Manufacturing
SUMMIT MANUFACTURING
Smart Manufacturing Platform
Project Overview
55%
Process efficiency
40%
Reduced downtime
30%
Quality improvement
12
Facilities integrated
The Challenge
Business Challenge
Summit Manufacturing needed to integrate their 12 manufacturing facilities into a unified platform to improve process efficiency, reduce downtime, and enable data-driven decision making.
Technical Challenge
Each facility had separate systems with no integration, data was siloed, there was no real-time visibility across facilities, and maintenance was reactive rather than predictive.
Our Strategy
Unified manufacturing platform
IoT sensor network across facilities
Predictive maintenance system
Real-time production monitoring
Architecture
IoT platform for sensor data
Central data lake for analytics
Microservices for each facility
Real-time dashboard and alerts
ML models for predictive maintenance
Implementation
01
4-month platform architecture design
02
6-month IoT sensor deployment
03
8-month platform development
04
3-month integration and testing
05
3-month phased rollout across facilities
Technology Stack
Python
Java
Apache Kafka
Spark
TensorFlow
AWS IoT
PostgreSQL
Grafana
Docker
Kubernetes
Project Timeline
24 months
Total Duration
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