Model for improvement of overall equipment effectiveness of beerfilling lines
In this article, the efficiency loss of a beer filling line is investigated and modeled to improve its system performance in terms of overall equipment effectiveness and productivity. First, research is aimed at problems related to beer filling line resulting from poor production management where ut...
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2018-08-01
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Series: | Advances in Mechanical Engineering |
Online Access: | https://doi.org/10.1177/1687814018789247 |
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doaj-bd72a7f11c444c6399ab7e8db34323462020-11-25T04:10:52ZengSAGE PublishingAdvances in Mechanical Engineering1687-81402018-08-011010.1177/1687814018789247Model for improvement of overall equipment effectiveness of beerfilling linesFei HeKang ShenLijing LuYifei TongIn this article, the efficiency loss of a beer filling line is investigated and modeled to improve its system performance in terms of overall equipment effectiveness and productivity. First, research is aimed at problems related to beer filling line resulting from poor production management where utilization and productivity of filling machines are low. This article derives the overall equipment effectiveness of filling machines and overall throughput effectiveness of the filling line, with the overall throughput effectiveness of general system (OTE (S) ) obtained based on these measurements. Based on these metrics, the efficiency evaluation system is established. Next, according to the efficiency evaluation indexes, overall equipment effectiveness, and OTE (S) , the overall efficiency of filling machines and filling line are calculated, respectively. From the results, the stenciling machine has the lowest efficiency. However, considering overall throughput effectiveness indexes and production capacity, unit 3 is the bottleneck and limits the entire productivity. Finally, efficiency loss is analyzed based on the overall equipment effectiveness and OTE (S) calculation results. Using a fishbone diagram for analysis, the cause of equipment loss is summarized and countermeasures are offered. Theory of constraint is used to analyze the efficiency loss of the filling line and give suggestions for improvement. This research can help beer enterprises achieve continuous improvement of equipment efficiency and production capacity.https://doi.org/10.1177/1687814018789247 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Fei He Kang Shen Lijing Lu Yifei Tong |
spellingShingle |
Fei He Kang Shen Lijing Lu Yifei Tong Model for improvement of overall equipment effectiveness of beerfilling lines Advances in Mechanical Engineering |
author_facet |
Fei He Kang Shen Lijing Lu Yifei Tong |
author_sort |
Fei He |
title |
Model for improvement of overall equipment effectiveness of beerfilling lines |
title_short |
Model for improvement of overall equipment effectiveness of beerfilling lines |
title_full |
Model for improvement of overall equipment effectiveness of beerfilling lines |
title_fullStr |
Model for improvement of overall equipment effectiveness of beerfilling lines |
title_full_unstemmed |
Model for improvement of overall equipment effectiveness of beerfilling lines |
title_sort |
model for improvement of overall equipment effectiveness of beerfilling lines |
publisher |
SAGE Publishing |
series |
Advances in Mechanical Engineering |
issn |
1687-8140 |
publishDate |
2018-08-01 |
description |
In this article, the efficiency loss of a beer filling line is investigated and modeled to improve its system performance in terms of overall equipment effectiveness and productivity. First, research is aimed at problems related to beer filling line resulting from poor production management where utilization and productivity of filling machines are low. This article derives the overall equipment effectiveness of filling machines and overall throughput effectiveness of the filling line, with the overall throughput effectiveness of general system (OTE (S) ) obtained based on these measurements. Based on these metrics, the efficiency evaluation system is established. Next, according to the efficiency evaluation indexes, overall equipment effectiveness, and OTE (S) , the overall efficiency of filling machines and filling line are calculated, respectively. From the results, the stenciling machine has the lowest efficiency. However, considering overall throughput effectiveness indexes and production capacity, unit 3 is the bottleneck and limits the entire productivity. Finally, efficiency loss is analyzed based on the overall equipment effectiveness and OTE (S) calculation results. Using a fishbone diagram for analysis, the cause of equipment loss is summarized and countermeasures are offered. Theory of constraint is used to analyze the efficiency loss of the filling line and give suggestions for improvement. This research can help beer enterprises achieve continuous improvement of equipment efficiency and production capacity. |
url |
https://doi.org/10.1177/1687814018789247 |
work_keys_str_mv |
AT feihe modelforimprovementofoverallequipmenteffectivenessofbeerfillinglines AT kangshen modelforimprovementofoverallequipmenteffectivenessofbeerfillinglines AT lijinglu modelforimprovementofoverallequipmenteffectivenessofbeerfillinglines AT yifeitong modelforimprovementofoverallequipmenteffectivenessofbeerfillinglines |
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