Optimization of infusion supply using the probabilistic economic order quantity (EOQ) method at Sanglah Center General Hospital

https://doi.org/10.21744/ijpm.v6n1.2067

Authors

  • I Putu Yudi Prabhadika Universitas Warmadewa, Denpasar, Indonesia
  • Ni Ketut Tari Tastrawati Universitas Udayana, Denpasar, Indonesia
  • Luh Putu Ida Harini Universitas Udayana, Denpasar, Indonesia
  • Ida Ayu Rosa Dewinta Universitas Warmadewa, Denpasar, Indonesia

Keywords:

ARIMA, economic order quantity, forecasting, infusion supply, operational research

Abstract

Inventory planning is important to avoid the advantages or lack of goods. Hospitals as health care providers also have a share in the stock of goods, one of which is infusion. This study aims to optimize infusion supply at Sanglah Central General Hospital using Economic Order Quantity (EOQ) method with (q, r) model. The forecasting method used in forecasting infusion requirements at Sanglah Hospital is an Autoregressive Integrated Moving Average (ARIMA) method. The results of this study indicate the amount of infusion of NaCl 0.9% 500 ml and 5% 500 ml glucose infusion which is expected to be ordered by Sanglah Hospital at the beginning of the booking period is 11,921 and 560 units. Sanglah Hospital need to re-order when the stock of infusion of NaCl 0.9% 500 ml touched the number 3,593 and 5% 500 ml glucose infusion stock touched 202 units. To anticipate the spike of demand, Sanglah Hospital is expected to provide infusion as a safety reserve of 190 units for infusion of NaCl type 0.9% 500 ml and 21 units for glucose type 5% 500 ml. The total inventory cost of the infusion to be issued by Sanglah Hospital in the planning of the infusion needs for 6 months is also obtained.

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Published

2023-01-18

How to Cite

Prabhadika, I. P. Y., Tastrawati, N. K. T., Harini, L. P. I., & Dewinta, I. A. R. (2023). Optimization of infusion supply using the probabilistic economic order quantity (EOQ) method at Sanglah Center General Hospital. International Journal of Physics & Mathematics, 6(1), 1-6. https://doi.org/10.21744/ijpm.v6n1.2067