To improve the utilization of waste, quality assurance should be established as real-time measurement with sensors. This thesis aims to research literature on possible measuring methods and the required sensor technology. Furthermore, the real-time quality assurance for non-hazardous mixed commercial waste is to be prepared in the test facility of the chair - the Digital Waste Research Lab - by determining how long the sample material fed in as a batch must be circulated in the plant in order to achieve a uniform material distribution over time on the plant or the analysis conveyor belt. Additionally, it is necessary to determine which combination of feeding conveyor speed and intensity of the vibrating feeder for different particle sizes and material amounts are the most suitable to reach an occupation density between 10 and 20% on the acceleration belt. For this purpose, near-infrared data of multiple samples of mixed commercial waste (325-800l) in the particle size class 40-100 mm were analyzed and compared. The key finding of the literature research is that the chosen quality parameters material composition, ash content, particle size, chlorine content, moisture content and calorific value can be measured using an near-infrared sensor. The series of tests show that a minimum speed is required to even the material flow. Samples with less volume even out in shorter periods. The optimum speed setting for achieving the target belt occupancy depends mainly on the sample volume. In this series of tests, no statement about the influence of the intensity of the vibrating feeder could be made. For a sample in the particle size class 40-60 mm (38 kg, 490l), the target range of the desired belt occupancy (10-20%) could be achieved for 74% with a speed of the feeding conveyor of 18% and an intensity of the vibrating feeder of 77%. A throughput of 28m³/h or 2 t/h was reached in the test facility.