Module 2 - Queues and waiting Lines (Part 1) Flashcards
Examples of industries with Queues
Hospitals, airport, banks, supermarket, entertainment parks, restaurants, call centers
Importance of call center industry
* All 500 companies have at least one call center
* Each firm has an average of 4,500 agents acrross all sites
* North american call centers: 2.9 million agents in 55,000 facilties
* 300 billion spent annually on call centers
How to reduce delay?
Demand side
* Appointments/Reservation
* EZ Pass
* Fast Pass (Disney)
Both
* Surge Pricing
* Self Checkout
Supply side
* Flexible Servers (cross trained)
* Triage
There is a way to optimize the waiting line costs.
Cost - Level of service (y and x diagrams)
- Optimal is the lowest point of total cost
- Decision Problem: Balance capacity cost with waiting cost
Performance measures (5)
Define the 3 parts of the Queue
- System (hole process)
- Queue
- Serve r (service)
How do you define a single server queue?
What is the M/M/1 Queueing system and what are the assumptions?
The simplest queuing model
We impose assumptions:
- Single server
- FCFS dischipline
- Exponential interarrival time
- Exponential service time
What is the Exponential service time?
The time it takes to serve a cusotmer follows an Exponential distribution with parameter u
Time between two successive customer arrivals follows an Exponential distribution with parameter (lambda).
What is the formula for the probability of service time?
Model equation of the m/m/1
The graffic of a single server queuing system
What is the average time in th system and the system utilization?
Suppose the cost of keeping a customer in the system is $5 per
minute, and the cost of having a server with capacity µ
customers per hour, is equal to $(150µ) per hour. What is the
optimal level of capacity for this system
- What is the average time in the system and the system utilization?
Key takeways
- Waiting lines form due to variability
- Basic tradeoff between cost and quality
- Decision:
- Service capacity: service rate (and number of servers)
- System configuration
- Perofrmance measures
- M/M/1 model - Under Exponential service and interarrival times.
- General universal relationship (Little’s Law)