel, C.C. Lin, A.B. Mariotto, J.L. Kramer, J.H. Rowland, K.D. Stein, R. Alteri and A. Jemal, Cancer treatment and survivorship statistics CA: a cancer. J. Clin. 69 (2016) 363–385. [Google Scholar]
  • L. Minh-Duc, H. Minh, N. Nhat, B. Chantal, G. Viviane and D. Tien Ba, Heuristics to solve appointment scheduling in chemotherapy. In: 2015 IEEE RIVF International Conference, Can Tho, Vietnam (25–28 Jan 2015). [Google Scholar]
  • J.J. Mogaka, T.P. Mashamba-Thompson, J.M. Tsoka-Gwegweni and L.M. Mupara, Tourism and leisure effects of medical tourism on health systems in Africa. Afr. J. Hospitality 6 (2017) 1–25. [Google Scholar]
  • C. Oguz and M.F. Ercan, A genetic algorithm for hybrid flow-shop scheduling with multiprocessor tasks. J. Scheduling 8 (2005) 323–351. [Google Scholar]
  • J. Ragaz, I.A. Olivotto, J.J. Spinelli, N. Phillips, S.M. Jackson, K.S. Wilson, M.A. Knowling, C.M.L. Coppin, L. Weir, K. Gelmon, N. Le, R. Durand, A.J. Coldman and M. Manji, Locoregional radiation therapy in patients with high-risk breast cancer receiving adjuvant chemotherapy: 20-year results of the British Columbia randomized trial. J. Nat. Cancer Inst. 97 (2005) 116–126. [Google Scholar]
  • A. Ranerup, H. Zinner Henriksen and J. Hedman, An analysis of business models in Public Service Platforms. Government Inf. Q. 33 (2016) 6–14. [Google Scholar]
  • G. Ridic, S. Gleason and O. Ridic, Comparisons of health care systems in the United States, Germany and Canada. Mater. Soc. Med. 24 (2012) 112–120. [Google Scholar]
  • R. Ruiz and J.A. Vázquez-Rodríguez, The hybrid flow shop scheduling problem. Eur. J. Oper. Res. 205 (2010) 1–18. [CrossRef] [Google Scholar]
  • A. Sadki, X. Xie and F. Chauvin, Planning oncologists of ambulatory care units. Decis. Support Syst. 55 (2013) 640–649. [Google Scholar]
  • R.B. Saltman, Melting public-private boundaries in European health systems. Eur. J. Publ. Health 13 (2003) 24–29. [Google Scholar]
  • P. Santibáñez, R. Aristizabal, M.L. Puterman, V.S. Chow, W. Huang, C. Kollmannsberger, T. Nordin, N. Runzer and S. Tyldesley, Operations research methods improve chemotherapy patient appointment scheduling. Jt. Comm. J. Qual. Patient Saf. 38 (2012) 541–553. [PubMed] [Google Scholar]
  • S. Shashaani, Chemotherapy patient scheduling and uncertainty. Master thesis, Purdue University (2011). [Google Scholar]
  • S. Shahnawaz, Optimization of the patients appointments in chemotherapy treatment unit: heuristic and metaheuristic approaches. Master thesis, University of Manitoba (2012). [Google Scholar]
  • C.S. Sung and H.A. Kim, A two-stage multiple-machine assembly scheduling problem for minimizing sum of completion times. Int. J. Prod. Econ. 113 (2008) 1038–1048. [Google Scholar]
  • T. Tanaka, Infusion chair scheduling algorithms based on bin-packing heuristics. Master thesis, Binghamton University (2013). [Google Scholar]
  • A. Turkcan, B. Zeng and M. Lawley, Chemotherapy Operations Planning and Scheduling. IIE Trans. Healthc. Syst. Eng. 2 (2012) 31–49. [Google Scholar]
  • H.M. Wang, F.D. Chou, F.C. Wu and M.Y. Ku, Hybrid flow shop scheduling problems with multiprocessor tasks. Appl. Mech. Mater. 110 (2011) 3914–3921. [Google Scholar]
  • J.C. Woodall, T. Gosselin, A. Boswell, M. Murr and B.T. Denton, Improving patient access to chemotherapy treatment at Duke Cancer Institute. Interfaces 43 (2013) 449–461. [Google Scholar]
  • K.-C. Ying and S.-W. Lin, Scheduling multistage hybrid flowshops with multiprocessor tasks by an effective heuristic. Int. J. Prod. Res. 47 (2009) 3525–3538. [Google Scholar]
  • M. Yokouchi, S. Aoki, H. Sang and R. Zhao, S. Takakuwa, Operations analysis and appointment scheduling for an outpatient chemotherapy department. In: Proceedings of the 2012 Winter Simulation Conference, Berlin, Germany (February 2013) 907–918. [Google Scholar]

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