relayr > Case Studies > Improving productivity and quality in Textiles

Improving productivity and quality in Textiles

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 Improving productivity and quality in Textiles - IoT ONE Case Study
Technology Category
  • Application Infrastructure & Middleware - Data Exchange & Integration
  • Application Infrastructure & Middleware - Data Visualization
  • Functional Applications - Enterprise Asset Management Systems (EAM)
  • Functional Applications - Remote Monitoring & Control Systems
  • Platform as a Service (PaaS) - Data Management Platforms
  • Sensors - Utility Meters
Applicable Functions
  • Discrete Manufacturing
Use Cases
  • Factory Operations Visibility & Intelligence
The Challenge

VISIBILITY - Currently unable to see amount of power consumed per machine or plant; need to account for energy used per batch. WASTE - 10% of product fails quality standards, unable to identify point of failure (initial spinning, weaving, final processing, etc). INACCURACY - Acquiring OEE measurements and compiling them is a manual process, which lacks visibility into all parts of the production process and is error-prone. LACK OF INTEROPERABILITY - Outdated machinery still has long, effective lifespans but needs to connect to newer, digital assets

About The Customer
OVERVIEW: - Owner-operated company founded in 1997 - Mid-sized manufacturer with 5 plants in Europe - Each plant runs approx 150 production lines, running 800 spindles per production line - Produces high quality textiles across entire value chain (aerospa
The Solution

Information transparency is key to get to the root cause of profit losses in manufacturing. The Industrial IoT unleashes the data silos in productions lines, and turns data into real insights. relayr’s Smart Manufacturing Solution allows you to collect, manage, and analyze data straight from production line machines, regardless of the level of automation. With relayr Smart Manufacturing you can easily change your current IT production line environment into a predictive model.

Data Collected
Energy Consumption Rate, Energy Cost Per Unit, Power Consumption, Production Efficiency
Operational Impact
  • [Data Management - Data Visibility]
    Full Visibility into the key metrics that are impacting the production line and need to be communicated per machine in real-time: right rotation of spindles, direction of rotation, and power consumption.
  • [Process Optimization - Real Time Monitoring]
    Real-time monitoring of dust and humidity levels, to ensure the environment does not exceed acceptable thresholds that impact yarn quality.
Quantitative Benefit
  • A 5% reduction in total waste.

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