References
- American Society of Mechanical Engineers. 2009. “Dimensioning and Tolerancing.” (ASME Y14.5-2009).
- American Society of Mechanical Engineers. 2012. “Digital Product Definition Data Practices.” (ASME Y14.41-2012).
- American Society of Mechanical Engineers. 2017. “Product Definition for Additive Manufacturing [Draft Standard for Trial Use].” (ASME Y14.46-2017).
- American Society of Mechanical Engineers. 2019. “Digital Product Definition Data Practices.” New York.
- Carlisle, Mark. 2016. “Model-Based Enterprise Summit 2016.” Accessed April 21, 2017. https://www.nist.gov/news-events/events/2016/04/model-based-enterprise-summit-2016.
- Chien, Chen-Fu, Wen-Chih Wang, and Jen-Chieh Cheng. 2007. “Data Mining for Yield Enhancement in Semiconductor Manufacturing and An Empirical Study.” Expert Systems with Applications 33 (1): 192–198. doi: https://doi.org/10.1016/j.eswa.2006.04.014
- Childerhouse, P., and D. R. Towill. 2011. “Arcs of Supply Chain Integration.” International Journal of Production Research 49 (24): 7441–7468. doi: https://doi.org/10.1080/00207543.2010.524259
- Digital Metrology Standards Consortium. 2018. “QIF Standard Version 3.0 (ANSI/DMSC QIF 3.0).” Burleson, TX. https://qifstandards.org/qif-download.
- Fischer, Kevin, Phil Rosche, Asa Trainer, Allison Barnard Feeney, and Thomas Hedberg Jr. 2015. “Investigating the Impact of Standards-Based Interoperability for Design to Manufacturing and Quality in the Supply Chain.” Report NISTGCR 15-1009. National Institute of Standards and Technology.
- Hardwick, Martin, and Will Sobel. 2017. “Enabling Automated CNC Measurement on the Digital Thread.” In Model-Based Enterprise Summit 2017, National Institute of Standards and Technology. https://www.nist.gov/file/361731.
- He, Shu-guang, Zhen He, G. Alan Wang, and Li Li. 2009. “Quality Improvement using Data Mining in Manufacturing Processes.” In Data Mining and Knowledge Discovery in Real Life Applications, edited by Julio Ponce and Adem Karahoca, 357–372. Vienna, Austria: InTech. doi: https://doi.org/10.5772/6459
- Hedberg Jr, Thomas, Manas Bajaj, and Jaime A. Camelio. 2020. “Using Graphs to Link Data Across the Product Lifecycle for Enabling Smart Manufacturing Digital Threads.” Journal of Computing and Information Science in Engineering 20 (1): 1–29. doi: https://doi.org/10.1115/1.4044921
- Hedberg Jr, Thomas, Allison Barnard Feeney, Moneer Helu, and Jaime A. Camelio. 2017. “Towards a Lifecycle Information Framework and Technology in Manufacturing.” Journal of Computing and Information Science in Engineering 17 (2): 021010. doi: https://doi.org/10.1115/1.4034132
- Hedberg Jr, Thomas D., Nathan W. Hartman, Phil Rosche, and Kevin Fischer. 2017. “Identified Research Directions for Using Manufacturing Knowledge Earlier in the Product Life Cycle.” International Journal of Production Research 55 (3): 819–827. doi: https://doi.org/10.1080/00207543.2016.1213453
- Hedberg Jr, Thomas D., Joshua Lubell, Lyle Fischer, Larry Maggiano, and Allison Barnard Feeney. 2016. “Testing the Digital Thread in Support of Model-Based Manufacturing and Inspection.” Journal of Computing and Information Science in Engineering 16 (2): 1–10. doi: https://doi.org/10.1115/1.4032697
- Hedberg Jr, Thomas, Michael E. Sharp, Toby M. Maw, Mostafizur M. Rahman, Swati Jadhav, James J. Whicker, Allison Barnard Feeney, and Moneer Helu. 2018. “A Three Component Assembly with Design, Manufacturing, and Inspection Data From a Collaboration Between the National Institute of Standards and Technology and the Manufacturing Technology Centre.” NIST Journal of Research (NIST JRES)124: 1–2.
- Helu, Moneer, Alex Joseph, and Thomas Hedberg. 2018. “A Standards-Based Approach for Linking As-Planned to As-Fabricated Product Data.” CIRP Annals 67 (1): 487–490. doi: https://doi.org/10.1016/j.cirp.2018.04.039
- International Standards Organization. 2014. “Industrial Automation Systems and Integration – Product Data Representation and Exchange – Part 242: Application Protocol: Managed Model-Based 3D Engineering.” (ISO 10303-242).
- International Standards Organization. 2015. “Technical Product Documentation – Digital Product Definition Data Practices.” (ISO 16792).
- Joseph, Alex, Sainath Adapa, Nitin Madasu, and Subramanyam Ravishankar. 2017. “MtconnectR R Package.” Accessed April 21, 2017. https://cran.r-project.org/package=mtconnectR.
- Khabbazi, M. R., Md. Yusof Ismail, N. Ismail, S. A. Mousavi, and H. S. Mirsanei. 2011. “Lot-base Traceability Requirements and Functionality Evaluation for Small- to Medium-Sized Enterprises.” International Journal of Production Research 49 (3): 731–746. doi: https://doi.org/10.1080/00207540903530810
- Kraft, Edward M. 2016. “The Air Force Digital Thread/Digital Twin – Life Cycle Integration and Use of Computational and Experimental Knowledge.” In 54th AIAA Aerospace Sciences Meeting, 2016, January 4, 2016 – January 8, 2016, San Diego, CA: American Institute of Aeronautics and Astronautics Inc, AIAA.
- Liang, Yi-Hui. 2015. “Performance Measurement of Interorganizational Information Systems in the Supply Chain.” International Journal of Production Research 53 (18): 5484–5499. doi: https://doi.org/10.1080/00207543.2015.1026614
- Lipman, Robert. 2017. “Test Case PMI Annotation Browser.” Accessed April 25, 2017. https://pages.nist.gov/CAD-PMI-Testing/models.html.
- Lipman, Robert, Joshua Lubell, Thomas Hedberg Jr, Allison Barnard Feeney, and Simon Frechette. 2017. “MBE PMI Validation and Conformance Testing Project.” Accessed April 25, 2017. https://www.nist.gov/el/systems-integration-division-73400/mbe-pmi-validation-and-conformance-testing.
- Mason, R. J., M. Mostafizur Rahman, and T. M. M. Maw. 2017. “Analysis of The Manufacturing Signature Using Data Mining.” Precision Engineering 47: 292–302. doi: https://doi.org/10.1016/j.precisioneng.2016.09.003
- Maw, Toby M. M., James J. Whicker, and M. Mostafizur Rahman. 2017. “Prediction of Part Quality Using Regression Tree Learning.” Report. The Manufacturing Technology Centre.
- Mckay, K. N. 2003. “Historical Survey of Manufacturing Control Practices From a Production Research Perspective.” International Journal of Production Research 41 (3): 411–426. doi: https://doi.org/10.1080/0020754021000033869
- Morse, Edward, Saeed Heysiattalab, Allison Barnard-Feeney, and Thomas Hedberg Jr. 2016. “Interoperability: Linking Design and Tolerancing with Metrology.” Procedia CIRP 43: 13–16. doi: https://doi.org/10.1016/j.procir.2016.04.106
- MTConnect Institute. 2018. “MTConnect Standard Version 1.4.0 (ANSI/MTC1.4-2018).” McLean VA. https://www.mtconnect.org/s/ANSI_MTC1_4-2018.pdf.
- Sobel, Will. 2015. “MTConnect Architecture and Overview.” Accessed June 25, 2019. https://www.mtconnect.org/s/MTConnectTechnicalWorkshopAtNAMRC43-x6n1.pdf.
- Trainer, Asa, Allison Barnard Feeney, and Thomas Hedberg Jr. 2015. “Validation for Downstream Computer Aided Manufacturing and Coordinate Metrology Processes.” Report NISTGCR 16-003. National Institute of Standards and Technology.
- Trainer, Asa, Thomas Hedberg Jr, Allison Barnard Feeney, Kevin Fischer, and Phil Rosche. 2016. “Gaps Analysis of Integrating Product Design, Manufacturing, and Quality Data in the Supply Chain using Model-Based Definition.” In 2016 Manufacturing Science and Engineering Conference. American Society of Mechanical Engineers.
- Venkatesh, Sid, Sidney Ly, Martin Manning, John Michaloski, and Fred Proctor. 2016. “Automating Asset Knowledge With MTConnect.” In International Manufacturing Science and Engineering Conference, Vol. 3: Joint MSEC-NAMRC Symposia, V003T08A016. ASME.
- Wang, X., S. K. Ong, and A. Y. C. Nee. 2018. “A Comprehensive Survey of Ubiquitous Manufacturing Research.” International Journal of Production Research 56 (1-2): 604–628. doi: https://doi.org/10.1080/00207543.2017.1413259
- Wardhani, R., and X. Xu. 2016. “Model-Based Manufacturing Based on STEP AP242.” In 12th IEEE/ASME International Conference on Mechatronic and Embedded Systems and Applications (MESA), 1–5. Auckland, New Zealand.
- Wu, Dazhong, J. Lane Thames, David W. Rosen, and Dirk Schaefer. 2013. “Enhancing the Product Realization Process with Cloud-Based Design and Manufacturing Systems.” Journal of Computing and Information Science in Engineering 13 (4): 041004. doi: https://doi.org/10.1115/1.4025257