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Software for Queueing Analysis

Software for Queueing Analysis

Copyright: © 2018 |Pages: 37
ISBN13: 9781522552642|ISBN10: 1522552642|EISBN13: 9781522552659
DOI: 10.4018/978-1-5225-5264-2.ch008
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MLA

Salvador Hernandez-Gonzalez and Manuel Dario Hernandez Ripalda. "Software for Queueing Analysis." Managerial Approaches Toward Queuing Systems and Simulations, IGI Global, 2018, pp.255-291. https://doi.org/10.4018/978-1-5225-5264-2.ch008

APA

S. Hernandez-Gonzalez & M. Hernandez Ripalda (2018). Software for Queueing Analysis. IGI Global. https://doi.org/10.4018/978-1-5225-5264-2.ch008

Chicago

Salvador Hernandez-Gonzalez and Manuel Dario Hernandez Ripalda. "Software for Queueing Analysis." In Managerial Approaches Toward Queuing Systems and Simulations. Hershey, PA: IGI Global, 2018. https://doi.org/10.4018/978-1-5225-5264-2.ch008

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Abstract

Chapter 8 gives a brief discussion of computer simulation for discrete events. The chapter lists software programs in the technical literature that outline programs for the simulation of discrete events, both of commercial origin and free programs. In addition to the lists submitted, the authors present specialized packages for analysis and simulation of waiting lines in the R language. Statistical considerations are presented, which must be taken into account when obtaining data from simulations in situations of waiting lines. Chapter 8 presents three packages of the statistical program R: the “queueing” analysis package provides versatile tools for analysis of birth- and death-based Markovian queueing models and single and multiclass product-form queueing networks; “simmer” package is a process-oriented and trajectory-based discrete-event simulation (DES) package for R; and, the purpose of the “queuecomputer” package is to calculate, deterministically, the outputs of a queueing network, given the arrival and service times of all the customers. It also uses simulation for the implementation of a method for the calculation of queues with arbitrary arrival and service times. For each theme, the authors show the use of the packages in R.

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