PredictionSCMS: The Implementation of an AI-Powered Supply Chain Management System

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Implementation of an AI-Powered Supply Chain Management System</title> <meta name="description" content="PredictionSCMS: The Implementation of an AI-Powered Supply Chain Management System"> <meta name="keywords" content="Demand forecasting, machine learning, risk management, supply chain design."> <meta name="viewport" content="width=device-width, initial-scale=1, minimum-scale=1, maximum-scale=1, user-scalable=no"> <meta charset="utf-8"> <meta name="citation_title" content="PredictionSCMS: The Implementation of an AI-Powered Supply Chain Management System"> <meta name="citation_author" content="Ioannis Andrianakis"> <meta name="citation_author" content="Vasileios Gkatas"> <meta name="citation_author" content="Nikos Eleftheriadis"> <meta name="citation_author" content="Alexios Ellinidis"> <meta name="citation_author" content="Ermioni Avramidou"> <meta name="citation_publication_date" content="2024/03/04"> <meta name="citation_journal_title" content="International Journal of Industrial 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class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/search?q=Ioannis%20Andrianakis">Ioannis Andrianakis</a>, <a href="https://publications.waset.org/search?q=Vasileios%20Gkatas"> Vasileios Gkatas</a>, <a href="https://publications.waset.org/search?q=Nikos%20Eleftheriadis"> Nikos Eleftheriadis</a>, <a href="https://publications.waset.org/search?q=Alexios%20Ellinidis"> Alexios Ellinidis</a>, <a href="https://publications.waset.org/search?q=Ermioni%20Avramidou"> Ermioni Avramidou</a> </p> <p class="card-text"><strong>Abstract:</strong></p> <p>The paper discusses the main aspects involved in the development of a supply chain management system using the developed PredictionSCMS software as a basis for the discussion. The discussion is focused on three topics: the first is demand forecasting, where we present the predictive algorithms implemented and discuss related concepts such as the calculation of the safety stock, the effect of out-of-stock days etc. The second topic concerns the design of a supply chain, where the core parameters involved in the process are given, together with a methodology of incorporating these parameters in a meaningful order creation strategy. Finally, the paper discusses some critical events that can happen during the operation of a supply chain management system and how the developed software notifies the end user about their occurrence.</p> <iframe src="https://publications.waset.org/10013537.pdf" style="width:100%; height:400px;" frameborder="0"></iframe> <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/search?q=Demand%20forecasting" title="Demand forecasting">Demand forecasting</a>, <a href="https://publications.waset.org/search?q=machine%20learning" title=" machine learning"> machine learning</a>, <a href="https://publications.waset.org/search?q=risk%20management" title=" risk management"> risk management</a>, <a href="https://publications.waset.org/search?q=supply%20chain%20design." title=" supply chain design."> supply chain design.</a> </p> <a href="https://publications.waset.org/10013537/predictionscms-the-implementation-of-an-ai-powered-supply-chain-management-system" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/10013537/apa" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">APA</a> <a href="https://publications.waset.org/10013537/bibtex" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">BibTeX</a> <a href="https://publications.waset.org/10013537/chicago" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">Chicago</a> <a href="https://publications.waset.org/10013537/endnote" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">EndNote</a> <a href="https://publications.waset.org/10013537/harvard" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">Harvard</a> <a href="https://publications.waset.org/10013537/json" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">JSON</a> <a href="https://publications.waset.org/10013537/mla" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">MLA</a> <a href="https://publications.waset.org/10013537/ris" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">RIS</a> <a href="https://publications.waset.org/10013537/xml" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">XML</a> <a href="https://publications.waset.org/10013537/iso690" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">ISO 690</a> <a href="https://publications.waset.org/10013537.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">205</span> </span> <p class="card-text"><strong>References:</strong></p> <br>[1] B. Abbabatulla, N. Gupta and A. Goyal, "https://www.gartner.com/en/documents/3986284/market-share-analysis-supply-chain-management-software-w," 2020. (Online). <br>[2] SAP. (Online). Available: https://www.sap.com/products/scm.html. <br>[3] Oracle. (Online). Available: https://www.oracle.com/scm/. <br>[4] Blue Yonder. (Online). Available: https://blueyonder.com/. <br>[5] Open Boxes. (Online). Available: https://openboxes.com/. <br>[6] Open Pro. (Online). Available: https://openpro.com/. <br>[7] Odoo. (Online). Available: https://www.odoo.com/app/inventory. <br>[8] SGA, "pscmsForecasting," (Online). Available: https://github.com/sgasa/pscmsForecasting. <br>[9] I. Andrianakis, V. Gkatas, N. Eleftheriadis, A. Ellinidis and E. Avramidou, "pscmsForecasting: a demand forecasting python web service," in preparation. <br>[10] R. G. Brown, Statistical forecasting for inventory control, McGraw/Hill, 1959. <br>[11] C. E. Holt, "Forecasting seasonals and trends by exponentially weighted averages," 1957. <br>[12] P. R. Winters, "Forecasting sales by exponentially weighted moving averages," Management Science, vol. 6, p. 324–342, 1960. <br>[13] G. E. P. Box and G. M. Jenkins, Time series analysis: Forecasting and control, Holden-Day, 1970. <br>[14] Facebook, "FBProphet," (Online). Available: https:/facebook.github.io/prophet. <br>[15] I. Goodfellow, Y. Bengio and A. Courville, Deep Learning, MIT Press, 2016. <br>[16] T. Hastie, R. Tibshirani and J. Friedman, The Elements of Statistical Learning, Springer, 2008. </div> </div> </div> </main> <footer> <div id="infolinks" class="pt-3 pb-2"> <div class="container"> <div style="background-color:#f5f5f5;" class="p-3"> <div class="row"> <div class="col-md-2"> <ul class="list-unstyled"> About <li><a href="https://waset.org/page/support">About Us</a></li> <li><a href="https://waset.org/page/support#legal-information">Legal</a></li> <li><a target="_blank" rel="nofollow" href="https://publications.waset.org/static/files/WASET-16th-foundational-anniversary.pdf">WASET celebrates its 16th foundational anniversary</a></li> </ul> </div> <div class="col-md-2"> <ul class="list-unstyled"> Account <li><a href="https://waset.org/profile">My Account</a></li> </ul> </div> <div class="col-md-2"> <ul class="list-unstyled"> Explore <li><a href="https://waset.org/disciplines">Disciplines</a></li> <li><a href="https://waset.org/conferences">Conferences</a></li> <li><a href="https://waset.org/conference-programs">Conference Program</a></li> <li><a href="https://waset.org/committees">Committees</a></li> <li><a href="https://publications.waset.org">Publications</a></li> </ul> </div> <div class="col-md-2"> <ul class="list-unstyled"> Research <li><a href="https://publications.waset.org/abstracts">Abstracts</a></li> <li><a href="https://publications.waset.org">Periodicals</a></li> <li><a href="https://publications.waset.org/archive">Archive</a></li> </ul> </div> <div class="col-md-2"> <ul class="list-unstyled"> Open Science <li><a target="_blank" rel="nofollow" href="https://publications.waset.org/static/files/Open-Science-Philosophy.pdf">Open Science Philosophy</a></li> <li><a target="_blank" rel="nofollow" href="https://publications.waset.org/static/files/Open-Science-Award.pdf">Open Science Award</a></li> <li><a target="_blank" rel="nofollow" href="https://publications.waset.org/static/files/Open-Society-Open-Science-and-Open-Innovation.pdf">Open Innovation</a></li> <li><a target="_blank" rel="nofollow" href="https://publications.waset.org/static/files/Postdoctoral-Fellowship-Award.pdf">Postdoctoral Fellowship Award</a></li> <li><a target="_blank" rel="nofollow" href="https://publications.waset.org/static/files/Scholarly-Research-Review.pdf">Scholarly Research Review</a></li> </ul> </div> <div class="col-md-2"> <ul class="list-unstyled"> Support <li><a href="https://waset.org/page/support">Support</a></li> <li><a href="https://waset.org/profile/messages/create">Contact Us</a></li> <li><a href="https://waset.org/profile/messages/create">Report Abuse</a></li> </ul> </div> </div> </div> </div> </div> <div class="container text-center"> <hr style="margin-top:0;margin-bottom:.3rem;"> <a href="https://creativecommons.org/licenses/by/4.0/" target="_blank" class="text-muted small">Creative Commons Attribution 4.0 International License</a> <div id="copy" class="mt-2">© 2024 World Academy of Science, Engineering and Technology</div> </div> </footer> <a href="javascript:" id="return-to-top"><i class="fas fa-arrow-up"></i></a> <div class="modal" id="modal-template"> <div class="modal-dialog"> <div class="modal-content"> <div class="row m-0 mt-1"> <div class="col-md-12"> <button type="button" class="close" data-dismiss="modal" aria-label="Close"><span aria-hidden="true">×</span></button> </div> </div> <div class="modal-body"></div> </div> </div> </div> <script src="https://cdn.waset.org/static/plugins/jquery-3.3.1.min.js"></script> <script src="https://cdn.waset.org/static/plugins/bootstrap-4.2.1/js/bootstrap.bundle.min.js"></script> <script src="https://cdn.waset.org/static/js/site.js?v=150220211556"></script> <script> jQuery(document).ready(function() { /*jQuery.get("https://publications.waset.org/xhr/user-menu", function (response) { jQuery('#mainNavMenu').append(response); });*/ jQuery.get({ url: "https://publications.waset.org/xhr/user-menu", cache: false }).then(function(response){ jQuery('#mainNavMenu').append(response); }); }); </script> </body> </html>

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PredictionSCMS: The Implementation of an AI-Powered Supply Chain Management System