Open AccessBuilding a Reusable Data Model to Support Systematic Layout Planning with Discrete Event Simulation of Flexible Manufacturing Systems
Author(s) -
Zsolt Molnár,
Péter Tamás,
Béla Illés
Publication year - 2021
Publication title -
hungarian journal of industry and chemistry/hungarian journal of industrial chemistry
Language(s) - English
Resource type - Journals
eISSN - 2450-5102
pISSN - 0133-0276
DOI - 10.33927/hjic-2021-29
Subject(s) - flexibility (engineering) , variety (cybernetics) , manufacturing engineering , integrated computer aided manufacturing , factory (object oriented programming) , computer integrated manufacturing , automation , discrete event simulation , digital manufacturing , event (particle physics) , process development execution system , engineering , flexible manufacturing system , computer science , industrial engineering , operations management , simulation , quantum mechanics , artificial intelligence , mechanical engineering , statistics , physics , mathematics , scheduling (production processes) , programming language
Manufacturing has undergone a greater change in recent years than it has over almost the entire past century. Due to the variety of products, shortening delivery times and changing customer habits, the COVID-19 pandemic has demanded greater flexibility from manufacturing companies than ever before. One of the fundamental parts of manufacturing flexibility is the design of manufacturing layouts, which has so far not followed automation and methodological developments with regard to technological areas of manufacturing. In this article, a new method for supporting traditional factory design methods with digital manufacturing tools is introduced.