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Overview
Samsung SDS Nexplant is an extensive manufacturing platform that connects shop‑floor operations with AI-driven analytics and IoT for real‑time decision‑making and quality inspection. While the platform’s performance can be slow under extensive load, it automates scheduling and machine control to boost efficiency.
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Starting Price
Custom
Samsung SDS Nexplant Specifications
Production Planning
Quality Control
Supply Chain Management
Work Order Management
What Is Samsung SDS Nexplant?
Samsung SDS Nexplant is a cloud-based manufacturing platform that automates production workflows, dispatching, scheduling, and machine operations while collecting rich operational data. Its analytics layer uses big‑data and machine learning to detect anomalies, optimize yield, and perform root‑cause analysis of defects. The system supports fully automated and light‐out manufacturing by enabling real‑time monitoring, quality inspection, and predictive decision‑making. It also enhances cost quality and production competitiveness, leading to long-term business growth.
Samsung SDS Nexplant Pricing
Samsung SDS Nexplant Integrations
Who Is Samsung SDS Nexplant For?
Samsung SDS Nexplant is suitable for the following sectors:
- Service
- Manufacturing
- Logistics
- Marketing
- Sales
Is Samsung SDS Nexplant Right For You?
Samsung SDS Nexplant software is suitable for businesses aiming to transform their factories into smart, data-driven operations with minimal human intervention. It improves throughput by automating scheduling, dispatching, and machine control, while reducing quality issues through AI‑powered defect detection. The platform’s real‑time data collection and analytics empower teams to make faster, more accurate decisions about productivity and maintenance.
Still not sure if Samsung SDS Nexplant is right for you? Contact our customer helpline at (661) 384-7070 for further guidance.
Samsung SDS Nexplant Features
Samsung SDS Nexplant schedules production and work orders in real time, optimizing sequencing across processes and machines. It dispatches lots dynamically based on job priorities and machine events.
The software executes manufacturing operations by managing resources like machines, personnel, tools, and molds with real‑time data collection. It tracks ‘WIP’, production progress, and lot transfers while maintaining full traceability of production.
The system implements remote control of production machines using standard protocols like SECS for automated data collection and control. It standardizes equipment data and connects machine status and lot information to production and inspection workflows.
The platform analyzes sensor data, logs and alarms via its ‘Equipment Engineering’ module to improve equipment health and yield. It enhances quality by applying AI‑driven root-cause analysis using big‑data analytics to reduce defects.
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