Investigation and Prioritization of Performance Indicators for Inventory Management in the University Hospital The objective of this study focus on the investigation and prioritization of the inventory performance indicators in the university hospital. The results of this study found that in the group of main criteria quality (Q) is the most important indicator for inventory management in the university hospital. For subcriteria, patient safety e.g. delays, errors (Q4) is the most important indicators in the group of quality, replenishment time (T1) is the most important indicator in the group of the time, inventory cost (F1) is the most important indicators in the group of financial. Inventory turnover (P1) is the most important indicators in the group of productivity Therefore, the presented results of this study will help the people who do work in the healthcare industry or related industry for using to be the guideline for improving the performance of inventory management.

Inventory Replenishment Policy for Medicines with NonStationary Stochastic Demand: The Case of a Newly Opened Hospital in Thailand Inventory and replenishment planning of medicines play a vital role in hospital management. A large replenishment quantity can lower the percentage of medicine shortage, which might be critical for a patientu0027s life, but somehow needed to be traded off with high inventory cost from excessive stock. Especially for a vital medicine with nonstationary stochastic demand e.g., antivenom serum or adrenaline, demand for these medicines found to be intermittent since itu0027s an unpredictable event, but a shortage of these medicines when needed will result in a serious loss. Adequate recorded data allow the pharmacist a better decide on its replenishment policy. However, this case study is not yet existed since a hospital has just opened for four months. Hence, the objective of this paper is to propose a replenishment policy (Rn,Sn) for this type of medicine including optimal orderupto level and period with lowest expected total cost using Tarim and Kingsmanu0027s MILP. A newly opened hospital in Thailand was selected as a case study. The results were compared with current policy and now being cited as its reference orderupto level.