From Organizational Fragmentation to Enterprise Context: A Data-Driven Framework for Demand and Portfolio Management in Manufacturing

Organizations are currently struggling with fragmentation across people, processes, and data. This results in limited transparency and not so effective and optimal decision-making. This thesis investigates how enterprise context can be established to support data-driven Demand and Portfolio Management through an innovative framework. The research focuses on the definition of context-enabling elements within manufacturing and the development of a structured decision framework to support demand evaluation and prioritization of initiatives, portfolios, programs and projects. It is then connected to a manufacturing proof of concept to demonstrate the practical feasibility of the proposed approach and its potential to support more transparent and evidence-based decisions.