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Data Gathering Solution for Joy Global

 Data Gathering Solution for Joy Global - IoT ONE Case Study
Technology Category
  • Platform as a Service (PaaS) - Data Management Platforms
Applicable Industries
  • Equipment & Machinery
Applicable Functions
  • Business Operation
The Challenge

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.

The Customer
Joy Global
About The Customer
Joy Global is an American company that manufactures and services heavy machinery used in underground and surface mining.
The 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:

Data Collected
Asset Performance, Downtime, Fault Detection, Operating Cost, Overall Equipment Effectiveness
Operational Impact
  • [Process Optimization - Predictive Maintenance]
    The solution allows Joy Global to anticipate failures.
  • [Efficiency Improvement - Production Uptime]
    Efficient respond to equipment problems reduces equipment downtime.
  • [Cost Reduction - Production]
    Total cost of ownership is lowered due to reduction in cost of Mining resources.
Quantitative Benefit
  • 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.

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