Akcan, SerapKokangül, Ali13.07.20192019-07-1613.07.20192019-07-1620131072-4761https://hdl.handle.net/20.500.12451/2659Demand for any material in a hospital depends on a random arrival rate and random length of stay in units. Therefore, the demand for any material shows stochastic characteristics that make determining the optimum level of r and Q problem more difficult. Thus, in this study, a single item inventory system for healthcare was developed using a continuous review (r, Q) policy. A simulation meta-model was constructed to obtain equations for the average on-hand inventory and average number of orders per year. Then, the equations were used to determine the optimal levels of r and Q while minimizing the total cost in an integer non-linear model. The same problem investigated in this study was also solved using OptQuest optimization software. © INTERNATIONAL JOURNAL OF INDUSTRIAL ENGINEERING.eninfo:eu-repo/semantics/closedAccess(r,Q) PolicyHealthcare SystemsInteger Non-linear ProgrammingInventory ControlSimulation Meta-modelingArticle2003.Apr262272Q3N/A