Skip to main content

A Web-Based Decision Support Platform for Multidimensional Modeling of Complex Engineering Systems

Part of the Lecture Notes in Business Information Processing book series (LNBIP,volume 184)


Complex decision making is an important aspect in planning large man-made systems. These systems tend to be of high complexity, which requires an automated, intelligent approach to realize all dimensions of the problem. Decision Support Systems (DSS) are one approach to automate this process by providing modeling and analytical capabilities that assist users in making decisions. In this paper, we present the architecture of a web-based DSS platform for multidimensional modeling (including functional, spatial, and temporal dimensions) of complex engineering systems. We describe the breakdown of the modeling process of such systems in a multidimensional hierarchical manner. We present a case study for power planning in Saudi Arabia.


  • Decision support systems
  • Complex engineering systems
  • Power planning
  • Software architecture
  • Agent based modeling

This is a preview of subscription content, access via your institution.

Buying options

USD   29.95
Price excludes VAT (USA)
  • DOI: 10.1007/978-3-319-11364-7_5
  • Chapter length: 12 pages
  • Instant PDF download
  • Readable on all devices
  • Own it forever
  • Exclusive offer for individuals only
  • Tax calculation will be finalised during checkout
USD   39.99
Price excludes VAT (USA)
  • ISBN: 978-3-319-11364-7
  • Instant PDF download
  • Readable on all devices
  • Own it forever
  • Exclusive offer for individuals only
  • Tax calculation will be finalised during checkout
Softcover Book
USD   49.99
Price excludes VAT (USA)
Fig. 1.
Fig. 2.
Fig. 3.
Fig. 4.
Fig. 5.
Fig. 6.
Fig. 7.


  1. Power, D., Sharda, R.: Decision support systems. In: Nof, S.Y. (ed.) Springer Handbook of Automation. Springer, Berlin (2009)

    Google Scholar 

  2. Velmurugan, M., Narayanaswamy, K.: Application of decision support system in E-commerce. Commun. IBIMA 5, 156–169 (2008)

    Google Scholar 

  3. Aschauer, D.A.: Why is infrastructure important? Conference Series, Federal Reserve Bank of Boston (1990)

    Google Scholar 

  4. OpenClinical: Clinical Decision Support Systems (2011).

  5. Hoffman, G.M., Goldstein, M.K.: Implementing clinical practice guidelines while taking account of changing evidence: ATHENA DSS, an easily modifiable decision-support system for managing hypertension in primary care. In: The AMIA Annual Symposium, pp. 300–304 (2000)

    Google Scholar 

  6. Engel, B.A., Choi, J.Y., Harbor, J., Pandey, S.: Web-based DSS for hydrologic impact evaluation of small watershed land use changes. Comput. Electron. Agric. 39(3), 241–249 (2003)

    CrossRef  Google Scholar 

  7. Arampatzis, G., Kiranoudis, C.T., Scaloubacas, P., Assimacopoulos, D.: A GIS-based decision support system for planning urban transportation policies. Eur. J. Oper. Res. 152(2), 465–475 (2004)

    CrossRef  MATH  Google Scholar 

  8. Tan, X., Shan, B., Hu, Z., Wu, S.: Study on demand side management decision supporting system. In: IEEE 3rd International Conference on Software Engineering and Service Science, pp. 111–114 (2012)

    Google Scholar 

  9. Zeng, Y., Cai, Y., Jia, P., Jee, H.: Development of a web-based decision support system for supporting integrated water resources management in Daegu city, South Korea. Expert Syst. Appl. 39(11), 10091–10102 (2012)

    CrossRef  Google Scholar 

  10. Power, D.: A brief history of decision support systems. DSSResources.COM, version 4.0 (2007).

  11. Rinaldi, S.M., Peerenboom, J.P., Kelly, T.K.: Identifying, understanding, and analyzing critical infrastructure interdependencies. IEEE Control Syst. 21(6), 11–25 (2001)

    CrossRef  Google Scholar 

  12. Koller, D., Friedman, N.: Probabilistic Graphical Models - Principles and Techniques. MIT Press, Cambridge (2009)

    Google Scholar 

  13. Alabdulkareem, A., Alfaris, A., Sakhrani, V., Alsaati, A., Weck, O.: The multidimensional hierarchically integrated framework for modeling complex engineering systems. In: Aiguier, M., Boulanger, F., Krob, D., Marcha, C. (eds.) Complex Systems Design & Management, pp. 301–313. Springer, Heidelberg (2014)

    CrossRef  Google Scholar 

  14. Borshchev, A., Filippov, A.: From system dynamics and discrete event to practical agent based modeling: reasons, techniques, tools. In: The 22nd International Conference of the System Dynamics Society (2004)

    Google Scholar 

  15. Nouh, M., Hadhrawi, M., Sanchez, A., Alfaris, A.: Towards cloud-based decision support platform for group decision making. In: 2013 IEEE International Conference on Systems, Man, and Cybernetics (SMC), pp. 50–55 (2013)

    Google Scholar 

  16. Gowharji, W., Habib, A., Collins, R., Alwajeeh, R., AlAbdulkareem, A., Alfaris, A., Connors, S.: A multi-attribute decision support framework for conventional generation capacity expansion. In: The 8th Annual IEEE International Systems Conference, Ottawa, Canada (2014)

    Google Scholar 

  17. Stanford University: Chap. 9: Estimating capital recovery costs (2012).

Download references


The authors would like to thank King Abdulaziz City for Science and Technology (KACST) for funding this work. In addition, the authors thank the Center for Complex Engineering Systems (CCES) at KACST and MIT for their support.

Author information

Authors and Affiliations


Corresponding author

Correspondence to Mariam Nouh .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and Permissions

Copyright information

© 2014 Springer International Publishing Switzerland

About this paper

Cite this paper

Nouh, M., Alabdulkareem, A., Gowharji, W., Alfaris, A., Sanchez, A. (2014). A Web-Based Decision Support Platform for Multidimensional Modeling of Complex Engineering Systems. In: , et al. Decision Support Systems III - Impact of Decision Support Systems for Global Environments. EWG-DSS EWG-DSS 2013 2013. Lecture Notes in Business Information Processing, vol 184. Springer, Cham.

Download citation

  • DOI:

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-11363-0

  • Online ISBN: 978-3-319-11364-7

  • eBook Packages: Computer ScienceComputer Science (R0)