OIDD 101 Lecture Notes - Lecture 5: Standard Deviation, Ibm System R, Takers

• School: UPenn
• Department: Operations, Information and Decisions
• Course: OIDD 101
• Professor: Gerard Cachon& Sergei Savin

Document Summary

Opim 101 - operations & information management - lecture 5: queuing. An arrival rate that predictably exceeds the service rate (i. e. , capacity) of a process causes queues. Ex) a toll booth congestion on the highway. Variation in the arrival and service rates where the average service rate is more than adequate to process the average arrival rate. Ex) calls to a brokerage are unusually high during a particular hour relative to the same hour in other weeks. It is a measure of how variable the inter-arrival times are. Two arrival processes can have the same average inter-arrival time (say 1 minute) but one can have more variation about that average, and so a higher standard deviation. This is an absolute measure of variability. ** two processes can have the same standard deviation but one can seem much more variable than the other, for instance: Inter arrival times can also be described in terms of relative variability (as opposed to absolute)