Abstract
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.
Keywords
- Decision support systems
- Complex engineering systems
- Power planning
- Software architecture
- Agent based modeling
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Acknowledgment
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.
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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. https://doi.org/10.1007/978-3-319-11364-7_5
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DOI: https://doi.org/10.1007/978-3-319-11364-7_5
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