Consumer electronics manufacturing
from Taiwanese
The client belongs to one of the world’s largest Taiwanese OEM/ODM manufacturing groups, recognized globally for supplying Tier-1 consumer electronics brands. With two large-scale factories located in Hai Phong and more than 1,160 energy measurement points distributed across manufacturing, HVAC, plating, molding, and office areas, the client operates complex, energy-intensive production systems that require precise real-time monitoring and centralized data control. As part of a multi-billion-dollar corporation ranked among the top electronics manufacturers worldwide, the client adheres to strict international standards for operational efficiency, sustainability, and cost management. Their large industrial footprint and continuous production model make energy transparency and optimization essential for maintaining stable factory performance.
Establish comprehensive visibility into electricity consumption across all production areas.
Tracking energy usage by zone, department, and equipment group with clear, structured data.
Eliminating manual processes such as meter reading, Excel consolidation, and manual cost allocation.
Ensuring accurate, real-time measurement to support cost control and trend monitoring.
Automating cost calculations based on normal/low/high-load tariff tiers.
Reducing reporting time while improving accuracy and transparency for management.
Before deploying NxEMS, the client encountered multiple operational challenges caused by the scale and complexity of energy consumption across the two factories:
Lack of accuracy: Electricity usage at each workshop, zone, or equipment cluster could not be clearly tracked, making it difficult to understand where and how energy was being consumed.
Fragmented and inconsistent data: Meter readings were scattered, manually collected, and easily delayed, leading to mismatched data between areas and slow report consolidation.
Inaccurate cost allocation: Without real-time, structured consumption data, departments could not be charged correctly or compared fairly.
Manual, time-consuming reporting: Preparing monthly electricity reports required significant labor effort and was prone to errors.
No trend monitoring: The factory lacked tools to observe consumption patterns or abnormal surges to support predictive control or optimization.
To address energy transparency and cost-control challenges at scale, NxEMS was deployed as a centralized, real-time Energy Management System, connecting 1,160+ energy measurement points across two large electronics factories.
Comprehensive energy optimization: Real-time visibility into electricity consumption by factory, workshop, and department.
Automated & Accurate Data: Elimination of manual meter readings and Excel-based consolidation.
Precise Cost Allocation: Automatic calculation and allocation of electricity costs using three-tier tariff logic.
Actionable Insights: Centralized dashboards for trend analysis and early detection of abnormal consumption.
Faster & Reliable Reporting: One-click report generation with verified, consistent data.
50–90%
Reduction in Manual Effort
1.160+
Energy Points Connected
17%
Reduction in Energy-Related Downtime
Clear energy visibility enabled proactive control: Centralized, real-time monitoring across two factories gave the plant full visibility into energy usage by area and department, covering more than 1,160 measurement points and eliminating blind spots in daily operations.
Automation replaced manual, error-prone processes: Automated data collection removed manual meter reading and Excel consolidation, cutting administrative effort by 50–90% and ensuring consistent, reliable energy data.
Earlier issue detection improved operational stability: Real-time dashboards helped identify abnormal energy usage early, contributing to a 17% reduction in energy-related downtime and preventing prolonged waste.
Accurate cost allocation strengthened internal discipline: Electricity costs were calculated automatically using three-tier tariffs and allocated precisely by department, improving cost transparency and accountability.
Data-driven management supported large-scale operations: With trusted, real-time energy data, management made faster decisions and maintained stable operations across high-volume production environments.