Enhanced Supply Chain Algorithm for ERP Systems Using ACO, Genetic,  and Floyd-Warshall Algorithms

Farhan Aslam

doi:10.9734/jerr/2023/v25i101004

Research Article Open access CC BY 4.0

Enhanced Supply Chain Algorithm for ERP Systems Using ACO, Genetic, and Floyd-Warshall Algorithms

Farhan Aslam

Journal of Engineering Research and Reports · pp. 102–109 · Published 28 Oct 2023

10.9734/jerr/2023/v25i101004

Abstract

In the era of digital transformation, optimizing supply chains is paramount for businesses to remain competitive. This research article delves into the creation of an enhanced supply chain algorithm for ERP systems using the Ant Colony Optimization (ACO), Genetic, and Floyd-Warshall algorithms. Through a comparative analysis using dummy data from two companies, Alco and Palto, we demonstrate the efficacy of our approach.

Supply chain optimization ERP systems ant colony optimization (ACO) genetic algorithms floyd-warshall algorithm dynamic routing lead time analysis weather impact delivery history item receipts cost efficiency algorithmic comparison logistics; data-driven decision making simulation

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Farhan Aslam (2023). Enhanced Supply Chain Algorithm for ERP Systems Using ACO, Genetic, and Floyd-Warshall Algorithms. Journal of Engineering Research and Reports , 102–109. https://doi.org/10.9734/jerr/2023/v25i101004

Affiliations

Farhan Aslam — Department of Information Technology, University of the Cumberlands, KY, USA.

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