Enhancing Hospital Supply Chains with 3PL Models Under Demand Uncertainty: A Case Study of a Tertiary Public Hospital in Thailand
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Issued Date
2025-11-25
Resource Type
ISSN
19793561
eISSN
25799363
Scopus ID
2-s2.0-105024244836
Journal Title
Operations and Supply Chain Management
Volume
18
Issue
3
Start Page
497
End Page
510
Rights Holder(s)
SCOPUS
Bibliographic Citation
Operations and Supply Chain Management Vol.18 No.3 (2025) , 497-510
Suggested Citation
Ananpalasak N., Kritchanchai D. Enhancing Hospital Supply Chains with 3PL Models Under Demand Uncertainty: A Case Study of a Tertiary Public Hospital in Thailand. Operations and Supply Chain Management Vol.18 No.3 (2025) , 497-510. 510. doi:10.31387/oscm0620487 Retrieved from: https://repository.li.mahidol.ac.th/handle/123456789/113525
Title
Enhancing Hospital Supply Chains with 3PL Models Under Demand Uncertainty: A Case Study of a Tertiary Public Hospital in Thailand
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Author's Affiliation
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Abstract
This study evaluates the integration of Third-Party Logistics (3PL) within hospital supply chain management under uncertain conditions, aiming to maintain service levels near 100% to prevent drug shortages and enhance patient care readiness. Employing a mixed-methods approach, it combines semi-structured interviews with logistics experts and simulations of four 3PL models for hospital Supply, Processing, and Distribution (SPD), including internal distribution (d), based on actual drug usage data. Results show that a hybrid model, which blends internal oversight with external logistics management, significantly enhances supply chain resilience and maintains optimal inventory levels. However, fully outsourcing logistics raises concerns about external control over internal drug distribution. The study concludes that integrating these 3PL/SPD models not only strengthens risk management but also adapts effectively to fluctuating demand. It offers a strategic framework for tertiary healthcare logistics, emphasizing the importance of aligning 3PL strategies with healthcare needs to optimize patient care outcomes and streamline logistics processes.