<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

Online veröffentlicht: 08. Okt. 2019

Seitenbereich: 261 - 267

Eingereicht: 25. März 2019

Akzeptiert: 14. Mai 2019

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

Schlüsselwörter
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

Online veröffentlicht: 08. Okt. 2019

Seitenbereich: 261 - 267

Eingereicht: 25. März 2019

Akzeptiert: 14. Mai 2019

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

Schlüsselwörterspare 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.

Schlüsselwörter
spare parts, Monte Carlo simulation, pseudo-random number generator