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A simulation model is often used as a proxy for the real system of interest in a decision-making process. However, no simulation model is totally representative of the reality. The impact of the model inadequacy on the prediction of system performance should be carefully assessed. We propose a new metamodeling approach to simultaneously characterize both the simulation model and its model inadequacy...
We consider a Bayesian ranking and selection problem in the presence of input distribution uncertainty. The distribution uncertainty is treated from a robust perspective. A naive extension of the knowledge gradient (KG) policy fails to converge in the new robust setting. We propose several stationary policies that extend KG in various aspects. Numerical experiments show that the proposed policies...
Emotion is an important catalyst which affects a customer in the process of buying service, it shows satisfaction of customers for goods and services, and changes the loyalty of customers to the enterprise in the future. Customer complaints often reflect the quality of service objectively and customer emotion. Therefore, the paper use customer complaints of information service enterprise for data...
Study on the thermal process in repetitively operated electron beam collectors of relativistic backward wave oscillators is proposed. Using Monte Carlo method, the energy deposition of the beam was calculated. With energy deposition as the internal heat generation, numerical model of thermal process in collectors was estimated in finite element method. Temperature development was obtained and compared...
We propose a new algorithm for identifying the duration of the initial transient for a regenerative stochastic process. The algorithm involves re-sampling of the simulated cycles, and therefore has a “bootstrap” flavor. The paper includes a derivation of the estimator for the duration of the transient that offers theoretical support for its validity, and provides a preliminary numerical investigation...
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