A new algorithm namely the interval sampling method, applicable to the analysisof steady-state simulation output is proposed. This algorithm uses the time series analysisto carry out conrrelation analysis of the stead...A new algorithm namely the interval sampling method, applicable to the analysisof steady-state simulation output is proposed. This algorithm uses the time series analysisto carry out conrrelation analysis of the steady-state simulation output so as to obtain theobservation data which are actually uncorrelated in nature. On the basis of theseuncorrelated data gathered, some satisfactory deductions cam be made on the data under re search. A comparison between batch means method and the interval sampling method hasbeen performed by taking the M/M/l queuing system as an example. The results attestedthat the interval sampling method is mere accurate than the batch means method.展开更多
A simulation tool named BITSIM orienting production engineering is developed in order to improve enterprise＇s productivity and making up the scarcity of computer application. The architecture of BITSIM is presented f...A simulation tool named BITSIM orienting production engineering is developed in order to improve enterprise＇s productivity and making up the scarcity of computer application. The architecture of BITSIM is presented first. Hierarchical technique, control strategy based on multi-agent and simulation output analysis are depicted in detail then. In the end, an application example is taken out to prove that this system could be used to analyzing different hypothetical situation and configuring the auxiliary manufacturing system before production.展开更多
This paper discusses a new nonparametric statistical method and applies it to simulation output analysis. This can be used to overcome the limitations of the traditional methods. The steps of making bootstrap interval...This paper discusses a new nonparametric statistical method and applies it to simulation output analysis. This can be used to overcome the limitations of the traditional methods. The steps of making bootstrap interval estimation are given. The simulation results for the examples show that the bootstrap method can produce the valid confidence intervals and improve the simulation precision.展开更多
In the simulation output analysis,there are some measures that should be calculated by time average concept such as the mean queue length.Especially,the confidence interval of those measures might be required for stat...In the simulation output analysis,there are some measures that should be calculated by time average concept such as the mean queue length.Especially,the confidence interval of those measures might be required for statistical analysis.In this situation,the traditional method that utilizes the central limit theorem(CLT)is inapplicable if the output data set has autocorrelation structure.The bootstrap is one of the most suitable methods which can reflect the autocorrelated phenomena in statistical analysis.Therefore,the confidence interval for a time averaged measure having autocorrelation structure can also be calculated by the bootstrap methods.This study introduces the method that constructs these confidence intervals applying the bootstraps.The bootstraps proposed are the threshold bootstrap(TB),the moving block bootstrap(MBB)and stationary bootstrap(SB).Finally,some numerical examples will be provided for verification.展开更多
文摘A new algorithm namely the interval sampling method, applicable to the analysisof steady-state simulation output is proposed. This algorithm uses the time series analysisto carry out conrrelation analysis of the steady-state simulation output so as to obtain theobservation data which are actually uncorrelated in nature. On the basis of theseuncorrelated data gathered, some satisfactory deductions cam be made on the data under re search. A comparison between batch means method and the interval sampling method hasbeen performed by taking the M/M/l queuing system as an example. The results attestedthat the interval sampling method is mere accurate than the batch means method.
文摘A simulation tool named BITSIM orienting production engineering is developed in order to improve enterprise＇s productivity and making up the scarcity of computer application. The architecture of BITSIM is presented first. Hierarchical technique, control strategy based on multi-agent and simulation output analysis are depicted in detail then. In the end, an application example is taken out to prove that this system could be used to analyzing different hypothetical situation and configuring the auxiliary manufacturing system before production.
文摘This paper discusses a new nonparametric statistical method and applies it to simulation output analysis. This can be used to overcome the limitations of the traditional methods. The steps of making bootstrap interval estimation are given. The simulation results for the examples show that the bootstrap method can produce the valid confidence intervals and improve the simulation precision.
文摘In the simulation output analysis,there are some measures that should be calculated by time average concept such as the mean queue length.Especially,the confidence interval of those measures might be required for statistical analysis.In this situation,the traditional method that utilizes the central limit theorem(CLT)is inapplicable if the output data set has autocorrelation structure.The bootstrap is one of the most suitable methods which can reflect the autocorrelated phenomena in statistical analysis.Therefore,the confidence interval for a time averaged measure having autocorrelation structure can also be calculated by the bootstrap methods.This study introduces the method that constructs these confidence intervals applying the bootstraps.The bootstraps proposed are the threshold bootstrap(TB),the moving block bootstrap(MBB)and stationary bootstrap(SB).Finally,some numerical examples will be provided for verification.
