Skip to main content
SpringerLink
Log in

A New Information Infrastructure Approach for End-To-End Supply Chain Management

  • Conference paper
  • First Online:
16th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2021) (SOCO 2021)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1401))

  • 1052 Accesses

Abstract

The hypercompetitive aspects in the contemporary business environment, such as technological progress, changing customers’ demands, economic cycles, and globalization, have the important influence in business organisation and supply chain in multinational companies and large enterprises. Supply chain occupies the enterprises with different information systems. The information infrastructure (II) presents a set of entirely new challenges regarding design and use compared to traditional information systems. This paper mainly investigates the II in organising agility end-to-end supply chain management (SCM). The proposed new II approach is based on good features in data warehouse environment. The proposed approach is not a final solution in great challenges in SCM; nevertheless, its application can easily improve agility and business performance.

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 219.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 279.99
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. Chu, C.-H., Hayya, J.C.: Buffering decisions under MRP environment: a review. Omega 16(4), 325–331 (1988). https://doi.org/10.1016/0305-0483(88)90069-2

    Article  Google Scholar 

  2. Fabbe-Costes, N., Roussat, C., Taylor, M.: Sustainable supply chains: a framework for environmental scanning practices. Int. J. Oper. Prod. Manag. 34(5), 664–694 (2014). https://doi.org/10.1108/IJOPM-10-2012-0446

    Article  Google Scholar 

  3. Bangemann, M.: Europe and the Global Information Society – Recommendations to the European Council. Publications Office of the EU, Brussels, European Commission (1994)

    Google Scholar 

  4. Hughes, T.P.: Networks of Power. Electrification in Western Society 1880–1930. The Johns Hopkins University Press (1983)

    Google Scholar 

  5. Star, S.L., Ruhleder, K.: Steps toward an ecology of infrastructure: design and access for large Information spaces. Inf. Syst. Res. 7(1), 111–134 (1996). https://doi.org/10.1287/isre.7.1.111

    Article  Google Scholar 

  6. Kimball, R., Ross, M.: The Data Warehouse Toolkit: The Complete Guide to Dimensional Modeling. Wiley, USA (2002)

    Google Scholar 

  7. Ciborra, C.U.: From Control to Drift: The Dynamics of Corporate Information Infrastructures. Oxford University Press (2000)

    Google Scholar 

  8. DeSanctis, G., Fulk, J.: Shaping Organization Form Communication, Connection, and Community. SAGE Publications Inc, Newbury Park, CA, USA (1999)

    Google Scholar 

  9. Groth, L.: Future Organizational Design: The Scope for the IT-based Enterprise. Wiley, Wiley, New Jersey, USA (1999)

    Google Scholar 

  10. Imhoff, C., Galemmo, N., Geiger, J.G.: Mastering Data Warehouse Design: Relational and Dimensional Techniques. Wiley, New Jersey, USA (2003)

    Google Scholar 

  11. Torlone, R.: Interoperability in data warehouses, 2nd edn. In: Liu, L., Ozsu, M.T. (eds.) Encyclopaedia of Database Systems. Springer, Boston (2018). https://doi.org/10.1007/978-0-387-49616-0

  12. An Oracle White Paper: Best Practices for Real-Time Data Warehousing. Oracle (2014)

    Google Scholar 

  13. Simić, S., Milutinović, D., Sekulić, S., Simić, D., Simić, S.D., Đorđević, J.: A hybrid case-based reasoning approach to detecting the optimal solution in nurse scheduling problem. Logic J. IGPL 28(2), 226–238 (2020). https://doi.org/10.1093/jigpal/jzy047

    Article  MathSciNet  Google Scholar 

  14. Simić, D., Kurbalija, V., Budimac, Z.: An application of case-based reasoning in multidimensional database architecture. In: Kambayashi, Y., Mohania, M., Wöß, W. (eds.) DaWaK 2003. LNCS, vol. 2737, pp. 66–75. Springer, Heidelberg (2003). https://doi.org/10.1007/978-3-540-45228-7_8

    Chapter  Google Scholar 

  15. Simić, D., Budimac, Z., Kurbalija, V., Ivanović, M.: Case-based reasoning for financial prediction. In: Ali, M., Esposito, F. (eds.) IEA/AIE 2005. LNCS (LNAI), vol. 3533, pp. 839–841. Springer, Heidelberg (2005). https://doi.org/10.1007/11504894_114

    Chapter  Google Scholar 

  16. Simić, D., Simić, S.: An approach to efficient business intelligent system for financial prediction. Soft Comput. 11(12), 1185–1192 (2007). https://doi.org/10.1007/s00500-007-0156-0

    Article  MATH  Google Scholar 

  17. Simić, D., Svirčević, V., Corchado, E., Calvo-Rolle, J.L., Simić, S.D., Simić, S.: Modelling material flow using the Milk run and Kanban systems in the automotive industry. Expert Syst. 38(1), e12546 (2021). https://doi.org/10.1111/exsy.12546

  18. Simić, D., Svirčević, V., Ilin, V., Simić, S.D., Simić, S.: Particle swarm optimization and pure adaptive search in finish goods’ inventory management. Cybern. Syst. 50(1), 58–77 (2019). https://doi.org/10.1080/01969722.2018.1558014

    Article  Google Scholar 

  19. Simić, D., Ilin, V., Svirčević, V., Simić, S.: A hybrid clustering and ranking method for best positioned logistics distribution centre in Balkan Peninsula. Logic J. IGPL 25(6), 991–1005 (2017). https://doi.org/10.1093/jigpal/jzx047

    Article  MathSciNet  Google Scholar 

  20. Salaheldin, S., Francis, A.: A study on MRP practices in Egyptian manufacturing companies. Int. J. Oper. Prod. Manag. 18(6), 588–611 (1998) https://doi.org/10.1108/01443579810209557

  21. Straube, F.: E-Logistik: Ganzheitliches Logistikmanagement. Springer, Heidelberg (2004). https://doi.org/10.1007/978-3-642-18599-1

    Book  Google Scholar 

  22. Moniruzzaman, M., Kurnia, S., Parkes, A., Maynard, S.B.: Business intelligence and supply chain agility. In: Australasian Conference on Information Systems, Adelaide, South Australia (2015)

    Google Scholar 

  23. Sahay, B.S., Ranjan, J.: Real time business intelligence in supply chain analytics. Inf. Manag. Comput. Secur. 16(1), 28–48 (2008). https://doi.org/10.1108/09685220810862733

Download references

Acknowledgement

This research has been supported by the project ”Development and application of modern tools and research methods in the field of traffic and transport”.

Author information

Authors and Affiliations

  1. Faculty of Technical Sciences, University of Novi Sad, Trg Dositeja Obradovića 6, 21000, Novi Sad, Serbia

    Dragan Simić, Vladimir Ilin & Svetislav D. Simić

  2. Department of Industrial Engineering, University of A Coruña, Avda. 19 de febrero s/n, 15405, FerrolCoruña, Spain

    José Luis Calvo-Rolle

  3. University of Oviedo, Campus de Llamaquique, 33005, Oviedo, Spain

    José R. Villar

  4. Faculty of Medicine, University of Novi Sad, Hajduk Veljkova 1–9, 21000, Novi Sad, Serbia

    Svetlana Simić

Authors
  1. Dragan Simić
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. José Luis Calvo-Rolle
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. José R. Villar
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Vladimir Ilin
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Svetislav D. Simić
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. Svetlana Simić
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Dragan Simić .

Editor information

Editors and Affiliations

  1. Faculty of Engineering, University of Deusto, Bilbao, Spain

    Hugo Sanjurjo González

  2. Faculty of Engineering, University of Deusto, Bilbao, Spain

    Iker Pastor López

  3. Faculty of Engineering, University of Deusto, Bilbao, Spain

    Pablo García Bringas

  4. Department of Industrial Engineering, University of A Coruña, Ferrol, Spain

    Héctor Quintián

  5. BISITE Research Group, University of Salamanca, Salamanca, Spain

    Emilio Corchado

Rights and permissions

Reprints and permissions

Copyright information

© 2022 The Author(s), under exclusive license to Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Simić, D., Calvo-Rolle, J.L., Villar, J.R., Ilin, V., Simić, S.D., Simić, S. (2022). A New Information Infrastructure Approach for End-To-End Supply Chain Management. In: Sanjurjo González, H., Pastor López, I., García Bringas, P., Quintián, H., Corchado, E. (eds) 16th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2021). SOCO 2021. Advances in Intelligent Systems and Computing, vol 1401. Springer, Cham. https://doi.org/10.1007/978-3-030-87869-6_30

Download citation

Publish with us

Policies and ethics

Search

Navigation