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Optimal Resource Capacity Management for Stochastic Networks
2017
Operations Research
We develop a general framework for determining the optimal resource capacity for each station comprising a stochastic network, motivated by applications arising in computer capacity planning and business process management. The problem is mathematically intractable in general and therefore one typically resorts to either overly simplistic analytical approximations or very time-consuming simulations in conjunction with metaheuristics. In this paper we propose an iterative methodology that relies
doi:10.1287/opre.2016.1554
fatcat:c65kqhibpbhs7lygmhq525gs7q