About the Client
Colourcon is a global pharmaceutical technology provider specialising in specialty chemicals, excipients, and film coating systems, operating a complex make-to-order model across a distributed network of manufacturing sites.
Pre-manufacturing activitiesl ike planning, scheduling, and resource allocation play a critical role in determining capacity utilisation, batch execution, and overall production efficiency.
Business Challenges
Pre-manufacturing processes were manual and fragmented, leading to inconsistent planning and scheduling outcomes
High dependence on manual workflows increased operational effort and limited scalability
Resource allocation across equipment and workforce lacked optimisation, impacting capacity utilisation
Planning did not fully account for constraints such as shift patterns, downtime, and batch sequencing
Limited visibility into pre-manufacturing activities reduced coordination across sites
Growing need to prepare for ERP modernisation and cloud adoption without disrupting operations
What We Did
Pre-manufacturing planning and scheduling were brought into a more structured and system-driven model, enabled by Oracle Fusion Cloud Planning.
- Consolidated demand inputs from sales orders into a unified planning view
- Established constraint-based production scheduling, incorporating shift timings, capacity, downtime, and batch sequencing
- Introduced automated resource allocation across equipment and workforce to reduce manual intervention
- Developed targeted extensions to assign optimal equipment based on capacity constraints
- Integrated planning and scheduling workflows with upstream and downstream systems using Oracle Integration Cloud
- Created a scalable foundation to support future ERP modernisation and cloud transformation
Value Delivered
Reduced manual effort across pre-manufacturing planning and scheduling
Improved capacity utilisation across equipment and production resources
More consistent and reliable production schedules across sites
Increased visibility into planning and scheduling decisions
Reduced operational inefficiencies and associated costs
Established a scalable, system-driven foundation for future transformation
Improved alignment between demand, planning, and execution