Optimal design of simulation experiments with nearly saturated queues

Simulation Models;Interpolation;Queueing Network;Extrapolation

Computer experiment - a case study for modelling and simulation of manufacturing systems

Deterministic computer simulation of physical experiments is now a common technique in science and engineering. Often, physical experiments are too time consuming, expensive or impossible to conduct. Complex computer models or codes, rather than physical experiments lead to the study of computer experiments, which are used to investigate many scientific phenomena. A computer experiment consists of a number of runs of the computer code with different input choices. The Design and Analysis of Computer Experiments is a rapidly growing technique in statistical experimental design. This paper aims to discuss some practical issues when designing a computer simulation and/or experiments for manufacturing systems. A case study approach is reviewed and presented

Sensitivity analysis of simulation experiments: Regression analysis and statistical design

Simulation;mathematische statistiek

Improved design of queuing simulation experiments with highly heteroscedastic responses

queueing network;experimental design

Optimal design of experiments with simulation models of nearly saturated queues

experimental design;simulation models;queueing network;regression analysis