A custom MES platform with integrated Siemens IoT sensors ensured real-time visibility and helped achieve 70% Overall Equipment Effectiveness.
About the client
A Northern European automotive manufacturer partnered with us to digitize and optimize its multi-brand production environment
About
the Product:
The main focus was to introduce a custom Manufacturing Execution System (MES) with integrated CRM functionality across many manufacturing locations. The platform has ensured full production visibility, process traceability, and workflow automation across multiple manufacturing lines, contractors, and brands.
Introduction:
Referred to us by a mutual contact, the client required a scalable solution to unify production monitoring, streamline communication across time zones, and integrate seamlessly with Siemens sensors on site. The goal was to reduce defects, enhance operator efficiency, and centralize overall decision-making, improving business performance at large.
Project
Team:
12 experts allocated (3 per brand), ensuring personalized attention to each production line while maintaining a cohesive product vision. Each group included a full-stack developer, a UX/UI designer, and a QA specialist.
Challenges:
The unique set of challenges stemmed from the need to align multi-brand operations across different time zones, integrate legacy systems with modern IoT devices like Siemens sensors, and ensure seamless scalability without disrupting existing workflows. The major difficulties included:
Tech
Stack:
Backend: .NET, MS SQL
Frontend: MVC, JQuery
Hardware Integration: Siemens sensors across all facility nodes
Solution:
To address the industry-specific challenges, we’ve delivered a comprehensive solution. A robust Enterprise Manufacturing System has been designed to unify operations, enhance process visibility and control, and optimize every stage of the production cycle:
Results:
The implementation has led to improved operational efficiency, quality control, and decision-making across the production floor.
Sum Up:
As a continuation of lean and agile manufacturing processes, the MES platform has helped the client streamline manufacturing processes, reduce downtime, and make data-driven decisions in real-time, leading to a significant optimization of production efficiency and further business capitalization.
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