Achieve business outcomes that matter
Measure, manage, and operationalize your sustainability goals – including decarbonization, energy resources management, and reduced WAGES.
Achieve operations visibility and AI-based optimization, linking plant-floor actions to your enterprise sustainability initiatives.
A system of record to automate accurate GHG data collection, provide valuable insights, and identify ways to reduce carbon emissions
One modular solution to connect, see, control, and optimize DERs from a technical and an economic standpoint
Reduced operational costs and risks using Digital Twins, machine learning and predictive models
Increased network reliability
Advanced analytics to predict future asset and process performance for reduced variability and improved operations
Optimized asset performance to reduce risk and improve safety, reliability, compliance, and efficiency
Optimize assets and processes – from plant-level operations to the enterprise – with self-service process analytics software.
Minimized potential impact of anomalies
Comprehensive visibility of asset health for rapid situational adjustments with quality information
Streamlined mechanical integrity solution to reduce risk, maintain compliance and optimize resources
Develop, implement, maintain, and optimize asset strategies to effectively balance cost and risk
Operational visibility and analysis to reduce asset failures, control costs and increase availability
Performance Intelligence with APM Reliability is your partner in meeting your plant and fleet performance goals.
Predictive analytics software, helps prevent equipment downtime by detecting, diagnosing, forecasting & preventing emerging failures.
The AI-powered product automatically explores the space of operation of gas turbines, builds a machine learning model, and continuously finds the optimal flame temperatures and fuel splits to minimize emissions
BoilerOpt works within existing plant technology to improve boiler productivity and air-fuel ratios in a closed-loop system
Pre-built templates for equipment health monitoring, asset strategies, and process workflows
Operator rounds efficiency and operational impact
Secure and scalable data connectivity, analytics, and application services
Visualized data intelligence to make informed maintenance decisions
End-to-end digital solutions reducing costs, empowering crews, and improving the passenger experience
Addressing fuel usage, carbon emissions, airspace efficiency, predictive maintenance, and more
Increased fuel efficiency and reduced waste
Early detection of aircraft and component degradation
Reduced costs related to disruptions
Visualizations and analytics to help airline decision makers identify waste in an airspace
Fuel efficiency reports, helping airlines operate at peak safety and efficiency while reducing their carbon footprint
Operational excellence and improved safety
Outcomes that move your business forward in fuel, safety, and predictive maintenance
Analysis of multiple flights, routes, and assets across years
Reduced environmental footprint
Services and solutions to reduce vulnerability and identify, detect, prevent and protect
Turnkey solutions to reduce vulnerability and identify, detect, prevent and protect assets and systems
A globally recognized benchmark for procurement of OT secure products.
Strengthened device security across the development lifecycle
Informed decision making with data and insights from across the enterprise
Native cloud service for a data historian.
Safe and secure management and orchestration of the distribution grid
Network-level optimization with high-performing distribution power applications
Overcome foreseeable load variations
Minimized disruption of service even in extreme weather conditions
Effective management and orchestration to unlock the power of renewables and DERs
AI/ML energy market recommendations to improve profit for renewables and thermal generation assets
Increased output and energy production at times of highest demand
A common network view to ensure electrical integrity, network validity and infrastructure management
Operational efficiency and reduction in build costs while meeting regulatory regulations
Accurately model your asset network, support traceability, help assure data completeness, & support integrity management
End-to-end network connectivity modeling and data workflow management
Software designed to help grid operators orchestrate the grid
Increased efficiency and reduced costs
Secure-by-design connectivity and certification management, and faster operator response
Faster operator response and increased efficiency
Centralized visualization and configuration, digitized processes and intelligence
Full visualization and control seamlessly across devices, including phones, tablets and desktops
Best practices and proven deployment learnings
In-depth understanding of how GE Digital software can help your operations
Holistic performance management for today’s connected enterprise
Management of fast-moving processes as well as slower moving, labor-intensive jobs
Cost savings with improved manufacturing overall equipment effectiveness
Batch automation, regardless of the underlying equipment
Data analysis for quick identification of defects and better optimization of processes
Unified manufacturing data from disparate systems to better meet changing consumer demands
Procedures managed in an electronic format for consistency and predictability
Optimized production with better planning
Improved throughput with greater efficiency and lower costs
Materials to help you better understand GE Digital software and its robust functionality
Integrated solutions for improved efficiency and sustainability while supporting business growth
Mobile operator access to essential on-site HMI monitoring and control functions
Enable remote staffing, flexible resourcing and centralized monitoring across facilities
Boost worker productivity, automate tasks, keep safety first
Energy management for the zero carbon grid
Reliable mobilization of network assets to ensure maximum transmission of energy from multiple sources
Integrated solutions suite for energy market management
Decentralized data collection, data volume handling, and remote management
Getting the most benefit out of digitization and industrial IoT
Services that deliver best-in-class results
Rapid digital transformation wins based on industry-proven value cases and ROI
Best practices for your industrial processes to help build and maintain operational resilience
GE Digital’s expert service and support teams create value and deliver on business objectives
Expert service and support teams to maximize the benefits from your IIoT software
Improved efficiencies, optimized production and quality and reduced unplanned downtime
Increased reliability and availability, minimized costs, and reduced operational risks
Increased value from your equipment, process data, and business models
Facilitate documentation between airlines and lessors
Reduced costs related to disruptions with real-time visibility
The cornerstone of your journey to operational excellence
Operational excellence including improved reliability, reduced costs and managed risk
GridOS, the first grid software portfolio designed for grid orchestration
Reduced operational costs and risks using predictive models
Enhanced overall situational awareness
Field-connected operations and management
One modular solution that enables grid operators to connect, see, control, and optimize DERs from a technical and an economic standpoint
Reduced operational and new build costs and improved field inspection productivity
A holistic picture of the grid, reducing cost and complexity from traditional inspection approaches
Optimized operations to best meet changing consumer needs
Reduced variability and improved operations.
In-depth understanding of our software and its functionality
A clear a path to operational transformation
Maintain consistent quality and reduce cost per ton
Optimized costs and improved reliability while reducing risk to keep your teams and communities safe
Streamlined end-to-end operations driving high-volume, high-quality production
GE Digital software is the backbone of modern plant operations
Improved reliability, increased availability, and reduced O&M costs
AI/ML to make your gas turbine's fuel and air controls smarter
Increase energy production at times of highest demand without costly maintenance adders or adversely impacting the maintenance interval
Operate from anywhere with secure remote/mobile operator controls
Inclusive outsourcing services that deliver best-in-class results
Achieve digital transformation
Expert service teams to maximize the benefits from your IIoT software
Reduced costs, lower risk, and faster response times
Analytics to predict future asset and process performance for reduced variability & improved operations
A common network view to ensure integrity, network validity and infrastructure management
Mission critical software to better operate, optimize and analyze your work to deliver results
Locate the best partners to meet your needs
Digital transformation acceleration
Technical and domain expertise that complements GE Digital’s industry leading applications
Assistance to accelerate your digital transformation and put your industrial data to work
Deep domain knowledge and technical expertise
Product training, industry education, and rigorous certification programs
More efficient and secure electric grid, greater sustainability and waste reduction
Solutions for today, scale for tomorrow
Increased reliability and reduced reactive maintenance leading to higher efficiency and reduced costs
Using Digital Twin blueprints, GE's Industrial Managed Services team monitors 7,000+ global assets
Understanding of the latest thought leadership that can be applied to your operations
Understand how our software and services help our customers solve today's toughest challenges
Experienced team dedicated to customer success
Success stories and product updates from the world of Electrification Software
Analyst and third-party expert opinions of Electrification Software and our software and services
White papers, product overviews, and other content to help you put your industrial data to work
Experience in leading edge software development and business working with best-in-class leaders
Understand how Electrification software and services helps our customers solve today's toughest challenges
Blog
Companies in the process industry have started to recognize that the value of data created within their plants is underutilized, and often does not extend past manufacturing operations. Some are taking steps to provide greater visibility and integrate that data into wide-ranging business and operational analytics. These industrial organizations have the expectation that combining manufacturing, supply chain, and financial data, and even data external to the company, will drive higher profitability by uncovering “hidden” opportunities and previously unrecognized synergies for improvement.
We looked to our original Analytics That Matter research and sliced the aggregate data into the process industry collectively and the chemical industry as a sub-segment. Then, we examined how companies use metrics versus advanced analytics. Our researchers discovered that simple look-back metrics are no longer sufficient to manage the business. Companies are using advanced analytics to diagnose current and past performance and predict future performance. When an organization embarks on such a path, there may be confusion about the difference between metrics and analytics. Let’s revisit the two terms, define them, and explain how they are related.
In simple terms, METRICS are a method of measuring something or the results obtained from doing so. Metrics represent the values of what you’re measuring. When applied to business, the most important metrics —the indicators of business performance—are called key performance indicators (KPIs); it’s a widely understood term that’s been used for decades. Companies can apply KPIs to all areas and levels of the business.
For example, at the highest level, they may include:
At the plant level we usually see:
And at the asset performance level, companies may have:
ANALYTICS can be defined as the discovery, interpretation, and communication of meaningful patterns in data and applying those patterns toward effective decision-making. When we consider the LNS Research framework for analytics, we see that metrics are primarily descriptive in nature. That is, they describe what happened in the past or what’s happening now. Inspecting metrics may shed light on the diagnostic side but lacks an explicit explanation of the “why,” or reasons behind them.
When we use analytics to find the reasons behind the metrics and predict future performance, with options to take a specific action, then we are talking advanced analytics. From an operational perspective, the ability to analyze performance within a single plant, and relate it to the performance of other plants across the supply chain is invaluable to uncovering hidden opportunities and potential synergies for improvement in the enterprise.
This capability, which can be called operational performance analytics, is particularly valuable for those in the chemical industry. Plants do not exist and perform in isolation but are part of an overall value chain within a company and with suppliers and customers. Even in a large-scale continuous petrochemical operation such as an ethylene plant, there are byproducts that the company must leverage, i.e., consumed, converted, or sold. The same is true for companies that produce bulk and basic chemicals.
However, perhaps the most complex challenge is in specialty chemicals in which there are multi-product plants, some producing only intermediates for consumption by other plants, be they company owned or customers. As value chain complexity increases, the opportunities for uncovering added value does as well. Value chain is a tremendously ripe area for operational analytics to contribute to “scoring” rather than just the “scorekeeping” that comes with metrics alone.
Our research reveals three distinct trends. First, predictive analytics has taken off and is as widespread as diagnostic analytics, but occurring primarily at the plant level. Second, there is a significant drop off between predictive and prescriptive analytics, with predictive being most prevalent in maintenance. Options and actionable steps are missing. Finally, the first two trends indicate that there is a significant opportunity for companies to address operational analytics at the corporate level across the value chain, as well as add prescriptive analytics at the plant level.
Industrial companies are eager to put advanced analytics and data from manufacturing, supply chain, financial systems, and beyond to work to drive ever greater business performance. Businesses throughout the process industry, particularly those in chemical, have a lot to gain by finding hidden performance opportunities. Regardless of where the organization is in its quest to apply analytics, it can benefit from these additional steps:
Companies that make the connection between plants across the value chain using enterprise operational analytics yield a deeper understanding of performance and actions to improve it. It’s good to know and understand; it’s better to do something about it.
Learn how industrial companies drive business results in the webcast with LNS Research, “Driving Profitability with Plant and Process Data.” To learn how GE can support your Industrial Transformation click here.
Research Analyst, LNS Research
Joe Perino is a Research Analyst with LNS Research; where he primarily focuses on industrial transformation and operational excellence for oil and gas, process manufacturing and other asset-intensive industries. He also provides collaborative coverage across the Industrial Internet of Things (IIoT), Big Data, Cloud, advanced analytics, Edge computing, the Digital Twin, robotic process automation, blockchain, and asset performance management.
Watch our webcast with LNS Research to learn how the chemical industry can improve operational performance.
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Reach manufacturing excellence through Industrial IoT insights and intelligence.
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