Showing 1 - 10 of 4,539
In this paper, we present a simulation optimization algorithm for solving the two-echelon constrained inventory problem … with other existing simulation algorithms. …
Persistent link: https://www.econbiz.de/10010666130
Consider a stochastic system of such complexity that its performance can only be evaluated by using simulation or …
Persistent link: https://www.econbiz.de/10009191240
We present a general framework for applying simulation to optimize the behavior of discrete event systems. Our approach … decision parameters. We then show how simulation and the likelihood ratio method can be used to evaluate the performance …
Persistent link: https://www.econbiz.de/10009191300
Transshipments, monitored movements of material at the same echelon of a supply chain, represent an effective pooling mechanism. Earlier papers dealing with transshipments either do not incorporate replenishment lead times into their analysis, or only provide a heuristic algorithm where...
Persistent link: https://www.econbiz.de/10011043262
This paper is concerned with the study of a circular random distribution called geodesic normal distribution recently proposed for general manifolds. This distribution, parameterized by two real numbers associated to some specific location and dispersion concepts, looks like a standard Gaussian...
Persistent link: https://www.econbiz.de/10010995021
identification is achieved by constraining the uncertainty parameters to be constant across latent classes. A simulation experiment …
Persistent link: https://www.econbiz.de/10010995282
multivariate distributions. Our extensive simulation studies investigate the small sample properties of these models and examine …
Persistent link: https://www.econbiz.de/10009651792
multivariate distributions. Our extensive simulation studies investigate the small sample properties of these models and examine …
Persistent link: https://www.econbiz.de/10009278623
This paper is concerned with the Bayesian estimation of non-linear stochastic differential equations when only discrete observations are available. The estimation is carried out using a tuned MCMC method, in particular a blocked Metropolis-Hastings algorithm, by introducing auxiliary points and...
Persistent link: https://www.econbiz.de/10010605114
This paper is concerned with the estimation of stochastic differential equations when only discrete observations are available. It primarily focuses on deriving a closed form solution for the one-step ahead conditional transition density using the Milstein scheme. This higher order Taylor...
Persistent link: https://www.econbiz.de/10010605298