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Review of Social Manufacturing Technology on Product Life Cycle Management(PLM) Base

제품수명주기관리(PLM) 기반의 소셜매뉴팩처링 기술 고찰

  • Park, Jong-Man (Korea Institute of Science and Technology Information, ReSEAT Program) ;
  • Kim, Bong-Sun (Industrial Engineering, Inha University)
  • Received : 2012.10.30
  • Accepted : 2013.01.15
  • Published : 2013.06.15

Abstract

Social manufacturing architecture is based on information delivery through social media and SNS, PLM and social platform, crowd source and knowledge base on whole phase of product life cycle. Although advanced social manufacturing issues are rising globally, its technology emerging into domestic industry is likely to be slow. We focused to review technological changes and R&D trend, patent issues, and then suggest assignments and advices to be practiced for social manufacturing modeling.

Keywords

References

  1. Alemanni, M., Cannoletta, D., Gambini, P., Maccio, M., and Pinna, D. (2011), Product Lifecyc le Management (PLM) to support Product Develo pment process, ICST978-1-936968-00-8, DOI10 4108/ic stsimutools2011245508, 470-479.
  2. Becker, J., Beverungen, D. F., and Knackstedt, R. (2010), The challenge of conceptual modeling for product-service systems: status-quo and perspectives for reference models and modeling languages, Information Systems and e-business Management, 8(1), 33-66. https://doi.org/10.1007/s10257-008-0108-y
  3. Cho, H. (2010), Understanding and Engineering Approach for Smart PLM, CAD and Graphic TV presentation material.
  4. Chu, M. et al. (2012), The Social Economy : Unlocking Value and Productivity through Social Technologies, McKinsey Global Institute, 4.
  5. Do, N. (2012a), Product Data model for Supporting integrated Product, Process and Service, Journal of the Korean Institute of Industrial Engineers, 38(2), 98-106. https://doi.org/10.7232/JKIIE.2012.38.2.098
  6. Do, N. (2012b), PLM corresponding software, hard ware and integrated development crisis, KEDB PLM, http://fvortal.cimerr.net/plm/207?category =38.
  7. Doan, A., Ramakrishnan, R., and Halevy, A. Y. (2011), Crowd sourcing systems on the World-Wide Web, Communications of the ACM, 54(4), 86-96.
  8. Garetti, M., Rosa, P., and Terzi, S. (2012), Life Cycle Simulation for the design of Product-Service Systems, Computers in Industry, 63, 361-369. https://doi.org/10.1016/j.compind.2012.02.007
  9. Howe, J. (2008), Crowdsourcing : Why the Power of the Crowd is Driving the Future of Business, ISBN : 978-0-307-39621-1(www.crowdsourcing. com).
  10. Kim, K. Y. and Suh, H W(2004), An Approach to semantic Mapping Using product ontology for CPC Environment, Journal of the Korean Society of CAD/CAM, 19(3), 192-204.
  11. Kim, K.-J., Hong, Y. S., Park, K., Lim, C.-H., Heo, J.-Y., Kang, C., Baek, I., and Park, G.-W. (2011), Product-Service System : Current Status and Research Issues, Journal of the Korean Institute of Industrial Engineers, 37(3), 234-247. https://doi.org/10.7232/JKIIE.2011.37.3.234
  12. Lee, G.-B. (2009), Suggestion For Implementation of The Digital Factory-based Extended Manufacturing Execution System, Journal of the Korean Society of Precision Engineering, 26(1), 17-23.
  13. Lee, J. H. and Suh, H. W. (2006), Ontology-Based knowledge framework For Product Life cycle Management, Journal of the Korean Society of Precision Engineering, 23(3), 22-31.
  14. Li, B. M., Xie, S. Q., and Xu, X. (2011), Recent development of knowledge-based systems, methods and tools for One-of-a-Kind Production, Knowledge-Based Systems, 24, 1108-1119. https://doi.org/10.1016/j.knosys.2011.05.005
  15. Maher, M. L. (2012), The Role of AI in Wisdom of the Crowds for the Social Construction of Knowledge on Sustainability, AAAI Technical Report SS-12-06 Wisdom of the Crowd, 44-49.
  16. Mittermeyer, S. A., Njuguna, J. A., and Alcock, J. R. (2011), Product -service systems in health care : case study of a drug device combination, International Journal of Advanced Manufacturing, 52, 1209-1221. https://doi.org/10.1007/s00170-010-2766-4
  17. MKE, KIAT-1 (2012), Main Industry-Production System, 2011 Industrial Technology Road map, 79-438.
  18. MKE, KIAT-2 (2012), advanced Industry-Knowledge based Service, 2011 Industrial Technology Road map, 19-211.
  19. NIA (2012), Prospects for Future Trends and IT Industry's Strategies at Smart Age.
  20. NISKAYUNA (2012), GE, MIT Building Crowdsourcing Software Platform to Revolutionize Product Design and Manufacturing, GE News, NY.
  21. Nylund, H. and Andersson, P. H. (2010), Simulation of service-oriented and distributed manufacturing systems, Robotics and Computer-Integrated Manu facturing, 26, 622-628. https://doi.org/10.1016/j.rcim.2010.07.009
  22. Panel Discussion (2012), PLM research and develop ment for future industrial and service, 2012 CAD/CAM Conference, Society of CAD/CAM Engineers.
  23. Park, A., Jin, D., and Lee, K. (2011), Exploratory Case Study for Key Successful Factors of Product Service System, Korean Intelligence Information System society, 17(4), 255-277.
  24. Valilain, O. F. and Houshmand, M. (2013), A collaborative and integrated platform to support distributed manufacturing system using a service-oriented approach based on cloud computing paradigm, Robotics and Computer-Integrated Manufacturing, 110-127.
  25. Williams, A. (2006), Product service-systems in the automotive industry : a case for micro factory retailing, Journal of Cleaner Production, 14, 172-184. https://doi.org/10.1016/j.jclepro.2004.09.003
  26. Xu, X. (2012), From cloud computing to cloud manufacturing, Robotics and Computer-Integrated Manufacturing, 28, 75-86. https://doi.org/10.1016/j.rcim.2011.07.002
  27. Zhu, H., Gao, J., Li, D., and Tang, D. (2012), A Web-based Product Service System for aerospace maintenance, repair and overhaul services, Computers in Industry, 63, 338-348.