Aslam, Farhan (2023) Enhanced Supply Chain Algorithm for ERP Systems Using ACO, Genetic, and Floyd-Warshall Algorithms. Journal of Engineering Research and Reports, 25 (10). pp. 102-109. ISSN 2582-2926
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Official URL: https://doi.org/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.
| Item Type: | Article |
|---|---|
| Subjects: | OA Open Library > Engineering |
| Depositing User: | Unnamed user with email support@oaopenlibrary.com |
| Date Deposited: | 30 Oct 2023 06:04 |
| Last Modified: | 30 Oct 2023 06:04 |
| URI: | http://archive.sdpublishers.com/id/eprint/1820 |
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