Development of a Global Production Data Visualization and Analysis Platform for Manufacturing Plants

The organization faces difficulties in monitoring and verifying production metrics such as productivity, equipment availability, scrap rates, and downtime across multiple disparate systems and formats. Manual checks through various tools and Excel files are inefficient, unreliable, and time-consuming, especially under tight deadlines to analyze data for decision-making and process improvements.

A large-scale manufacturing enterprise operating multiple production plants worldwide, seeking centralized data insight tools to enhance operational efficiency.

• Develop an internal analytics dashboard that visually presents production data in an intuitive and comprehensible manner.
• Implement connectors to aggregate production data from multiple plant systems to enable comprehensive, high-level analysis.
• Provide a proof of concept with real data from at least one plant to validate data integration feasibility and system responsiveness.
• Facilitate quick data access and interpretation to support real-time decision-making and operational improvements.
• Establish plans for scaling the solution to include data from additional plants and to support future feature enhancements.

• Dashboard interface for visual representation of key production metrics such as yield, downtime, scrap, and productivity.
• Data connectors to extract and unify data from various plant systems, accommodating different data formats and sources.
• Prototype development with a temporary data adapter to facilitate rapid deployment and validation using actual plant data.
• Modular architecture to allow easy integration of additional data sources and expansion of functionalities.
• Responsive frontend designed for clarity and ease of interpretation, utilizing modern UI/UX principles.

• Integration with existing production systems for data extraction
• Potential interfaces for real-time data updates
• Secure access protocols for sensitive production data

• Support for concurrent data connections from multiple plants
• Minimal latency for real-time data updates
• High system availability and reliability to avoid downtime during critical analysis periods
• Data security and compliance with enterprise standards

By connecting real plant production data into a centralized, visually compelling dashboard, this system is expected to enable quicker interpretation of KPIs, reduce manual verification efforts, and improve decision-making efficiency. Initial deployment with data from one plant aims to demonstrate feasibility and garner positive stakeholder feedback, setting the stage for scaling across additional facilities. Overall, the project should enhance data transparency, streamline operational monitoring, and support continuous process improvements, leading to improved productivity and reduced downtime.