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Published in: Health and Technology 3/2021

10-04-2021 | Review Paper

Healthcare scheduling in optimization context: a review

Authors: Zahraa A. Abdalkareem, Amiza Amir, Mohammed Azmi Al-Betar, Phaklen Ekhan, Abdelaziz I. Hammouri

Published in: Health and Technology | Issue 3/2021

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Abstract

This paper offers a summary of the latest studies on healthcare scheduling problems including patients’ admission scheduling problem, nurse scheduling problem, operation room scheduling problem, surgery scheduling problem and other healthcare scheduling problems. The paper provides a comprehensive survey on healthcare scheduling focuses on the recent literature. The development of healthcare scheduling research plays a critical role in optimizing costs and improving the patient flow, providing prompt administration of treatment, and the optimal use of the resources provided and accessible in the hospitals. In the last decades, the healthcare scheduling methods that aim to automate the search for optimal resource management in hospitals by using metaheuristics methods have proliferated. However, the reported results are disintegrated since they solved every specific problem independently, given that there are many versions of problem definition and various data sets available for each of these problems. Therefore, this paper integrates the existing results by performing a comprehensive review and analyzing 190 articles based on four essential components in solving optimization problems: problem definition, formulations, data sets, and methods. This paper summarizes the latest healthcare scheduling problems focusing on patients’ admission scheduling problems, nurse scheduling problems, and operation room scheduling problems considering these are the most common issues found in the literature. Furthermore, this review aims to help researchers to highlight some development from the most recent papers and grasp the new trends for future directions.

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Literature
1.
go back to reference Fei H, Meskens N, Chu C. A planning and scheduling problem for an operating theatre using an open scheduling strategy. Comp Industrial Eng. 2010;58(2):221–30.CrossRef Fei H, Meskens N, Chu C. A planning and scheduling problem for an operating theatre using an open scheduling strategy. Comp Industrial Eng. 2010;58(2):221–30.CrossRef
3.
go back to reference Batun S, Begen MA. Optimization in healthcare delivery modeling: Methods and applications. In Handbook of Healthcare Operations Management, pages 75–119. Springer, 2013. Batun S, Begen MA. Optimization in healthcare delivery modeling: Methods and applications. In Handbook of Healthcare Operations Management, pages 75–119. Springer, 2013.
4.
go back to reference Oueida S. Modeling a New Computer Framework for Managing Healthcare Organizations: Balancing and Optimizing Patient Satisfaction, Owner Satisfaction, and Medical Resources. CRC Press; 2020. Oueida S. Modeling a New Computer Framework for Managing Healthcare Organizations: Balancing and Optimizing Patient Satisfaction, Owner Satisfaction, and Medical Resources. CRC Press; 2020.
5.
go back to reference Hall RW, et al. Handbook of healthcare system scheduling. Springer; 2012. Hall RW, et al. Handbook of healthcare system scheduling. Springer; 2012.
6.
go back to reference Gupta D, Denton B. Appointment scheduling in health care: Challenges and opportunities. IIE transactions. 2008;40(9):800–19.CrossRef Gupta D, Denton B. Appointment scheduling in health care: Challenges and opportunities. IIE transactions. 2008;40(9):800–19.CrossRef
7.
go back to reference Rinder MM, Weckman G, Schwerha D, Snow A, Dreher PA, Park N, Paschold H, and Young W. Healthcare scheduling by data mining: Literature review and future directions. J Healthcare Eng, 3, 2012. Rinder MM, Weckman G, Schwerha D, Snow A, Dreher PA, Park N, Paschold H, and Young W. Healthcare scheduling by data mining: Literature review and future directions. J Healthcare Eng, 3, 2012.
8.
go back to reference Marynissen J, Demeulemeester E. Literature review on integrated hospital scheduling problems. KU Leuven, Faculty of Economics and Business, KBI_1627, 2016. Marynissen J, Demeulemeester E. Literature review on integrated hospital scheduling problems. KU Leuven, Faculty of Economics and Business, KBI_1627, 2016.
9.
go back to reference Van den Bergh J, Beliën J, De Bruecker P, Demeulemeester E, De Boeck L. Personnel scheduling: A literature review. Euro J Oper Res. 2013;226(3):367–85.MathSciNetMATHCrossRef Van den Bergh J, Beliën J, De Bruecker P, Demeulemeester E, De Boeck L. Personnel scheduling: A literature review. Euro J Oper Res. 2013;226(3):367–85.MathSciNetMATHCrossRef
10.
go back to reference Rahimi I, and Gandomi AH. A comprehensive review and analysis of operating room and surgery scheduling. Arch Comp Methods in Eng. 2020. Rahimi I, and Gandomi AH. A comprehensive review and analysis of operating room and surgery scheduling. Arch Comp Methods in Eng. 2020.
11.
go back to reference Zhu S, Fan W, Yang S, Pei J, Pardalos PM. Operating room planning and surgical case scheduling: a review of literature. J Combi Opt. 2019;37(3):757–805.MathSciNetMATHCrossRef Zhu S, Fan W, Yang S, Pei J, Pardalos PM. Operating room planning and surgical case scheduling: a review of literature. J Combi Opt. 2019;37(3):757–805.MathSciNetMATHCrossRef
12.
go back to reference Ahmadi-Javid A, Jalali Z, Klassen KJ. Outpatient appointment systems in healthcare: A review of optimization studies. Euro J Oper Res. 2017;258(1):3–34.MathSciNetMATHCrossRef Ahmadi-Javid A, Jalali Z, Klassen KJ. Outpatient appointment systems in healthcare: A review of optimization studies. Euro J Oper Res. 2017;258(1):3–34.MathSciNetMATHCrossRef
13.
go back to reference Ceschia S, Schaerf A. Modeling and solving the dynamic patient admission scheduling problem under uncertainty. Artif Intell Med. 2012;56(3):199–205.CrossRef Ceschia S, Schaerf A. Modeling and solving the dynamic patient admission scheduling problem under uncertainty. Artif Intell Med. 2012;56(3):199–205.CrossRef
14.
go back to reference Lusby RM, Schwierz M, Range TM, Larsen J. An adaptive large neighborhood search procedure applied to the dynamic patient admission scheduling problem. Artif Intell Med. 2016;74:21–31.CrossRef Lusby RM, Schwierz M, Range TM, Larsen J. An adaptive large neighborhood search procedure applied to the dynamic patient admission scheduling problem. Artif Intell Med. 2016;74:21–31.CrossRef
15.
go back to reference Bilgin B, Demeester P, Misir M, Vancroonenburg W, Berghe GV. One hyper-heuristic approach to two timetabling problems in health care. J Heuristics. 2012;18(3):401–34.CrossRef Bilgin B, Demeester P, Misir M, Vancroonenburg W, Berghe GV. One hyper-heuristic approach to two timetabling problems in health care. J Heuristics. 2012;18(3):401–34.CrossRef
16.
go back to reference Demeester P, de Causmaecker P, and Vanden Berghe G. Applying a local search algorithm to automatically assign patients to beds. In Proceedings of the 22nd conference on quantitative methods for decision making (Orbel 22), pages 35–36, 2008. Demeester P, de Causmaecker P, and Vanden Berghe G. Applying a local search algorithm to automatically assign patients to beds. In Proceedings of the 22nd conference on quantitative methods for decision making (Orbel 22), pages 35–36, 2008.
17.
go back to reference Demeester P, Souffriau W, De Causmaecker P, Berghe GV. A hybrid tabu search algorithm for automatically assigning patients to beds. Artif Intell Med. 2010;48(1):61–70.CrossRef Demeester P, Souffriau W, De Causmaecker P, Berghe GV. A hybrid tabu search algorithm for automatically assigning patients to beds. Artif Intell Med. 2010;48(1):61–70.CrossRef
18.
go back to reference Ceschia S, Schaerf A. Dynamic patient admission scheduling with operating room constraints, flexible horizons, and patient delays. J Sched. 2016;19(4):377–89.MathSciNetMATHCrossRef Ceschia S, Schaerf A. Dynamic patient admission scheduling with operating room constraints, flexible horizons, and patient delays. J Sched. 2016;19(4):377–89.MathSciNetMATHCrossRef
19.
go back to reference Sigurpalsson AO, Runarsson TP, and Saemundsson RJ. Stochastic master surgical scheduling under ward uncertainty. In International Conference on Human-Centred Software Engineering, pages 163–176. Springer, 2019. Sigurpalsson AO, Runarsson TP, and Saemundsson RJ. Stochastic master surgical scheduling under ward uncertainty. In International Conference on Human-Centred Software Engineering, pages 163–176. Springer, 2019.
20.
go back to reference Ceschia S, Schaerf A. Local search and lower bounds for the patient admission scheduling problem. Comp Operations Res. 2011;38(10):1452–63.MathSciNetMATHCrossRef Ceschia S, Schaerf A. Local search and lower bounds for the patient admission scheduling problem. Comp Operations Res. 2011;38(10):1452–63.MathSciNetMATHCrossRef
21.
go back to reference Vancroonenburg W, de Causmaecker P, and Vanden Berghe G. Patient-to-room assignment planning in a dynamic context. In Proceedings of the 9th International Conference on the Practice and Theory of Automated Timetabling (PATAT-2012), pages 193–208. Citeseer, 2012. Vancroonenburg W, de Causmaecker P, and Vanden Berghe G. Patient-to-room assignment planning in a dynamic context. In Proceedings of the 9th International Conference on the Practice and Theory of Automated Timetabling (PATAT-2012), pages 193–208. Citeseer, 2012.
22.
go back to reference Granja C, Almada-Lobo B, Janela F, Seabra J, Mendes A. An optimization based on simulation approach to the patient admission scheduling problem using a linear programing algorithm. J Biomed info. 2014;52:427–37.CrossRef Granja C, Almada-Lobo B, Janela F, Seabra J, Mendes A. An optimization based on simulation approach to the patient admission scheduling problem using a linear programing algorithm. J Biomed info. 2014;52:427–37.CrossRef
23.
go back to reference Hammouri AI, and Alrifai B. Investigating biogeography-based optimisation for patient admission scheduling problems. J Theo Appl Info Tech. 70(3), 2014. Hammouri AI, and Alrifai B. Investigating biogeography-based optimisation for patient admission scheduling problems. J Theo Appl Info Tech. 70(3), 2014.
24.
go back to reference Range TM, Lusby RM, Larsen J. A column generation approach for solving the patient admission scheduling problem. Euro J Oper Res. 2014;235(1):252–64.MATHCrossRef Range TM, Lusby RM, Larsen J. A column generation approach for solving the patient admission scheduling problem. Euro J Oper Res. 2014;235(1):252–64.MATHCrossRef
25.
go back to reference Kifah S, Abdullah S. An adaptive non-linear great deluge algorithm for the patient-admission problem. Info Sci. 2015;295:573–85.MathSciNetCrossRef Kifah S, Abdullah S. An adaptive non-linear great deluge algorithm for the patient-admission problem. Info Sci. 2015;295:573–85.MathSciNetCrossRef
26.
go back to reference Vancroonenburg W, De Causmaecker P, Berghe GV. A study of decision support models for online patient-to-room assignment planning. Ann Oper Res. 2016;239(1):253–71.MathSciNetMATHCrossRef Vancroonenburg W, De Causmaecker P, Berghe GV. A study of decision support models for online patient-to-room assignment planning. Ann Oper Res. 2016;239(1):253–71.MathSciNetMATHCrossRef
27.
go back to reference Turhan AM, Bilgen B. Mixed integer programming based heuristics for the patient admission scheduling problem. Comp Oper Res. 2017;80:38–49.MathSciNetMATHCrossRef Turhan AM, Bilgen B. Mixed integer programming based heuristics for the patient admission scheduling problem. Comp Oper Res. 2017;80:38–49.MathSciNetMATHCrossRef
28.
go back to reference Guido R, Solina V, Mirabelli G, and Conforti D. Offline patient admission, room and surgery scheduling problems. In New Trends in Emerging Complex Real Life Problems, pages 275–283. Springer, 2018. Guido R, Solina V, Mirabelli G, and Conforti D. Offline patient admission, room and surgery scheduling problems. In New Trends in Emerging Complex Real Life Problems, pages 275–283. Springer, 2018.
29.
go back to reference Guido R, Groccia MC, Conforti D. An efficient matheuristic for offline patient-to-bed assignment problems. Euro J Oper Res. 2018. Guido R, Groccia MC, Conforti D. An efficient matheuristic for offline patient-to-bed assignment problems. Euro J Oper Res. 2018.
30.
go back to reference Bolaji AL, Bamigbola AF, Shola PB. Late acceptance hill climbing algorithm for solving patient admission scheduling problem. Knowledge-Based Systems. 2018;145:197–206.CrossRef Bolaji AL, Bamigbola AF, Shola PB. Late acceptance hill climbing algorithm for solving patient admission scheduling problem. Knowledge-Based Systems. 2018;145:197–206.CrossRef
31.
go back to reference Doush IA, Al-Betar MA, Awadallah MA, Hammouri AI, Raed M, ElMustafa S, and ALkhraisat H. Harmony search algorithm for patient admission scheduling problem. J Intel Sys, 2018;29(1):540–553. Doush IA, Al-Betar MA, Awadallah MA, Hammouri AI, Raed M, ElMustafa S, and ALkhraisat H. Harmony search algorithm for patient admission scheduling problem. J Intel Sys, 2018;29(1):540–553.
32.
go back to reference Bastos LS, Marchesi JF, Hamacher S, Fleck JL. A mixed integer programming approach to the patient admission scheduling problem. Euro J Operational Res. 2019;273(3):831–40.MathSciNetMATHCrossRef Bastos LS, Marchesi JF, Hamacher S, Fleck JL. A mixed integer programming approach to the patient admission scheduling problem. Euro J Operational Res. 2019;273(3):831–40.MathSciNetMATHCrossRef
33.
go back to reference Hammouri AI. A modified biogeography-based optimization algorithm with guided bed selection mechanism for patient admission scheduling problems. J King Saud Univ-Comp Info Sci, 2020. Hammouri AI. A modified biogeography-based optimization algorithm with guided bed selection mechanism for patient admission scheduling problems. J King Saud Univ-Comp Info Sci, 2020.
34.
go back to reference Zhu YH, Toffolo TA, Vancroonenburg W, Berghe GV. Compatibility of short and long term objectives for dynamic patient admission scheduling. Comp Operations Res. 2019;104:98–112.MathSciNetMATHCrossRef Zhu YH, Toffolo TA, Vancroonenburg W, Berghe GV. Compatibility of short and long term objectives for dynamic patient admission scheduling. Comp Operations Res. 2019;104:98–112.MathSciNetMATHCrossRef
35.
go back to reference Diamant A, Milner J, Quereshy F. Dynamic patient scheduling for multi-appointment health care programs. Prod Operations Manage. 2018;27(1):58–79.CrossRef Diamant A, Milner J, Quereshy F. Dynamic patient scheduling for multi-appointment health care programs. Prod Operations Manage. 2018;27(1):58–79.CrossRef
36.
go back to reference Zhu S, Fan W, Liu T, Yang S, Pardalos PM. Dynamic three-stage operating room scheduling considering patient waiting time and surgical overtime costs. J Combinatorial Opt. 2020;39(1):185–215.MathSciNetMATHCrossRef Zhu S, Fan W, Liu T, Yang S, Pardalos PM. Dynamic three-stage operating room scheduling considering patient waiting time and surgical overtime costs. J Combinatorial Opt. 2020;39(1):185–215.MathSciNetMATHCrossRef
37.
go back to reference Ernst AT, Jiang H, Krishnamoorthy M, Sier D. Staff scheduling and rostering: A review of applications, methods and models. Euro J Operational Res. 2004;153(1):3–27.MathSciNetMATHCrossRef Ernst AT, Jiang H, Krishnamoorthy M, Sier D. Staff scheduling and rostering: A review of applications, methods and models. Euro J Operational Res. 2004;153(1):3–27.MathSciNetMATHCrossRef
38.
39.
go back to reference Awadallah MA, Khader AT, Al-Betar MA, Bolaji AL. Global best harmony search with a new pitch adjustment designed for nurse rostering. J King Saud Univ Comp Info Sci. 2013;25(2):145–62. Awadallah MA, Khader AT, Al-Betar MA, Bolaji AL. Global best harmony search with a new pitch adjustment designed for nurse rostering. J King Saud Univ Comp Info Sci. 2013;25(2):145–62.
40.
go back to reference F. Della Croce and F. Salassa. A variable neighborhood search based matheuristic for nurse rostering problems. Ann Oper Res. 218(1):185–199, 2014. F. Della Croce and F. Salassa. A variable neighborhood search based matheuristic for nurse rostering problems. Ann Oper Res. 218(1):185–199, 2014.
41.
go back to reference Haspeslagh S, De Causmaecker P, Schaerf A, Stølevik M. The first international nurse rostering competition 2010. Ann Oper Res. 2014;218(1):221–36.MathSciNetMATHCrossRef Haspeslagh S, De Causmaecker P, Schaerf A, Stølevik M. The first international nurse rostering competition 2010. Ann Oper Res. 2014;218(1):221–36.MathSciNetMATHCrossRef
42.
go back to reference McCollum B, Schaerf A, Paechter B, McMullan P, Lewis R, Parkes AJ, Gaspero LD, Qu R, Burke EK. Setting the research agenda in automated timetabling: The second international timetabling competition. Info J Comp. 2010;22(1):120–30.MATHCrossRef McCollum B, Schaerf A, Paechter B, McMullan P, Lewis R, Parkes AJ, Gaspero LD, Qu R, Burke EK. Setting the research agenda in automated timetabling: The second international timetabling competition. Info J Comp. 2010;22(1):120–30.MATHCrossRef
43.
go back to reference Pillay N, and Qu R. Nurse rostering problems. In Hyper-Heuristics: Theory and Applications, 2018;61–66. Springer. Pillay N, and Qu R. Nurse rostering problems. In Hyper-Heuristics: Theory and Applications, 2018;61–66. Springer.
44.
go back to reference Smet P. Nurse rostering: models and algorithms for theory, practice and integration with other problems. 2015. Smet P. Nurse rostering: models and algorithms for theory, practice and integration with other problems. 2015.
45.
go back to reference Rajeswari M, Amudhavel J, Pothula S, Dhavachelvan P. Directed bee colony optimization algorithm to solve the nurse rostering problem. Comp Intell Neurosci. 2017;2017: Rajeswari M, Amudhavel J, Pothula S, Dhavachelvan P. Directed bee colony optimization algorithm to solve the nurse rostering problem. Comp Intell Neurosci. 2017;2017:
46.
go back to reference Awadallah MA, Al-Betar MA, Khader AT, Bolaji AL, Alkoffash M. Hybridization of harmony search with hill climbing for highly constrained nurse rostering problem. Neural Comp Appl. 2017;28(3):463–82.CrossRef Awadallah MA, Al-Betar MA, Khader AT, Bolaji AL, Alkoffash M. Hybridization of harmony search with hill climbing for highly constrained nurse rostering problem. Neural Comp Appl. 2017;28(3):463–82.CrossRef
47.
go back to reference Awadallah MA, Bolaji AL, Al-Betar MA. A hybrid artificial bee colony for a nurse rostering problem. Appl Soft Comp. 2015;35:726–39.CrossRef Awadallah MA, Bolaji AL, Al-Betar MA. A hybrid artificial bee colony for a nurse rostering problem. Appl Soft Comp. 2015;35:726–39.CrossRef
48.
go back to reference Santos HG, Toffolo TA, Gomes RA, Ribas S. Integer programming techniques for the nurse rostering problem. Ann Oper Res. 2016;239(1):225–51.MathSciNetMATHCrossRef Santos HG, Toffolo TA, Gomes RA, Ribas S. Integer programming techniques for the nurse rostering problem. Ann Oper Res. 2016;239(1):225–51.MathSciNetMATHCrossRef
49.
go back to reference Dang NTT, Ceschia S, Schaerf A, de Causmaecker P, and Haspeslagh S. Solving the multi-stage nurse rostering problem. In Proceedings of the 11th international conference of the practice and theory of automated timetabling. 2016;473–475. Dang NTT, Ceschia S, Schaerf A, de Causmaecker P, and Haspeslagh S. Solving the multi-stage nurse rostering problem. In Proceedings of the 11th international conference of the practice and theory of automated timetabling. 2016;473–475.
50.
go back to reference Mischek F, and Musliu N. Integer programming model extensions for a multi-stage nurse rostering problem. Ann Oper Res. 2017;1–21. Mischek F, and Musliu N. Integer programming model extensions for a multi-stage nurse rostering problem. Ann Oper Res. 2017;1–21.
51.
go back to reference Legrain A, Omer J, and Rosat S. A rotation-based branch-and-price approach for the nurse scheduling problem. Math Prog Comp. 2019;1–34. Legrain A, Omer J, and Rosat S. A rotation-based branch-and-price approach for the nurse scheduling problem. Math Prog Comp. 2019;1–34.
52.
go back to reference Ceschia S, Guido R, and Schaerf A. Solving the static inrc-ii nurse rostering problem by simulated annealing based on large neighborhoods. Ann Oper Res. 2020;1–19. Ceschia S, Guido R, and Schaerf A. Solving the static inrc-ii nurse rostering problem by simulated annealing based on large neighborhoods. Ann Oper Res. 2020;1–19.
53.
go back to reference Chen PS, and Zeng ZY. Developing two heuristic algorithms with metaheuristic algorithms to improve solutions of optimization problems with soft and hard constraints: An application to nurse rostering problems. Appl Soft Comp. 2020;106336. Chen PS, and Zeng ZY. Developing two heuristic algorithms with metaheuristic algorithms to improve solutions of optimization problems with soft and hard constraints: An application to nurse rostering problems. Appl Soft Comp. 2020;106336.
54.
go back to reference Turhan AM, and Bilgen B. A hybrid fix-and-optimize and simulated annealing approaches for nurse rostering problem. Comp Industrial Eng. 2020;106531. Turhan AM, and Bilgen B. A hybrid fix-and-optimize and simulated annealing approaches for nurse rostering problem. Comp Industrial Eng. 2020;106531.
55.
go back to reference Yabing N, Bing W, and Xingbao H. An adaptive method with local search for nurse rostering problem. In 2015 34th Chinese Control Conference (CCC). 2015;2726–2731. IEEE. Yabing N, Bing W, and Xingbao H. An adaptive method with local search for nurse rostering problem. In 2015 34th Chinese Control Conference (CCC). 2015;2726–2731. IEEE.
56.
go back to reference Strandmark P, Qu Y, and Curtois T. First-order linear programming in a column generation based heuristic approach to the nurse rostering problem. Comp Opera Res. 2020;104945. Strandmark P, Qu Y, and Curtois T. First-order linear programming in a column generation based heuristic approach to the nurse rostering problem. Comp Opera Res. 2020;104945.
57.
go back to reference Hadwan M, Ayob M, Rassam MA, and Hezam EA. Deluge harmony search algorithm for nurse rostering problems. In 2019 First International Conference of Intell Comp Eng (ICOICE). 2019;1–5. IEEE. Hadwan M, Ayob M, Rassam MA, and Hezam EA. Deluge harmony search algorithm for nurse rostering problems. In 2019 First International Conference of Intell Comp Eng (ICOICE). 2019;1–5. IEEE.
58.
go back to reference Vu SN, Nguyen MHN, Duc LM, Baril C, Gascon V, Dinh TB. Iterated local search in nurse rostering problem. In Proceedings of the Fourth Symposium on Info Com Tech. 2013;71–80. Vu SN, Nguyen MHN, Duc LM, Baril C, Gascon V, Dinh TB. Iterated local search in nurse rostering problem. In Proceedings of the Fourth Symposium on Info Com Tech. 2013;71–80.
59.
go back to reference Zhuo X, Huang H, Cai Z, and Hu H. An hybrid evolutionary algorithm with scout bee global search strategy for chinese nurse rostering problems. In 2015 IEEE Congress on Evolutionary Computation (CEC). 2015;769–775. IEEE. Zhuo X, Huang H, Cai Z, and Hu H. An hybrid evolutionary algorithm with scout bee global search strategy for chinese nurse rostering problems. In 2015 IEEE Congress on Evolutionary Computation (CEC). 2015;769–775. IEEE.
60.
go back to reference Arajy YZ, Abdullah S, Kifah S. Non-liner great deluge algorithm for handling nurse rostering problem. Int J Appl Eng Res. 2017;12(15):4959–66. Arajy YZ, Abdullah S, Kifah S. Non-liner great deluge algorithm for handling nurse rostering problem. Int J Appl Eng Res. 2017;12(15):4959–66.
61.
go back to reference Hadwan M, Ayob M, Al-Hagery M, and Al-Tamimi BN. Climbing harmony search algorithm for nurse rostering problems. In International Conference of Reliable Information and Communication Technology. 2018;74–83. Springer. Hadwan M, Ayob M, Al-Hagery M, and Al-Tamimi BN. Climbing harmony search algorithm for nurse rostering problems. In International Conference of Reliable Information and Communication Technology. 2018;74–83. Springer.
62.
go back to reference Ramli R, Abd Rahman R, Rohim N. A hybrid ant colony optimization algorithm for solving a highly constrained nurse rostering problem. J Info Comm Tech. 2019;18(3):305–326. Ramli R, Abd Rahman R, Rohim N. A hybrid ant colony optimization algorithm for solving a highly constrained nurse rostering problem. J Info Comm Tech. 2019;18(3):305–326.
63.
go back to reference Nie T, Wang B, and Zhang X. Hybrid harmony search algorithm for nurse rostering problem. In Harmony Search Algorithm. 2016;109–120. Springer. Nie T, Wang B, and Zhang X. Hybrid harmony search algorithm for nurse rostering problem. In Harmony Search Algorithm. 2016;109–120. Springer.
64.
go back to reference Awadallah MA, Khader AT, Al-Betar MA, and Bolaji AL. Hybrid harmony search for nurse rostering problems. In 2013 IEEE Symposium on Computational Intelligence in Scheduling (CISched), 2013;60–67. IEEE. Awadallah MA, Khader AT, Al-Betar MA, and Bolaji AL. Hybrid harmony search for nurse rostering problems. In 2013 IEEE Symposium on Computational Intelligence in Scheduling (CISched), 2013;60–67. IEEE.
65.
go back to reference Abobaker RA, Ayob M, and Hadwan M. Greedy constructive heuristic and local search algorithm for solving nurse rostering problems. In 2011 3rd Conference on Data Mining and Optimization (DMO). 2011;194–198. IEEE. Abobaker RA, Ayob M, and Hadwan M. Greedy constructive heuristic and local search algorithm for solving nurse rostering problems. In 2011 3rd Conference on Data Mining and Optimization (DMO). 2011;194–198. IEEE.
66.
go back to reference Yin PY, Chiang YT. Cyber swarm algorithms for multi-objective nurse rostering problem. Int J Innovative Comp, Info Control. 2013;9(5):2043–63. Yin PY, Chiang YT. Cyber swarm algorithms for multi-objective nurse rostering problem. Int J Innovative Comp, Info Control. 2013;9(5):2043–63.
67.
go back to reference Rae C, and Pillay N. Investigation into an evolutionary algorithm hyperheuristic for the nurse rostering problem. In Proceedings of the 10th International Conference on the Practice and Theory of Automated, PATAT, pages 527–532, 2014. Rae C, and Pillay N. Investigation into an evolutionary algorithm hyperheuristic for the nurse rostering problem. In Proceedings of the 10th International Conference on the Practice and Theory of Automated, PATAT, pages 527–532, 2014.
68.
go back to reference Wu JJ, Lin Y, Zhan ZH, Chen WN, Lin TB, and Chen JY. An ant colony optimization approach for nurse rostering problem. In 2013 IEEE International Conference on Systems, Man, and Cybernetics, pages 1672–1676. IEEE, 2013. Wu JJ, Lin Y, Zhan ZH, Chen WN, Lin TB, and Chen JY. An ant colony optimization approach for nurse rostering problem. In 2013 IEEE International Conference on Systems, Man, and Cybernetics, pages 1672–1676. IEEE, 2013.
69.
go back to reference Jin SH, Yun HY, Jeong SJ, Kim KS. Hybrid and cooperative strategies using harmony search and artificial immune systems for solving the nurse rostering problem. Sustainability. 2017;9(7):1090.CrossRef Jin SH, Yun HY, Jeong SJ, Kim KS. Hybrid and cooperative strategies using harmony search and artificial immune systems for solving the nurse rostering problem. Sustainability. 2017;9(7):1090.CrossRef
70.
go back to reference Pariente JMM. Operating theatre planning and scheduling in real-life settings: Problem analysis, models, and solution procedures. PhD thesis, Universidad de Sevilla, 2016. Pariente JMM. Operating theatre planning and scheduling in real-life settings: Problem analysis, models, and solution procedures. PhD thesis, Universidad de Sevilla, 2016.
71.
go back to reference Guerriero F, Guido R. Operational research in the management of the operating theatre: a survey. Health care management science. 2011;14(1):89–114.CrossRef Guerriero F, Guido R. Operational research in the management of the operating theatre: a survey. Health care management science. 2011;14(1):89–114.CrossRef
72.
go back to reference Cardoen B, Demeulemeester E, Beliën J. Operating room planning and scheduling: A literature review. Euro J Oper Res. 2010;201(3):921–32.MATHCrossRef Cardoen B, Demeulemeester E, Beliën J. Operating room planning and scheduling: A literature review. Euro J Oper Res. 2010;201(3):921–32.MATHCrossRef
73.
go back to reference Denton B, Viapiano J, Vogl A. Optimization of surgery sequencing and scheduling decisions under uncertainty. Health care management science. 2007;10(1):13–24.CrossRef Denton B, Viapiano J, Vogl A. Optimization of surgery sequencing and scheduling decisions under uncertainty. Health care management science. 2007;10(1):13–24.CrossRef
74.
go back to reference Levine WC, Dunn PF. Optimizing operating room scheduling. Anesthesiology clinics. 2015;33(4):697–711.CrossRef Levine WC, Dunn PF. Optimizing operating room scheduling. Anesthesiology clinics. 2015;33(4):697–711.CrossRef
75.
go back to reference Romanyuk A, Silva A. Optimization of an operating room surgical schedule. Louis: Ese. wustl. edu. Washingon University in St; 2012. Romanyuk A, Silva A. Optimization of an operating room surgical schedule. Louis: Ese. wustl. edu. Washingon University in St; 2012.
76.
go back to reference Xiang W, Yin J, Lim G. An ant colony optimization approach for solving an operating room surgery scheduling problem. Comp Industrial Eng. 2015;85:335–45.CrossRef Xiang W, Yin J, Lim G. An ant colony optimization approach for solving an operating room surgery scheduling problem. Comp Industrial Eng. 2015;85:335–45.CrossRef
77.
go back to reference Van Huele C, Vanhoucke M. Analysis of the integration of the physician rostering problem and the surgery scheduling problem. J Med Sys. 2014;38(6):43.CrossRef Van Huele C, Vanhoucke M. Analysis of the integration of the physician rostering problem and the surgery scheduling problem. J Med Sys. 2014;38(6):43.CrossRef
78.
go back to reference Roland B, Di Martinelly C, Riane F, Pochet Y. Scheduling an operating theatre under human resource constraints. Comp Industrial Eng. 2010;58(2):212–20.CrossRef Roland B, Di Martinelly C, Riane F, Pochet Y. Scheduling an operating theatre under human resource constraints. Comp Industrial Eng. 2010;58(2):212–20.CrossRef
79.
go back to reference Magerlein JM, Martin JB. Surgical demand scheduling: a review. Health services research. 1978;13(4):418. Magerlein JM, Martin JB. Surgical demand scheduling: a review. Health services research. 1978;13(4):418.
80.
go back to reference Samudra M, Van Riet C, Demeulemeester E, Cardoen B, Vansteenkiste N, Rademakers FE. Scheduling operating rooms: achievements, challenges and pitfalls. J Sched. 2016;19(5):493–525.MathSciNetMATHCrossRef Samudra M, Van Riet C, Demeulemeester E, Cardoen B, Vansteenkiste N, Rademakers FE. Scheduling operating rooms: achievements, challenges and pitfalls. J Sched. 2016;19(5):493–525.MathSciNetMATHCrossRef
81.
go back to reference Addis B, Carello G, Grosso A, Tànfani E. Operating room scheduling and rescheduling: a rolling horizon approach. Flexible Services and Manufacturing Journal. 2016;28(1–2):206–32.CrossRef Addis B, Carello G, Grosso A, Tànfani E. Operating room scheduling and rescheduling: a rolling horizon approach. Flexible Services and Manufacturing Journal. 2016;28(1–2):206–32.CrossRef
82.
go back to reference Kamran MA, Karimi B, Dellaert N. Uncertainty in advance scheduling problem in operating room planning. Comp Industrial Eng. 2018;126:252–68.CrossRef Kamran MA, Karimi B, Dellaert N. Uncertainty in advance scheduling problem in operating room planning. Comp Industrial Eng. 2018;126:252–68.CrossRef
83.
go back to reference Leeftink G, Hans EW. Case mix classification and a benchmark set for surgery scheduling. J Sched. 2018;21(1):17–33.MathSciNetCrossRef Leeftink G, Hans EW. Case mix classification and a benchmark set for surgery scheduling. J Sched. 2018;21(1):17–33.MathSciNetCrossRef
84.
go back to reference Batun S, Denton BT, Huschka TR, Schaefer AJ. Operating room pooling and parallel surgery processing under uncertainty. Info J Comp. 2011;23(2):220–37.MathSciNetMATHCrossRef Batun S, Denton BT, Huschka TR, Schaefer AJ. Operating room pooling and parallel surgery processing under uncertainty. Info J Comp. 2011;23(2):220–37.MathSciNetMATHCrossRef
85.
go back to reference Latorre-Núñez G, Lüer-Villagra A, Marianov V, Obreque C, Ramis F, Neriz L. Scheduling operating rooms with consideration of all resources, post anesthesia beds and emergency surgeries. Comp Industrial Eng. 2016;97:248–57.CrossRef Latorre-Núñez G, Lüer-Villagra A, Marianov V, Obreque C, Ramis F, Neriz L. Scheduling operating rooms with consideration of all resources, post anesthesia beds and emergency surgeries. Comp Industrial Eng. 2016;97:248–57.CrossRef
86.
go back to reference Molina-Pariente JM, Hans EW, Framinan JM. A stochastic approach for solving the operating room scheduling problem. Flex Serv Manu J. 2018;30(1–2):224–51.CrossRef Molina-Pariente JM, Hans EW, Framinan JM. A stochastic approach for solving the operating room scheduling problem. Flex Serv Manu J. 2018;30(1–2):224–51.CrossRef
87.
go back to reference Kroer LR, Foverskov K, Vilhelmsen C, Hansen AS, Larsen J. Planning and scheduling operating rooms for elective and emergency surgeries with uncertain duration. Oper Res Healthcare. 2018;19:107–19. Kroer LR, Foverskov K, Vilhelmsen C, Hansen AS, Larsen J. Planning and scheduling operating rooms for elective and emergency surgeries with uncertain duration. Oper Res Healthcare. 2018;19:107–19.
88.
89.
go back to reference Lee S, and Yih Y. Surgery scheduling of multiple operating rooms under uncertainty and resource constraints of post-anesthesia care units. In IIE Annual Conference. Proceedings, page 1. Institute of Industrial and Systems Engineers (IISE), 2012. Lee S, and Yih Y. Surgery scheduling of multiple operating rooms under uncertainty and resource constraints of post-anesthesia care units. In IIE Annual Conference. Proceedings, page 1. Institute of Industrial and Systems Engineers (IISE), 2012.
90.
go back to reference Ansarifar J, Tavakkoli-Moghaddam R, Akhavizadegan F, and Amin SH. Multi-objective integrated planning and scheduling model for operating rooms under uncertainty. Proceedings of the Institution of Mechanical Engineers, Part H: J Eng Med, 232(9):930–948, 2018. Ansarifar J, Tavakkoli-Moghaddam R, Akhavizadegan F, and Amin SH. Multi-objective integrated planning and scheduling model for operating rooms under uncertainty. Proceedings of the Institution of Mechanical Engineers, Part H: J Eng Med, 232(9):930–948, 2018.
91.
go back to reference Akbarzadeh B, Moslehi G, Reisi-Nafchi M, Maenhout B. A diving heuristic for planning and scheduling surgical cases in the operating room department with nurse re-rostering. J Sched, pages 1–24, 2020. Akbarzadeh B, Moslehi G, Reisi-Nafchi M, Maenhout B. A diving heuristic for planning and scheduling surgical cases in the operating room department with nurse re-rostering. J Sched, pages 1–24, 2020.
92.
go back to reference Varmazyar M, Akhavan-Tabatabaei R, Salmasi N, Modarres M. Operating room scheduling problem under uncertainty: Application of continuous phase-type distributions. IISE Transactions. 2020;52(2):216–35.CrossRef Varmazyar M, Akhavan-Tabatabaei R, Salmasi N, Modarres M. Operating room scheduling problem under uncertainty: Application of continuous phase-type distributions. IISE Transactions. 2020;52(2):216–35.CrossRef
93.
go back to reference Akbarzadeh B, Moslehi G, Reisi-Nafchi M, Maenhout B. The re-planning and scheduling of surgical cases in the operating room department after block release time with resource rescheduling. Euro J Oper Res. 2019;278(2):596–614.MathSciNetMATHCrossRef Akbarzadeh B, Moslehi G, Reisi-Nafchi M, Maenhout B. The re-planning and scheduling of surgical cases in the operating room department after block release time with resource rescheduling. Euro J Oper Res. 2019;278(2):596–614.MathSciNetMATHCrossRef
94.
go back to reference Ali HH, Lamsali H, Othman SN. Operating rooms scheduling for elective surgeries in a hospital affected by war-related incidents. J Med Sys. 2019;43(5):139.CrossRef Ali HH, Lamsali H, Othman SN. Operating rooms scheduling for elective surgeries in a hospital affected by war-related incidents. J Med Sys. 2019;43(5):139.CrossRef
95.
go back to reference D. Clavel, D. Botez, C. Mahulea, and J. Albareda. Software tool for operating room scheduling in a spanish hospital department. In 2018 22nd International Conference on System Theory, Control and Computing (ICSTCC), pages 413–420. IEEE, 2018. D. Clavel, D. Botez, C. Mahulea, and J. Albareda. Software tool for operating room scheduling in a spanish hospital department. In 2018 22nd International Conference on System Theory, Control and Computing (ICSTCC), pages 413–420. IEEE, 2018.
96.
go back to reference Belkhamsa M, Jarboui B, Masmoudi M. Two metaheuristics for solving no-wait operating room surgery scheduling problem under various resource constraints. Comp Ind Eng. 2018;126:494–506.CrossRef Belkhamsa M, Jarboui B, Masmoudi M. Two metaheuristics for solving no-wait operating room surgery scheduling problem under various resource constraints. Comp Ind Eng. 2018;126:494–506.CrossRef
97.
go back to reference Timuçin T, and Biroğul S. Effect the number of reservations on implementation of operating room scheduling with genetic algorithm. In The International Conference on Artificial Intelligence and Applied Mathematics in Engineering. 2019;252–265. Springer. Timuçin T, and Biroğul S. Effect the number of reservations on implementation of operating room scheduling with genetic algorithm. In The International Conference on Artificial Intelligence and Applied Mathematics in Engineering. 2019;252–265. Springer.
98.
go back to reference Khaniyev T, Kayiş E, Güllü R. Next-day operating room scheduling with uncertain surgery durations: Exact analysis and heuristics. Euro J Oper Res. 2020. Khaniyev T, Kayiş E, Güllü R. Next-day operating room scheduling with uncertain surgery durations: Exact analysis and heuristics. Euro J Oper Res. 2020.
99.
go back to reference Lin TK, and Chou YY. A hybrid genetic algorithm for operating room scheduling. Health Care Management Science, pages 1–15, 2019. Lin TK, and Chou YY. A hybrid genetic algorithm for operating room scheduling. Health Care Management Science, pages 1–15, 2019.
100.
go back to reference Timucin T, and Birogul S. Implementation of operating room scheduling with genetic algorithm and the importance of repair operator. In 2018 2nd International Symposium on Multidisciplinary Studies and Innovative Technologies (ISMSIT), pages 1–6. IEEE, 2018. Timucin T, and Birogul S. Implementation of operating room scheduling with genetic algorithm and the importance of repair operator. In 2018 2nd International Symposium on Multidisciplinary Studies and Innovative Technologies (ISMSIT), pages 1–6. IEEE, 2018.
101.
go back to reference Aringhieri R, Landa P, Soriano P, Tànfani E, Testi A. A two level metaheuristic for the operating room scheduling and assignment problem. Comp Oper Res. 2015;54:21–34.MathSciNetMATHCrossRef Aringhieri R, Landa P, Soriano P, Tànfani E, Testi A. A two level metaheuristic for the operating room scheduling and assignment problem. Comp Oper Res. 2015;54:21–34.MathSciNetMATHCrossRef
102.
go back to reference L. I. Almaneea and M. I. Hosny. A two level hybrid bees algorithm for operating room scheduling problem. In Science and Information Conference, pages 272–290. Springer, 2018. L. I. Almaneea and M. I. Hosny. A two level hybrid bees algorithm for operating room scheduling problem. In Science and Information Conference, pages 272–290. Springer, 2018.
103.
go back to reference Mateus C, Marques I, Captivo ME. Local search heuristics for a surgical case assignment problem. Oper Res Healthcare. 2018;17:71–81. Mateus C, Marques I, Captivo ME. Local search heuristics for a surgical case assignment problem. Oper Res Healthcare. 2018;17:71–81.
104.
go back to reference Gul S, Denton BT, Fowler JW, Huschka T. Bi-criteria scheduling of surgical services for an outpatient procedure center. Prod Oper Manage. 2011;20(3):406–17.CrossRef Gul S, Denton BT, Fowler JW, Huschka T. Bi-criteria scheduling of surgical services for an outpatient procedure center. Prod Oper Manage. 2011;20(3):406–17.CrossRef
105.
go back to reference Riise A, Mannino C, Burke EK. Modelling and solving generalised operational surgery scheduling problems. Comp Oper Res. 2016;66:1–11.MathSciNetMATHCrossRef Riise A, Mannino C, Burke EK. Modelling and solving generalised operational surgery scheduling problems. Comp Oper Res. 2016;66:1–11.MathSciNetMATHCrossRef
106.
go back to reference Bruni M, Beraldi P, Conforti D. A stochastic programming approach for operating theatre scheduling under uncertainty. IMA J Manage Math. 2015;26(1):99–119.MathSciNetMATHCrossRef Bruni M, Beraldi P, Conforti D. A stochastic programming approach for operating theatre scheduling under uncertainty. IMA J Manage Math. 2015;26(1):99–119.MathSciNetMATHCrossRef
107.
go back to reference Chaabane S, Meskens N, Guinet A, Laurent M. Comparison of two methods of operating theatre planning: application in belgian hospital. J Sys Sci Sys Eng. 2008;17(2):171–86.CrossRef Chaabane S, Meskens N, Guinet A, Laurent M. Comparison of two methods of operating theatre planning: application in belgian hospital. J Sys Sci Sys Eng. 2008;17(2):171–86.CrossRef
108.
go back to reference Denton BT, Miller AJ, Balasubramanian HJ, and Huschka TR. Optimal allocation of surgery blocks to operating rooms under uncertainty. Oper Res. 58(4-part-1):802–816, 2010. Denton BT, Miller AJ, Balasubramanian HJ, and Huschka TR. Optimal allocation of surgery blocks to operating rooms under uncertainty. Oper Res. 58(4-part-1):802–816, 2010.
109.
go back to reference Fei H, Chu C, Meskens N, Artiba A. Solving surgical cases assignment problem by a branch-and-price approach. Int J Prod Eco. 2008;112(1):96–108.CrossRef Fei H, Chu C, Meskens N, Artiba A. Solving surgical cases assignment problem by a branch-and-price approach. Int J Prod Eco. 2008;112(1):96–108.CrossRef
110.
go back to reference Fügener A, Hans EW, Kolisch R, Kortbeek N, Vanberkel PT. Master surgery scheduling with consideration of multiple downstream units. Euro J Oper Res. 2014;239(1):227–36.MathSciNetMATHCrossRef Fügener A, Hans EW, Kolisch R, Kortbeek N, Vanberkel PT. Master surgery scheduling with consideration of multiple downstream units. Euro J Oper Res. 2014;239(1):227–36.MathSciNetMATHCrossRef
111.
go back to reference Hans E, Wullink G, Van Houdenhoven M, Kazemier G. Robust surgery loading. Euro J Oper Res. 2008;185(3):1038–50.MATHCrossRef Hans E, Wullink G, Van Houdenhoven M, Kazemier G. Robust surgery loading. Euro J Oper Res. 2008;185(3):1038–50.MATHCrossRef
112.
go back to reference Herring WL, Herrmann JW. The single-day surgery scheduling problem: sequential decision-making and threshold-based heuristics. OR spectrum. 2012;34(2):429–59.MathSciNetMATHCrossRef Herring WL, Herrmann JW. The single-day surgery scheduling problem: sequential decision-making and threshold-based heuristics. OR spectrum. 2012;34(2):429–59.MathSciNetMATHCrossRef
113.
go back to reference Mannino C, Nilssen EJ, Nordlander TE. A pattern based, robust approach to cyclic master surgery scheduling. J Sched. 2012;15(5):553–63.MathSciNetCrossRef Mannino C, Nilssen EJ, Nordlander TE. A pattern based, robust approach to cyclic master surgery scheduling. J Sched. 2012;15(5):553–63.MathSciNetCrossRef
114.
go back to reference Marques I, Captivo ME, Pato MV. An integer programming approach to elective surgery scheduling. OR spectrum. 2012;34(2):407–27.MATHCrossRef Marques I, Captivo ME, Pato MV. An integer programming approach to elective surgery scheduling. OR spectrum. 2012;34(2):407–27.MATHCrossRef
115.
go back to reference Min D, Yih Y. An elective surgery scheduling problem considering patient priority. Comp Oper Res. 2010;37(6):1091–9.MATHCrossRef Min D, Yih Y. An elective surgery scheduling problem considering patient priority. Comp Oper Res. 2010;37(6):1091–9.MATHCrossRef
116.
go back to reference Saremi A, Jula P, ElMekkawy T, Wang GG. Appointment scheduling of outpatient surgical services in a multistage operating room department. Int J Prod Eco. 2013;141(2):646–58.CrossRef Saremi A, Jula P, ElMekkawy T, Wang GG. Appointment scheduling of outpatient surgical services in a multistage operating room department. Int J Prod Eco. 2013;141(2):646–58.CrossRef
117.
go back to reference Zhang Z, Xie X. Simulation-based optimization for surgery appointment scheduling of multiple operating rooms. IIE Transactions. 2015;47(9):998–1012.CrossRef Zhang Z, Xie X. Simulation-based optimization for surgery appointment scheduling of multiple operating rooms. IIE Transactions. 2015;47(9):998–1012.CrossRef
118.
go back to reference Bai M, Storer RH, Tonkay GL. A sample gradient-based algorithm for a multiple-or and pacu surgery scheduling problem. IISE Transactions. 2017;49(4):367–80.CrossRef Bai M, Storer RH, Tonkay GL. A sample gradient-based algorithm for a multiple-or and pacu surgery scheduling problem. IISE Transactions. 2017;49(4):367–80.CrossRef
119.
go back to reference Siqueira CL, Arruda EF, Bahiense L, Bahr GL, Motta GR. Long-term integrated surgery room optimization and recovery ward planning, with a case study in the brazilian national institute of traumatology and orthopedics (into). Euro J Oper Res. 2018;264(3):870–83.MathSciNetMATHCrossRef Siqueira CL, Arruda EF, Bahiense L, Bahr GL, Motta GR. Long-term integrated surgery room optimization and recovery ward planning, with a case study in the brazilian national institute of traumatology and orthopedics (into). Euro J Oper Res. 2018;264(3):870–83.MathSciNetMATHCrossRef
120.
go back to reference Di Martinelly C, Baptiste P, Maknoon M. An assessment of the integration of nurse timetable changes with operating room planning and scheduling. Int J Prod Res. 2014;52(24):7239–50.CrossRef Di Martinelly C, Baptiste P, Maknoon M. An assessment of the integration of nurse timetable changes with operating room planning and scheduling. Int J Prod Res. 2014;52(24):7239–50.CrossRef
121.
go back to reference May JH, Spangler WE, Strum DP, Vargas LG. The surgical scheduling problem: Current research and future opportunities. Prod Oper Manage. 2011;20(3):392–405.CrossRef May JH, Spangler WE, Strum DP, Vargas LG. The surgical scheduling problem: Current research and future opportunities. Prod Oper Manage. 2011;20(3):392–405.CrossRef
122.
go back to reference Molina-Pariente JM, Fernandez-Viagas V, Framinan JM. Integrated operating room planning and scheduling problem with assistant surgeon dependent surgery durations. Comp Industrial Eng. 2015;82:8–20.CrossRef Molina-Pariente JM, Fernandez-Viagas V, Framinan JM. Integrated operating room planning and scheduling problem with assistant surgeon dependent surgery durations. Comp Industrial Eng. 2015;82:8–20.CrossRef
123.
go back to reference Bruni R, Detti P. A flexible discrete optimization approach to the physician scheduling problem. Oper Res Healthcare. 2014;3(4):191–9. Bruni R, Detti P. A flexible discrete optimization approach to the physician scheduling problem. Oper Res Healthcare. 2014;3(4):191–9.
124.
go back to reference M. Gendreau, J. Ferland, B. Gendron, N. Hail, B. Jaumard, S. Lapierre, G. Pesant, and P. Soriano. Physician scheduling in emergency rooms. In International Conference on the Practice and Theory of Automated Timetabling, pages 53–66. Springer, 2006. M. Gendreau, J. Ferland, B. Gendron, N. Hail, B. Jaumard, S. Lapierre, G. Pesant, and P. Soriano. Physician scheduling in emergency rooms. In International Conference on the Practice and Theory of Automated Timetabling, pages 53–66. Springer, 2006.
125.
go back to reference Gunawan A, Lau HC. Master physician scheduling problem. J Oper Res Soc. 2013;64(3):410–25.CrossRef Gunawan A, Lau HC. Master physician scheduling problem. J Oper Res Soc. 2013;64(3):410–25.CrossRef
126.
go back to reference Demirbilek M, Branke J, Strauss A. Dynamically accepting and scheduling patients for home healthcare. Health care management science. 2019;22(1):140–55.CrossRef Demirbilek M, Branke J, Strauss A. Dynamically accepting and scheduling patients for home healthcare. Health care management science. 2019;22(1):140–55.CrossRef
127.
go back to reference Demirbilek M, Branke J, and Strauss AK. Home healthcare routing and scheduling of multiple nurses in a dynamic environment. Flex Services Manu J. 2019;1–28. Demirbilek M, Branke J, and Strauss AK. Home healthcare routing and scheduling of multiple nurses in a dynamic environment. Flex Services Manu J. 2019;1–28.
128.
go back to reference Restrepo MI, Rousseau LM, and Vallée J. Home healthcare integrated staffing and scheduling. Omega. 2019;102057. Restrepo MI, Rousseau LM, and Vallée J. Home healthcare integrated staffing and scheduling. Omega. 2019;102057.
129.
go back to reference Erdogan SA, Krupski TL, Lobo JM. Optimization of telemedicine appointments in rural areas. Service Science. 2018;10(3):261–76.CrossRef Erdogan SA, Krupski TL, Lobo JM. Optimization of telemedicine appointments in rural areas. Service Science. 2018;10(3):261–76.CrossRef
130.
go back to reference Gross CN, Fügener A, and Brunner JO. Online rescheduling of physicians in hospitals. Flex Services Manu J. 2017;1–33. Gross CN, Fügener A, and Brunner JO. Online rescheduling of physicians in hospitals. Flex Services Manu J. 2017;1–33.
131.
go back to reference Smalley HK, Keskinocak P, Vats A. Physician scheduling for continuity: an application in pediatric intensive care. Interfaces. 2015;45(2):133–48.CrossRef Smalley HK, Keskinocak P, Vats A. Physician scheduling for continuity: an application in pediatric intensive care. Interfaces. 2015;45(2):133–48.CrossRef
132.
go back to reference António Ferreira Rodrigues Nogueira dos Santos M, and Kurt Olof Eriksson H. Insights into physician scheduling: a case study of public hospital departments in sweden. International journal of health care quality assurance. 2014;27(2):76–90. António Ferreira Rodrigues Nogueira dos Santos M, and Kurt Olof Eriksson H. Insights into physician scheduling: a case study of public hospital departments in sweden. International journal of health care quality assurance. 2014;27(2):76–90.
133.
go back to reference Damcı-Kurt P, Zhang M, Marentay B, Govind N. Improving physician schedules by leveraging equalization: Cases from hospitals in us. Omega. 2018. Damcı-Kurt P, Zhang M, Marentay B, Govind N. Improving physician schedules by leveraging equalization: Cases from hospitals in us. Omega. 2018.
134.
go back to reference Gharbi A, Louly M, and Azaiez M. Physician scheduling using goal programming-an application to a large hospital in saudi arabia. In Control, Decision and Information Technologies (CoDIT), 2017 4th International Conference on. 2017;0922–0925. IEEE. Gharbi A, Louly M, and Azaiez M. Physician scheduling using goal programming-an application to a large hospital in saudi arabia. In Control, Decision and Information Technologies (CoDIT), 2017 4th International Conference on. 2017;0922–0925. IEEE.
136.
go back to reference Allaoua H, Borne S, Létocart L, Calvo RW. A matheuristic approach for solving a home health care problem. Electronic Notes in Discrete Mathematics. 2013;41:471–8.CrossRef Allaoua H, Borne S, Létocart L, Calvo RW. A matheuristic approach for solving a home health care problem. Electronic Notes in Discrete Mathematics. 2013;41:471–8.CrossRef
137.
go back to reference Bennett AR, Erera AL. Dynamic periodic fixed appointment scheduling for home health. IIE Trans Healthcare Sys Eng. 2011;1(1):6–19.CrossRef Bennett AR, Erera AL. Dynamic periodic fixed appointment scheduling for home health. IIE Trans Healthcare Sys Eng. 2011;1(1):6–19.CrossRef
Metadata
Title
Healthcare scheduling in optimization context: a review
Authors
Zahraa A. Abdalkareem
Amiza Amir
Mohammed Azmi Al-Betar
Phaklen Ekhan
Abdelaziz I. Hammouri
Publication date
10-04-2021
Publisher
Springer Berlin Heidelberg
Published in
Health and Technology / Issue 3/2021
Print ISSN: 2190-7188
Electronic ISSN: 2190-7196
DOI
https://doi.org/10.1007/s12553-021-00547-5

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