Digital Twin Implementation in Small and Medium Size Enterprises: A Case Study

Sepideh Abolghasem (), Silvia Carpitella () and George Thomas Mohan
Additional contact information
Sepideh Abolghasem: California State University
Silvia Carpitella: California State University
George Thomas Mohan: California State University

A chapter in Analytics Modeling in Reliability and Machine Learning and Its Applications, 2025, pp 321-341 from Springer

Abstract: Abstract In this article, we delve into the integration of MTConnect-a standardized communication protocol for the exchange of manufacturing equipment data-as a unidirectional level digital twin technology in small and medium-sized enterprises (SMEs), aiming for digital transformation in the context of Industry 5.0. We examine how MTConnect serves as a linchpin for data standardization and data acquisition, providing a cost-effective and scalable solution that enables SMEs to leverage advanced analytics for predictive maintenance and operational control. The article presents a case study of IMOCOM Company’s adoption of MTConnect to enhance operational efficiency and reduce machine downtime, highlighting the development of a Decision Support System (DSS) using Microsoft Excel for data visualization and process monitoring. By focusing on the practical implementation and the ensuing benefits, the study emphasizes MTConnect’s transformative potential in smart manufacturing and the future avenues for its evolution to further empower SMEs in the digital age.

Keywords: Digital twin; Digital transformation; SMEs; Industry 5.0; MTConnect (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:ssrchp:978-3-031-72636-1_16

Ordering information: This item can be ordered from
http://www.springer.com/9783031726361

DOI: 10.1007/978-3-031-72636-1_16

Access Statistics for this chapter

More chapters in Springer Series in Reliability Engineering from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().