Glossary

Manufacturing Execution System (MES)

What is a Manufacturing Execution System (MES)?

A Manufacturing Execution System (MES) is a software-based solution that monitors and controls manufacturing processes on the shop floor. It serves as a bridge between enterprise-level planning systems, such as ERP (Enterprise Resource Planning), and actual production operations, enabling real-time tracking and documentation of the transformation of raw materials into finished products.

What are the key functions of an MES?

According to the MESA-11 model, the core functions of an MES include:

  • Operations management
  • Resource allocation and status
  • Dispatching production units
  • Performance analysis
  • Maintenance management
  • Process management
  • Quality management
  • Data collection and acquisition
  • Product tracking and genealogy
  • Labour management
  • Document control

How does MES support regulatory compliance in pharma?

MES solutions help pharmaceutical companies comply with regulations from bodies like the FDA and EMA by providing features for electronic batch records, traceability, and documentation that ensure quality and safety standards are met throughout the manufacturing process.

How does MES differ from ERP?

While both MES and ERP systems are crucial for manufacturing operations, they serve different purposes. MES focuses on real-time monitoring and control of production processes, whereas ERP encompasses broader business management functions, including finance, HR, and supply chain management. MES provides immediate data for operational decisions, while ERP typically handles historical data for strategic planning

What deployment options are available for MES in pharma?

Common deployment options for MES include:

  • On-Premises Installations: Hosted within the organization’s infrastructure, offering full control over data management but requiring significant investment.
  • Cloud-Based Solutions: Hosted on remote servers, providing flexibility and scalability with lower upfront costs, although they may raise security concerns.
  • Hybrid Models: Combining on-premises and cloud solutions to balance control and flexibility.