Key Challenges
- The Manufacturing Execution System is based on the the needs and requirements of stakeholders, including suppliers, manufacturers, and regulatory agencies
- Ensure data security as the company handles sensitive and confidential data, such as patient information and trade secrets
- Integrate the tool with existing systems in place for logistics, and supply chain management to be more effective
Technologies
Solution
- Plugged in our global engineering & distributed teams capability in multiple technologies viz., Python, React and Angular, .Net Core, Container (Kubernetes and Docker)
- Built and maintained a scalable microservices MES System that can handle large volumes of data, transactions and stakeholders making it easier to adapt to changing business needs or traffic patterns
- Developed system uses real-time input system, such as sample tracker, to track samples within the process flow as well as accurately document reagents and instruments used
- Leveraged ReactJs to build the user interface of the MES system, making it more user-friendly and intuitive and easy to maintain and update the system
- Created backend API‘s development using Python Django while working with databases such as Postgres, MySQL
- Connected these APIs with SAP allowing data to be exchanged in real-time for increased efficiency and improved data visibility
- Implemented robust security measures to safeguard sensitive data
Benefits
- Improved efficiency by identifying bottlenecks in production processes, allowing manufacturers to optimize production lines, reduce downtime, and increase overall productivity
- Allowed manufacturers to quickly identify and resolve issues with real-time data on production processes
- Helped client with faster time to market with better decision making
