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001-es BibID:	BIBFORM102041
035-os BibID:	(cikkazonosító)5012 (Scopus)85130682602 (WOS)000801771800001
Első szerző:	Pusztai László Péter (logisztikai menedzser)
Cím:	Selection of Production Reliability Indicators for Project Simulation Model / Pusztai László Péter, Nagy Lajos, Budai István
Dátum:	2022
ISSN:	2076-3417
Megjegyzések:	Due to technological enhancements, traditional, qualitative decision-making methods are usually replaced by data-driven decision-making even in smaller companies. Process simulation is one of these solutions, which can help companies avoid costly failures as well as evaluate positive or negative effects. The reason for this paper is twofold: first, authors conducted a Quality Function Deployment analysis to find the most vital reliability indicators in the field of production scheduling. The importance was acquired from the meta-analysis of papers published in major journals. The authors found 3 indicators to be the most important: mean time between failure (MTBF), mean repair time and mean downtime. The second part of the research is for the implementation of these indicators to the stochastic environment: possible means of application are proposed, confirming the finding with a case study in which 100 products must be produced. The database created from the simulation is analyzed in terms of major production KPIs, such as production quantity, total process time and efficiency of the production. The results of the study show that calculating with reliability issues in production during the negotiation of a production deadline supports business excellence.
Tárgyszavak:	Társadalomtudományok Gazdálkodás- és szervezéstudományok idegen nyelvű folyóiratközlemény külföldi lapban folyóiratcikk production reliability reliability mean time between failure (MTBF) mean time to repair (MTTR) process simulation project production
Megjelenés:	Applied Sciences-Basel. - 12 : 10 (2022), p. 1-15. -
További szerzők:	Nagy Lajos (1964-) (agrármérnök) Budai István (1977-) (folyamatmérnök)
Internet cím:	Szerző által megadott URL DOI Intézményi repozitóriumban (DEA) tárolt változat
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