Question: Little's Law is a theorem that determines the average number of items in a stationary queuing system, based on the average waiting time of an
"Little's Law is a theorem that determines the average number of items in a stationary queuing system, based on the average waiting time of an item within a system and the average number of items arriving at the system per unit of time." Little's Law can be represented as:
Question 1 options:
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Inventory = Flow Rate x Flow Time
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Inventory = Flow Rate + Flow Time
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Inventory = Flow Rate x Interarrival Time
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Inventory = Interarrival Rate + Interarrival Time
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2.
Consider a process that has 3 stations, ordered in sequence: 1, 2, and 3. At each station, two consecutive tasks are performed one after the other. The time (in seconds per unit) it takes for a single person to perform each task is given in the table below (e.g., task A2 takes 10 seconds per unit):
| Station | # of Workers | Task A1 | Task A2 | Task B1 | Task B2 | Task C1 | Task C2 |
| 1 | 1 | 20 | 10 | - | - | - | - |
| 2 | 2 | - | - | 40 | 40 | - | - |
| 3 | 1 | - | - | - | - | 1 |
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The table also gives the number of workers at each station. What is the capacity of this process (in units per minute)? (Round the answer to 1 decimal place.)
Question 2 options:
| 3.0 units/minute | |
| 2.5 units/minute | |
| 2.0 units/minute | |
| 1.5 units/minute |
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