Grab-A-Bite (C): Case Analysis assignment Alongside process improvement efforts, Anisha also instituted a formal process control mechanism. G-a-B took a sample of 50 orders every hour (with the business scaling up, G-a-B was now delivering many more orders per hour) to check if the process was in control. Following industry norms, Anisha used the 3-sigma rule, i.e., the control limits were set at ,u i 3 0'17. One of the key drivers of external variability affecting G-a-B's process is large orders from customers, delaying G-a-B's orders. It has been seen in the past that when this happens the mean delivery time increases by 2.5 minutes but doesn't affect variability of delivery times significantly. As Anisha sat down to compile all the benefits from the process improvements described in G-a-B (C), she wondered if the higher sigma-capability will allow G-a-B to detect the external variability faster than before? Remember, before the process improvement initiative efforts described in G-a-B (C), the average delivery time and standard deviation of delivery time were 19.32 minutes and 7.73 minutes, respectively. Some tips and directions for analysis: 1. Think like a process improvement leader/practitioner to compare how the original process and the improved process is affected by external variability. 2. Detection of the external shock/variability allows G-a-B to take managerial action to address the situation. Think how the higher sigma-capability of the improved process can help detect the external shock/variability compared to the original process