ZETA|Success Stories|Holistic Simulation Throughout Facility Design
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Holistic Simulation Throughout Facility Design

ZETA delivers ‘First-Time-Right’ integrated engineering using simulation.

A realistic simulation environment is capable of modeling complex batch processes with all their dependencies: utilities, cleaning systems, buffer logistics, WFI generation and more.

INOSIM powers plasma processing facility. Comprehensive simulation approach for peak performance.

A leading pharmaceutical company embarked on an ambitious €400 million greenfield project to build a cutting-edge multiproduct facility. Designed to incorporate basic fractionation, purification and fill-and-finish operations, the facility was intended to set new standards in terms of flexibility and efficiency.

By implementing a holistic facility simulation with INOSIM Insight during the basic and detailed design phases, our engineers increased their effectiveness and provided the project with a tool for data-driven decision-making. The customer reported cost savings of over €40 million resulting from a late concept change, which had a transformative impact on commissioning, the WFI system, optimized buffer scheduling and many other simulation use cases.

The challenge

The plant’s complexity, with its intricate interdependencies, stringent regulatory requirements and detailed engineering needs, posed significant challenges. Initially, the client relied on a competitor’s simulation tool to validate their concept design and develop production scheduling strategies. However, it quickly became evident that the tool was not fit for purpose in terms of size, scope, or complexity. The simulation results lacked clarity and actionable insights, creating a significant impediment. That’s when INOSIM Insight entered the picture.

The solution

INOSIM Insight: a game-changer in process simulation

Under tight deadlines and high pressure, the INOSIM team developed an all-encompassing model of the facility. Unlike its predecessor, INOSIM offered a holistic and realistic simulation environment capable of modeling complex batch processes with all their dependencies – utilities, cleaning systems, buffer logistics, WFI generation, and more. Discrete event simulation with INOSIM enabled the seamless integration of all these interdependencies. As a result, simulation time was dramatically reduced from weeks to just hours when compared to the originally used Finite-Capacity-Scheduler.

Outcome & Impact

One of the key advantages of integrating simulation during the design phase is the ability to assess changes in a data-driven and fact-based manner. Rapid scenario testing using the INOSIM model enabled a significant change in the concept to be made at a late stage in the project. Thanks to a simplified production process flow that maintained sufficient flexibility at maximum capacity, the customer saved approximately EUR 40 million in commissioning costs. The INOSIM Insight model also provided the customer with further optimizations and benefits. The model entails everything needed for the future implementation of INOSIM Foresight.

Further benefits.

Enhanced buffer scheduling

Developing smart logic and scheduling strategies for buffer tanks before the initial engineering runs enabled a faster time to market.

Intuitive, user-friendly model

The model built with MS Excel sheet controls ensures ongoing optimization and seamless use throughout the facility’s lifecycle.

Optimized WFI system

Modeling of hot and cold loops, dynamic generation rates, and tank interdependencies led to a more sustainable and cost-effective design.
The image shows a person in protective clothing working with large metal equipment in a clean industrial setting. Behind them are two transparent screens showing charts and graphs, suggesting the use of advanced technology to monitor processes.

Customer Feedback

Project Engineering Team

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

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

Alexander Schaller
Teamleader Simulation Engineering
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