New OEE and Employee Dashboards

OEE Availability Factor

As a stand-alone module, 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.

OEE Performance and Quality Factors

Using our WIP Booking module you can then start to address the smaller, often more chronic Performance losses . Through digital work queues that are driven by works orders released from the Seiki Scheduler or third-party system, users can monitor the 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.

Targeting Continuous Improvement

We’ve always taken a modular approach, recognising that all data-driven manufacturing initiatives are a process of continuous improvement. This allows you to tackle things in manageable steps or to target specific processes that are causing your business and team the most pain first. Whether, as a company, your approach to implementing a solution like Seiki is incremental or holistic, 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.”

Closing the Data Loop

The Seiki solution has the added benefit of an advanced planning and scheduling module, that enables users to use the actual data collected on the shopfloor to refine planned cycle times and adjust resource efficiency factor. Building greater accuracy into the production plan not only increases certainty of delivery dates, but it also closes the data loop, creating a virtuous circle of improvement and increased productivity.

Seiki has traditionally had a machine and works order centric view of manufacturing operations, but a common request has been the ability to see employee activities. Whilst we’re not a labour data collection system, which is designed to account for people’s time whilst on shift, we understand the benefit of being able to see, and already collected the data, that provides insight into user interactions with machines and works orders, as well as booking on and off operations. It was a natural step to present this information on a graphical dashboard display.