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Supplier selection and capacity allocation in medical tourism service supply chain

Author

Listed:
  • Saliha Karadayi-Usta

    (Istinye University)

  • Seyda Serdarasan

    (Istanbul Technical University)

Abstract

Medical tourism refers to people traveling abroad to benefit from both medical and tourism services. The delivery of medical tourism services requires the simultaneous participation of multiple service providers. This study focuses on the tactical decision level of supply chain planning and aims to evaluate and select the providers of the services that are offered in a medical tourism service package by a medical assistance company and allocate the available capacity of the preselected providers to the medical tourist demand. Thus, it examines the selection of individual service providers and the allocation of capacity based on medical tourist preferences from a business-to-business perspective, namely a supplier selection and order allocation problem. To address this problem, we suggest a two-step process where a fuzzy rule-based inference system is used to evaluate service providers and determine their collaboration scores, and subsequently a fuzzy linear model is employed to select providers and determine the capacity allocation of service requests while maximizing the overall collaboration scores. The applicability of the proposed approach is presented by a quantitative application for dental tourism in Turkey. The suggested approach serves as a guide for scholars as well as for medical tourism practitioners engaged in the process of configuring a medical tourism service network.

Suggested Citation

  • Saliha Karadayi-Usta & Seyda Serdarasan, 2024. "Supplier selection and capacity allocation in medical tourism service supply chain," OPSEARCH, Springer;Operational Research Society of India, vol. 61(4), pages 2191-2217, December.
    • Handle: RePEc:spr:opsear:v:61:y:2024:i:4:d:10.1007_s12597-023-00649-w
    DOI: 10.1007/s12597-023-00649-w
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    References listed on IDEAS

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    1. Xufeng(Rax) Yao & Ronald Askin, 2019. "Review of supply chain configuration and design decision-making for new product," International Journal of Production Research, Taylor & Francis Journals, vol. 57(7), pages 2226-2246, April.
    2. Cuneyt Altinoz, 2008. "Supplier selection for industry: a fuzzy rule-based scoring approach with a focus on usability," International Journal of Integrated Supply Management, Inderscience Enterprises Ltd, vol. 4(3/4), pages 303-321.
    3. Pakinee Ariya & Nopasit Chakpitak, 2016. "Systems thinking in online travel agency of supplier relationship management," International Journal of Innovation and Learning, Inderscience Enterprises Ltd, vol. 19(1), pages 63-84.
    4. Vithala R. Rao, 2014. "Applied Conjoint Analysis," Springer Books, Springer, edition 127, number 978-3-540-87753-0, June.
    5. Salihoğlu, Güliz & Gezici, Ferhan, 2018. "Geography of suppliers in the hospitality sector: The case of Alanya," Tourism Management, Elsevier, vol. 65(C), pages 41-54.
    6. Rommelfanger, Heinrich, 1996. "Fuzzy linear programming and applications," European Journal of Operational Research, Elsevier, vol. 92(3), pages 512-527, August.
    7. Vasiliki Kostami & Dimitris Kostamis & Serhan Ziya, 2017. "Pricing and Capacity Allocation for Shared Services," Manufacturing & Service Operations Management, INFORMS, vol. 19(2), pages 230-245, May.
    8. Na Geng & Xiaolan Xie & Zheng Zhang, 2019. "Addressing healthcare operational deficiencies using stochastic and dynamic programming," International Journal of Production Research, Taylor & Francis Journals, vol. 57(14), pages 4371-4390, July.
    9. Alptekin Ulutas & Nagesh Shukla & Senevi Kiridena & Peter Gibson, 2016. "A utility-driven approach to supplier evaluation and selection: empirical validation of an integrated solution framework," International Journal of Production Research, Taylor & Francis Journals, vol. 54(5), pages 1554-1567, March.
    10. Wang, Di & Liu, Weihua & Shen, Xinran & Wei, Wanying, 2019. "Service order allocation under uncertain demand: Risk aversion, peer competition, and relationship strength," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 130(C), pages 293-311.
    11. Korpela, Jukka & Kylaheiko, Kalevi & Lehmusvaara, Antti & Tuominen, Markku, 2002. "An analytic approach to production capacity allocation and supply chain design," International Journal of Production Economics, Elsevier, vol. 78(2), pages 187-195, July.
    12. Narongsak Pongsathornwiwat & Van-Nam Huynh & Chawalit Jeenanunta, 2017. "Developing Evaluation Criteria for Partner Selection in Tourism Supply Chain Networks," International Journal of Knowledge and Systems Science (IJKSS), IGI Global, vol. 8(1), pages 39-52, January.
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    More about this item

    Keywords

    Fuzzy optimization; Fuzzy rule-based system; Medical tourism; Medical tourism service supply chain; Order allocation; Supplier selection;
    All these keywords.

    JEL classification:

    • C44 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Operations Research; Statistical Decision Theory
    • D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty
    • I10 - Health, Education, and Welfare - - Health - - - General

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