Real life queue - how to model?

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SUMMARY

This discussion focuses on modeling real-life queuing scenarios for photo printing at an event, specifically comparing two approaches: Scenario A, where customers scan bar-coded dockets at one of eight print stations, and Scenario B, where customers walk through a maze while their prints are prepared. The key takeaway is that Scenario B can create the perception of no wait time, enhancing customer experience. The discussion emphasizes the importance of using queuing theory, particularly Kendall's notation, and suggests computer simulations as a method for analyzing these scenarios.

PREREQUISITES
  • Understanding of queuing theory concepts
  • Familiarity with Kendall's notation
  • Basic programming skills for computer simulations
  • Knowledge of print job management and load balancing techniques
NEXT STEPS
  • Research Kendall's notation for queuing models
  • Learn about computer simulation techniques for queuing analysis
  • Explore load balancing algorithms for print job distribution
  • Investigate customer experience optimization in queuing systems
USEFUL FOR

This discussion is beneficial for event planners, software developers working on queuing systems, and anyone interested in optimizing customer flow in service environments.

Osmium
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People queuing to pick up photos at an event. They have a bar-coded docket. By scanning the docket, printing is initiated on one of eight printers. Each printer takes 40 seconds to print a photo - the software chooses the least heavily loaded print queue - or uses a round-robin approach if print jobs are zero. Working together the printers can produced a print, on average, every 5 seconds.

Scenario A
Each printer has a bar-code reader. Person walks up to one of eight "print stations" and scans their docket. 40 seconds later they have their print. So this is not spreading the load via software, this is much like a shop queue with people going to the next available print station.

Scenario B
People enter a "walking maze" - a zigzag line estimated to take 40 seconds to walk through. The dockets are scanned at the entry to the maze. At least initially, when the person arrives at the printer line, their print will be ready for them. This gives the illusion of no wait time - they just happen to be walking while waiting.

Criteria: A constantly moving line is "better" than a line which requires people to stop and wait. This is more a people perception thing.

What models can I use to compare these scenarios? The number of printers can vary - so I can use this to increase the flow rate. I'd like to be able to see under what conditions scenario B would result in a stopped line of people. If someone can point me to the sources of information I need, that would be greatly appreciated.

I'm a queuing theory newbie but I learn fast...
 
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I'm, not sure what the question is.
Some things just happen if the circumstances make it likely.
I don't know of a theory which requires things to stand in a line on order for the truth to be known.
I'm quite left leaning but not that bad,
 
Osmium said:
What models can I use to compare these scenarios?

If you want a theoretical approach, you can begin by picking the appropriate Kendall notations for you scenarios:
http://en.wikipedia.org/wiki/Kendall's_notation

If you can write computer programs, I'd suggest using computer simulations to analyze the problem.
 

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