Document Type
Article
Abstract
Emerging technologies such as Artificial Intelligence (AI) and Machine Learning (ML) depend on significant quantities of data to generate the actionable insights required to drive real-time decision making. Data scarcity and limited access to testbeds which produce data inhibit the development of emerging technologies and the technical expertise required to leverage them. To enhance testbed access and data availability, this paper proposes a novel strategy for realizing a scalable ecosystem for collaboration underpinned by a novel method for data acquisition, distribution, and utilization. Exemplified by a proof of concept, the proposed strategy aims to broadly accelerate research and improve education.
Digital Object Identifier (DOI)
Publication Info
Published in Manufacturing Letters, Volume 44, Issue Supplement, 2025.
Rights
© 2025 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
APA Citation
McCormick, M. R., & Wuest, T. (2025). Testbed as a service (TaaS): A scalable ecosystem for smart manufacturing and industry 4.0 collaboration. Manufacturing Letters, 44, 1357–1368. https://doi.org/10.1016/j.mfglet.2025.06.155