Cantier MES 4.0 is the AI-Powered, Next Generation, Manufacturing Execution System (MES) that integrates seamlessly with legacy and modern manufacturing environments, combining Execution, IIOT, and Manufacturing Intelligence capabilities into a single platform for Real-time operations visibility, predictive decision support and autonomous actions.
Our solutions have shown significant improvements in manufacturing Shop-floor Traceability, Visibility, Quality, and Overall Equipment Effectiveness (OEE) leading to Real-time flow of accurate information towards Data-driven decisions.
Cantier Manufacturing Intelligence built with Machine learning predicts equipment downtime, parts failure, and potential quality issues, unlocking the contextual data from the shop floor equipment and devices to deliver significant business value to our customers.
WIP (Work in Progress) Traceability enables the manufacturer to track the manufactured products or materials as they flow in the production floor as well as record keeping of the parts source, material certificate, number, batch number, date of manufacturing, inspection date, and etc. This lineage of information will facilitate quick recall of the identified defects and prevent further damages or failures to the overall final product safety which at times, can be life threatening.
Cantier SPC with the intelligence capability collect data real-time, analyzes data based on user defined tests, and helps draw conclusions. Hence manufacturers make data-driven decisions to improve product quality, reduce risk, and to meet compliance requirements. With the machine learning intelligence features, Cantier SPC provides Predictive Quality based on the historical data.
On the collection side of the equation, the Cantier SPC can acquire data through IIoT gateway to the metrology equipment and tools. It acquires data inputs from PLCs, Industrial PCs, PC based programs like MS Excel, CSV Files, Text files and other formats.
Cantier CMMS (Computerized Maintenance Management System) provides users with a set of tools needed to track, predict and improve equipment performance in the factory. CMMS manages scheduled, unscheduled equipment maintenance and predictive maintenance activities. Predictive maintenance includes Usage based and Condition based maintenance activities from the real-time data being collected from the IIoT Gateway that is connected to PLCs, Industrial PCs, Edge Devices and Sensors.
Machine Learning models based on the historical data predicts equipment failures and proactive maintenance incidents. CMMS helps companies monitor and improve Maintenance KPIs such as MTBA, MTBF, MTTR, OEE and thereby increasing their ROI while decreasing operational costs.
Littelfuse a Global Electronics Industry technology manufacturing company faced the challenge of implementing Industry 4.0 solutions with minimal capex investments across multiple factories having old machines. Cantier enabled real-time connection across 127 machines through IIoT Gateway for MES 4.0 implementation.
