MachineMetrics > Case Studies > MachineMetrics helped Wiscon Products increase throughput &maximize productivity

MachineMetrics helped Wiscon Products increase throughput &maximize productivity

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 MachineMetrics helped Wiscon Products increase throughput &maximize productivity - IoT ONE Case Study
Technology Category
  • Application Infrastructure & Middleware - Data Visualization
  • Application Infrastructure & Middleware - Database Management & Storage
Applicable Industries
  • Aerospace
  • Automotive
  • Construction & Infrastructure
  • Healthcare & Hospitals
Use Cases
  • Advanced Production Planning and Scheduling
  • Factory Operations Visibility & Intelligence
The Challenge

One of the primary goals was data accuracy. Before the implementation, they could look at data, but it was anywhere from a few days to a week old. They were looking for something to provide real-time data, so they could accurately know where the production and utilization were. They also wanted to find out the leading reasons for the downtime. One of the biggest things was equipment utilization versus parts goals. How often were the spindles spinning versus how many parts they were actually producing? This is incredibly valuable to them in understanding cycle time.

The Customer

Wiscon Products

About The Customer

Wiscon Products provides advanced CNC lathe precision turned parts from bar stock. Our expertise is in highly complex, high-volume CNC precision machined parts for the hydraulic, automotive, aerospace, and construction industries.

Wiscon Products is proud to be IATF 16949 certified in order to serve the Automotive Industry.

The Solution

The biggest change has been in efficiency. Specifically, being able to visualize the data and act upon it in real-time. They didn’t have a lot of historical data and what  did have could only be addressed reactively. And planning and scheduling were a top priority. Without accurate data, planning and scheduling were difficult. We had spent over $16 million on equipment but still felt like we were running at capacity. Our production department was always “busy”; there were gaps in the data and not being visible in real-time caused a lag.

Operational Impact
  • [Efficiency Improvement - Asset Utilization]

     One of the biggest benefits since implementation has been equipment utilization— knowing when the spindles are spinning

Quantitative Benefit
    • 30% increase in machine utilization
    • 250 % increase in operator productivity
    • 28% improvement in OEE
    • 30% increase in total capacity
    • $ 84K increase in revenue generated/machine

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