Conclusions

Although the basic workflows and traditional deliverables may be similar, a data-centric, holistic, multidisciplinary approach represents a transformative shift in how process plants are designed and managed. By establishing a single source of truth, this methodology allows you to enter data only once and then access it across various domain views, enhancing collaboration and consistency. In a data-centric approach, all stakeholders, discipline engineers, and designers work from the same repository, which ensures that everyone is aligned with the most current and accurate information.

This approach contrasts sharply with the traditional document and deliverable-focused approach where independent domain-specific tools operate in silos with defined integrations between them. In this scenario, data is often duplicated and transferred across tools, leading to potential inconsistencies and errors. Each tool typically emphasizes its own deliverables, which can create fragmentation and complicate collaboration.

The holistic approach streamlines workflows, reduces redundancy, and fosters innovation by allowing rapid adaptations to new domains and concepts that results in creating a more agile and efficient design process.