Optimizing Time and Cost Activity based on Discrete Event Simulation with Multi-Objective Optimization Method by Ratio Analysis (MOORA)

Medical waste management in a hospital is critical and must be treated properly. Waste management negligence can lead to accumulation of waste, which can trigger new diseases. One of the reasons for the accumulation of waste is insufficient number of resources. Optimization of the number of workers is important, because it will have an impact on the costs incurred and the complete time of the waste treatment. A simulation of medical waste management processes can portray many situations to provide optimal resources. Several existing research utilize Discrete Event Simulation (DES) to simulate waste processes; however, those publications have not determined optimal amount of resources based on cost and time in different rations and identified the effect of difference in the ratio of cost and time to the number of resources. This paper proposes a combination of Discrete Event Simulation (DES) and MOORA to determine amount of resources in different ratio of time and cost. Then, this paper implements two simulations, i.e., a simulation with small amount of incoming waste and a simulation with high amount of incoming waste, to identify the significant between the ratio of cost and time to the number of workers. This study uses a process model of medical waste management of a hospital in East Java to establish the DES. The results of this study indicate that in the case where there is less waste going in, fewer workers will be required than in the case where there is a lot of waste going in. The difference between the balanced ratio and the unbalanced ratio in the case where there is a small amount of incoming waste also does not have a big impact on the resource requirements of workers. In contrast to the case of a lot of incoming waste, the difference in the ratio will be seen significantly in terms of the number of workers needed for each activity.