Breakdowns, tools failure, outages and different store flooring disruptions may end up in huge losses for a company. Manufacturing managers are tasked with making certain that factories and different manufacturing traces are getting essentially the most worth out of their tools and methods.
Total tools effectiveness (OEE) and complete efficient tools efficiency (TEEP) are two associated KPIs which are utilized in manufacturing and manufacturing environments to assist forestall losses by measuring and bettering the efficiency of apparatus and manufacturing traces.
What’s total tools effectiveness (OEE)?
OEE is a metric used to measure the effectiveness and efficiency of producing processes or any particular person piece of apparatus. It gives insights into how properly tools is utilized and the way effectively it operates in producing items or delivering providers.
OEE measures the tools effectivity and effectiveness based mostly on three elements. The OEE calculation is easy: availability x efficiency x high quality.
What’s complete efficient tools efficiency (TEEP)?
TEEP can be a metric utilized in manufacturing and manufacturing environments to measure the general effectivity and effectiveness of apparatus or a manufacturing line. It contains all of the potential manufacturing time, together with deliberate and unplanned downtime.
TEEP is calculated by multiplying four factors: availability x efficiency x high quality x utilization.
How are OEE and TEEP totally different?
The primary distinction between these two metrics is that whereas OEE measures the share of deliberate manufacturing time that’s productive, TEEP measures the share of all time that’s productive.
It’s necessary when making these calculations of time to make use of the precise terminology. Listed below are a couple of widespread methods to measure time inside a manufacturing context:
- Unscheduled time: Time when manufacturing is just not scheduled to provide something (versus “scheduled time”).
- Calendar time: The period of time spent on a job order as much as its completion.
- Complete operations time: The overall period of time {that a} machine is obtainable to fabricate merchandise.
- Perfect cycle time: The theoretical quickest potential time to fabricate one unit.
- Run time: The time when the manufacturing course of is scheduled for manufacturing and working.
OEE primarily focuses on the utilization of accessible time and identifies losses attributable to availability, efficiency and high quality points. It helps determine areas for enchancment and effectivity optimization.
TEEP, then again, gives a broader perspective by contemplating all potential manufacturing time, together with deliberate downtime for preventive maintenance or changeovers. It goals to measure the utmost potential of the tools or manufacturing line.
OEE is often used to measure the efficiency of a selected piece of apparatus or a machine. It helps you perceive how successfully tools is being utilized throughout precise manufacturing time. OEE is usually used as a benchmarking instrument to trace and enhance tools efficiency over time. It helps determine bottlenecks, areas for optimization and enchancment initiatives.
TEEP is used to measure the general efficiency of a whole manufacturing line or a number of items of apparatus working collectively. It gives a holistic view of the effectiveness of your complete system. If you’re concerned about understanding the utmost potential efficiency of your manufacturing line, together with deliberate downtime for upkeep, changeovers or different scheduled occasions, TEEP is the efficiency metric to make use of. TEEP might be useful in manufacturing capability planning and figuring out the capabilities of your tools or manufacturing line.
How can OEE and TEEP be used collectively?
- Begin with OEE evaluation: Start by calculating the OEE for particular person machines or tools inside your manufacturing line. OEE evaluation helps pinpoint the causes of losses and inefficiencies on the tools degree. A digital asset administration platform can present real-time information to assist with this calculation.
- Determine bottlenecks: Use OEE information to determine bottlenecks or areas the place tools efficiency is suboptimal. Search for machines with decrease OEE scores and examine the underlying points. This may help you prioritize enchancment efforts and goal particular machines or processes which have essentially the most vital affect on total efficiency.
- Consider TEEP for your complete line: After getting assessed the OEE for particular person machines, calculate the TEEP in your total manufacturing line. TEEP takes under consideration all potential working time—together with deliberate and unplanned downtime—offering a broader perspective on the general efficiency of the road.
- Examine OEE and TEEP: Examine the OEE and TEEP information to realize insights into the hole between precise efficiency and the utmost potential efficiency of the manufacturing line. Determine the elements contributing to the distinction between the 2 metrics, similar to scheduled upkeep, changeovers or different deliberate downtime. This comparability may help you perceive the general effectivity and effectiveness of the manufacturing line.
- Deal with widespread points: Analyze widespread points recognized by means of OEE and TEEP evaluation and devise methods to deal with them. This may occasionally contain bettering machine reliability, procuring new tools, integrating steady enchancment methodologies, decreasing setup or changeover occasions, enhancing product high quality or optimizing upkeep administration. Implementing focused enchancment initiatives may help bridge the efficiency hole and maximize the general tools efficiency.
- Monitor progress over time: Constantly monitor and observe each OEE and TEEP metrics over time to evaluate the effectiveness of your enchancment efforts. Recurrently evaluating these metrics lets you measure the affect of applied adjustments and determine new areas for optimization.
By combining OEE and TEEP, you may conduct a complete evaluation of present tools efficiency at each the individual-machine and production-line ranges. This built-in strategy gives a deeper understanding of efficiency elements, helps prioritize enchancment efforts, and maximizes the general effectiveness and effectivity of your manufacturing operations, permitting manufacturing managers to attain increased throughput and most uptime.
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IBM Maximo is enterprise asset administration software program that delivers a predictive answer for the maximization of apparatus effectiveness. Maximo is a single, built-in cloud-based platform that makes use of AI, IoT and analytics to optimize efficiency, lengthen the lifecycle of belongings and cut back the prices of outages.
Take a tour to see how Maximo can obtain OEE enchancment whereas decreasing the operations prices of extra time, materials waste, spare elements and emergency upkeep.
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