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​