Supply Chain Digital Twin Framework for Hybrid Manufacturing Strategy Selection: A Case Study from the Semiconductor Industry

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Abstract

Within the Manufacturing Supply Chain planning domain, the integration of Digital Twins as a decisionmaking 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.
OriginalsprogEngelsk
Titel2024 Winter Simulation Conference (WSC)
Vol/bind00
ForlagIEEE
Publikationsdatodec. 2024
Sider2951-2962
ISBN (Trykt)979-8-3315-3420-2
ISBN (Elektronisk)9798331534202
DOI
StatusUdgivet - dec. 2024
Begivenhed2024 Winter Simulation Conference (WSC) - Orlando, USA
Varighed: 15. dec. 202418. dec. 2024

Konference

Konference2024 Winter Simulation Conference (WSC)
Land/OmrådeUSA
ByOrlando
Periode15/12/202418/12/2024

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