Enriching the functionally graded materials (FGM) ontology for digital manufacturing-Reference-Cited by-同舟云学术

Enriching the functionally graded materials (FGM) ontology for digital manufacturing

Published:2020-07-10 Issue:18 Volume:59 Page:5540-5557
ISSN:0020-7543
Container-title:International Journal of Production Research
language:en
Short-container-title:International Journal of Production Research

Author:

Mohd Ali Munira¹,Yang Ruoyu¹,Zhang Binbin¹,Furini Francesco²,Rai Rahul¹^ORCID,Otte J. Neil³,Smith Barry⁴

Affiliation:

1. Department of Mechanical and Aerospace Engineering, State University of New York, Buffalo, NY, USA

2. Politecnico di Milano, Piazza Leonardo da Vinco, Milan, Italy

3. Applied Physics Laboratory, Johns Hopkins University, Laurel, MD, USA

4. National Center for Ontology Research, State University of New York at Buffalo, Buffalo, NY, USA

Publisher

Informa UK Limited

Subject

Industrial and Manufacturing Engineering,Management Science and Operations Research,Strategy and Management

Link

https://www.tandfonline.com/doi/pdf/10.1080/00207543.2020.1787534

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4. Arena, Damiano, Farhad Ameri, and Dimitris Kiritsis. 2018. “Skill Modelling for Digital Factories.” In Advances in Production Management Systems. Smart Manufacturing for Industry 4.0. APMS 2018. IFIP Advances in Information and Communication Technology'', 318–326. Springer.

5. Arena, D., M. Oliva, I. Eguia, C. Del Valle, and D. Kiritsis. 2019. “Semantic Model-Driven PLM Data Interoperability: An Application for Aircraft Ground Functional Testing with Eco-Design Criteria.” In Advances in Production Management Systems. Smart Manufacturing for Industry 4.0. APMS 2018. Production Management for the Factory of the Future. IFIP International Conference on Advances in Production Management Systems, 299–306. Springer.

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