Scrum pennygame
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The document outlines a scrum penny game experiment to demonstrate concepts from queueing theory. Players take on roles like worker, manager, and customer to simulate a production process where workers flip coins and pass batches to customers. Little's law is described, which states that the average number of customers in a system equals the arrival rate multiplied by the average time a customer spends in the system. The experiment will take place in multiple Chinese cities from mid-October through November.
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Scrum pennygame
- 4. Team Layout
- 5. Instructions Worker Flipping the coin Manager Track his worker’s working time Customer Track the time from released until the first coin arrived President Track the time from requirement released until the last coin arrived.
- 6. Constraints All worker work on left hand only Worker may not combine coin A worker may only pass one complete batch The moderator will specify batch size
- 8. Little’s Law The long-term average number of customers in a stable system L is equal to the long-term average arrival rate, λ , multiplied by the long-term average time a customer spends in the system, W ; or expressed algebraically: L = λW .
- 9. Little’s Law Total Cycle Time = Number of Things in Process Average Completion Rate
- 10. Mid Oct -> November Beijing, Shanghai, Shenzhen, Chengdu, Hangzhou
Editor's Notes
- #9: The long-term average number of customers in a stable system L is equal to the long-term average arrival rate, λ, multiplied by the long-term average time a customer spends in the system, W , or: L = λ W 即在一个稳定的系统中长期的平均客户数 L 等于长期的平均到达率 λ 乘以一个客户在系统中花费的长期的平均时间 W 。
- #10: 任务完成周期 (Cycle Time)= ( 正在同时处理的任务数 ) / ( 平均任务完成率 ) 。 （在稳定的（即满负荷）系统中，到达率与完成率是一样的。好比在餐馆，要有一桌走了才能进下一桌的人。） 扩容， ROI 队列存在于产品级别的系统，团队级别的系统，开发或测试的系统