Abstract: In most societies, supply chain management and e-procurement processes, are one of the cornerstones of any economy and a primary influencer on people’s lives. Providing these communities with their different commodity needs de-pends on a wide range of suppliers. Due to supplier’s variety and diversity; the process of choosing the suitable supplier is considered the difficult and critical process, especially if this process is performed traditionally then decision making will be time and effort consuming to reach the desired results. To solve the problem of choosing the suitable supplier, this research suggests an intelligent algorithm, based on a given determinants that are specified by the decision maker or the customer. The proposed algorithm employs a set of intelligent formulas that will convert the predefined preferences into quantitative measure-ments. Quantitative measurements will be used to differentiate between different suppliers or between the set of given offers. The experimental results showed that D3􀀀 model employed the given preferences and succeeded in selecting the most appropriate offer among the many presented offers by the available suppliers.

Mahdi Jemmali, Loai Kayed B.Melhim and Mafawez Alharbi. “Multi-criteria Intelligent Algorithm for Supply Chain Management”. International Journal of Advanced Computer Science and Applications (IJACSA) 10.4 (2019). http://dx.doi.org/10.14569/IJACSA.2019.0100442

@article{Jemmali2019,
title = {Multi-criteria Intelligent Algorithm for Supply Chain Management},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2019.0100442},
url = {http://dx.doi.org/10.14569/IJACSA.2019.0100442},
year = {2019},
publisher = {The Science and Information Organization},
volume = {10},
number = {4},
author = {Mahdi Jemmali and Loai Kayed B.Melhim and Mafawez Alharbi}
}