@article {Tamir202273,
	title = {Conception of an Automatic Decision Support Platform Based on Cross-Sorting Methods and the Fuzzy Logic for General Use},
	journal = {Lecture Notes in Networks and Systems},
	volume = {489 LNNS},
	year = {2022},
	note = {cited By 0},
	pages = {73-81},
	abstract = {Problems related to the classification of a set of data (methods, tools{\textellipsis}), by using the opinions of a committee members, challenge the need for an effective treatment based on the theoretical methods developed through the literature. Indeed, this study was conducted to answer the need identified during the realization of a prioritization study of a graphic modeling methods set in order to develop it into a computing platform. This platform is based on Multi-Criteria Decision Analysis and is destined for practical and general use. The developed platform uses fuzzy pairwise comparisons and cross-sorting methods. It consists of the calculation of two main results: the overall weight of each data to be classified and the consistency index. Regarding the use of fuzzy logic for calculating weights, we opt for the triangular function in the extension of the principle of least-squares logarithmic regression for taking into account the inaccuracy. Finally, the calculation of the normalized weight values can generate an irrational ordering of fuzzy number elements. In our previous work, we have tried to find the conditions on pairwise comparisons values to get rational outcomes, but the calculation was very heavy with the Matlab software. In addition, the modifications to make on the comparisons are multiple, not automatic and depend on the user{\textquoteright}s appreciation. The present work gives a classification solution of results in order to keep only input data (comparisons) that respect the rational order of the weights values. Then, an optimization algorithm is programmed to maximize the consistency indexes of this part of results, by allowing a limited margin of modification without greatly altering the initial data. {\textcopyright} 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.},
	doi = {10.1007/978-3-031-07969-6_6},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85135093234\&doi=10.1007\%2f978-3-031-07969-6_6\&partnerID=40\&md5=c4b7ba813043a527b2117d440b4bfe8e},
	author = {Tamir, M. and Chiheb, R. and Ouzayd, F. and Retmi, K.}
}
@conference {Retmi20211667,
	title = {Role of Digitalization in the Hospital Supply Chain Performance Improvement: Digitalization of Hospital Pharmacy},
	booktitle = {Proceedings of the International Conference on Industrial Engineering and Operations Management},
	year = {2021},
	note = {cited By 0},
	pages = {1667-1675},
	abstract = {The hospital is a different supply chain made up of different structures and flows. Due to the Covid-19 pandemic, the hospital has overcome several major challenges in recent times, which have prompted it to accelerate the digitization of its supply chain to improve the quality of hospital care and services. This article looks at a specific point, that of performance in the hospital supply chain, and asks the following question: What is the role of digitalization in improving the performance of the hospital supply chain?. {\textcopyright} IEOM Society International.},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85126203150\&partnerID=40\&md5=815020aadcba2907820de968a3beebd8},
	author = {Retmi, K. and Tamir, M. and Ouzayd, F.}
}
@article {Tamir2018475,
	title = {A decision support platform based on cross-sorting methods for the selection of modeling methods: Case of the hospital supply chain performance analysis},
	journal = {International Journal of Advanced Computer Science and Applications},
	volume = {9},
	number = {10},
	year = {2018},
	pages = {475-484},
	doi = {10.14569/IJACSA.2018.091058},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85057264376\&doi=10.14569\%2fIJACSA.2018.091058\&partnerID=40\&md5=86e7cd3123ccc3b5399a68fccad72235},
	author = {Tamir, M. and Chiheb, R. and Ouzayd, F.}
}
@article {Ouzayd2018433,
	title = {Monitoring vaccine cold chain model with coloured Petri net},
	journal = {International Journal of Advanced Computer Science and Applications},
	volume = {9},
	number = {5},
	year = {2018},
	pages = {433-438},
	doi = {10.14569/IJACSA.2018.090556},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85049502237\&doi=10.14569\%2fIJACSA.2018.090556\&partnerID=40\&md5=e1b01d6274c2d762e344e2b45167d60f},
	author = {Ouzayd, F. and Mansouri, H. and Tamir, M. and Chiheb, R. and Benhouma, Z.}
}
