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Research Article | Open Access |

A Decision Support Platform based on Cross-Sorting Methods for the Selection of Modeling Methods

Author 1: Manal Tamir Author 2: Fatima Ouzayd Author 3: Raddouane Chiheb
International Journal of Advanced Computer Science and Applications (IJACSA) · Vol. 9, No. 10 · Published 2018

DOI: https://doi.org/10.14569/IJACSA.2018.091058

Abstract

The hospital supply chain performance is a concept that qualifies the good governance, the continuous improvement and the optimization of human and material resources of the hospital system. Thus, several performance analysis methods have been proposed for qualifying organizational flows and resources management. The main goal of the present study is to expose a literature review of the main graphical modeling and performance analysis techniques used in different research projects in the hospital field. The literature review will be analyzed and complemented by a classification study of the previous techniques. It is about a review in which will be proposed a computer platform based on Multi-Criteria Decision Analysis. This platform uses fuzzy pairwise comparisons and cross-sorting methods. Finally, the classification study is chosen in order to highlight the most adapted techniques to the different characteristics and components of the hospital system as part of the overall support decision process.

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How to Cite this Article

Tamir, M., Ouzayd, F., & Chiheb, R. (2018). A Decision Support Platform based on Cross-Sorting Methods for the Selection of Modeling Methods. International Journal of Advanced Computer Science and Applications, 9(10). https://doi.org/10.14569/IJACSA.2018.091058

Tamir, Manal, et al.. "A Decision Support Platform based on Cross-Sorting Methods for the Selection of Modeling Methods." International Journal of Advanced Computer Science and Applications, vol. 9, no. 10, 2018, https://doi.org/10.14569/IJACSA.2018.091058.

@article{Tamir2018,
  title     = {A Decision Support Platform based on Cross-Sorting Methods for the Selection of Modeling Methods},
  journal   = {International Journal of Advanced Computer Science and Applications},
  volume    = {9},
  number    = {10},
  year      = {2018},
  publisher = {The Science and Information Organization},
  author    = {Manal Tamir and Fatima Ouzayd and Raddouane Chiheb},
  doi       = {10.14569/IJACSA.2018.091058},
  url       = {https://doi.org/10.14569/IJACSA.2018.091058}
}

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