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Evaluating Supply Chain Network Models for Third Party Logistics Operated Supply-Processing-Distribution in Thai Hospitals: An AHP-Fuzzy TOPSIS Approach

Author

Listed:
  • Duangpun Kritchanchai

    (Department of Industrial Engineering, Faculty of Engineering, Mahidol University, Nakhon Pathom 73170, Thailand)

  • Daranee Senarak

    (Cluster of Logistics and Rail Engineering, Faculty of Engineering, Mahidol University, Nakhon Pathom 73170, Thailand
    Greenline Synergy Co., Ltd., Bangkok 10250, Thailand)

  • Tuangyot Supeekit

    (Department of Industrial Engineering, Faculty of Engineering, Mahidol University, Nakhon Pathom 73170, Thailand)

  • Wirachchaya Chanpuypetch

    (Multidisciplinary and Interdisciplinary School, Chiang Mai University, Chiang Mai 50200, Thailand
    Faculty of Agro-Industry, Chiang Mai University, Samut Sakhon 74000, Thailand
    Cluster of Innovation for Sustainable Seafood Industry and Value Chain Management, Faculty of Agro-Industry, Chiang Mai University, Chiang Mai 50200, Thailand)

Abstract

Background : This study introduces a novel supply chain management (SCM) model tailored for the hospital industry in Thailand. The model emphasises the integration of third-party logistics (3PL) providers to streamline supply-processing-distribution (SPD) functions. By outsourcing non-core activities like SPD to 3PL providers, hospitals can enhance their operational efficiency, allowing healthcare professionals to focus on core tasks and ultimately improving service delivery. Methods : This research employed a dual methodology, combining an analytic hierarchy process (AHP) with a Fuzzy Technique for Order of Preference by Similarity to Ideal Solution (Fuzzy TOPSIS). These approaches evaluated various SCM models based on multiple hospital logistics performance attributes. Results : The AHP results highlighted on-time delivery, patient safety, utilisation rate, and emergency procurement as critical criteria for selecting the optimal model. Fuzzy TOPSIS analysis identified the SCIII: W-G-H model as the most suitable for implementation in Thai hospitals. This model incorporates a centralised warehouse for negotiation leverage, a Group Purchasing Organisation (GPO) for cost efficiency, and regional SPD hubs for effective inventory management and rapid responses to demand fluctuations or emergencies. Conclusions : Adopting this SCM model is expected to significantly enhance supply chain performance, reduce operational costs, and improve the quality and safety of patient care in Thai hospitals.

Suggested Citation

  • Duangpun Kritchanchai & Daranee Senarak & Tuangyot Supeekit & Wirachchaya Chanpuypetch, 2024. "Evaluating Supply Chain Network Models for Third Party Logistics Operated Supply-Processing-Distribution in Thai Hospitals: An AHP-Fuzzy TOPSIS Approach," Logistics, MDPI, vol. 8(4), pages 1-28, November.
    • Handle: RePEc:gam:jlogis:v:8:y:2024:i:4:p:116-:d:1517621
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    References listed on IDEAS

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    Cited by:

    1. Davor Mance & Dora Šekimić & Borna Debelić, 2025. "Croatia’s Economic Integration in EU’s Regional Supply Chains: Panel Data Quantile Regression," Logistics, MDPI, vol. 9(2), pages 1-19, April.
    2. Péter Tamás, 2025. "New Dimensions in the Study of Outsourcing Logistics Services: The Role of Digitalization in Enhancing Efficiency," Logistics, MDPI, vol. 9(2), pages 1-24, March.
    3. Huang, Chaorui & Wen, Xin & Chung, Sai-Ho, 2025. "Evaluating the efficacy of emerging third-party logistics role: An examination of potential limitations," International Journal of Production Economics, Elsevier, vol. 289(C).

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