Enhancing Inventory Management of Saline in Wards: A Case Study of a Hospital in Thailand
DOI:
https://doi.org/10.55003/ETH.420306Keywords:
Inventory, Inventory Requisition, Saline, ReplenishmentAbstract
This study aims to improve the management of saline solution in patient wards by reducing the frequency of emergency saline requests caused by occasional shortages. The research begins by collecting data on saline inventory management at a hospital in Thailand, analyzing and defining the scope of emergency saline requests, and determining the appropriate amount of saline to be stored in the wards. The study categorizes all saline usage data using ABC classification to prioritize usage and compares two inventory replenishment models: the Periodic Review Policy and the Continuous Review Policy. The objective is to determine which method is most effective in managing saline inventory levels. The results indicate that the Periodic Review Policy is the most suitable method for managing saline in patient wards. It allows for the calculation of the optimal storage quantity and the maintenance of an emergency reserve. The replenishment cycle is set at one day, with a delivery lead time of no more than three hours. This method ensures a 99% service level and significantly reduces emergency saline requests, stabilizing them at approximately 1,000 bottles per month. As a result, the overall management of saline is improved, and shortages in emergency situations are minimized.
References
J. Nsowah, G. Agyenim-Boateng and A. Anane, “Effect of Inventory Management Practices on Healthcare Delivery and Operational Performance of Sunyani Regional Hospital,” Operations Research Forum, vol. 6, no. 1, 2025, doi: 10.1007/s43069-024-00405-w.
L. Triqui, “Care Unit Implementation Strategies to Optimise the Design for Healthcare Facilities ” in Hospital Supply Chain Challenges and Opportunities for Improving Healthcare, F. Jawab, Ed., Cham, Switzerland: Springer, 2024, ch. 2, pp. 23–46.
H. Rasku, A. Nord, and B. Zheng, “Inventory Management in High Uncertainty,” *Journal of Uncertainty in Supply Chains*, vol. 10, no. 2, pp. 123–136, 2005. doi:10.3182/20050703-6-CZ-1902.01466
L. Leaven, K. Ahmmad, and D. Peebles, “Inventory Management Applications for Healthcare Supply Chains,” International Journal of Supply Chain Management. vol. 6, no. 3, pp. 1–7, 2017, doi: 10.59160/ijscm.v6i3.1601.
A. E. Mohamed, “Inventory Management, in Operations Management - Recent Advances and New Perspectives, T. Bányai and F. P. G. Márquez, Eds., London, UK: IntechOpen, 2024, ch. 3, pp. 43–57.
N. Sbai, L. Benabbou, and A. Berrado, “Multi-echelon Inventory System Selection: Case of Distribution Systems,” International Journal of Supply and Operations Management, vol. 9, no. 1, pp. 108–125, 2022, doi: 10.22034/ijsom.2021.109031.2138.
R. E. Nugroho and M. Resodiharjo, “INVENTORY MANAGEMENT ANALYSIS BY OPTIMIZING THE FORECASTING METHODS (CASE STUDY AT PT XYZ INDONESIA),” Dinasti International Journal of Management Science, vol. 2, no. 3, pp. 435–455, 2021, doi: 10.31933/dijms.v2i3.705.
A. M. Atieh, H. Kaylani, Y. Al-abdallat, A. Qaderi, L. Ghoul, L. Jaradat and I. Hdairis, “Performance Improvement of Inventory Management System Processes by an Automated Warehouse Management System,” Procedia CIRP, vol. 41, pp. 568–572, 2016, doi: 10.1016/j.procir.2015.12.122.
D. A. R. Nirmala, V. Kannan, M. Thanalakshmi, S. J. P. Gnanaraj and M. Appadurai, “Inventory management and control system using ABC and VED analysis,” Materials Today: Proceedings, vol. 60, pp. 922–925, 2022, doi: 10.1016/j.matpr.2021.10.315.
M. A. Millstein, L. Yang and H. Li, “Optimizing ABC inventory grouping decisions,” International Journal of Production Economics, vol. 148, pp. 71–80, 2014, doi: 10.1016/j.ijpe.2013.11.007.
R. Gupta, K. K. Gupta, B. R. Jain and R. K. Garg, “ABC and VED Analysis in Medical Stores Inventory Control,” Medical Journal Armed Forces India, vol. 63, no. 4, pp. 325–327, 2007, doi: 10.1016/S0377-1237(07)80006-2.
G. Karakatsoulis and K. Skouri, “A periodic review inventory model facing different disruption profiles,” International Journal of Production Economics, vol. 265, 2023, Art. no. 109004, doi: 10.1016/j.ijpe.2023.109004.
Y. Tao, L. H. Lee, E. P. Chew, G. Sun, and V. Charles, “Inventory control policy for a periodic review system with expediting,” Applied Mathematical Modelling, vol. 49, pp. 375–393, 2017, doi: 10.1016/j.apm.2017.04.036.
A. Jain, H. Groenevelt and N. Rudi. “Periodic review inventory management with contingent use of two freight modes with fixed costs,” Naval Research Logistics, vol. 58, no. 4, pp. 400–409, 2011, doi: 10.1002/nav.20451.
S. Setyaningsih and M. H. Basri, “Comparison Continuous and Periodic Review Policy Inventory Management System Formula and Enteral Food Supply in Public Hospital Bandung,” International Journal of Innovation, Management and Technology, vol. 4, no. 2, pp. 253–258, 2013, doi: 10.7763/IJIMT.2013.V4.401.
I. Rizkya, K. Syahputri, R. M. Sari, Anizar, I. Siregar and E. Ginting, “Comparison of periodic review policy and continuous review policy for the automotive industry inventory system,” IOP Conference Series: Materials Science and Engineering, vol. 288, 2018, Art. no. 012085, doi: 10.1088/1757-899X/288/1/012085.
Q. Wang and G. Wan, “Cost accounting methods and periodic-review policies for serial inventory systems,” Computers & Operations Research, vol. 118, 2020, Art. no. 104902, doi: 10.1016/j.cor.2020.104902.
Z. Guo and H. Chen, “Joint optimization of inventory replenishment and rationing policies for an omnichannel store with both in-store and online demands,” Computers & Industrial Engineering, vol. 191, 2024, Art. no. 110171, doi: 10.1016/j.cie.2024.110171.
K. R. Kini, F. Harrou, M. Madakyaru, and Y. Sun, “Enhancing fault detection in multivariate industrial processes: Kolmogorov–Smirnov non-parametric statistical approach,” Computers & Chemical Engineering, vol. 192, 2025, Art. no. 108876, doi: 10.1016/j.compchemeng.2024.108876.
G. Karakatsoulis, K. Skouri, and A. G. Lagodimos, “EOQ with supply disruptions under different advance information regimes,” Applied Mathematical Modelling, vol. 125, pp. 772–788, 2024, doi: 10.1016/j.apm.2023.08.012.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2025 School of Engineering, King Mongkut’s Institute of Technology Ladkrabang

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
The published articles are copyrighted by the School of Engineering, King Mongkut's Institute of Technology Ladkrabang.
The statements contained in each article in this academic journal are the personal opinions of each author and are not related to King Mongkut's Institute of Technology Ladkrabang and other faculty members in the institute.
Responsibility for all elements of each article belongs to each author; If there are any mistakes, each author is solely responsible for his own articles.


