Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  develops methods to determine appropriate staffing levels in call centers and other many-server queueing systems with time-varying arrival rates. The goal is to achieve targeted time-stable performance, even in the presence of significant time variation in the arrival rates. The main contribution is a flexible simulation-based iterative-staffing algorithm (ISA) for the Mt/G/st + G model---with nonhomogeneous Poisson arrival process (the Mt) and customer abandonment (the + G). For Markovian Mt/M/st + M special cases, the ISA is shown to converge. For that Mt/M/st + M model, simulation experiments show that the ISA yields time-stable delay probabilities across a wide range of target delay probabilities. With ISA, other performance measures---such as agent utilizations, abandonment probabilities, and average waiting times---are stable as ll. The ISA staffing and performance agree closely with the modified-offered-load approximation, which was previously shown to be an effective staffing algorithm without customer abandonment. Although the ISA algorithm so far has only been extensively tested for Mt/M/st + M models, it can be applied much more generally---to Mt/G/st + G models and beyond.
['Zohar Feldman', 'Avishai Mandelbaum', 'William A. Massey', 'Ward Whitt']
I am writing a research paper on a idea Staffing of Time-Varying Queues to Achieve Time-Stable Performance
[{"from": "human", "value": "I am writing a research paper on a idea Staffing of Time-Varying Queues to Achieve Time-Stable Performance"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  develops methods to determine appropriate staffing levels in call centers and other many-server queueing systems with time-varying arrival rates. The goal is to achieve targeted time-stable performance, even in the presence of significant time variation in the arrival rates. The main contribution is a flexible simulation-based iterative-staffing algorithm (ISA) for the Mt/G/st + G model---with nonhomogeneous Poisson arrival process (the Mt) and customer abandonment (the + G). For Markovian Mt/M/st + M special cases, the ISA is shown to converge. For that Mt/M/st + M model, simulation experiments show that the ISA yields time-stable delay probabilities across a wide range of target delay probabilities. With ISA, other performance measures---such as agent utilizations, abandonment probabilities, and average waiting times---are stable as ll. The ISA staffing and performance agree closely with the modified-offered-load approximation, which was previously shown to be an effective staffing algorithm without customer abandonment. Although the ISA algorithm so far has only been extensively tested for Mt/M/st + M models, it can be applied much more generally---to Mt/G/st + G models and beyond."}]