Figure exhibits an approximate activation time of 2 seconds is observable upon restarting the UR5-OMNI node in the "Synth to OMNI" task following the conclusion of the same node in the "OMNI to NMR" task. This delay is attributed to the requisite time for the system to update the node status, thereby enabling its reuse for new assignments. The alignment between the two tasks is illustrated by the vertical dotted line. Furthermore, a shift of approximately 5 seconds at the inception of the three distinct tasks is also observable. This discrepancy can be attributed to the FIFO methodology employed by the Swiss Cat+ REST-API-based Main Laboratory Scheduler, which invokes the workflows at the level of the Robot Sub-Scheduler. It is evident from this figure that the GLAS parallelization substantially accelerates task execution in comparison to a pure FIFO approach, wherein all tasks are managed sequentially by a single main lab scheduler. In such a case, the total execution time would be the sum of the three workflows presented, with the addition of the same initial 5-second average shift between each node, resulting in a total of approximately 173 seconds instead of the 42 seconds shown in Figure . It seems reasonable to posit that the ratio of 173/42 (approximately 4.2 times faster) between a centralized FIFO scheduling approach and the GLAS parallelized architecture would be maintained when chemical operation times are taken into account. Indeed, this ratio would likely be increased, given that these operations typically span a range of minutes to hours. The parallelization of these processes therefore has a significant impact. It could therefore be of great interest to extend the number of layers in order to increase the potential of parallelization. A detailed analysis of GLAS execution time in comparison with different scheduling methodologies as the Main Laboratory Scheduler is planned for future study.