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8 case studies
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American Eagle Achieves LEED with GE LED Lighting Fixtures
American Eagle Achieves LEED with GE LED Lighting Fixtures
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.
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E.ON Gets Faster, Lower Cost Cycles with OpFlex Solutions
E.ON Gets Faster, Lower Cost Cycles with OpFlex Solutions
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.
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Hardware and Software Upgrade Boosts Power Output for TransCanada
Hardware and Software Upgrade Boosts Power Output for TransCanada
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.
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Kospo Met Increasing Market Demands with Existing Turbine Upgrade
Kospo Met Increasing Market Demands with Existing Turbine Upgrade
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.
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IIC Industrial Digital Thread (IDT) Testbed
IIC Industrial Digital Thread (IDT) Testbed
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.
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Unifying Predictive Analytics and Real-time Process Optimization for Oil & Gas
Unifying Predictive Analytics and Real-time Process Optimization for Oil & Gas
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.
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IIC High Speed Network Infrastructure Testbed
IIC High Speed Network Infrastructure Testbed
Enabling seamless machine-2-machine communications and data transfer across connected control systems, big infrastructure products, and manufacturing plants.
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Managing Asset Performance
Managing Asset Performance
Obtaining a single, unified view of overall Asset Health, Status and Performance is challenging:Data Disparity: Data is isolated across islands of information with no common understanding.Data Aggregation: Aggregating disparate data usually results in data swamps with little consistency and reference-ability across assets, operations and processes.Data Organization: Organizing data into canonical forms and standards is manual, time consuming and usually fit for purpose.Data Analysis and Visualization: Nounified view – single pane of glass - to visualize and present the variety of data.Data relevancy: Identifying important and relevant data is usually ad-hoc, reactive and resource intensive.Data Availability: Assets with out sensors or online condition monitoring – difficult to collect health and condition information – manual tasks.
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