Lack of Visibility and No Accountability
How can you see what’s happening in the plant, in real-time?
Without visibility into the plant, it’s hard to know if you’re winning the day.
Manufacturing analytics can provide visibility and accountability to fix the problems on the floor and deliver a positive return on investment.
Stop Problems as They Happen
Using data automatically collected from the floor, understand when a problem is occurring and how to stop it.
Win the Day
Know where production stands against the schedule and create accountability throughout the organization.
Use Data to Drive Decisions
Use the data to determine your next big win, and support and maintain continuous improvement efforts.
Stop Problems as They Happen
Using data automatically collected from the floor, understand when a problem is occurring and how to stop it.
Know when a machine goes down, if changeovers are taking too long, or if there’s too much scrap on any given line. The visibility gained from real-time data will give you and your team the ability to stop problems as they happen.
Win the Day
Know where you stand against the schedule at any given time. Is production ahead or behind? What needs to done to ensure daily production goals are met?
Help employees know exactly what they’re supposed to do, every day. Set goals to achieve and provide incremental targets to help them reach their goals.
Seeing and tracking against the goals provides employees, at any level of the organization, the ability to know what to do and provide accountability.
Use Data to Drive Decisions
With real-time dashboards and Pareto Charts, understand where the biggest problems are coming from. Use that data to make decisions about what needs to be done to fix problems. Support continuous improvement efforts with historical data.
Consistent data provides the ability to focus on the problems affecting production, without relying on human intuition or opinions. The data doesn’t lie and will provide you with complete visibility into your processes.
“What Gets Tracked, Gets Improved.”
H&T Battery Components knew they had no visibility into the plant, resulting in excessive downtime that caused significant scrap, unplanned overtime, and increased costs. Even worse, there was a lack of consensus on which machines were causing the problems. With manufacturing analytics, they were able to get the visibility needed to find the problems, fix them, and hold themselves accountable.
"I've been working with data and solving problems for the last 8 years, but never had anything in place like SensrTrx. It started something we didn't know before; all of the problems we thought were small problems actually weren't."
– Matt Hill, Operations Improvement Coordinator at H&T
Common Challenges in Manufacturing
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?
Excess Downtime
Every minute a machine is not running represents lost opportunity. How can you reduce downtime on the floor?
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?
Low Capacity, Throughput
Throughput is extremely important to a manufacturer’s ability to meet schedules and deliver on time. How can you increase capacity and ensure goals are met?
Poor On-Time Delivery
How do you ensure on-time delivery? Knowing if you’re winning the day can help you achieve that goal.
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?
Watch the case study