Multi-criteria Intelligent Algorithm for Supply Chain Management

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.

Authors and Affiliations

Mahdi Jemmali, Loai Kayed B. Melhim, Mafawez Alharbi

Keywords

Related Articles

MIMC: Middleware for Identifying & Mitigating Congestion Level in Hybrid Mobile Adhoc Network

Adoption of middleware system to solve the congestion problem in mobile ad-hoc network is few to find in the existing system. Research gap is found as existing congestion control mechanism in MANET doesn’t use middleware...

Weighted G1-Multi-Degree Reduction of B´ezier Curves

In this paper, weighted G1-multi-degree reduction of B´ezier curves is considered. The degree reduction of a given B´ezier curve of degree n is used to write it as a B´ezier curve of degree m,m < n. Exact degree reduc...

Functionality Gaps in the Design of Learning Management Systems

This research paper focuses on various gaps associated with the Learning Management System (LMS) and their remedies. LMS is a software application platform upon which multiple tasks related to online tutoring are created...

A Rich Feature-based Kernel Approach for Drug- Drug Interaction Extraction

Discovering drug-drug interactions (DDIs) is a crucial issue for both patient safety and health care cost control. Developing text mining techniques for identifying DDIs has attracted a great deal of attention in the las...

Multi-Agent System Testing: A Survey

In recent years, agent-based systems have received considerable attention in both academics and industry. The agent-oriented paradigm can be considered a natural extension to the object-oriented (OO) paradigm. Agents di...

Download PDF file
  • EP ID EP551420
  • DOI 10.14569/IJACSA.2019.0100442
  • Views 93
  • Downloads 0

How To Cite

Mahdi Jemmali, Loai Kayed B. Melhim, Mafawez Alharbi (2019). Multi-criteria Intelligent Algorithm for Supply Chain Management. International Journal of Advanced Computer Science & Applications, 10(4), 347-353. https://europub.co.uk/articles/-A-551420