OEE Dashboards
The OEE Dashboards in Seiki AIR provide users with provide greater analysis flexibility and the ability to drill down into the contributing data of each OEE Factor.
Overall Equipment Effectiveness (OEE) is a simple and powerful indication of resource effectiveness. OEE is the ratio between ”value adding time” (what customers will pay for) and the actual total time taken (what the manufacturer pays for). The purpose of OEE is to measure the productivity improvement potential of a production process using a single metric and to help minimise waste – the core objectives of Lean Manufacturing. OEE can be used to identify overall losses, and losses in these specific areas. Once a loss has been identified appropriate action can be taken to reduce the loss.
Generating a standard measurement that can be used for benchmarking and analysis is an essential tool for any business. Recording data manually is a labour intensive and time-consuming activity. Seiki OEE calculations are based on access to logged records obtained from the machine tool to provide live and accurate data. This means that small events that are often missed or recorded inaccurately are taken into account, allowing you to base decisions on factual and complete information. Real-time OEE metrics are easy to calculate for fast production throughput, such as canning, packaging, PCBs.
Whilst fully servicing the needs of process manufacturing, we’ve designed our OEE with the challenges of discrete manufacturing specifically in mind, i.e. when batch sizes are small, have long cycle times or you’re running diverse products with differing cycle times. To accommodate this level of flexibility and complexity, and still achieve an accurate measure of your OEE, you need to have all the underlying data for each factor, part and resource. This is where the power of our integrated modules come into play.
By calculating the Overall Equipment Effectiveness (OEE) of your existing assets, you can optimise their usage and reduce waste. This ultimately means reducing costs by avoiding unnecessary purchases and minimising downtime. An OEE figure combines measurements of machine availability, speed losses and the quality of parts produced to quantify how effectively that resource is being used.
The OEE Dashboards in Seiki AIR provide users with provide greater analysis flexibility and the ability to drill down into the contributing data of each OEE Factor.
Our OEE module combines data and insight from both Monitoring and WIP Booking to drive effective and sustainable improvements based on accurate data collected at point of event. It enables you to continuously tackle waste and losses across your entire process.
Machine Monitoring provides visibility and analysis of the significant loss causing events that are having the biggest impact on throughput capability – your resource utilisation performance and potentially quick win improvement opportunities. Once you start to factor in Planned downtime events, you have all the data needed to calculate (and see) your Availability factor in OEE.
Through digital work queues that are driven by works orders released from the Seiki Scheduler or third-party system, this module allows users to monitor live progress of jobs and capture the data required to identify any production time lost manufacturing individual parts, or Quality losses by booking non-conformances. For OEE, we use this data to compare the maximum theoretical speed that the operation can be run, versus the actual the production time. It’s also possible to drill down further and track Planned versus Actual performance across repeat works orders for a part within the system’s KPI reports.
If you only have a Seiki AIR Monitoring system, with an OEE license, we provide Part administration tools that allow you to capture the data required to calculate the Performance and Quality factors without the WIP Booking module.
This website uses cookies so that we can provide you with the best user experience possible. Cookie information is stored in your browser and performs functions such as recognising you when you return to our website and helping our team to understand which sections of the website you find most interesting and useful.
Essential Cookies should be enabled at all times so that we can save your preferences for cookie settings.
This website uses Google Analytics to collect anonymous information such as the number of visitors to the site, and the most popular pages.
Keeping this cookie enabled helps us to improve our website.
Please enable Essential Cookies first so that we can save your preferences!