The Development of Pharmaceuticals and Medical Supplies Inventory Replenishment System : A Case Study of Community Hospital
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Abstract
The effective replenishment of pharmaceuticals and medical supplies for hospitals to have adequate pharmaceuticals and medical supplies under the budget is very crucial for every hospital. A community hospital located in Ratchaburi province has only one replenishment system that has been applied to all pharmaceuticals and medical supplies. It led to high inventory costs and long inventory holding lead time. On the other hand, shortages of pharmaceuticals and medical supplies were found. This research aims to develop an effective pharmaceuticals and medical supplies replenishment system in order to have sufficient inventory for its services while having the appropriate inventory costs. Materials and methods: The ABC Classification and VED Analysis method were used to classify the pharmaceuticals and medical supplies. Demand forecasts consisted of the Holt-Winter's Method, the Simple Seasonal Method, and the Croston's Method. The Order Up-To Level method, the Economic Order Quantity (EOQ) and the Silver-Meal Heuristic method were utilized to develop the pharmaceuticals and medical supplies replenishment system. Results: The demand patterns of the pharmaceuticals are different in terms of seasonal, trend and one medical supply has demand for some periods. As the result, the pharmaceuticals and medical supplies need to be applied with different forecasting methods and replenishment systems. Conclusion: From the analysis of the nine-item-pharmaceuticals and medical supplies, the proposed methods could reduce the average inventory cost of the pharmaceuticals and medical supplies by 1,148,373.97 Baht and decrease the average inventory holding lead time by 113.84 days.
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References
Ballou R. Business Logistics/Supply Chain Management. 5thed. New jersey: Pearson Prentice Hall; 2004. 349-351.
Bring J, Gupta L, Maj G. ABC and VED Analysis in Medical Stores Inventory Control. MJAFI 2007; 63(4): 325-327.
Bulfin R and Sipper D. Production Planning, Control and Integration. New York: McGraw-Hill; 1998. 207-313.
Cachon G and Terwiesch C. Matching Supply with Demand. New York: McGraw-Hill; 2006. 243-387.
Chakravarty B and Sushil M. ABC-VED Analysis of expendable medical stores at a tertiary care hospital. MJAFI 2015; 71(1): 24-27.
Gilliland M, Len T, Udo S. Business Forecasting. New jersey: John Wiley&Sons Inc; 2015. 104-258.
Kelton D. Simulaton with Arena. 2nded. New York: McGraw-Hill; 2002. 579-580.
Lewis D. Industrial and business forecasting methods. London: Butterworth Scientific; 1982. 40.
Ragsdale C. Spreadsheet Modeling & Decision Analysis. 4thed. Ohio: South-Western; 2004. 534-554.
Sani B and Teunteer R. Calculating order-up-to levels for products with intermittent demand. Int J Prod Econ 2008; 118(1): 82-86.