1.0i40https://i40.dit.uoi.grDimitris Mitrogiorgoshttps://i40.dit.uoi.gr/index.php/author/dim_mitrogiorgos/rich600338<blockquote class="wp-embedded-content" data-secret="4371mad4vh"><a href="https://i40.dit.uoi.gr/index.php/en/smart-industry/">Smart Industry</a></blockquote><iframe sandbox="allow-scripts" security="restricted" src="https://i40.dit.uoi.gr/index.php/en/smart-industry/embed/#?secret=4371mad4vh" width="600" height="338" title="“Smart Industry” — i40" data-secret="4371mad4vh" frameborder="0" marginwidth="0" marginheight="0" scrolling="no" class="wp-embedded-content"></iframe><script> /*! This file is auto-generated */ !function(d,l){"use strict";l.querySelector&&d.addEventListener&&"undefined"!=typeof URL&&(d.wp=d.wp||{},d.wp.receiveEmbedMessage||(d.wp.receiveEmbedMessage=function(e){var t=e.data;if((t||t.secret||t.message||t.value)&&!/[^a-zA-Z0-9]/.test(t.secret)){for(var s,r,n,a=l.querySelectorAll('iframe[data-secret="'+t.secret+'"]'),o=l.querySelectorAll('blockquote[data-secret="'+t.secret+'"]'),c=new RegExp("^https?:$","i"),i=0;i<o.length;i++)o[i].style.display="none";for(i=0;i<a.length;i++)s=a[i],e.source===s.contentWindow&&(s.removeAttribute("style"),"height"===t.message?(1e3<(r=parseInt(t.value,10))?r=1e3:~~r<200&&(r=200),s.height=r):"link"===t.message&&(r=new URL(s.getAttribute("src")),n=new URL(t.value),c.test(n.protocol))&&n.host===r.host&&l.activeElement===s&&(d.top.location.href=t.value))}},d.addEventListener("message",d.wp.receiveEmbedMessage,!1),l.addEventListener("DOMContentLoaded",function(){for(var e,t,s=l.querySelectorAll("iframe.wp-embedded-content"),r=0;r<s.length;r++)(t=(e=s[r]).getAttribute("data-secret"))||(t=Math.random().toString(36).substring(2,12),e.src+="#?secret="+t,e.setAttribute("data-secret",t)),e.contentWindow.postMessage({message:"ready",secret:t},"*")},!1)))}(window,document); //# sourceURL=https://i40.dit.uoi.gr/wp-includes/js/wp-embed.min.js </script> Semester B Mandatory Remote Smart Industry Integration of Artificial Intelligence, the Internet of Things (IoT), and data analytics to create a modern industrial environment that can be easily and quickly adapted to the ever-changing demands of manufacturing and the supply chain. ECTS Credits 0 Weeks 0 Total Hours 0 Bibliography Sources 0 Learning Outcomes 1) Understanding the fundamental concepts of Smart Industry 2) Analysis of the technological infrastructure related to Smart Industry 3) Understanding the Principles of Innovative and Smart Industrial Transformation 4) Familiarization with applications related to Smart Manufacturing 5) Familiarization with Smart Industry technology applications in smart, energy-efficient buildings 6) Presentation of project ideas as part of the course and constructive feedback 7) Submission of a comprehensive final report and project presentation General Skills Data search & synthesis Indepenent project Team project Inductive & Creative Thinking Big Data Optimization Methods Syllabus Week Topic 1 Introduction to Smart Industry 2 Technologies related to Smart Industry 3 Cyber-Physical Systems 4 Internet of Things – Big Data 5 Machine Learning – Artificial Intelligence 6 Project Topic Selection 7 Blockchain Technology 8 3D – 4D Printing 9 Midterm Project Presentations 10 Applications: Predictive Maintenance 11 Applications: Mass Customization 12 Applications: Manufacturing Cloud 13 Final Project Presentations Evaluation & Workload Semester Workload Evaluation Methods Activity Hours Lectures 39 Bibliographic Assignment 31 Project Implementation 25 Independent Study 30 Course Total 125 Individual Project Final Individual Project Presentation ActivityHoursLectures39 Bibliographic Assignment 31 Project Implementation 25 Independent Study 30Course Total125 Individual Project Final Individual Project Presentation Bibliography Recommended Textbooks Scientific Journals Digital transformation in smart manufacturing. BoD–Books on DemandPetrillo, A., Cioffi, R., & De Felice, F. (Eds.). (2018) Smart manufacturing: concepts and methodsSoroush, M., Baldea, M., & Edgar, T. F. (Eds.). (2020) Smart manufacturing: Characteristics, technologies and enabling factorsMittal, S., Khan, M. A., Romero, D., & Wuest, T. (2019) Smart manufacturing powered by recent technological advancements: A review Sahoo, S., & Lo, C. Y. (2022) Guide to computing fundamentals in cyber-physical systemsMoller, D. (2016) IEEETransactions on Industrial Informatics ElsevierJournal of Manufacturing Processes ElsevierAdvances in Industrial and Manufacturing Engineering CIRPJournal of Manufacturing Science and Technology MDPIApplied Sciences Journal Journal of Advanced Manufacturing and Processes Digital transformation in smart manufacturing. BoD–Books on DemandPetrillo, A., Cioffi, R., & De Felice, F. (Eds.). (2018)Smart manufacturing: concepts and methodsSoroush, M., Baldea, M., & Edgar, T. F. (Eds.). (2020)Smart manufacturing: Characteristics, technologies and enabling factorsMittal, S., Khan, M. A., Romero, D., & Wuest, T. (2019)Smart manufacturing powered by recent technological advancements: A review Sahoo, S., & Lo, C. Y. (2022)Guide to computing fundamentals in cyber-physical systemsMoller, D. (2016)IEEETransactions on Industrial Informatics ElsevierJournal of Manufacturing Processes ElsevierAdvances in Industrial and Manufacturing EngineeringCIRPJournal of Manufacturing Science and TechnologyMDPIApplied SciencesJournal Journal of Advanced Manufacturing and Processes Course Information Semester B΄ ECTS5 Minutes per Week 180 Type Specialized Knowledge Requirements — Course Format Synchronous 30% Asynchronous 70% Remote e-class Erasmus ✓ Technologies & Tools IoT 3D Printing Blockchain AI Big Data Back to Courses Page Πλατφόρμα e-class Υλικό μαθήματος, βίντεο, forum & ανακοινώσεις Πρόσβαση στο e-class