TechValidate Research on Hexagon Manufacturing Intelligence


Hexagon Manufacturing Intelligence Case Study

Modern Polymers, Inc.

Introduction

This case study of Modern Polymers, Inc. is based on an August 2017 survey of Hexagon Manufacturing Intelligence customers by TechValidate, a 3rd-party research service.

“The ROMER Arm has given me more insight and confidence in my manufacturing process.”

“By buying the arm we avoided purchasing upwards of 25 custom gauges at a cost of around $15,000 each which would have been $375,000.
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Challenges

The business challenges that led the profiled company to evaluate and ultimately select Hexagon Manufacturing Intelligence:

  • Faced the following challenges before partnering with Hexagon Manufacturing Intelligence:
    • A lack of certainty that dimensional stability and quality specifications were met
    • Difficulty comparing CAD models to as-built assemblies
    • Difficulty in reverse engineering parts and components

Use Case

The key features and functionalities of Hexagon Manufacturing Intelligence that the surveyed company uses:

  • Chose the ROMER Absolute Arm for the following reasons:
    • Is easy to use
    • Has the best training and support
  • Chose the ROMER Arm over the following:
    • Nikon Metrology

Results

The surveyed company achieved the following results with Hexagon Manufacturing Intelligence:

  • The first choice for a portable metrology solution was the ROMER Arm.
  • Found the ROMER Arm to be easy to learn when compared to the competition.
  • Reduced the amount of time dedicated to inspection tasks with the following:
    • The speed and confidence of accurate inspection data
  • Increased productivity at their facility by >40% with the ROMER Arm.
  • The estimated payback for using their ROMER Arm is 6 months – 1 year.




About This Data

This data was sourced directly from verified users of Hexagon Manufacturing Intelligence by TechValidate.

TechValidate verifies the identity and organizational affiliation of all participants that contribute to published research data. When research participants so desire, we also guarantee their anonymity so that they may share information honestly and freely.


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