Enhanced Supply Chain Algorithm for ERP Systems Using ACO, Genetic, and Floyd-Warshall Algorithms
Farhan Aslam *
Department of Information Technology, University of the Cumberlands, KY, USA.
*Author to whom correspondence should be addressed.
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.
Keywords: 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