Screening for the Important Factors in Large Discrete-Event Simulation Models: Sequential Bifurcation and Its Applications

Kleijnen, J.P.C.; Bettonvil, B.W.M.; Persson, Fredrik

doi:10.1007/0-387-28014-6_13

Cited by 37 publications

(20 citation statements)

References 11 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…A series of methods, which are represented by sequential bifurcation [5] , are used more. The SB puts all factors into the same group firstly, then determine whether there is an important factor in this group.…”

Section: Sequential Bifurcationmentioning

confidence: 99%

Framework of simulation experiment factors screening for equipment system

2017

The 5th International Conference on Advanced Computer Science Applications and Technologies (ACSAT 2017)

View full text Add to dashboard Cite

Abstract. The characteristic of the equipment system's complexity makes the simulation facing the problem of massive factors, easily lead to combination blasting on the simulation experiment design, and then put forward the framework of screening factor for equipment simulation experiment system. First of all, the characteristics of the simulation experiment of the equipment system are analyzed, and the simulation index is determined from the user's point of view. Secondly, the factor sample space is studied, and the relevant factors are selected according to the experiment index, factors are normalized next. Then select the appropriate screening method to extract the important factors for the sample space and specific problems, and finally verify. Based on the analysis of the experiment index, the study of the sample space, the extraction and validation of the important factors, a set of complete screening scheme is proposed, it has certain significance for the design of equipment system simulation experiment.

show abstract

Section: Sequential Bifurcationmentioning

confidence: 99%

Framework of simulation experiment factors screening for equipment system

2017

The 5th International Conference on Advanced Computer Science Applications and Technologies (ACSAT 2017)

View full text Add to dashboard Cite

show abstract

“…The steps are showed below: 1) Select the group whose dimensions are from j′ to j and estimate expected value of the This section introduces a simple algorithm (i.e., sequential bifurcation) for screening operation in MVS. SB method based on some assumptions is effective and efficient in the solving of many practical problems(i.e., supply chain analysis [6), And some investigator, such as the authors of [7][8][9] have successfully extended the simple SB.…”

Section: ( );mentioning

confidence: 99%

Monotonic Vector Space Model (Ⅰ): Concepts and Operations

Hu¹

2014

AJOR

View full text Add to dashboard Cite

Monotonic vector space (MVS), as a novel model in which there exist some monotonic mappings, is proposed. MVS model is an abstract of many practical problems (such as image processing, system capability engineering, etc.) and includes many useful important operations. This paper, as the first one of series papers, discusses the MVS framework, relative important concepts and important operations including partition, synthesis, screening, sampling, etc. And algorithms for these operations are the focus of this paper. The application of these operations in system capability engineering will be dealt with in the second part of this series of papers.

show abstract

“…In the study of a supply chain, Kleijnen, Bettonvil, and Persson (2006) discuss screening techniques in a simulation study involving 92 factors. Here we consider data collected from a set of 128 simulation runs (using a Plackett-Burman design) given in the following link: <Ericsson EG>.…”

Section: Examplementioning

confidence: 99%

Resampling methods of analysis in simulation studies

Cheng¹,

Currie²

2009

Proceedings of the 2009 Winter Simulation Conference (WSC)

View full text Add to dashboard Cite

This is an introductory tutorial on the statistical analysis of simulation output, but focusing on the (elementary) use of resampling, and related computer intensive techniques. The aspects covered are (i) input modeling (ii) output analysis (iii) model validation and (iv) model building and selection. The presentation will be very practically oriented including a fair number of real-time spreadsheet demonstrations. The demonstration worksheets will be made freely available online, and participants are actively encouraged to download them to try out the methods in their own simulations.

show abstract

Screening for the Important Factors in Large Discrete-Event Simulation Models: Sequential Bifurcation and Its Applications

Cited by 37 publications

References 11 publications

Framework of simulation experiment factors screening for equipment system

Framework of simulation experiment factors screening for equipment system

Monotonic Vector Space Model (Ⅰ): Concepts and Operations

Resampling methods of analysis in simulation studies

Contact Info

Product

Resources

About