About Client

Our client is a leading pharmaceutical manufacturer of high-quality and affordable medicines. They’re recognized for their strong portfolio in generic and branded formulations, biosimilars, and active pharmaceutical ingredients (APIs). Backed by 18 world-class manufacturing facilities and a dedicated team of 20,000, they’re deeply committed to meeting global healthcare needs while promoting sustainable manufacturing processes and fostering growth and innovation among healthcare professionals, patients, and stakeholders worldwide.

Challenge

● Lack of real-time visibility into operational performance due to reliance on manual reports, leading to productivity losses. ● Managers were not able to identify and address issues of production due to inadequate KPI management and a lack of early indicators of productivity related losses. ● Challenges in optimizing the production yield lead to inefficiencies and downtime, impacting productivity and profitability. Solution ● Strategically implemented a real-time operational intelligence dashboard, providing real-time visibility for tracking KPIs, including OEE, availability, performance, and quality metrics. ● Employed detailed downtime analysis and capacity utilization metrics, enabling targeted interventions to minimize disruptions and inefficiencies. ● Developed and deployed advanced analytics module and machine learning algorithms to efficiently analyze data and deliver valuable insights, enabling data-driven decision making. ● Strategically implemented yield optimization simulations based on control parameters to enhance production efficiency while reducing wastage.

Solution

● Strategically implemented a real-time operational intelligence dashboard, providing real-time visibility for tracking KPIs, including OEE, availability, performance, and quality metrics. ● Employed detailed downtime analysis and capacity utilization metrics, enabling targeted interventions to minimize disruptions and inefficiencies. ● Developed and deployed advanced analytics module and machine learning algorithms to efficiently analyze data and deliver valuable insights, enabling data-driven decision making. ● Strategically implemented yield optimization simulations based on control parameters to enhance production efficiency while reducing wastage.

Business Impact

• Enhanced Visibility
• Reduced Downtime & Maintenance costs
• Improved KPI Management
• Optimized Production Yield
• Improved Operational Efficiency
• Maximized Productivity & Cost Savings