ZETA|Success Stories|Stand-Alone Simulation: Optimizing a Fill & Finish Facility
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Stand-Alone Simulation: Optimizing a Fill & Finish Facility

ZETA validates the planned capacity for a greenfield facility and saves a €5 million investment by using simulation expertise.

A capacity analysis using INOSIM Insight confirmed that production targets had been met and that the cost of a new filling line could be avoided.

Smart simulations, smarter savings. €5M saved through digital validation.

A well-known pharma company was preparing to invest in a new Fill & Finish facility for plasma derived products. The assumption driving this decision was that the existing setup would not meet future production demands. ZETA was brought in to simulate the greenfield facility and validate whether the planned capacity and equipment could fulfill the production targets. Analysis with INOSIM Insight confirmed the production targets could be met with the proposed equipment. This saved the cost for a new filling line (approximately EUR 5 Mio).

On top of that, the ZETA team designed an automatic production scheduling algorithm. With a strong focus on production optimization, the scheduler provided two additional free weeks at the end of the year.

Close-up view of a pharmaceutical production line with multiple glass vials filled with a clear blue liquid, each sealed with a red cap, moving along a conveyor system in a sterile manufacturing environment.

Customer Feedback

Project Engineering Team

“It was worth it to change from SchedulePro to Inosim.”

Close-up view of a pharmaceutical production line with multiple glass vials filled with a clear blue liquid, each sealed with a red cap, moving along a conveyor system in a sterile manufacturing environment.

Customer Feedback

Head of new Fill&Finish Facility Project

“The model stays flexible and is valuable for the future.”​

 

Close-up view of a pharmaceutical production line with multiple glass vials filled with a clear blue liquid, each sealed with a red cap, moving along a conveyor system in a sterile manufacturing environment.

Customer Feedback

Head of new Fill&Finish Facility Project

“We have synergies for the next development steps.”​

The challenge

The customer faced a critical decision: proceed with a costly expansion or optimize the current design. They needed clarity on whether the existing equipment could meet annual production goals, how efficiently it would be utilized, and whether storage and production capacities were sufficient.

The solution

Simulation model

ZETA developed a comprehensive simulation model of the entire Fill & Finish process, incorporating real-world variables such as material flow, shift patterns, and maintenance shutdowns. INOSIM Insight utilizes advanced discrete event simulation algorithms to model production workflows, optimize resource allocation, and predict bottlenecks.  Unlike traditional scheduling and simulation tools, such as Finite Capacity Schedulers, INOSIM’s algorithmic approach significantly accelerates the analysis of various scenarios, enabling rapid and efficient decision-making. The simulation tested both the customer’s initial plan and ZETA’s optimized scenarios. Remarkably, the entire project was completed in just 8 weeks at a cost to the customer of no more than €45,000.

The model is designed to be very intuitive and easy to use. All necessary parameters and controls can be managed using MS Excel sheets. This ensures that the model remains useful throughout the entire engineering lifecycle of the facility.

Outcome

The simulation demonstrated that the filler and packaging lines operated at an optimal 83% utilization rate, with sufficient storage capacity throughout the year. By avoiding unnecessary investment in a new filling line, the customer saved €5 million.  In addition to significant cost savings being achieved, several challenges were overcome with INOSIM Insight.

Mastered challenges.

Bottlenecks

Enhanced production efficiency, reducing the risk of bottlenecks.

Flexibility

Highly flexible, user-friendly model.

Production plan

Automated and optimized production plan creating two additional free weeks.

Resources

Improved resource utilization and scheduling.

User friendliness

Intuitive user interface, making complex simulations accessible and easy to interpret.

Turn your vision into reality – start a project with us.

Alexander Schaller
Teamleader Simulation Engineering
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