Simulation Solutions for Pharmaceutical Manufacturing
Trends in Pharmaceutical Manufacturing
The Pharmaceutical & Life Sciences industry has historically been characterized by a reluctance to change processes and adopt technology due to regulatory constraints and pressures. This approach has started to change in recent years, however, as international regulatory agencies have started to embrace innovation and increase data collection and reporting requirements. Engineering Industries eXcellence has been on the forefront of this transformation, guiding pharmaceutical and life science manufacturers and facilitating the adoption of digital technologies aimed at improving quality, reducing patient risk and increasing data transparency.
Manufacturing Simulation for Pharma eXcellence
Manufacturing Simulation solutions provide a risk-free environment for evaluating process changes and predicting performance. By building and studying a virtual model of your physical production processes, also known as a Digital Twin, manufacturers can drive optimizations at the plant and process level to improve:
- Production Scheduling
- Capital Investment Justification
- Inventory Planning
- Factory/Lab Space Utilization
- Order Sequencing & Prioritization
Manufacturing Simulation
Capabilities
- Model layout of production lines and sites
- Model complex manufacturing processes
- Simulate processes and evaluate performance via “what-if” scenarios
- Identify and analyze bottlenecks, improvements or changes
Benefits
- Optimize processes and cycle times
- Improve productivity of equipment
- Minimize manufacturing, inventory and warehouse costs
- Optimize resource allocation
- Enable smarter decision-making for operations
Robotic & Human Ergonomics Simulation
Capabilities
- Model and plan robotic processes and human tasks
- Run ergonomics and safety studies
- Design and model production lines and workstations
- Validate commissioning of new products and processes
Benefits
- Detect and eliminate issues ahead of production
- Minimize risks and costs
- Increase efficiencies and process quality
- Optimize production cycle times and processes
- Justify optimal investment initiatives
