Performance in the calculation of OEE (Overall Equipment Effectiveness) is a crucial issue for plants seeking to maximize their productivity. Indeed, performance reflects the speed at which machines operate in relation to their optimum potential, directly impacting the synthetic rate of return on all equipment. Failure to control this dimension can lead to unplanned downtime, extra costs and fluctuating production quality, all of which undermine a plant’s competitiveness and profitability. <\/p>\n
Poor performance can be attributed to a number of factors: machine wear and tear, technical faults, lack of operator training or absence of real-time monitoring. As a result, these malfunctions lead to a drop in OEE\/ROI, an increase in downtime and scrap rates, thus inflating operating costs. An exhaustive analysis must be carried out to identify these causes and develop targeted action plans. <\/p>\n
A number of levers can be used to remedy these problems. Continuous improvement, via methods such as Lean Manufacturing and Total Productive Maintenance, plays a key role. In addition, the digitalization of the shop floor, with tools like those offered by One concrete example is a bottling plant that has implemented rigorous performance monitoring via TeepTrak. Initially confronted with insufficient production speeds, the company used real-time tracking solutions to identify bottlenecks. In a short space of time, the implementation of predictive maintenance and the training of teams enabled them to raise production line speeds, resulting in a 15% increase in OEE. <\/p>\n Improving OEE performance begins with a rigorous diagnostic phase to identify bottlenecks. By investing in real-time monitoring technologies and adopting continuous improvement practices, production managers can look forward to a significant improvement in their competitiveness. TeepTrak offers a range of solutions to support this transformation. It’s time to measure, monitor and optimize your OEE performance to achieve your production objectives. <\/p>\n Performance is measured by comparing actual production speed with maximum theoretical speed. Deviations identified help to understand inefficiencies. <\/p>\n Poor performance reduces OEE by increasing downtime and errors, generating additional costs and lowering production quality.<\/p>\n Start with an audit of your current processes, identify bottlenecks thanks to real-time monitoring, and integrate continuous improvement methods such as Lean Manufacturing.<\/p>\n","protected":false},"excerpt":{"rendered":" Improve performance in OEE calculations to boost productivity and reduce costs, thanks to continuous improvement practices and real-time monitoring technologies.<\/p>\n","protected":false},"author":384731,"featured_media":64542,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_et_pb_use_builder":"","_et_pb_old_content":"","_et_gb_content_width":"","ai_seo_title":"","ai_meta_description":"","ai_focus_keyword":"","footnotes":""},"categories":[1],"tags":[],"class_list":["post-65179","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-uncategorized"],"yoast_head":"\nFAQ<\/strong><\/h3>\n
Question 1: How do you measure performance in calculating OEE?<\/strong><\/h4>\n
Question 2: What is the impact of poor performance on TRS\/OEE?<\/strong><\/h4>\n
Question 3: Where do you start to improve OEE performance?<\/strong><\/h4>\n