Sight Machine > Case Studies > Digital Transformation of Magnet Wire Manufacturer: Increasing Throughput and Quality with Sight Machine

Digital Transformation of Magnet Wire Manufacturer: Increasing Throughput and Quality with Sight Machine

Sight Machine Logo
 Digital Transformation of Magnet Wire Manufacturer: Increasing Throughput and Quality with Sight Machine - IoT ONE Case Study
Technology Category
  • Analytics & Modeling - Machine Learning
  • Functional Applications - Manufacturing Execution Systems (MES)
Applicable Industries
  • Electrical Grids
  • Equipment & Machinery
Applicable Functions
  • Maintenance
  • Quality Assurance
Use Cases
  • Predictive Maintenance
  • Visual Quality Detection
Services
  • Testing & Certification
The Challenge
Essex Furukawa, the world's largest magnet wire manufacturer, faced increased demand for electric vehicle (EV) motors while needing to address supply-chain challenges. They sought to digitally transform their manufacturing plants to increase throughput and uptime without sacrificing quality.
The Customer
About The Customer
Essex Furukawa is the world's largest manufacturer of magnet wire/winding wire, which powers motors including EV motors. They needed to meet the growing demands of the EV market while maintaining their position as a market leader.
The Solution
Essex Furukawa partnered with Sight Machine to unlock their plant data and improve manufacturing productivity. They deployed Sight Machine on Microsoft Azure, which provided a secure and scalable cloud platform for real-time streaming, analysis, and enhanced insights. Sight Machine turned all production data into a common data foundation for manufacturing operations and analysis, allowing Essex Furukawa to track Overall Equipment Effectiveness (OEE) across all plants and continuously improve production speed, quality, and availability.
Quantitative Benefit
  • The deployment of Sight Machine on Azure allowed Essex Furukawa to have a single, trusted, and dynamically updated view of production. This enabled them to adopt a unified method to track OEE across all plants and greatly improve throughput. The recommendations from Sight Machine's analytics models resulted in significant efficiency improvements.

Case Study missing?

Start adding your own!

Register with your work email and create a new case study profile for your business.

Add New Record

Related Case Studies.

Contact us

Let's talk!
* Required
* Required
* Required
* Invalid email address
By submitting this form, you agree that IoT ONE may contact you with insights and marketing messaging.
No thanks, I don't want to receive any marketing emails from IoT ONE.
Submit

Thank you for your message!
We will contact you soon.