DataFab Solutions
Case Study
Data-Driven Manufacturing Solutions for BLMA
We partnered with Atarwa to develop and implement a suite of applications for BLMA, a web application designed to empower manufacturing businesses with data-driven insights. This collaboration involved developing solutions for data collection, processing, and analysis to optimize production processes and enhance product quality.
The Vision
To provide BLMA with a comprehensive, data-driven solution that optimizes manufacturing processes, enhances product quality, and drives continuous improvement by leveraging technology to capture and analyze manufacturing data.
Scenario
Optimizing Manufacturing Processes with Data
Manufacturing businesses often face challenges in maintaining consistent product quality, identifying inefficiencies in production, and adapting to evolving market demands. BLMA aimed to address these challenges by providing a platform that captures and analyzes manufacturing data, enabling companies to gain actionable insights and improve their operations.
What we did
We developed and implemented a three-pronged approach for BLMA
We developed the user interface (UI) for data collection, enabling manufacturing businesses to capture critical data points throughout their production processes. This application allows for the effective capture of manufacturing process data, forming the foundation for subsequent analysis and reporting. We also integrated analytics monitoring features within the application, providing users with real-time insights into their operations. The application includes functionalities to capture analytics in report generation.
We provided AWS infrastructure support to ensure a scalable and reliable platform for BLMA. Comprehensive documentation of infrastructure services and the build and deployment process was created. We implemented build triggering and monitoring using Jenkins to streamline the software development lifecycle.
Key features of the experience
The Impact
BLMA empowered manufacturing businesses to make data-driven decisions
Improved product quality through data-driven process optimization. Increased efficiency by identifying and addressing production bottlenecks. Enhanced visibility into manufacturing operations through comprehensive reporting. Reduced costs through optimized resource allocation and waste reduction. Better understanding of manufacturing processes.
Faster data processing
cutting data latency from hours to minutes and enabling real-time insights
Enhanced data accuracy
powered by a robust, rule-based quality engine.
Streamlined workflows
significantly reduced manual intervention and enhanced team productivity