Smart Virtual Product Development (SVPD) to Enhance Product Manufacturing in Industry 4.0 - Publication - Bridge of Knowledge

Search

Smart Virtual Product Development (SVPD) to Enhance Product Manufacturing in Industry 4.0

Abstract

This paper presents a system capable of enhancing product development process for industrial manufactured products. This system is known as Smart Virtual Product Development (SVPD), and it helps in decision making by using explicit knowledge of formal decision events. It stores and reuses the past decisional events or sets of experiences related to different activities involved in industrial product development process i.e. product design, manufacturing, and product inspection. This system can be potentially used in large enterprises manufacturing a range of similar products in mass production, or a group of Small and medium enterprises (SMEs). This research shows that how product manufacturing can be enhanced by using SVPD in Industry 4.0, where cyber-physical systems have to play the key role. The analysis of basic concepts and implementation method proves that this is an expert system facilitating product manufacturing which can play a vital role towards Industry 4.0.

Citations

  • 1 4

    CrossRef

  • 0

    Web of Science

  • 1 4

    Scopus

Authors (3)

Cite as

Full text

download paper
downloaded 54 times
Publication version
Accepted or Published Version
License
Creative Commons: CC-BY-NC-ND open in new tab

Keywords

Details

Category:
Articles
Type:
artykuły w czasopismach
Published in:
Procedia Computer Science no. 159, pages 2232 - 2239,
ISSN: 1877-0509
Language:
English
Publication year:
2019
Bibliographic description:
Ahmed M., Sanin C., Szczerbicki E.: Smart Virtual Product Development (SVPD) to Enhance Product Manufacturing in Industry 4.0// Procedia Computer Science -Vol. 159, (2019), s.2232-2239
DOI:
Digital Object Identifier (open in new tab) 10.1016/j.procs.2019.09.398
Bibliography: test
  1. Verhagen, W.J., Bermell-Garcia, P., van Dijk, R.E., Curran, R.: A critical review of Knowledge-Based Engineering: An identification of research challenges. Advanced Engineering Informatics 26, 5-15 (2012) open in new tab
  2. Clark,K.B.,Fujimoto, T.: Product Development Performance; Strategy, Organization, and Management in the World Auto Industry. Harvard Business School, Boston (1991)
  3. Nonaka, I., Takeuchi, H.: The knowledge-creating company: How Japanese companies create the dynamics of innovation. Oxford university Press, Oxford (1995)
  4. Hedberg Jr, T.D., Hartman, N.W., Rosche, P., Fischer, K.: Identified research directions for using manufacturing knowledge earlier in the product life cycle. International journal of production research 55, 819-827 (2017) open in new tab
  5. Rodgers, P.A., Clarkson, P.J.: Knowledge usage in new product development (NPD). In: IDATER 1998 Conference. Loughborough University, Loughborough (1998)
  6. Forbes, H., Schaefer, D.: Social Product Development: The Democratization of Design, Manufacture and Innovation. Procedia CIRP 60, 404- 409 (2017) open in new tab
  7. Nunes, M.L., Pereira, A., Alves, A.: Smart products development approaches for Industry 4.0. Procedia Manufacturing 13, 1215-1222 (2017) open in new tab
  8. Santos, K., Loures, E., Piechnicki, F., Canciglieri, O.: Opportunities Assessment of Product Development Process in Industry 4.0. Procedia Manufacturing 11, 1358-1365 (2017) open in new tab
  9. Feng, S.C., Bernstein, W.Z., Hedberg, T., Feeney, A.B.: Toward Knowledge Management for Smart Manufacturing. Journal of computing and information science in engineering 17, 031016 (2017) open in new tab
  10. Sanin, C., Szczerbicki, E.: Towards the construction of decisional DNA: A set of experience knowledge structure java class within an ontology system. Cybernetics and Systems: An International Journal 38, 859-878 (2007) open in new tab
  11. Johansen, K.: Collaborative product introduction within extended enterprises. Institutionen för konstruktions-och produktionsteknik (2005)
  12. Cagan, J., Vogel, C.M.: Creating breakthrough products: Innovation from product planning to program approval. Ft Press (2002)
  13. Wasim, A., Shehab, E., Abdalla, H., Al-Ashaab, A., Sulowski, R., Alam, R.: An innovative cost modelling system to support lean product and process development. The International Journal of Advanced Manufacturing Technology 65, 165-181 (2013) open in new tab
  14. Khan, M.S., Al-Ashaab, A., Shehab, E., Haque, B., Ewers, P., Sorli, M., Sopelana, A.: Towards lean product and process development. International Journal of Computer Integrated Manufacturing 26, 1105-1116 (2013) open in new tab
  15. Sanin, C., Szczerbicki, E.: Experience-based knowledge representation: SOEKS. Cybernetics and Systems: an international journal 40, 99-122 (2009) open in new tab
  16. Shafiq, S.I., Sanín, C., Szczerbicki, E.: Set of experience knowledge structure (SOEKS) and decisional DNA (DDNA): past, present and future. Cybernetics and Systems 45, 200-215 (2014) open in new tab
  17. Wolf, W.H.: Cyber-physical systems. IEEE Computer 42, 88-89 (2009) open in new tab
  18. Kusiak, A.: Smart manufacturing. International Journal of Production Research 56, 508-517 (2018) open in new tab
  19. Ndip-Agbor, E., Cao, J., Ehmann, K.: Towards smart manufacturing process selection in Cyber-Physical Systems. Manufacturing Letters 17, 1-5 (2018) open in new tab
  20. Thiede, S., Juraschek, M., Herrmann, C.: Implementing cyber-physical production systems in learning factories. Procedia CIRP 54, 7-12 (2016) open in new tab
  21. Bilal Ahmed, M., Imran Shafiq, S., Sanin, C., Szczerbicki, E.: Towards Experience-Based Smart Product Design for Industry 4.0. Cybernetics and Systems 50, 165-175 (2019) open in new tab
  22. Shafiq, S.I., Sanin, C., Toro, C., Szczerbicki, E.: Virtual engineering process (VEP): a knowledge representation approach for building bio- inspired distributed manufacturing DNA. International Journal of Production Research 54, 7129-7142 (2016) open in new tab
  23. Shafiq, S.I., Sanin, C., Toro, C., Szczerbicki, E.: Virtual engineering object (VEO): Toward experience-based design and manufacturing for industry 4.0. Cybernetics and Systems 46, 35-50 (2015) open in new tab
Verified by:
Gdańsk University of Technology

seen 114 times

Recommended for you

Meta Tags