Little’s Law is a fundamental relationship in queuing theory that links the average number of items in a system (WorkβinβProcess, WIP), the average time an item spends in the system (Cycle Time, CT), and the average rate at which items leave the system (Throughput, T).
In a stable manufacturing environment, the law can be expressed as:
By rearranging the equation, planners can solve for any of the three variables, enabling quick decisions about capacity, inventory levels, and production scheduling.
What is Little’s Law?
How do I calculate throughput using Little’s Law?
What does WIP stand for in the context of Little’s Law?
How can I improve throughput according to Little’s Law?
Is Little’s Law applicable only in manufacturing?
What are the assumptions of Little’s Law?
How does cycle time affect throughput?
Results are for informational purposes only and do not constitute professional advice.
