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 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.

Authors

Institutions

Publication Details

Published
2024-12-15
DOI
https://doi.org/10.1109/wsc63780.2024.10838977
Citations
3
Primary Topic
Digital Transformation in Industry
Type
article
Field-Weighted Citation Impact
1.05
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

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

Sanja Lazarova‐Molnar, Cathal Heavey, Amir Ghasemi
3 citations
Digital Transformation in Industry
1.05
article

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

Sanja Lazarova‐Molnar, Cathal Heavey, Amir Ghasemi
article en
3 citations

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.

Karlsruhe Institute of Technology (DE), University of Limerick (IE)
Industry, innovation and infrastructure
Openalex Percentile: Top 19%
Digital Transformation in Industry
1.05
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.