[et_pb_section fb_built=”1″ _builder_version=”4.27.4″ _module_preset=”default” custom_padding=”0px||0px|||” global_colors_info=”{}” theme_builder_area=”et_body_layout”][et_pb_row _builder_version=”4.27.4″ _module_preset=”default” min_height=”2369.2px” custom_margin=”50px|auto||auto||” custom_padding=”20px||0px|||” hover_enabled=”0″ global_colors_info=”{}” theme_builder_area=”et_body_layout” sticky_enabled=”0″][et_pb_column type=”4_4″ _builder_version=”4.27.4″ _module_preset=”default” global_colors_info=”{}” theme_builder_area=”et_body_layout”][et_pb_text _builder_version=”4.27.4″ _module_preset=”default” custom_padding=”||0px|||” hover_enabled=”0″ locked=”off” global_colors_info=”{}” theme_builder_area=”et_body_layout” sticky_enabled=”0″]<\/p>\n
One month ago, on September 30, 2024, Industrie Time Paris brought together the players in Industry 4.0. Fran\u00e7ois Coulloudon, CEO of TEEPTRAK, shared a clear vision: the data-driven factory is no longer a futuristic concept, but a necessity for survival in an unstable economic context. <\/p>\n
Discussions with manufacturers and feedback from the field confirm that the OEE are no longer simple monitoring indicators, but the strategic pillars of competitiveness.<\/p>\n
This article explains how TEEPTRAK responds to this urgent need for performance management, with concrete examples of OEE implementation and analysis in different industrial sectors.<\/p>\n
Relive Fran\u00e7ois Coulloudon’s full speech at Industrie Time Paris 2024<\/strong><\/p>\n [\/et_pb_text][et_pb_video src=”https:\/\/www.youtube.com\/watch?v=XpzRVwjP78c” _builder_version=”4.27.4″ _module_preset=”default” hover_enabled=”0″ locked=”off” global_colors_info=”{}” theme_builder_area=”et_body_layout” sticky_enabled=”0″][\/et_pb_video][et_pb_text _builder_version=”4.27.4″ _module_preset=”default” custom_margin=”-34px||4px|||” custom_padding=”|0px||||” hover_enabled=”0″ global_colors_info=”{}” theme_builder_area=”et_body_layout” sticky_enabled=”0″ min_height=”5132px”]<\/p>\n OEE (Overall Equipment Effectiveness) is the performance indicator that measures the real efficiency of a piece of equipment. As Fran\u00e7ois Coulloudon reminds us: “OEE takes up the notion of added value. In a company, everything people do must produce value.”<\/em> <\/p>\n This indicator has established itself as a benchmark in the manufacturing industry, as it enables precise measurement of the actual utilization of production equipment. Unlike a simple count of the number of parts produced, the OEE reveals the hidden losses that impact profitability. <\/p>\n OEE = Availability Rate \u00d7 Performance Rate \u00d7 Quality Rate<\/p>\n This breakdown enables a precise analysis of losses. For example, a machine may run for 8 hours (good availability) but produce only 80% of the expected number of parts (performance problem), including 5% rejects (quality problem). <\/p>\n The losses that reduce the OEE fall into distinct categories:<\/p>\n Losses in availability: breakdowns, planned stoppages, series changes, tool changeover times. These losses reduce the machine’s effective uptime. <\/p>\n Performance losses: rate deviations, micro-stops, slowdowns. The machine is running, but below its theoretical output, which reduces part production. <\/p>\n Quality losses: rejects, rework, start-ups. Parts are produced but do not conform, wasting material and time. <\/p>\n Automated dashboards can capture these losses in real time, unlike manual Excel-based methods which consume 5 to 15 hours a week without bringing any value to decision-making. Production managers spend more time compiling reports than analyzing root causes. <\/p>\n The TEEPTRAK stand at Industrie Time Paris demonstrated instant connection on various types of machine. This application-based software solution connects any equipment at competitive prices (\u20ac2,000 to \u20ac3,000 per machine, including hardware). <\/p>\n Set-up is rapid, thanks to non-intrusive sensors that detect machine status without modification. TEEPTRAK has subsidiaries in Chicago and China to support international deployments. <\/p>\n This solution addresses the three major concerns expressed by production managers at Industrie Time Paris:<\/p>\n Universal compatibility: works on old and new machines, whatever the type of existing system. Sensors adapt to all industrial protocols. <\/p>\n Rapid deployment: installation in just a few hours per machine, measurable results in 90 days. The Hutchinson example shows significant gains in less than 6 months. <\/p>\n Operational autonomy: operators use the tool directly on their tablet or workshop screen, without having to rely on the IT department to access production data.<\/p>\n The TEEPTRAK software digitizes the concept of the Takt Board, the physical table that used to manually indicate the number of parts produced per hour versus the number planned.<\/p>\n The solution automates this communication process:<\/p>\n This transparency transforms the way data is used: instead of discovering problems 24 or 48 hours later via an Excel report, teams react immediately.<\/p>\n Fran\u00e7ois Coulloudon insists: “To improve performance, you need effective management routines. It’s crucial to know how to escalate problems and set up escalation processes.”<\/em><\/p>\n Setting up structured routines ensures that OEE data analysis leads to concrete action. Two elements are essential: <\/p>\n Background: training teams in indicator interpretation. TEEPTRAK software makes analysis accessible without advanced technical skills. An operator can immediately see if his machine is losing availability, performance or quality. <\/p>\n The consequences: when operators see the impact of their actions on the production line in real time, commitment increases. This accelerated feedback loop transforms behavior. <\/p>\n The Hutchinson case study, presented at Industrie Time Paris, is a particularly telling example of successful implementation.<\/p>\n Starting point: OEE at 42%, with numerous undocumented stoppages and significant rate deviations reducing the number of parts produced.<\/p>\n Actions implemented :<\/p>\n Results after just a few months: an increase in OEE from 42% to 75%, i.e. a 78% increase in capacity without having to invest in new machines. This improvement represents the equivalent of several million euros of investment avoided. <\/p>\n Detailed analysis revealed that the main losses were due to unaccounted for microstops (30% of losses) and rate deviations linked to sub-optimal settings (25% of losses). The transparency provided by the TEEPTRAK solution made it possible to target actions precisely. <\/p>\n In the food industry, the example of Savencia (producer of Caprice des Dieux) illustrates the importance of the quality rate in calculating the OEE.<\/p>\n One third of the cost of production is the raw material (milk). Throwing away a non-conforming part (a cheese) means that the production process has to be repeated to compensate for the loss. In this context, improving the quality rate by a few points represents hundreds of thousands of euros in annual savings. <\/p>\n The OEE analysis revealed that it was sometimes preferable to slow down the production rate to guarantee a quality rate close to 100%, rather than maximizing the number of parts produced with more scrap.<\/p>\n In contrast, the example of Stellantis in the automotive sector shows a different reality. Some lines already boast OEEs of 92-94%, the result of years of optimization. <\/p>\n In this context, gaining a single additional SRT point represents a major technical challenge, but is equivalent to avoiding several million euros of investment in new machinery. Fine analysis of microstops and optimization of changeover times are becoming the priority levers. <\/p>\n These examples show that OEE is more than just a number. Its true value lies in the analysis it enables, and the decisions it informs. Implementing a reliable measurement system like TEEPTRAK gives production managers the visibility they need to prioritize their investments. <\/p>\n A well-constructed OEE report answers strategic questions:<\/p>\n Thirty days after Industrie Time Paris, the trends identified by Fran\u00e7ois Coulloudon are being confirmed in the field. Economic pressures are intensifying: inflation, energy costs and supply tensions are forcing us to maximize the productivity of existing equipment. <\/p>\n TEEPTRAK supports major players (Hutchinson, Safran, Savencia, Stellantis) in their data-driven transformation, with a pragmatic approach focused on the concreteuse of<\/strong> data by field teams.<\/p>\n The OEE is not just an indicator: it reflects a plant’s ability to create value, identify hidden losses and mobilize teams around shared objectives. As Fran\u00e7ois Coulloudon sums up: “OEE enables us to track progress. What counts is not the gross figure, but its impact on the company.”<\/em> <\/p>\n One month after the event, this vision is transformed into industrial reality, machine<\/strong> after machine<\/strong>, with measurable results from the very first weeks of implementation<\/strong>.<\/p>\n [\/et_pb_text][et_pb_accordion _builder_version=”4.27.4″ _module_preset=”default” theme_builder_area=”et_body_layout” hover_enabled=”0″ sticky_enabled=”0″][et_pb_accordion_item title=”What is OEE and how is it calculated?” _builder_version=”4.27.4″ _module_preset=”default” theme_builder_area=”et_body_layout” open=”on” hover_enabled=”0″ sticky_enabled=”0″]<\/p>\n OEE measures equipment efficiency by multiplying availability \u00d7 performance \u00d7 quality. Simplified formula: OEE = (Useful time \/ Required time) \u00d7 100<\/strong>. The useful time corresponds to the time required to produce<\/strong> compliant parts. <\/p>\n [\/et_pb_accordion_item][et_pb_accordion_item title=”What is a good rate of return in the industry?” _builder_version=”4.27.4″ _module_preset=”default” theme_builder_area=”et_body_layout” open=”off” hover_enabled=”0″ sticky_enabled=”0″]<\/p>\n There’s no such thing as a good universal OEE. An OEE of 85% is excellent for the food industry, but may not be sufficient for the automotive industry. General benchmarks: < 65% (significant room for improvement), 65-75% (fair level), > 85% (world class). <\/p>\n [\/et_pb_accordion_item][et_pb_accordion_item title=”How can you improve your OEE quickly?” _builder_version=”4.27.4″ _module_preset=”default” theme_builder_area=”et_body_layout” hover_enabled=”0″ sticky_enabled=”0″]<\/p>\n Visible results in 4-12 weeks with: reliable measurement system (IoT sensors), team training in dataanalysis<\/strong>, daily managerial routines, prioritized action plan on identified key losses.<\/p>\n [\/et_pb_accordion_item][et_pb_accordion_item title=”Can OEE be measured on older machines?” _builder_version=”4.27.4″ _module_preset=”default” theme_builder_area=”et_body_layout” hover_enabled=”0″ sticky_enabled=”0″]<\/p>\n Yes, TEEPTRAK connects all generations of machines<\/strong> via non-intrusive sensors (vibration, electric current). Installation at \u20ac2,000-3,000 per machine<\/strong>, without modification of existing equipment, whatever the type of system. <\/p>\n [\/et_pb_accordion_item][et_pb_accordion_item title=”What's the difference between OEE and TEEP?” _builder_version=”4.27.4″ _module_preset=”default” theme_builder_area=”et_body_layout” hover_enabled=”0″ sticky_enabled=”0″]<\/p>\n TEEP measures 24-hourutilization<\/strong>, including night-time closures and weekends. OEE is calculated on the basis of planned opening time. TEEP provides an even more comprehensive view of machine<\/strong>utilization<\/strong>. <\/p>\n [\/et_pb_accordion_item][\/et_pb_accordion][\/et_pb_column][\/et_pb_row][\/et_pb_section]<\/p>\n","protected":false},"excerpt":{"rendered":" Back to Industrie Time Paris 2025 One month after Industrie Time Paris: OEE industry at the heart of transformation One month ago, on September 30, 2024, Industrie Time Paris brought together the players in Industry 4.0. Fran\u00e7ois Coulloudon, CEO of TEEPTRAK, shared a clear vision: the data-driven factory is no longer a futuristic concept, but […]<\/p>\n","protected":false},"author":10,"featured_media":52087,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_et_pb_use_builder":"on","_et_pb_old_content":"","_et_gb_content_width":"","ai_seo_title":"","ai_meta_description":"","ai_focus_keyword":"","footnotes":""},"categories":[1],"tags":[],"class_list":["post-52098","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-uncategorized"],"yoast_head":"\n<\/h2>\n
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Defining and calculating OEE: the plant performance indicator<\/h2>\n
Understanding OEE and its place in industry<\/h3>\n
The OEE calculation formula: availability, performance and quality<\/h3>\n
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The three types of loss that impact production<\/h3>\n
OEE TEEPTRAK solution: digital implementation demonstrated at Industrie Time Paris<\/h2>\n
A plug & play IoT system for any production line<\/h3>\n
Real-time communication and display of part numbers<\/h3>\n
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OEE analysis and continuous improvement: an example of implementation at Hutchinson<\/h2>\n
Managerial routines that make all the difference<\/h3>\n
Case in point: measured progress in OEE at Hutchinson<\/h3>\n
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OEE and performance: examples from different industrial sectors<\/h2>\n
Savencia example: optimizing parts production in the food industry<\/h3>\n
Stellantis example: gaining points on an already high OEE<\/h3>\n
The place of OEE in overall industrial strategy<\/h3>\n
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TeepTrak, a partner in industrial transformation<\/h2>\n