Abstract: Private sector operators of response services such as ambulance, fire or police etc. are often regulated by targets on the distribution of response times. This may result in inefficient overstaffing to ensure those targets are met. In this paper, we use a network chain of M/M/K queues to model the arrival and completion of jobs on the system so that quantities such as the expected total time waiting for all jobs can be calculated. The Markov nature enables us to evoke the Hamilton Jacobi Bellman equation (HJB) principle to optimize the required number of staff whilst still meeting targets.
Optimization of scheduled arrival times to an appointment system is approached from the perspectives...
In many service systems, the arrival pattern is not constant throughout the day. This raises the que...
Service operations are often characterized as a seemingly endless series of waiting lines and server...
Private sector operators of response services such as ambulance, fire or police etc. are often regul...
We derive a lower bound for the staffing levels required to meet a projected load in a retail servic...
We study the employee staffing problem in a service organization that uses employee service capacity...
We study the employee staffing problem in a service organization that uses employee service capacity...
An incentive scheme aimed at reducing patients' waiting times in accident and emergency departments ...
In a call center, staffing decisions must be made before the call arrival rate is known with certain...
One traditional application of queueing models is to help set staffing requirements in service syste...
Customer demand is sensitive to the price paid for the service in many service environments. Using q...
Traditionally, research focusing on the design of routing and staffing policies for service systems ...
staffing, time-varying demand, queueuing systems, simulationPurpose: This paper introduces a procedu...
We synergistically apply queueing theory, integer programming, and stochastic simula-tion to determi...
As the prominence of the service sector is increasing in developed nations, new and exciting opportu...
Optimization of scheduled arrival times to an appointment system is approached from the perspectives...
In many service systems, the arrival pattern is not constant throughout the day. This raises the que...
Service operations are often characterized as a seemingly endless series of waiting lines and server...
Private sector operators of response services such as ambulance, fire or police etc. are often regul...
We derive a lower bound for the staffing levels required to meet a projected load in a retail servic...
We study the employee staffing problem in a service organization that uses employee service capacity...
We study the employee staffing problem in a service organization that uses employee service capacity...
An incentive scheme aimed at reducing patients' waiting times in accident and emergency departments ...
In a call center, staffing decisions must be made before the call arrival rate is known with certain...
One traditional application of queueing models is to help set staffing requirements in service syste...
Customer demand is sensitive to the price paid for the service in many service environments. Using q...
Traditionally, research focusing on the design of routing and staffing policies for service systems ...
staffing, time-varying demand, queueuing systems, simulationPurpose: This paper introduces a procedu...
We synergistically apply queueing theory, integer programming, and stochastic simula-tion to determi...
As the prominence of the service sector is increasing in developed nations, new and exciting opportu...
Optimization of scheduled arrival times to an appointment system is approached from the perspectives...
In many service systems, the arrival pattern is not constant throughout the day. This raises the que...
Service operations are often characterized as a seemingly endless series of waiting lines and server...
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