Increase Throughput

With increased capacity, efficiencies and revenues will also increase.

Throughput is extremely important to a manufacturer’s ability to meet schedules and deliver on time to customers.

With manufacturing analytics, you can collect and analyze data to help you increase capacity and ensure goals are met.

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Measure Throughput

Collected automatically via PLCs or sensors, compare the ideal cycle time against part or product counts to calculate the performance of a machine or line. 

Find Opportunities for Improvement

Use throughput and performance data to find opportunities to share knowledge and improve performance throughout the entire plant. 

Understand Performance Trends

Track trends in your data so you can see, over time, how your plant is running. Determine if the process or system changes over the long term are successful or not.

Measuring Throughput 

Performance measures the actual cycle time vs. the ideal cycle time. To calculate performance, SensrTrx collects part or product counts from the machines and compares them against the ideal cycle time. This data is collected from the existing controls, PLCs, or sensors on the machine or production line.

To stop problems as they happen, receive alerts to your mobile phone or via manufacturing insights emails when cycle times or throughput are higher or lower than normal. 

Find Opportunities for Improvement

Look at throughput and performance by shift to look for opportunities for improvement. Many times, different shifts run machines and production lines slower or faster than others. One shift will figure out how to do something better or faster but neglect to share it with the other shift leaders. Using the data, find opportunities to share knowledge and improve performance.

Understand Performance Trends

Track trends in your data so you can see, over time, how your plant is running. Using trends, you can easily see the effect of process or system changes over the long term.

SensrTrx allows manufacturing companies to collect and analyze data in a way that was not possible a few years ago. Companies no longer have to rely on paper, Microsoft Excel, or complicated ERP systems to analyze data from the plant floor.

Reducing 14-Week Backlog to Gain Half a Million Dollars in Revenue

Tacony implemented the “crawl, walk, run” strategy in their West Chicago plant. By focusing on one problem at a time, the team was able to increase throughput, helping them to reduce their 14-week backlog resulting in previously unrealized revenue.

“Being able to log into a simplified application that shows everything I’m worried about which is performance, utilization of capacity, and staying within an expected cycle or takt time, it gives me the visibility to keep a pulse on the plants."

– Nick Hinman, Vice President of Corporate Strategy at Tacony

Common Challenges in Manufacturing 

Lack of Visibility and No Accountability

Without visibility into the plant, it’s hard to know if you’re winning the day. How can you see what’s happening in real-time?

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Excess Downtime

Every minute a machine is not running represents lost opportunity. How can you reduce downtime on the floor?

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Manual Processes

Traditional, manual data collection is not timely or accurate. How do you ensure automatic data collection that helps to provide insight into what’s happening in the plant?

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Too Much Unplanned Overtime, High Costs

Unplanned overtime causes significantly higher costs, decreasing the bottom line. How do you eliminate unplanned overtime to reduce costs?

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Poor On-Time Delivery

How do you ensure on-time delivery? Knowing if you’re winning the day can help you achieve that goal.

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High Scrap Rate & Quality Issues

Without real quality measurements, scrap is just money going down the drain. How can you reduce scrap and ensure quality?

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Watch the case study

Learn how you can increase throughput with SensrTrx.