Simulation in industrial statistics

Rios Insua, D. and Muruzabal, J. and Palomo, J. and Ruggeri, F. and Holgado, J. and Moreno, R. (2004) Simulation in industrial statistics. Technical Report. CNR. Istituto di Matematica Applicata e Tecnologie Informatiche (IMATI). Sezione di Milano, Milano, IT.

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We provide a brief introduction to simulation methods and tools within Industrial Statistics. We illustrate both Monte Carlo and discrete event simulation, within a common framework, through several motiovating examples showing the relevance of simulation. We then describe random number and variate generation, and how to obtain and analyse output data from a simulation model. A case study in modelling a workflow line within the digitalisation industry guides our discussion. Relevant pointers to references and url's are provided.

Item Type: Monograph (Technical Report)
Uncontrolled Keywords: Simulation; Monte Carlo methods; Discrete event simulation; Industrial statistics
Subjects: 500 Scienze naturali e Matematica > 510 Matematica
Depositing User: biblioteca 3
Date Deposited: 15 Mar 2006
Last Modified: 20 May 2010 12:00

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