IDEAS home Printed from https://ideas.repec.org/a/gam/jlogis/v8y2024i4p116-d1517621.html
   My bibliography  Save this article

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
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2305-6290/8/4/116/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2305-6290/8/4/116/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Saaty, Thomas L., 1990. "How to make a decision: The analytic hierarchy process," European Journal of Operational Research, Elsevier, vol. 48(1), pages 9-26, September.
    2. Rajak, Manindra & Shaw, Krishnendu, 2019. "Evaluation and selection of mobile health (mHealth) applications using AHP and fuzzy TOPSIS," Technology in Society, Elsevier, vol. 59(C).
    3. de Vries, Jan, 2011. "The shaping of inventory systems in health services: A stakeholder analysis," International Journal of Production Economics, Elsevier, vol. 133(1), pages 60-69, September.
    4. Pasura Aungkulanon & Walailak Atthirawong & Pongchanun Luangpaiboon & Wirachchaya Chanpuypetch, 2024. "Navigating Supply Chain Resilience: A Hybrid Approach to Agri-Food Supplier Selection," Mathematics, MDPI, vol. 12(10), pages 1-42, May.
    5. Huidan Lin & Qun Li & Xueguo Xu & Ying Zhang, 2021. "Research on dispatch of drugs and consumables in SPD warehouse of large scale hospital under uncertain environment: take respiratory consumables as an example," Journal of Combinatorial Optimization, Springer, vol. 42(4), pages 848-865, November.
    6. Rosales, Claudia R. & Magazine, Michael & Rao, Uday, 2015. "The 2Bin system for controlling medical supplies at point-of-use," European Journal of Operational Research, Elsevier, vol. 243(1), pages 271-280.
    7. Gengjun Gao & Yuxuan Che & Jian Shen, 2021. "Path optimization for joint distribution of medical consumables under hospital SPD supply chain mode," Journal of Combinatorial Optimization, Springer, vol. 42(4), pages 866-883, November.
    8. Constance E. Helfat & Margaret A. Peteraf, 2015. "Managerial cognitive capabilities and the microfoundations of dynamic capabilities," Strategic Management Journal, Wiley Blackwell, vol. 36(6), pages 831-850, June.
    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. Moons, Karen & Waeyenbergh, Geert & Pintelon, Liliane, 2019. "Measuring the logistics performance of internal hospital supply chains – A literature study," Omega, Elsevier, vol. 82(C), pages 205-217.
    2. Volland, Jonas & Fügener, Andreas & Schoenfelder, Jan & Brunner, Jens O., 2017. "Material logistics in hospitals: A literature review," Omega, Elsevier, vol. 69(C), pages 82-101.
    3. Flavio Martins & Maria Fatima Almeida & Rodrigo Calili & Agatha Oliveira, 2020. "Design Thinking Applied to Smart Home Projects: A User-Centric and Sustainable Perspective," Sustainability, MDPI, vol. 12(23), pages 1-27, December.
    4. Jochen Wulf, 2020. "Development of an AHP hierarchy for managing omnichannel capabilities: a design science research approach," Business Research, Springer;German Academic Association for Business Research, vol. 13(1), pages 39-68, April.
    5. Wu, Zhangsheng & Li, Yue & Wang, Rong & Xu, Xu & Ren, Dongyang & Huang, Quanzhong & Xiong, Yunwu & Huang, Guanhua, 2023. "Evaluation of irrigation water saving and salinity control practices of maize and sunflower in the upper Yellow River basin with an agro-hydrological model based method," Agricultural Water Management, Elsevier, vol. 278(C).
    6. Baldwin, Carliss Y. & Bogers, Marcel L.A.M. & Kapoor, Rahul & West, Joel, 2024. "Focusing the ecosystem lens on innovation studies," Research Policy, Elsevier, vol. 53(3).
    7. Giovanni Gavetti & Constance E. Helfat & Luigi Marengo, 2017. "Searching, Shaping, and the Quest for Superior Performance," Strategy Science, INFORMS, vol. 2(3), pages 194-209, September.
    8. D’Inverno, Giovanna & Carosi, Laura & Romano, Giulia & Guerrini, Andrea, 2018. "Water pollution in wastewater treatment plants: An efficiency analysis with undesirable output," European Journal of Operational Research, Elsevier, vol. 269(1), pages 24-34.
    9. Nermin Kişi, 2019. "A Strategic Approach to Sustainable Tourism Development Using the A’WOT Hybrid Method: A Case Study of Zonguldak, Turkey," Sustainability, MDPI, vol. 11(4), pages 1-19, February.
    10. Gavin M Schwarz & Karin Sanders & Dave Bouckenooghe, 2020. "In the driving seat: Executive’s perceived control over environment," Australian Journal of Management, Australian School of Business, vol. 45(2), pages 317-342, May.
    11. Pathiraja, Erandathie & Griffith, Garry & Farquharson, Robert & Faggia, Rob, 2019. "The Cost of Climate Change to Agricultural Industries: Coconuts in Sri Lanka," International Journal on Food System Dynamics, International Center for Management, Communication, and Research, vol. 10(05), December.
    12. Ayodele, T.R. & Ogunjuyigbe, A.S.O. & Odigie, O. & Munda, J.L., 2018. "A multi-criteria GIS based model for wind farm site selection using interval type-2 fuzzy analytic hierarchy process: The case study of Nigeria," Applied Energy, Elsevier, vol. 228(C), pages 1853-1869.
    13. V. Srinivasan & G. Shainesh & Anand K. Sharma, 2015. "An approach to prioritize customer-based, cost-effective service enhancements," The Service Industries Journal, Taylor & Francis Journals, vol. 35(14), pages 747-762, October.
    14. Drummond, Conor & O'Toole, Thomas & McGrath, Helen, 2022. "Social Media resourcing of an entrepreneurial firm network: Collaborative mobilisation processes," Journal of Business Research, Elsevier, vol. 145(C), pages 171-187.
    15. Jim Andersén, 2023. "Green resource orchestration: A critical appraisal of the use of resource orchestration in environmental management research, and a research agenda for future study," Business Strategy and the Environment, Wiley Blackwell, vol. 32(8), pages 5506-5520, December.
    16. Patricija Bajec & Danijela Tuljak-Suban, 2019. "An Integrated Analytic Hierarchy Process—Slack Based Measure-Data Envelopment Analysis Model for Evaluating the Efficiency of Logistics Service Providers Considering Undesirable Performance Criteria," Sustainability, MDPI, vol. 11(8), pages 1-18, April.
    17. Abareshi, Maryam & Zaferanieh, Mehdi, 2019. "A bi-level capacitated P-median facility location problem with the most likely allocation solution," Transportation Research Part B: Methodological, Elsevier, vol. 123(C), pages 1-20.
    18. Christoph Riedl & Eric Bogert, 2024. "Effects of AI Feedback on Learning, the Skill Gap, and Intellectual Diversity," Papers 2409.18660, arXiv.org.
    19. Datu Buyung Agusdinata & Wenjuan Liu & Sinta Sulistyo & Philippe LeBillon & Je'anne Wegner, 2023. "Evaluating sustainability impacts of critical mineral extractions: Integration of life cycle sustainability assessment and SDGs frameworks," Journal of Industrial Ecology, Yale University, vol. 27(3), pages 746-759, June.
    20. Xinxin Liu & Xiaosheng Wang & Haiying Guo & Xiaojie An, 2021. "Benefit Allocation in Shared Water-Saving Management Contract Projects Based on Modified Expected Shapley Value," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 35(1), pages 39-62, January.

    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:jlogis:v:8:y:2024:i:4:p:116-:d:1517621. 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.