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Cyber Physical Systems – Situation Analysis - Energetics Meetings ...

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<strong>Cyber</strong> <strong>Physical</strong> <strong>Systems</strong> – <strong>Situation</strong> <strong>Analysis</strong>DRAFT – March 9, 2012with a standard protocol. Each individual automation module needs its own human-machine interfaces(HMI), but when they form a connected system, standard techniques are needed to build and operate aunified HMI that controls the entire system. 68Data collection is an important aspect of achieving demand-dynamic smart manufacturing, yet there arechallenges in both gathering and interpreting data. One challenge with data collection in manufacturing isdeveloping models to help evaluate the data, thus leading to intelligent behavior and innovation. Thesemodels must be able to process large amounts of data in real-time. Not all data that is collected willprovide useful knowledge about processes or machinery and must be checked for consistency, reliability,accuracy, and applicability. 69 Also, data needs to be managed as an operating asset and be easy to sharewithin a company as well as between different companies in a more automated manner. 70 There is a lackof standard methods to transfer data and models within a supply chain. Data sharing between companiesleads to many issues, including intellectual property rights, confidentiality, and security. 71REFERENCES• Brooks, Rodney. ―Extremely Agile, Adaptive, Responsive and Robust Manufacturing.‖ Presentation,January 2011. http://www.nist.gov/el/upload/Rodney-Brooks-Keynote.pdf.• Davis, Jim et al. ―Smart Process Manufacturing: An Operations and Technology Roadmap.‖ Arlington,VA: National Science Foundation, November 2009. http://oit.ucla.edu/nsf-evo-2008/documents/SmartProcessManufaturingAnOperationsandTechnologyRoadmapFullReport.pdf• Davis, Jim and the Smart Manufacturing Leadership Coalition. ―A Smart Manufacturing Public-PrivatePartnership Program.‖ Los Angeles: University of California – Los Angeles, January 2011.http://www.nist.gov/el/upload/SMLCtwopageprogramstatement1-0.pdf• Deloitte. 2010 Global Manufacturing Competitiveness Index. Washington, DC: Council onCompetitiveness, June 2010. http://www.deloitte.com/assets/Dcom-Global/Local%20Assets/Documents/Manufacturing/dtt_2010%20Global%20Manufacturing%20Competitiveness%20Index_06_28_10.pdf• DesMarais, Christina. ―3D Printing Draws Closer to Mainstream with Cubify.‖ PCWorld, January 8,2012.http://www.pcworld.com/article/247481/3d_printing_draws_closer_to_mainstream_with_cubify.html• ―The Printed World.‖ The Economist, February 10, 2011. http://www.economist.com/node/18114221• Frechette, Simon. ―<strong>Systems</strong> Integration for Manufacturing and Construction Applications.‖Gaithersburg, MD: National Institute of Standards and Technology, September 2011.http://www.nist.gov/el/msid/infotest/upload/SIMCAprogram2012.pdf68 Ibid.69 Engineering Laboratory, ―National Workshop on Challenges to Innovation in Advanced Manufacturing.,‖ National Institute ofStandards and Technology, accessed January 2010, http://www.nist.gov/el/advmanuwkshp.cfm.70 Jim Davis et al.., Smart Process Manufacturing: An Operations and Technology Roadmap (Arlington, VA: National ScienceFoundation, November 2009), http://oit.ucla.edu/nsf-evo-2008/documents/SmartProcessManufaturingAnOperationsandTechnologyRoadmapFullReport.pdf.71 Engineering Laboratory, ―National Workshop on Challenges to Innovation in Advanced Manufacturing,‖ National Institute ofStandards and Technology, accessed January 2010, http://www.nist.gov/el/advmanuwkshp.cfm.13

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