SUPPLY CHAIN DIGITAL TWIN FRAMEWORK FOR HYBRID MANUFACTURING STRATEGY SELECTION: A CASE STUDY FROM THE SEMICONDUCTOR INDUSTRY

Within the Manufacturing Supply Chain planning domain, the integration of Digital Twins as a decision-making tool presents a promising development path. This research introduces a novel Supply Chain Digital Twin (SCDT) framework for manufacturing supply chains, specifically tailored to address the manufacturing strategy selection problem at the strategic product level. To demonstrate our proposed SCDT framework, we employ the Business Process Model and Notation (BPMN) as a model-based systems engineering tool. The primary aim of this study is to detail the design and integration of SCDTs within manufacturing supply chain networks, facilitating decisions on manufacturing strategy selection. The practical applicability of our proposed SCDT framework is further demonstrated through a case study in the semiconductor industry, highlighting its utility and potential benefits.