IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v16y2019i5p811-d211345.html
   My bibliography  Save this article

Primary Health Care Center (PHCC) Location-Allocation with Multi-Objective Modelling: A Case Study in Idleb, Syria

Author

Listed:
  • Pınar Miç

    (Department of Industrial Engineering, Çukurova University, Sarıçam 01330, Turkey)

  • Melik Koyuncu

    (Department of Industrial Engineering, Çukurova University, Sarıçam 01330, Turkey)

  • Jamil Hallak

    (Department of Industrial Engineering, Çukurova University, Sarıçam 01330, Turkey)

Abstract

The Syrian crisis began on 15 March 2011. It is one of the bloodiest and complicated conflicts in the world today. Although almost eight years have passed over this tragedy, civilians continue to suffer from conflicts and destructions in the area. As a result, this situation disregards human life and the number of people in need increases day by day. Particularly, people who have to live in the conflict area encounter troubles with regard to health, shelter, food and other needs. Thus, we have focused on identifying the Primary Health Care Center (PHCC) locations within Idleb Governorate in Syria. Data is extracted from a sample containing 23 sub-districts in the governorate and a total of 338 communities. We have formulated a mixed integer-weighted goal programming model and combined it with a Geographic Information System-GIS (ArcMap). The model is solved via an optimization package and moreover, sensitivity analyses are conducted to achieve a more in-depth study. Our aim was to have 60 PHCCs out of 77 available candidate PHCCs and the model located 42 PHCCs in total, by allocating 379,080 people, with a total cost of USD 1,000,353 and a cash for work amounting to USD 163,549. Accordingly, the model’s outputs and sensitivity analyses are expected to help decision-makers in case of such disasters.

Suggested Citation

  • Pınar Miç & Melik Koyuncu & Jamil Hallak, 2019. "Primary Health Care Center (PHCC) Location-Allocation with Multi-Objective Modelling: A Case Study in Idleb, Syria," IJERPH, MDPI, vol. 16(5), pages 1-23, March.
  • Handle: RePEc:gam:jijerp:v:16:y:2019:i:5:p:811-:d:211345
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/16/5/811/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1660-4601/16/5/811/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Schniederjans, Marc J. & Garvin, Tim, 1997. "Using the analytic hierarchy process and multi-objective programming for the selection of cost drivers in activity-based costing," European Journal of Operational Research, Elsevier, vol. 100(1), pages 72-80, July.
    2. Kwak, N. K. & Lee, Changwon, 1998. "A multicriteria decision-making approach to university resource allocations and information infrastructure planning," European Journal of Operational Research, Elsevier, vol. 110(2), pages 234-242, October.
    3. Dylan Jones & Mehrdad Tamiz, 2010. "Practical Goal Programming," International Series in Operations Research and Management Science, Springer, edition 1, number 978-1-4419-5771-9, April.
    4. Xueping Li & Zhaoxia Zhao & Xiaoyan Zhu & Tami Wyatt, 2011. "Covering models and optimization techniques for emergency response facility location and planning: a review," Mathematical Methods of Operations Research, Springer;Gesellschaft für Operations Research (GOR);Nederlands Genootschap voor Besliskunde (NGB), vol. 74(3), pages 281-310, December.
    5. Tamiz, Mehrdad & Jones, Dylan & Romero, Carlos, 1998. "Goal programming for decision making: An overview of the current state-of-the-art," European Journal of Operational Research, Elsevier, vol. 111(3), pages 569-581, December.
    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. Cinzia Colapinto & Raja Jayaraman & Simone Marsiglio, 2017. "Multi-criteria decision analysis with goal programming in engineering, management and social sciences: a state-of-the art review," Annals of Operations Research, Springer, vol. 251(1), pages 7-40, April.
    2. Belaid Aouni & Sheila McGillis & Mustafa Elkasih Abdulkarim, 2017. "Goal programming model for management accounting and auditing: a new typology," Annals of Operations Research, Springer, vol. 251(1), pages 41-54, April.
    3. Ho, William, 2008. "Integrated analytic hierarchy process and its applications - A literature review," European Journal of Operational Research, Elsevier, vol. 186(1), pages 211-228, April.
    4. Zgajnar, Jaka & Kavcic, Stane, 2011. "Weighted Goal Programming and Penalty Functions: Whole-farm Planning Approach Under Risk," 2011 International Congress, August 30-September 2, 2011, Zurich, Switzerland 118033, European Association of Agricultural Economists.
    5. Francisco Salas-Molina & Juan Antonio Rodr'iguez Aguilar & Filippo Bistaffa, 2020. "Shared value economics: an axiomatic approach," Papers 2006.00581, arXiv.org.
    6. Hocine, Amine & Kouaissah, Noureddine & Bettahar, Samir & Benbouziane, Mohamed, 2018. "Optimizing renewable energy portfolios under uncertainty: A multi-segment fuzzy goal programming approach," Renewable Energy, Elsevier, vol. 129(PA), pages 540-552.
    7. Ho, Hui-Ping & Chang, Ching-Ter & Ku, Cheng-Yuan, 2015. "House selection via the internet by considering homebuyers’ risk attitudes with S-shaped utility functions," European Journal of Operational Research, Elsevier, vol. 241(1), pages 188-201.
    8. Hocine, Amine, 2018. "Meta goal programing approach for solving multi-criteria de Novo programing problemAuthor-Name: Zhuang, Zheng-Yun," European Journal of Operational Research, Elsevier, vol. 265(1), pages 228-238.
    9. Chang, Ching-Ter, 2011. "Multi-choice goal programming with utility functions," European Journal of Operational Research, Elsevier, vol. 215(2), pages 439-445, December.
    10. Khorramshahgol, Reza & Al-Husain, Raed, 2021. "A GP-AHP approach to Design Responsive Supply Chains for Pareto Customers," Operations Research Perspectives, Elsevier, vol. 8(C).
    11. Bilbao-Terol, Amelia & Arenas-Parra, Mar & Cañal-Fernández, Verónica, 2016. "A model based on Copula Theory for sustainable and social responsible investments," Revista de Contabilidad - Spanish Accounting Review, Elsevier, vol. 19(1), pages 55-76.
    12. Kettani, Ossama & Oral, Muhittin, 2015. "Designing and implementing a real estate appraisal system: The case of Québec Province, Canada," Socio-Economic Planning Sciences, Elsevier, vol. 49(C), pages 1-9.
    13. David Kik & Matthias Gerhard Wichmann & Thomas Stefan Spengler, 2022. "Decision support framework for the regional facility location and development planning problem," Journal of Business Economics, Springer, vol. 92(1), pages 115-157, January.
    14. Shaheen Sardar & Young Hae Lee & Muhammad Saad Memon, 2016. "A Sustainable Outsourcing Strategy Regarding Cost, Capacity Flexibility, and Risk in a Textile Supply Chain," Sustainability, MDPI, vol. 8(3), pages 1-19, March.
    15. Hocine, Amin & Zhuang, Zheng-Yun & Kouaissah, Noureddine & Li, Der-Chiang, 2020. "Weighted-additive fuzzy multi-choice goal programming (WA-FMCGP) for supporting renewable energy site selection decisions," European Journal of Operational Research, Elsevier, vol. 285(2), pages 642-654.
    16. Behnam Fooladi Dehaghi & Ali Khoshfetrat, 2020. "Optimal Allocation of Water Reuse Using Modified TODIM-GP Approach with Considering the Leopold Matrix Outputs," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 34(12), pages 3823-3854, September.
    17. Babooshka Shavazipour & Theodor J. Stewart, 2021. "Multi-objective optimisation under deep uncertainty," Operational Research, Springer, vol. 21(4), pages 2459-2487, December.
    18. Brijesh Ainapur & Ritesh Singh & P.R.Vittal, 2011. "Toc Approach for Supply Chain Performance Enhancement," International Journal of Business Research and Management (IJBRM), Computer Science Journals (CSC Journals), vol. 2(4), pages 163-178, December.
    19. Hocine, Amin & Kouaissah, Noureddine & Lozza, Sergio Ortobelli & Aouam, Tarik, 2024. "Modelling De novo programming within Simon’s satisficing theory: Methods and application in designing an optimal offshore wind farm location system," European Journal of Operational Research, Elsevier, vol. 315(1), pages 289-306.
    20. Francisco Guijarro, 2019. "A Multicriteria Model for the Assessment of Countries’ Environmental Performance," IJERPH, MDPI, vol. 16(16), pages 1-15, August.

    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:gam:jijerp:v:16:y:2019:i:5:p:811-:d:211345. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.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.