relayr Case Studies Rethinking Machine Performance

	Rethinking Machine Performance relayr

Rethinking Machine Performance

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Technology Category	Analytics & Modeling - Machine Learning Analytics & Modeling - Predictive Analytics Functional Applications - Enterprise Asset Management Systems (EAM)
Applicable Industries	Equipment & Machinery
Applicable Functions	Maintenance
Use Cases	Predictive Maintenance
Challenge	Machine uptime is one of the most vital performance factors for electric rotating machinery. In times when an hour of downtime can equate to thousands of dollars in losses, securing predictability turns into a high priority for all industrial businesses. Manufacturers operate in an extremely volatile environment, thus avoiding unplanned downtime becomes critical for achieving desired business outcomes. Predictive maintenance is no longer a nice-to-have but a necessity to survive and thrive in unfavourable conditions. Start from the basics. Making machines perform better means, first and foremost, understanding how the machine works, extracting relevant data, and gaining meaningful insights into ongoing processes. The power of the machine lies in utilizing its full potential. Read More
About Customer	Established in the late 1940s, FLANDERS began as Flanders Electric, a repair shop in Evansville, Indiana, growing over the next decades into a global leader in industrial control and power systems technology. The privately-owned, family-operated business Read More
Customer Name	Flanders Read More
Solution	Relayr’s Industrial IoT offering helps companies overcome these challenges and stay relevant in a competitive environment. A proactive approach guarantees reliability, predictability, and increased performance. Leveraging relayr’s artificial intelligence-based IoT technologies, FLANDERS can provide its customers with new digital services and thus further reduce unexpected downtime and improve asset performance. Furthermore, operators gain ongoing insights into critical failures and efficiency levels, thus increasing machine predictability and performance. Through the partnership, it is now possible to reduce capital expenditures and ensure maximum production of critical assets. FLANDERS is the first company in the market for customers in mining and heavy industrial markets that can offer innovative, guaranteed uptime and pay-per-use models. Read More Log in to view content
Contents

Technology Category

Analytics & Modeling - Machine Learning

Analytics & Modeling - Predictive Analytics

Functional Applications - Enterprise Asset Management Systems (EAM)

Applicable Industries

Equipment & Machinery

Applicable Functions

Maintenance

Use Cases

Predictive Maintenance

Challenge

Machine uptime is one of the most vital performance factors for electric rotating machinery. In times when an hour of downtime can equate to thousands of dollars in losses, securing predictability turns into a high priority for all industrial businesses. Manufacturers operate in an extremely volatile environment, thus avoiding unplanned downtime becomes critical for achieving desired business outcomes. Predictive maintenance is no longer a nice-to-have but a necessity to survive and thrive in unfavourable conditions. Start from the basics. Making machines perform better means, first and foremost, understanding how the machine works, extracting relevant data, and gaining meaningful insights into ongoing processes. The power of the machine lies in utilizing its full potential.

About Customer

Established in the late 1940s, FLANDERS began as Flanders Electric, a repair shop in Evansville, Indiana, growing over the next decades into a global leader in industrial control and power systems technology. The privately-owned, family-operated business

Customer Name

Flanders

Solution

Relayr’s Industrial IoT offering helps companies overcome these challenges and stay relevant in a competitive environment. A proactive approach guarantees reliability, predictability, and increased performance. Leveraging relayr’s artificial intelligence-based IoT technologies, FLANDERS can provide its customers with new digital services and thus further reduce unexpected downtime and improve asset performance.

Furthermore, operators gain ongoing insights into critical failures and efficiency levels, thus increasing machine predictability and performance. Through the partnership, it is now possible to reduce capital expenditures and ensure maximum production of critical assets. FLANDERS is the first company in the market for customers in mining and heavy industrial markets that can offer innovative, guaranteed uptime and pay-per-use models.

Impact #1	[Efficiency Improvement - Production Uptime] FLANDERS can provide its customers with new digital services and thus further reduce unexpected downtime and improve asset performance.
Impact #2	[Data Management - Data Analysis] Operators gain ongoing insights into critical failures and efficiency levels, thus increasing machine predictability and performance.
Impact #3	[Cost Reduction - Maintenance] Reduce capital expenditures and ensure maximum production of critical assets.

Impact #1

[Efficiency Improvement - Production Uptime]

FLANDERS can provide its customers with new digital services and thus further reduce unexpected downtime and improve asset performance.

Impact #2

[Data Management - Data Analysis]

Operators gain ongoing insights into critical failures and efficiency levels, thus increasing machine predictability and performance.

Impact #3

[Cost Reduction - Maintenance]

Reduce capital expenditures and ensure maximum production of critical assets.

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Overview

Rethinking Machine Performance

Operational Impact