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Managing Queues - Coggle Diagram
Managing Queues
Basic assumptions of simulations
First come, first served
Servers perform identical services
Random arrivals and service
Statistical equilibrium (steady state)
Infinite source of potential customers
Appropriate queue behavior
Uniform service effectiveness
Performance Characteristics of waiting-line systems
Utilization factor
measures the percentage of time that servers are busy with costumers.
Idle time
the amount of time a server is inactive while waiting for customers to arrive.
Line length
the number of costumers or items waiting in line for a services to be begin.
Little’s Law
a formula that measures the relationship among the line length, the arrival rate, and the waiting time.
Waiting time
the amount of time a costumer or an item spends in line before a service begins.
Perceived vs actual waiting time
Customers’ perception of service quality is influenced by waiting time experiences.
Psychological factors that increase negative perception of a wait (making it feel longer
Distraction
Moment
Anxiety
Uncertainty
Explanation
Fairness
Value
Solo wait