IDEAS home Printed from https://ideas.repec.org/a/spr/annopr/v346y2025i2d10.1007_s10479-023-05731-6.html
   My bibliography  Save this article

Health care network design with multiple objectives and stakeholders

Author

Listed:
  • Aliakbar Hasani

    (Shahrood University of Technology)

  • Majid Eskandarpour

    (Univ. Lille, CNRS, UMR 9221 - LEM - Lille Economie Management
    LEM-CNRS 9221)

  • Dylan Jones

    (University of Portsmouth)

Abstract

This paper aims to address the problem of locating/upgrading health care facilities with appropriate service levels while considering the preferences of all stakeholders mapped across a hierarchical decision network. To this end, an extended network goal programming model is adapted to ensure that a mix of balance and optimisation is attained in order to offer the decision that best satisfies the objectives of the national health care system, which are: network coverage, service level, network cost, and social impact of health centres. In addition, due to the highly uncertain environment of the health care systems, the robust counterpart of this model using the budget-of-uncertainty approach is developed in order to analyse the health care network’s performance to deal with uncertain parameters such as the national allocated budget and social impact. Key parameters which indicate the level of non-compensation between objectives, level of non-compensation between stakeholders, and level of centralisation in the health network along with the uncertainty budget are utilised to analyse the dynamics of decision network. The effectiveness of the model is demonstrated through use of a case study. The best-worst method is used to select a number of appropriate potential projects that serve as an input for the proposed model. To highlight the practical implications, different parametric analyses under both deterministic and uncertain environments are conducted. In addition, these experiments explore the compensatory behaviour between objectives and stakeholders in the network. Finally, some managerial insights are provided arising from the analytical results.

Suggested Citation

  • Aliakbar Hasani & Majid Eskandarpour & Dylan Jones, 2025. "Health care network design with multiple objectives and stakeholders," Annals of Operations Research, Springer, vol. 346(2), pages 1027-1062, March.
  • Handle: RePEc:spr:annopr:v:346:y:2025:i:2:d:10.1007_s10479-023-05731-6
    DOI: 10.1007/s10479-023-05731-6
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10479-023-05731-6
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s10479-023-05731-6?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Chalabi, Zaid & Epstein, David & McKenna, Claire & Claxton, Karl, 2008. "Uncertainty and value of information when allocating resources within and between healthcare programmes," European Journal of Operational Research, Elsevier, vol. 191(2), pages 530-539, December.
    2. Nagurney, Anna, 2021. "Optimization of supply chain networks with inclusion of labor: Applications to COVID-19 pandemic disruptions," International Journal of Production Economics, Elsevier, vol. 235(C).
    3. Jagrič, Timotej & Brown, Christine & Boyce, Tammy & Jagrič, Vita, 2021. "The impact of the health-care sector on national economies in selected European countries," Health Policy, Elsevier, vol. 125(1), pages 90-97.
    4. Maria Bruni & Domenico Conforti & Nicola Sicilia & Sandro Trotta, 2006. "A new organ transplantation location–allocation policy: a case study of Italy," Health Care Management Science, Springer, vol. 9(2), pages 125-142, May.
    5. Elorza, María Eugenia & Moscoso, Nebel Silvana & Blanco, Anibal Manuel, 2022. "Assessing performance in health care: A mathematical programming approach for the re-design of primary health care networks," Socio-Economic Planning Sciences, Elsevier, vol. 84(C).
    6. Oddoye, J.P. & Jones, D.F. & Tamiz, M. & Schmidt, P., 2009. "Combining simulation and goal programming for healthcare planning in a medical assessment unit," European Journal of Operational Research, Elsevier, vol. 193(1), pages 250-261, February.
    7. Brailsford, Sally & Vissers, Jan, 2011. "OR in healthcare: A European perspective," European Journal of Operational Research, Elsevier, vol. 212(2), pages 223-234, July.
    8. Nida Shahid & Tim Rappon & Whitney Berta, 2019. "Applications of artificial neural networks in health care organizational decision-making: A scoping review," PLOS ONE, Public Library of Science, vol. 14(2), pages 1-22, February.
    9. Syam, Siddhartha S. & Côté, Murray J., 2010. "A location-allocation model for service providers with application to not-for-profit health care organizations," Omega, Elsevier, vol. 38(3-4), pages 157-166, June.
    10. Jones, Dylan & Florentino, Helenice & Cantane, Daniela & Oliveira, Rogerio, 2016. "An extended goal programming methodology for analysis of a network encompassing multiple objectives and stakeholders," European Journal of Operational Research, Elsevier, vol. 255(3), pages 845-855.
    11. repec:bla:glopol:v:8:y:2017:i:s2:p:76-83 is not listed on IDEAS
    12. Hanif Malekpoor & Nishikant Mishra & Sameer Kumar, 2022. "A novel TOPSIS–CBR goal programming approach to sustainable healthcare treatment," Annals of Operations Research, Springer, vol. 312(2), pages 1403-1425, May.
    13. Georgina Pujolar & Aida Oliver-Anglès & Ingrid Vargas & María-Luisa Vázquez, 2022. "Changes in Access to Health Services during the COVID-19 Pandemic: A Scoping Review," IJERPH, MDPI, vol. 19(3), pages 1-31, February.
    14. Ma, Xin & Zhao, Xue & Guo, Pengfei, 2022. "Cope with the COVID-19 pandemic: Dynamic bed allocation and patient subsidization in a public healthcare system," International Journal of Production Economics, Elsevier, vol. 243(C).
    15. Dimitris Bertsimas & Melvyn Sim, 2004. "The Price of Robustness," Operations Research, INFORMS, vol. 52(1), pages 35-53, February.
    16. Behzad Zahiri & Mir Saman Pishvaee, 2017. "Blood supply chain network design considering blood group compatibility under uncertainty," International Journal of Production Research, Taylor & Francis Journals, vol. 55(7), pages 2013-2033, April.
    17. Karatas, Mumtaz, 2021. "A dynamic multi-objective location-allocation model for search and rescue assets," European Journal of Operational Research, Elsevier, vol. 288(2), pages 620-633.
    18. Harper, P. R. & Shahani, A. K. & Gallagher, J. E. & Bowie, C., 2005. "Planning health services with explicit geographical considerations: a stochastic location-allocation approach," Omega, Elsevier, vol. 33(2), pages 141-152, April.
    19. Yashoda Devi & Sabyasachi Patra & Surya Prakash Singh, 2022. "A location-allocation model for influenza pandemic outbreaks: A case study in India," Operations Management Research, Springer, vol. 15(1), pages 487-502, June.
    20. Dylan Jones & Mehrdad Tamiz, 2010. "History and Philosophy of Goal Programming," International Series in Operations Research & Management Science, in: Practical Goal Programming, edition 1, chapter 0, pages 1-9, Springer.
    21. Romero, Carlos, 2004. "A general structure of achievement function for a goal programming model," European Journal of Operational Research, Elsevier, vol. 153(3), pages 675-686, March.
    22. Motallebi Nasrabadi, Alireza & Najafi, Mehdi & Zolfagharinia, Hossein, 2020. "Considering short-term and long-term uncertainties in location and capacity planning of public healthcare facilities," European Journal of Operational Research, Elsevier, vol. 281(1), pages 152-173.
    23. Panos Kanavos & Olivier Wouters & Aris Angelis & Panos Kanavos & Gilberto Montibeller, 2017. "Resource Allocation and Priority Setting in Health Care: A Multi-criteria Decision Analysis Problem of Value?," Global Policy, London School of Economics and Political Science, vol. 8, pages 76-83, March.
    24. Bhuvnesh Sharma & M. Ramkumar & Nachiappan Subramanian & Bharat Malhotra, 2019. "Dynamic temporary blood facility location-allocation during and post-disaster periods," Annals of Operations Research, Springer, vol. 283(1), pages 705-736, December.
    25. Schmid, Verena & Doerner, Karl F., 2010. "Ambulance location and relocation problems with time-dependent travel times," European Journal of Operational Research, Elsevier, vol. 207(3), pages 1293-1303, December.
    26. Steiner, Maria Teresinha Arns & Datta, Dilip & Steiner Neto, Pedro José & Scarpin, Cassius Tadeu & Rui Figueira, José, 2015. "Multi-objective optimization in partitioning the healthcare system of Parana State in Brazil," Omega, Elsevier, vol. 52(C), pages 53-64.
    27. Mahdi Moeini & Zied Jemai & Evren Sahin, 2015. "Location and relocation problems in the context of the emergency medical service systems: a case study," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 23(3), pages 641-658, September.
    28. S-U Rahman & D K Smith, 1999. "Deployment of rural health facilities in a developing country," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 50(9), pages 892-902, September.
    29. Mahdi Moeini & Zied Jemai & Evren Sahin, 2015. "Location and Relocation Problems in the Context of the Emergency Medical Service Systems: A Case Study," Post-Print hal-01736738, HAL.
    30. Fattahi, Mohammad & Keyvanshokooh, Esmaeil & Kannan, Devika & Govindan, Kannan, 2023. "Resource planning strategies for healthcare systems during a pandemic," European Journal of Operational Research, Elsevier, vol. 304(1), pages 192-206.
    31. Romero, Carlos, 2001. "Extended lexicographic goal programming: a unifying approach," Omega, Elsevier, vol. 29(1), pages 63-71, February.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Zarrinpoor, Naeme & Fallahnezhad, Mohammad Saber & Pishvaee, Mir Saman, 2018. "The design of a reliable and robust hierarchical health service network using an accelerated Benders decomposition algorithm," European Journal of Operational Research, Elsevier, vol. 265(3), pages 1013-1032.
    2. Benneyan, James C. & Musdal, Hande & Ceyhan, Mehmet Erkan & Shiner, Brian & Watts, Bradley V., 2012. "Specialty care single and multi-period location–allocation models within the Veterans Health Administration," Socio-Economic Planning Sciences, Elsevier, vol. 46(2), pages 136-148.
    3. Dominic J. Breuer & Khedidja Seridi & Nadia Lahrichi & Mohit Shukla & James C. Benneyan, 2022. "Robust multi-period capacity, location, and access of rural cardiovascular services under uncertainty," Flexible Services and Manufacturing Journal, Springer, vol. 34(4), pages 1013-1039, December.
    4. Bélanger, V. & Ruiz, A. & Soriano, P., 2019. "Recent optimization models and trends in location, relocation, and dispatching of emergency medical vehicles," European Journal of Operational Research, Elsevier, vol. 272(1), pages 1-23.
    5. Kamyabniya, Afshin & Noormohammadzadeh, Zohre & Sauré, Antoine & Patrick, Jonathan, 2021. "A robust integrated logistics model for age-based multi-group platelets in disaster relief operations," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 152(C).
    6. Mousazadeh, M. & Torabi, S. Ali & Pishvaee, M.S. & Abolhassani, F., 2018. "Accessible, stable, and equitable health service network redesign: A robust mixed possibilistic-flexible approach," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 111(C), pages 113-129.
    7. Sinem Savaşer & Ömer Burak Kınay & Bahar Yetis Kara & Pelin Cay, 2019. "Organ transplantation logistics: a case for Turkey," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 41(2), pages 327-356, June.
    8. Maryam Radman & Kourosh Eshghi, 2018. "Designing a multi-service healthcare network based on the impact of patients’ flow among medical services," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 40(3), pages 637-678, July.
    9. Naeem Mohseny-Tonekabony & Seyed Jafar Sadjadi & Emran Mohammadi & Mehrdad Tamiz & Dylan F. Jones, 2025. "Robust, extended goal programming with uncertainty sets: an application to a multi-objective portfolio selection problem leveraging DEA," Annals of Operations Research, Springer, vol. 346(2), pages 1497-1552, March.
    10. Abo-Hamad, Waleed & Arisha, Amr, 2013. "Simulation-based framework to improve patient experience in an emergency department," European Journal of Operational Research, Elsevier, vol. 224(1), pages 154-166.
    11. Mestre, Ana Maria & Oliveira, Mónica Duarte & Barbosa-Póvoa, Ana Paula, 2015. "Location–allocation approaches for hospital network planning under uncertainty," European Journal of Operational Research, Elsevier, vol. 240(3), pages 791-806.
    12. Yiting Xing & Ling Li & Zhuming Bi & Marzena Wilamowska‐Korsak & Li Zhang, 2013. "Operations Research (OR) in Service Industries: A Comprehensive Review," Systems Research and Behavioral Science, Wiley Blackwell, vol. 30(3), pages 300-353, May.
    13. Jones, D.F. & Treloar, R. & Ouelhadj, D. & Glampedakis, A. & Bartmeyer, P., 2024. "Incorporation of poverty principles into goal programming," Omega, Elsevier, vol. 127(C).
    14. Jones, Dylan & Jimenez, Mariano, 2013. "Incorporating additional meta-objectives into the extended lexicographic goal programming framework," European Journal of Operational Research, Elsevier, vol. 227(2), pages 343-349.
    15. Wang, Fan & Zhang, Chao & Zhang, Hui & Xu, Liang, 2021. "Short-term physician rescheduling model with feature-driven demand for mental disorders outpatients," Omega, Elsevier, vol. 105(C).
    16. Navneet Vidyarthi & Onur Kuzgunkaya, 2015. "The impact of directed choice on the design of preventive healthcare facility network under congestion," Health Care Management Science, Springer, vol. 18(4), pages 459-474, December.
    17. Liu, Shaonan & Kong, Nan & Parikh, Pratik & Wang, Mingzheng, 2023. "Optimal trauma care network redesign with government subsidy: A bilevel integer programming approach," Omega, Elsevier, vol. 119(C).
    18. Reza Maleki & Mohammadreza Taghizadeh-Yazdi & Rohollah Ghasemi & Samar Rivandi, 2024. "A Hybrid Mathematical-Simulation Approach to Hospital Beds Capacity Optimization for COVID-19 Pandemic Conditions," SN Operations Research Forum, Springer, vol. 5(4), pages 1-33, December.
    19. Benítez-Fernández, Amalia & Ruiz, Francisco, 2020. "A Meta-Goal Programming approach to cardinal preferences aggregation in multicriteria problems," Omega, Elsevier, vol. 94(C).
    20. Cardoso, Teresa & Oliveira, Mónica Duarte & Barbosa-Póvoa, Ana & Nickel, Stefan, 2016. "Moving towards an equitable long-term care network: A multi-objective and multi-period planning approach," Omega, Elsevier, vol. 58(C), pages 69-85.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:annopr:v:346:y:2025:i:2:d:10.1007_s10479-023-05731-6. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.