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E.ON's plants ran 4000+ hours per year, now see fewer than 1000+ hours of profitable operation. E.ON needed a fast, reliable and low-cost cycle plants.

American Eagle Outfitters (AEO) was in the process of building a new distribution center. The AEO facility management team decided to look at alternate options for lighting layout that could provide energy and maintenance savings. AEO would need a full-time maintenance employee just to replace burned-out fluorescent tubes.

A leading oil & gas company and one of GE’s most trusted and innovative partners had no way of integrating independent equipment issue detection capabilities. The company was losing money as a result of unplanned downtime due to maintenance scheduling issues and outdated software systems. They believed that a well-designed combination of IT assets would generate stronger insight than they had, affording them the ability to monitor offshore equipment from an onshore facility using real-time insight and predictive analytics.

Field engineers and service teams often lack data and digital insights needed to assess, troubleshoot, and determine work scope for the large industrial assets in performing corrective and preventative maintenance activities. QA engineers many times need to understand why a particular problem in the part is happening recurrently or why parts from suppliers don’t stack up well in the assemblies due to mismatch. The root cause is usually hidden in design, manufacturing processes, supply chain logistics or production planning. But without the right data and digital insights, it's hard to pinpoint. GOAL To collect information in the design, manufacturing, service, supply-chain setup and provide access to and intelligent analytics for industrial manufacturing and performance data, to identify the root cause easier. Such insights can improve not only service and owner/operator productivity, but also provide critical feedback to the design engineering and manufacturing operations teams for continuous improvement.

As TransCanada's GE turbines were nearing end of life at their Ravenswood and Alberta locations, they required cleaner, more viable solutions to meet the growing power demands of their constituency, with the Ravenswood location serving over 20% of New York City.

Kospo needed a way to provide a higher reserve margin. Given the rise in demand due to a positive economic environment, Kospo looked to upgrade their fleet of 7F gas turbines to provide additional capacity while controlling emissions.

Enabling seamless machine-2-machine communications and data transfer across connected control systems, big infrastructure products, and manufacturing plants.

Reducing production lossesIn 2013, the company identified a need in the maintenance and operation of its acid nitric plant to reduce production losses and improve annual production. Vale noticed there was a gap in nitric acid production from 2011 to 2012 and discovered that three pieces of equipment were responsible for the main losses, including two weak acid condensers and a compressor discharge air cooler. The condenser’s losses were due to thickness loss, lack of availability of the spare condenser, and shell cracking.With a production loss above 14,000 tons in 15 months, Vale aimed to reduce annual loss by 10,000 tons by August 2015. 

Gerdau was looking to reduce their annual maintenance spend while also improving productivity, thus targeting margin improvements within their manufacturing operations.