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Multi-objective outpatient scheduling in health centers considering resource constraints and service quality: a robust optimization approach

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  • J. Behnamian

    (Bu-Ali Sina University)

  • Z. Gharabaghli

    (Bu-Ali Sina University)

Abstract

Hospitals are among the largest and most sophisticated service organizations and the most critical service delivery units in the health system. Due to the high risk of hospital services, the services provided must be of acceptable quality. Also, patient scheduling and timely receiving of services in medical centers can lead to patient satisfaction. In this study, a patient admission scheduling is modeled in which it is assumed that the staff is not always available. To enhance the quality of healthcare services and increases patient satisfaction, in this research, mathematical modeling is presented, in which resource capacity and treatment sequence constraints are considered in the proposed model. Furthermore, the uncertainty in the service quality parameter is taken into account, which makes the model more realistic. In this regard, first, a robust optimization approach based on the Bertsimas and Sim model is applied. Then, due to its Np-hardness, the multi-objective particle swarm optimization algorithm is proposed. Finally, the quality of the proposed algorithm is examined by comparing its results with the GAMS solver and the NSGA-II algorithm in small and large-size instances, respectively. Results indicate the proper performance of the proposed algorithm.

Suggested Citation

  • J. Behnamian & Z. Gharabaghli, 2023. "Multi-objective outpatient scheduling in health centers considering resource constraints and service quality: a robust optimization approach," Journal of Combinatorial Optimization, Springer, vol. 45(2), pages 1-35, March.
    • Handle: RePEc:spr:jcomop:v:45:y:2023:i:2:d:10.1007_s10878-023-01000-1
    DOI: 10.1007/s10878-023-01000-1
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    References listed on IDEAS

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    1. Christiane Barz & Kumar Rajaram, 2015. "Elective Patient Admission and Scheduling under Multiple Resource Constraints," Production and Operations Management, Production and Operations Management Society, vol. 24(12), pages 1907-1930, December.
    2. Huiqiao Su & Guohua Wan & Shan Wang, 2019. "Online scheduling for outpatient services with heterogeneous patients and physicians," Journal of Combinatorial Optimization, Springer, vol. 37(1), pages 123-149, January.
    3. Lili Liu & Guochun Tang & Baoqiang Fan & Xingpeng Wang, 2015. "Two-person cooperative games on scheduling problems in outpatient pharmacy dispensing process," Journal of Combinatorial Optimization, Springer, vol. 30(4), pages 938-948, November.
    4. Wang, Yu & Zhang, Yu & Tang, Jiafu, 2019. "A distributionally robust optimization approach for surgery block allocation," European Journal of Operational Research, Elsevier, vol. 273(2), pages 740-753.
    5. A. G. Leeftink & I. M. H. Vliegen & E. W. Hans, 2019. "Stochastic integer programming for multi-disciplinary outpatient clinic planning," Health Care Management Science, Springer, vol. 22(1), pages 53-67, March.
    6. A. Ben-Tal & A. Nemirovski, 1998. "Robust Convex Optimization," Mathematics of Operations Research, INFORMS, vol. 23(4), pages 769-805, November.
    7. Xuanzhu Fan & Jiafu Tang & Chongjun Yan & Hainan Guo & Zhongfa Cao, 2021. "Outpatient appointment scheduling problem considering patient selection behavior: data modeling and simulation optimization," Journal of Combinatorial Optimization, Springer, vol. 42(4), pages 677-699, November.
    8. Ying Yang & Shoucheng Luo & Jing Fan & Xinye Zhou & Chunyu Fu & Guochun Tang, 2019. "Study on specialist outpatient matching appointment and the balance matching model," Journal of Combinatorial Optimization, Springer, vol. 37(1), pages 20-39, January.
    9. Shehadeh, Karmel S. & Cohn, Amy E.M. & Jiang, Ruiwei, 2020. "A distributionally robust optimization approach for outpatient colonoscopy scheduling," European Journal of Operational Research, Elsevier, vol. 283(2), pages 549-561.
    10. Maiyar, Lohithaksha M & Thakkar, Jitesh J, 2019. "Environmentally conscious logistics planning for food grain industry considering wastages employing multi objective hybrid particle swarm optimization," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 127(C), pages 220-248.
    11. Shoshana Hahn-Goldberg & Michael Carter & J. Beck & Maureen Trudeau & Philomena Sousa & Kathy Beattie, 2014. "Dynamic optimization of chemotherapy outpatient scheduling with uncertainty," Health Care Management Science, Springer, vol. 17(4), pages 379-392, December.
    12. Nikky Kortbeek & M. F. van der Velde & N. Litvak, 2017. "Organizing multidisciplinary care for children with neuromuscular diseases at the Academic Medical Center, Amsterdam," Health Systems, Taylor & Francis Journals, vol. 6(3), pages 209-225, November.
    13. Bowen Jiang & Jiafu Tang & Chongjun Yan, 2019. "A comparison of fixed and variable capacity-addition policies for outpatient capacity allocation," Journal of Combinatorial Optimization, Springer, vol. 37(1), pages 150-182, January.
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    Cited by:

    1. Setareh Boshrouei Shargh & Mostafa Zandieh & Ashkan Ayough & Farbod Farhadi, 2024. "Scheduling in services: a review and bibliometric analysis," Operations Management Research, Springer, vol. 17(2), pages 754-783, June.

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