A framework for streamlining digital supply chain integration through software interoperability analysis

This paper presents a framework for enhancing digital supply chain integration through software interoperability analysis. It addresses the challenges of data sharing, particularly Product Manufacturing Information, between suppliers. A systematic approach is used for creating a vocabulary mapping software that links interoperability elements with Product Manufacturing Information (PMI) features, cross-referenced with ISO and ASME Standards. This enables an efficient assessment of the tool-based capabilities of each supplier, facilitating supply chain integration, and pre-emptively dealing with interoperability issues before they escalate. The framework is presented as a data model using the Connected Model-Based Enterprise Environment (C-MBEE) testbed as a use case. It focuses on the exchange of PMI features between large manufacturing companies and their suppliers. The data model, along with the vocabulary, assists in identifying existing vulnerabilities in the supply chain, and enhancing cybersecurity. Future work revolves around updating the vocabulary to align with the changing manufacturing software landscape.

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Publication Details

Journal
Measurement Sensors
Published
2024-12-24
DOI
https://doi.org/10.1016/j.measen.2024.101479
Citations
1
Primary Topic
Digital Transformation in Industry
Type
article
Field-Weighted Citation Impact
0.35
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article

A framework for streamlining digital supply chain integration through software interoperability analysis

Paul Duncan, João Gregório, Russell Miller
1 citations
Measurement Sensors
Digital Transformation in Industry
0.35
article

A framework for streamlining digital supply chain integration through software interoperability analysis

Paul Duncan, João Gregório, Russell Miller
article en
1 citations

Abstract

This paper presents a framework for enhancing digital supply chain integration through software interoperability analysis. It addresses the challenges of data sharing, particularly Product Manufacturing Information, between suppliers. A systematic approach is used for creating a vocabulary mapping software that links interoperability elements with Product Manufacturing Information (PMI) features, cross-referenced with ISO and ASME Standards. This enables an efficient assessment of the tool-based capabilities of each supplier, facilitating supply chain integration, and pre-emptively dealing with interoperability issues before they escalate. The framework is presented as a data model using the Connected Model-Based Enterprise Environment (C-MBEE) testbed as a use case. It focuses on the exchange of PMI features between large manufacturing companies and their suppliers. The data model, along with the vocabulary, assists in identifying existing vulnerabilities in the supply chain, and enhancing cybersecurity. Future work revolves around updating the vocabulary to align with the changing manufacturing software landscape.

Measurement SensorsVol. 38
National Nuclear Laboratory (GB)
Industry, innovation and infrastructure
Openalex Percentile: Top 32%
Digital Transformation in Industry
0.35
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A framework for streamlining digital supply chain integration through software interoperability analysis — Paul Duncan, João Gregório, et al. · Measurement Sensors (2024) | TGRS Research Map | TGRS