Development and Evaluation of Overall Equipment Effectiveness of Knitting Machines Using Statistical Tools
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41310%2F22%3A96661" target="_blank" >RIV/60460709:41310/22:96661 - isvavai.cz</a>
Nalezeny alternativní kódy
RIV/60460709:41310/23:94747
Výsledek na webu
<a href="https://doi.org/10.1177/21582440221091249" target="_blank" >https://doi.org/10.1177/21582440221091249</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1177/21582440221091249" target="_blank" >10.1177/21582440221091249</a>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Development and Evaluation of Overall Equipment Effectiveness of Knitting Machines Using Statistical Tools
Popis výsledku v původním jazyce
In manufacturing industries, well-maintained machines ensure their maximum utilization with good product quality, efficient time, and minimum cost. The objective of this study is to investigate a socks manufacturing line to propose an advanced maintenance plan based on Overall Equipment Effectiveness (OEE) to improve the overall maintenance along with better machine performance and product quality. Firstly, a socks manufacturing unit was selected and its maintenance-related problems were identified. It was observed that, among the six big losses, three losses have the major contribution in reducing the world-class value of OEE. Then a framework was designed based on the OEE model with the amalgamation of problem-solving tools to overcome the identified problems and reduce the contribution of three big losses. After the successful implementation of the proposed model, a significant reduction in the value of three big losses was observed that ultimately improve the value of OEE factors for the socks knitting machines by 2.18%. The statistical analysis is also conducted using three types of statistical tests, the Normality test, Wilcoxon signed-rank test, and Paired samples t-test. Kolmogorov-Smirnov (KS) test by Statistical Analysis Software (SAS). This paper points out a new proposed model of advanced OEE, which can improve machine maintenance, productivity, and quality in a better way as compared to the conventional OEE model.
Název v anglickém jazyce
Development and Evaluation of Overall Equipment Effectiveness of Knitting Machines Using Statistical Tools
Popis výsledku anglicky
In manufacturing industries, well-maintained machines ensure their maximum utilization with good product quality, efficient time, and minimum cost. The objective of this study is to investigate a socks manufacturing line to propose an advanced maintenance plan based on Overall Equipment Effectiveness (OEE) to improve the overall maintenance along with better machine performance and product quality. Firstly, a socks manufacturing unit was selected and its maintenance-related problems were identified. It was observed that, among the six big losses, three losses have the major contribution in reducing the world-class value of OEE. Then a framework was designed based on the OEE model with the amalgamation of problem-solving tools to overcome the identified problems and reduce the contribution of three big losses. After the successful implementation of the proposed model, a significant reduction in the value of three big losses was observed that ultimately improve the value of OEE factors for the socks knitting machines by 2.18%. The statistical analysis is also conducted using three types of statistical tests, the Normality test, Wilcoxon signed-rank test, and Paired samples t-test. Kolmogorov-Smirnov (KS) test by Statistical Analysis Software (SAS). This paper points out a new proposed model of advanced OEE, which can improve machine maintenance, productivity, and quality in a better way as compared to the conventional OEE model.
Klasifikace
Druh
J<sub>imp</sub> - Článek v periodiku v databázi Web of Science
CEP obor
—
OECD FORD obor
20501 - Materials engineering
Návaznosti výsledku
Projekt
—
Návaznosti
S - Specificky vyzkum na vysokych skolach
Ostatní
Rok uplatnění
2022
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název periodika
SAGE Open
ISSN
2158-2440
e-ISSN
2158-2440
Svazek periodika
12
Číslo periodika v rámci svazku
APR 2022
Stát vydavatele periodika
US - Spojené státy americké
Počet stran výsledku
18
Strana od-do
—
Kód UT WoS článku
000786322700001
EID výsledku v databázi Scopus
2-s2.0-85128750318