Mar 20, 2024
No image
Ongoing
IIoT platform for a manufacturing company: 20-30% boost in productivity
$100,000+
more 1 year
United Kingdom
10+
Service categories
Service Lines
Software Development
IoT Development
Domain focus
Manufacturing
Programming language
C#
JavaScript
TypeScript
Challenge
Create an IoT monitoring platform that would manage all processes at the enterprise by gathering, analyzing, storing, and processing data. Related objectives:
1) build a smart factory application;
2) implement ML algorithms;
3) increase the client’s production efficiency.
Create an IoT monitoring platform that would manage all processes at the enterprise by gathering, analyzing, storing, and processing data. Related objectives:
1) build a smart factory application;
2) implement ML algorithms;
3) increase the client’s production efficiency.
Solution
The team created an IoT platform with modules for:
Predictive Maintenance: Sensors on equipment monitor temperature and vibration, alerting operators to irregularities
Environmental Control: Monitors factory conditions (humidity, temperature, noise) and air quality, alerting when limits are exceeded and suggesting solutions.
Manufacturing Effectiveness: Collects sensor data to analyze overall equipment effectiveness, highlighting factors affecting OEE, identifying issues, and tracking performance metrics.
Quality Assurance: Tracks production quantity and quality, offering detailed insights on each item and identifying trends in scrap rates to improve quality metrics.
This platform streamlines process oversight, maintenance, environmental safety, and quality control in enterprises.
The team created an IoT platform with modules for:
Predictive Maintenance: Sensors on equipment monitor temperature and vibration, alerting operators to irregularities
Environmental Control: Monitors factory conditions (humidity, temperature, noise) and air quality, alerting when limits are exceeded and suggesting solutions.
Manufacturing Effectiveness: Collects sensor data to analyze overall equipment effectiveness, highlighting factors affecting OEE, identifying issues, and tracking performance metrics.
Quality Assurance: Tracks production quantity and quality, offering detailed insights on each item and identifying trends in scrap rates to improve quality metrics.
This platform streamlines process oversight, maintenance, environmental safety, and quality control in enterprises.
Results
Timspark has leveraged IoT for manufacturing and delivered a web application that monitors all the production processes, thus enhancing efficiency and mitigating risks. Also, our team provided maintenance and support services for the IIot platform they built. The client is eager to introduce new features and scale IoT for enterprise by applying it to other facilities.
Timspark has leveraged IoT for manufacturing and delivered a web application that monitors all the production processes, thus enhancing efficiency and mitigating risks. Also, our team provided maintenance and support services for the IIot platform they built. The client is eager to introduce new features and scale IoT for enterprise by applying it to other facilities.