<abstract xmlns="http://www.w3.org/1999/xhtml"><p>The article presents the methodology of controlling stock of spare parts during short-run production of current equipment. A pseudo-random number generator has been developed, whose main task is to estimate the expected value E (Y) of the random variable Y which is the number of exchanges of a spare part of a particular equipment. By means of a Monte Carlo computer simulation, pseudo-random numbers are generated with a uniform distribution from the interval (0.1). These numbers, based on the cumulative distribution inversion method, are transformed into a form of distribution that uniquely determines the optimal size of spare parts</p></abstract>

The article presents the methodology of controlling stock of spare parts during short-run production of current equipment. A pseudo-random number generator has been developed, whose main task is to estimate the expected value E (Y) of the random variable Y which is the number of exchanges of a spare part of a particular equipment. By means of a Monte Carlo computer simulation, pseudo-random numbers are generated with a uniform distribution from the interval (0.1). These numbers, based on the cumulative distribution inversion method, are transformed into a form of distribution that uniquely determines the optimal size of spare parts

Management of the Spare Parts Storage in the Production Process Using the Monte Carlo Method

Conference Quality Production Improvement – CQPI

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

The article presents the methodology of controlling stock of spare parts during short-run production of current equipment. A pseudo-random number generator has...

Management of the Spare Parts Storage in the Production Process Using the Monte Carlo Method

Publicado en línea: 08 oct 2019

Páginas: 261 - 267

Recibido: 25 mar 2019

Aceptado: 14 may 2019

DOI: https://doi.org/10.2478/cqpi-2019-0035

Palabras clave
spare parts, Monte Carlo simulation, pseudo-random number generator

© 2019 Paweł Ślaski, published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Management of the Spare Parts Storage in the Production Process Using the Monte Carlo Method

Publicado en línea: 08 oct 2019

Páginas: 261 - 267

Recibido: 25 mar 2019

Aceptado: 14 may 2019

DOI: https://doi.org/10.2478/cqpi-2019-0035

Palabras clavespare parts, Monte Carlo simulation, pseudo-random number generator

© 2019 Paweł Ślaski, published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Palabras clave
spare parts, Monte Carlo simulation, pseudo-random number generator