TY - GEN
T1 - Model development to determine optimal drugs inventory in Indonesia public health services
AU - Hakim, Inaki Maulida
AU - Ulfah, Wafa Makhasha
N1 - Publisher Copyright:
© 2019 Association for Computing Machinery.
PY - 2019/9/27
Y1 - 2019/9/27
N2 - This research discusses the management of drug inventory in a regional public hospital in Indonesia that is carried out to support the government's target regarding 95% of inventory in hospitals and health centers has to be fulfilled. The object hospital of this research also has two main targets in the drugs inventory management, namely quality control and cost control, both of which can be achieved by the efficient management of the drug inventory. One of the strategies to obtain it is to plan an efficient decision on the quantity (Q) of ordered drugs and the order time (T) to achieve minimum total cost of the drugs inventory management and the demand for drugs from patients is fulfilled. The hospital is important to carry out drug inventory management since the nature of this product is easily expired, storing excessive amounts of drugs could lead to deadstock. On the other hand, having shortages of drugs could be very dangerous for the patient who needed it. The method applied in this research is the ABC classification to determine the level of drug usage within one year and Mixed Integer Linear Programming (MILP) to obtain the minimum cost of the drugs inventory management. The results of this research are 50 types of drugs that categorized as category A from 526 drugs in the hospital, quantity of order (Q) of drugs, arrival lead time of drugs (T), the total cost of the 10 drugs inventory management from classification A which was reduced by IDR36.899.512 from the actual conditions, and this research also comparing the results of two mathematical models that consider and do not consider the drug expiration factors.
AB - This research discusses the management of drug inventory in a regional public hospital in Indonesia that is carried out to support the government's target regarding 95% of inventory in hospitals and health centers has to be fulfilled. The object hospital of this research also has two main targets in the drugs inventory management, namely quality control and cost control, both of which can be achieved by the efficient management of the drug inventory. One of the strategies to obtain it is to plan an efficient decision on the quantity (Q) of ordered drugs and the order time (T) to achieve minimum total cost of the drugs inventory management and the demand for drugs from patients is fulfilled. The hospital is important to carry out drug inventory management since the nature of this product is easily expired, storing excessive amounts of drugs could lead to deadstock. On the other hand, having shortages of drugs could be very dangerous for the patient who needed it. The method applied in this research is the ABC classification to determine the level of drug usage within one year and Mixed Integer Linear Programming (MILP) to obtain the minimum cost of the drugs inventory management. The results of this research are 50 types of drugs that categorized as category A from 526 drugs in the hospital, quantity of order (Q) of drugs, arrival lead time of drugs (T), the total cost of the 10 drugs inventory management from classification A which was reduced by IDR36.899.512 from the actual conditions, and this research also comparing the results of two mathematical models that consider and do not consider the drug expiration factors.
KW - ABC classification
KW - Drug inventory
KW - Health services
KW - Inventory management
KW - Mathematical modeling
KW - Mixed-integer linear programming
KW - Pharmacy department
UR - http://www.scopus.com/inward/record.url?scp=85076674724&partnerID=8YFLogxK
U2 - 10.1145/3364335.3364368
DO - 10.1145/3364335.3364368
M3 - Conference contribution
AN - SCOPUS:85076674724
T3 - ACM International Conference Proceeding Series
SP - 28
EP - 32
BT - 2019 the 5th International Conference on Industrial and Business Engineering, ICIBE 2019
PB - Association for Computing Machinery
T2 - 5th International Conference on Industrial and Business Engineering, ICIBE 2019
Y2 - 27 September 2019 through 29 September 2019
ER -