Data Gathering Solution for Joy Global

Joy Global's existing business processes required customers to work through an unstable legacy system to collect mass volumes of data. With inadequate processes and tools, field level analytics were not sufficient to properly inform business decisions.

more...
DOWNLOAD FULL CASE STUDY PDF

Please submit your business email to receive the full ThingWorx (PTC) case study in your inbox:

Download
  • VENDOR
  • CUSTOMER
  • Joy Global is an American company that manufactures and services heavy machinery used in underground and surface mining.
  • SOLUTION
  • Deploying a ThingWorx platform means that the data collection process is
    now stabilized, and at the same time innovations on new applications for
    customers have increased.

    To get a free demo of ThingWorx 8: http://solutions.iotone.com/thingworx
  • DATA COLLECTED
  • Real-time mine sites data
  • OPERATIONAL IMPACT
  • Impact #1
    Predictive Maintenance - The solution allows Joy Global to anticipate failures.
    Impact #2
    Downtime Reduction - Efficient respond to equipment problems reduces equipment downtime.
    Impact #3
    Total Cost of Ownership - Total cost of ownership is lowered due to reduction in cost of mining resources.
  • QUANTITATIVE BENEFIT
  • Benefit #1
    Collection, storage and analysis of real-time data from 15 global mine sites, representing 1000 machines and 1000 real-time data points at sub second intervals is now reliable, and gives the company a leading edge over their competitors.
  • SOFTWARE
  • INDUSTRIES
  • Heavy Vehicle
    Mining
  • FUNCTIONS
  • Discrete Manufacturing
    Maintenance
    Product Development
  • ENABLED CAPABILITIES
  • Data Acquisition & Management
    Overall Equipment Effectiveness
    Predictive Maintenance
  • CONNECTIVITY PROTOCOLS
  • RELATED CASE STUDIES
View Desktop Version
© 2019 IoT ONE