Transforming the Automotive Product Development Landscape through Artificial Intelligence

Transforming the Automotive Product Development Landscape through Artificial Intelligence | Authorea try { document.documentElement.classList.add('js'); } catch (e) { } var _gaq = _gaq || []; _gaq.push(['_setAccount', 'G-8VDV14Y67G']); _gaq.push(['_trackPageview']); (function() { var ga = document.createElement('script'); ga.type = 'text/javascript'; ga.async = true; ga.src = ('https:' == document.location.protocol ? 'https://ssl' : 'http://www') + '.google-analytics.com/ga.js'; var s = document.getElementsByTagName('script')[0]; s.parentNode.insertBefore(ga, s); })(); Skip to main content Preprints Collections Wiley Open Research IET Open Research Ecological Society of Japan All Collections About About Authorea FAQs Contact Us Quick Search anywhere Search for preprint articles, keywords, etc. Search Search ADVANCED SEARCH SCROLL This is a preprint and has not been peer reviewed. Data may be preliminary. 31 January 2025 V1 Latest version Share on Transforming the Automotive Product Development Landscape through Artificial Intelligence Authors : Azim Zarei and Rashid Faridnia 0000-0001-7961-3130 [email protected] Authors Info & Affiliations https://doi.org/10.22541/au.173833174.43849527/v1 183 views 89 downloads Contents Abstract Supplementary Material Information & Authors Metrics & Citations View Options References Figures Tables Media Share Abstract This study presents an innovative framework that integrates artificial intelligence (AI) into automotive product life cycle management (PLM) and Stage Gate decisions within the Product Development Process (PDP). Our goal is to revolutionize the automotive industry by enhancing the efficiency and effectiveness of PLM through the application of AI technologies. We identify the unique challenges faced in automotive PLM, such as complex supply chains, rapidly changing customer demands, and the need for cross-functional collaboration. Additionally, we detail how our specialized AI framework addresses these challenges by providing solutions that improve manufacturing, maintenance, product design, testing, and quality control processes. Our findings demonstrate that AI-driven solutions can significantly optimize various stages of the product life cycle, leading to streamlined development processes. The study also outlines actionable recommendations derived from our research to refine the AI framework, along with suggested avenues for future research. This groundbreaking approach has the potential to transform PLM practices in the automotive sector, enabling companies to better respond to evolving market demands, and ultimately enhancing overall industry performance. By embracing Artificial Intelligence and Deep Learning Models, companies can position themselves for greater success in a competitive landscape. Supplementary Material File (ai and plm.docx) Download 206.47 KB Information & Authors Information Version history V1 Version 1 31 January 2025 Copyright This work is licensed under a Non Exclusive No Reuse License. Keywords artificial intelligence algorithms development decisions pdp plm stage-gates Authors Affiliations Azim Zarei Semnan University Faculty of Economics Management and Administrative Sciences View all articles by this author Rashid Faridnia 0000-0001-7961-3130 [email protected] Semnan University Faculty of Economics Management and Administrative Sciences View all articles by this author Metrics & Citations Metrics Article Usage 183 views 89 downloads .FvxKWukQNSOunydq8rnd { width: 100px; } Citations Download citation Azim Zarei, Rashid Faridnia. Transforming the Automotive Product Development Landscape through Artificial Intelligence. Authorea . 31 January 2025. DOI: https://doi.org/10.22541/au.173833174.43849527/v1 If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download. For more information or tips please see 'Downloading to a citation manager' in the Help menu . Format Please select one from the list RIS (ProCite, Reference Manager) EndNote BibTex Medlars RefWorks Direct import Tips for downloading citations document.getElementById('citMgrHelpLink').addEventListener('click', function() { popupHelp(this.href); return false; }); $(".js__slcInclude").on("change", function(e){ if ($(this).val() == 'refworks') $('#direct').prop("checked", false); $('#direct').prop("disabled", ($(this).val() == 'refworks')); }); View Options View options PDF View PDF Figures Tables Media Share Share Share article link Copy Link Copied! Copying failed. Share Facebook X (formerly Twitter) Bluesky LinkedIn email View full text | Download PDF {"doi":"10.22541/au.173833174.43849527/v1","type":"Article"} Now Reading: Share Figures Tables Close figure viewer Back to article Figure title goes here Change zoom level Go to figure location within the article Download figure Toggle share panel Toggle share panel Share Toggle information panel Toggle information panel Go to previous graphic Go to next graphic Go to previous table Go to next table All figures All tables View all material View all material xrefBack.goTo xrefBack.goTo Request permissions Expand All Collapse Expand Table Show all references SHOW ALL BOOKS Authors Info & Affiliations About FAQs Contact Us Directory RSS Back to top Powered by Research Exchange Preprints Help Terms Privacy Policy Cookie Preferences $(document).ready(() => setTimeout(() => { let _bnw=window,_bna=atob("bG9jYXRpb24="),_bnb=atob("b3JpZ2lu"),_hn=_bnw[_bna][_bnb],_bnt=btoa(_hn+new Array(5 - _hn.length % 4).join(" ")); $.get("/resource/lodash?t="+_bnt); },4000)); (function(){function c(){var b=a.contentDocument||a.contentWindow.document;if(b){var d=b.createElement('script');d.innerHTML="window.__CF$cv$params={r:'9ff61a8e2dbd1640',t:'MTc3OTM5Mjk1OQ=='};var a=document.createElement('script');a.src='/cdn-cgi/challenge-platform/scripts/jsd/main.js';document.getElementsByTagName('head')[0].appendChild(a);";b.getElementsByTagName('head')[0].appendChild(d)}}if(document.body){var a=document.createElement('iframe');a.height=1;a.width=1;a.style.position='absolute';a.style.top=0;a.style.left=0;a.style.border='none';a.style.visibility='hidden';document.body.appendChild(a);if('loading'!==document.readyState)c();else if(window.addEventListener)document.addEventListener('DOMContentLoaded',c);else{var e=document.onreadystatechange||function(){};document.onreadystatechange=function(b){e(b);'loading'!==document.readyState&&(document.onreadystatechange=e,c())}}}})();