This forthcoming e-book provides a practical framework for understanding why many industrial digitalization and optimization initiatives struggle after approval. The root cause is rarely insufficient technology, but misunderstood system behavior, structural constraints, and scaling limits embedded in the models themselves.

Written for engineers, operators, and decision-makers involved in early-stage project definition, the book offers practical guidance on assessing feasibility, recognizing modeling limits, and aligning expectations before digitalization efforts become costly and difficult to reverse.

Rather than promoting tools or architectures, the e-book focuses on digital modeling as a decision-support activity — clarifying when optimization is realistic, when resilience and operating envelope management are the appropriate objectives, and when prerequisite conditions must be addressed first.

The e-book complements aprocesr’s early-stage advisory work by providing conceptual grounding for decisions made before committing to high-risk digital modeling initiatives.