Skip to main content
SpringerLink
Log in

Industrial Plant Layout Analyzing Based on SNA

  • Conference paper
  • First Online:
Book cover Intelligent Systems Design and Applications (ISDA 2016)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 557))

Abstract

Social network analysis (SNA) is a widely studied research topics, which has been increasingly being applied for solving different kind of problems, including industrial manufacturing ones. This paper focuses on the application of SNA on an industrial plant layout problem. The study aims at analyzing the importance of using SNA techniques to analyze important relations between entities in a manufacturing environment, such as jobs and resources in the context of industrial plant layout analysis. The study carried out enabled to obtain relevant results for the identification of relations among these entities for supporting to establish an appropriate plant layout for producing the jobs.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 259.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 329.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Schott, J.: Social Network Analysis. Sage, Newbury Park (2013). www.orgnet.com/sna.html

  2. Hollenbeck, J.R., Jameson, B.B.: Human capital, social capital, and social network analysis: implications for strategic human resource management. Acad. Manage. Perspect. 29(3), 370–385 (2015)

    Article  Google Scholar 

  3. Thongphubate, T., Piekkoontod, T.: Social network analysis on mangrove ecosystem management of Welu Basin, Thailand. Songklanakarin J. Sci. Technol. 38(3), 243–248 (2016)

    Google Scholar 

  4. Fischer, E.N.: Serving more than one master: a social network analysis of section 8 of the clayton act. J. Corporation Law 41(1), 313–341 (2015)

    Google Scholar 

  5. Borgatti, S.: Identifying sets of key players in a social network. Comput. Math. Organ. Theor. 12(1), 21–34 (2006)

    Article  MATH  Google Scholar 

  6. Borgatti, S., Halgin, D.: On network theory. Organ. Sci. 22(5), 1168–1181 (2011)

    Article  Google Scholar 

  7. Hawe, P., Webster, C., Shiell, A.: A glossary of terms for navigating the field of social network analysis. J. Epidemiol. Commun. Health 58(12), 971–975 (2004)

    Article  Google Scholar 

  8. Barabási, A.: Linked: The New Science of Networks. Perseus Books, Cambridge (2002)

    Google Scholar 

  9. Wellman, B., Berkowitz, S.: Social Structures: A Network Approach. Cambridge University Press, New York (1988)

    Google Scholar 

  10. Wasserman, S.: Social Network Analysis: Methods and Applications. Cambridge University Press, New York (1994)

    Book  Google Scholar 

  11. Freeman, L.: Centrality in social networks conceptual clarification. Soc. Netw. 1(3), 215–239 (1979)

    Article  MathSciNet  Google Scholar 

  12. Opsahl, T., Agneessens, F., Skvoretz, J.: Node centrality in weighted networks: generalizing degree and shortest paths. Soc. Netw. 32(3), 245–251 (2010)

    Article  Google Scholar 

  13. Hanneman, R., Riddle, M.: Introduction to social network methods. University of California, Riverside (2005). http://faculty.ucr.edu/~hanneman/nettext/

  14. Bohn, A., Feinerer, I., Hornik, K., Mair, P.: Content-based social network analysis of mailing lists. R J. 3(1), 11–18 (2011)

    Google Scholar 

  15. Lienert, J., Schnetzer, F., Ingold, K.: Stakeholder analysis combined with social network analysis provides fine-grained insights into water infrastructure planning processes. J. Environ. Manage. 125, 134–148 (2013)

    Article  Google Scholar 

  16. Cross, R., Borgatti, S.P., Parker, A.: Making invisible work visible: using social network analysis to support strategic collaboration. Calif. Manage. Rev. 44(2), 25–46 (2002). doi: 10.2307/41166121

  17. Martı́neza, A., Dimitriadisb, Y., Rubiac, B., Gómezb, E., Fuentea, P.: Combining qualitative evaluation and social network analysis for the study of classroom social interactions. Comput. Educ. 41(4), 353–368 (2003). Elsevier

    Google Scholar 

  18. Borgatti, S.P., Li, X.: On social network analysis in a supply chain context. J. Supply Chain Manage. 45(2), 5–22 (2009). Wiley Online Library. doi:10.1111/j.1745-493X.2009.03166.x

Download references

Acknowledgments

This work has been supported by COMPETE: POCI-01-0145-FEDER-007043 and FCT – The Foundation for Science and Technology within the Project Scope: UID/CEC/00319/2013.

Author information

Authors and Affiliations

  1. Department of Production and Systems, School of Engineering, University of Minho, Guimarães, Portugal

    M. L. R. Varela, G. D. Putnik & A. Araújo

  2. Division of Manufacturing, School of Mechanical Engineering, VIT University, Vellore, Tamil Nadu, India

    V. K. Manupati & K. Manoj

  3. Department of Computer Science, Polytechnic Institute of Porto, GECAD Research Group, Porto, Portugal

    A. M. Madureira

Authors
  1. M. L. R. Varela
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. V. K. Manupati
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. K. Manoj
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. G. D. Putnik
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. A. Araújo
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. A. M. Madureira
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to M. L. R. Varela .

Editor information

Editors and Affiliations

  1. Departamento de Engenharia Informática, Instituto Superior de Engenharia do Port, Porto, Portugal

    Ana Maria Madureira

  2. Scientific Network for Innovation and Research Excellence, Machine Intelligence Research Labs, Auburn, Washington, USA

    Ajith Abraham

  3. Polytechnic Institute of Porto, Felgueiras, Portugal

    Dorabela Gamboa

  4. Campus of Gualtar, University of Minho, Braga, Portugal

    Paulo Novais

Rights and permissions

Reprints and permissions

Copyright information

© 2017 Springer International Publishing AG

About this paper

Cite this paper

Varela, M.L.R., Manupati, V.K., Manoj, K., Putnik, G.D., Araújo, A., Madureira, A.M. (2017). Industrial Plant Layout Analyzing Based on SNA. In: Madureira, A., Abraham, A., Gamboa, D., Novais, P. (eds) Intelligent Systems Design and Applications. ISDA 2016. Advances in Intelligent Systems and Computing, vol 557. Springer, Cham. https://doi.org/10.1007/978-3-319-53480-0_72

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-53480-0_72

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-53479-4

  • Online ISBN: 978-3-319-53480-0

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics

Search

Navigation