Leading Indian EV Bike Manufacturer — Comprehensive MOM/MES Solution

A Leading Indian EV Bike Plant Needed a Unified MOM/MES Foundation

A leading Indian EV bike plant required a robust MOM/MES solution to streamline production, real-time monitoring, and SAP integration. The system needed to encompass skill assessment, shift management, alarm handling, and production tracking — a broad functional scope for a rapidly scaling EV two-wheeler manufacturer.

Efficient Data Management and Real-Time Monitoring

Without a structured database foundation, the plant struggled to manage production data efficiently or maintain real-time visibility into shop-floor alarms and monitoring events — a critical gap for an EV bike manufacturer scaling production to meet growing market demand.

Workforce Tracking and Optimization

Skill assessment, shift scheduling, and workforce allocation were not systematically tracked, limiting the plant's ability to match the right operators to the right stations and shifts — directly affecting production consistency and throughput.

Seamless SAP Integration

The plant needed its MES data to synchronize cleanly with SAP, but without a SQL-based integration layer purpose-built for this connection, production data and enterprise systems risked falling out of sync.

A Comprehensive MOM/MES Solution Centered on Database Design and Development

QAS implemented a comprehensive MOM/MES solution built around structured Database Design & Development, covering Real-Time Monitoring & Alarm Notifications, Structured Database Design in MSSQL, SQL-Based SAP Integration, Production Data Management Optimization, SAP-MES Data Synchronization Enhancement, Workforce Allocation & Skill Assessment, Production Planning & Tracking, and User Skill Assessment & Shift Scheduling.

Built on a Focused MS SQL Foundation

The implementation was built using MS SQL as the core technology, demonstrating that a well-architected database layer — rather than a large multi-tool stack — can deliver comprehensive MOM/MES functionality when designed around the client's specific production and SAP integration needs.

A Lean, Efficient Delivery Team

A team of just 2 to 3 QAS engineers delivered this solution across onsite and offshore delivery models over a 9-month engagement — one of QAS's leanest and fastest MOM/MES deployments, reflecting a tightly scoped, database-first delivery approach.

From Fragmented Data to a Structured MOM/MES Foundation

The solution gave this EV bike manufacturer a structured database foundation connecting real-time monitoring, alarm notifications, and production tracking — replacing what had previously been fragmented, harder-to-manage production data.

Measurable Gains in Workforce and Production Optimization

With workforce allocation and skill assessment, production data management optimization, and SAP-MES data synchronization enhancement now in place, the plant improved both shift-level workforce efficiency and enterprise-level data consistency.

A Foundation for Battery, Energy, and Supply Chain Gains

The MOM/MES foundation directly supports battery management and optimization, energy efficiency and cost reduction, and supply chain and sustainability goals — positioning the plant for continued smart manufacturing maturity as production scales.

A Fast, Lean Digital Transformation Model

Delivered in just 9 months with a 2-3 person team, this engagement demonstrates QAS's ability to deliver comprehensive Industry 4.0 MOM/MES capability efficiently — proving that database-centric MES architecture can achieve enterprise-wide impact without a large team or extended timeline.