Manufacturing Data Collection

The Manufacturing Data Problem

Modern manufacturing processes produce an enormous amount of data that, if collected and properly utilized, can provide valuable information that can aid organizations in making business decisions and lead to significant competitive advantage.

Unfortunately, it can be quite challenging to collect and capture all of the relevant data that you have available to you so that it can become useful.  Hyla Soft consultants are experts on data collection techniques and we have various tools at our disposal that can help your company solve this challenging problem. Some of the many techniques we use to help our clients capture data include: PLC integration, Remote Terminal Units integration, SCADA, digital pen and paper solutions, RFID, bar codes, etc.


Source: Siemens SINUMERIK Integrate for Production - AMP

Features of Data Collection Systems 

Hyla Soft’s data collection systems provide the following functionality:

  • Real time visibility into production
  • Advanced dashboards
  • Detailed reporting
  • Historical data records (Historian)
  • Overall Equipment Effectiveness (OEE) systems
  • Statistical Process Control (SPC) systems
  • Key Performance Indicators (KPI) data collection
  • Alarms
  • PLC, Scales, I/O Device Integration

Benefits of Data Collection Systems

Hyla Soft is dedicated to creating lasting partnerships with our clients.  Let us work with you to find the combination data collection techniques that will provide the largest benefit to your organization while having the smallest impact on your existing processes.  Our experience and expertise can help your company meet and exceed their business goals.  Companies deploying greater data collection systems often see the following benefits:

  • Reduction in waste
  • Improved throughput
  • More informed decision making
  • Quicker response times to issues
  • Improved benchmarking
  • Process improvements
  • Reduction in faulty/incorrect data submission
  • Removal of paper trails and manual data submission

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