{"title":"Optimising production efficiency: Managing flexibility in Industry 4.0 systems via simulation","authors":"","doi":"10.1016/j.cie.2024.110540","DOIUrl":null,"url":null,"abstract":"<div><p>The digital transformation, propelled by Industry 4.0, is essential for businesses to adapt to evolving market demands and sustainability pressures. This study addresses the need for improved plant optimisation by enhancing machinery and workstations through advanced digital modelling. Using the Tecnomatix Plant Simulation environment, we developed a simulation platform to assess the feasibility of a flexible production system. The model, based on a validated case study, demonstrated a 15% improvement in system performance by incorporating varying levels of machine flexibility. This improvement highlights the importance of designing production systems that can adapt to changing requirements efficiently. The study shows how increased flexibility in manufacturing environments can enhance operational efficiency and machine utilisation across different scenarios.</p></div>","PeriodicalId":55220,"journal":{"name":"Computers & Industrial Engineering","volume":null,"pages":null},"PeriodicalIF":6.7000,"publicationDate":"2024-09-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Computers & Industrial Engineering","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0360835224006612","RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS","Score":null,"Total":0}
引用次数: 0
Abstract
The digital transformation, propelled by Industry 4.0, is essential for businesses to adapt to evolving market demands and sustainability pressures. This study addresses the need for improved plant optimisation by enhancing machinery and workstations through advanced digital modelling. Using the Tecnomatix Plant Simulation environment, we developed a simulation platform to assess the feasibility of a flexible production system. The model, based on a validated case study, demonstrated a 15% improvement in system performance by incorporating varying levels of machine flexibility. This improvement highlights the importance of designing production systems that can adapt to changing requirements efficiently. The study shows how increased flexibility in manufacturing environments can enhance operational efficiency and machine utilisation across different scenarios.
期刊介绍：
Computers & Industrial Engineering (CAIE) is dedicated to researchers, educators, and practitioners in industrial engineering and related fields. Pioneering the integration of computers in research, education, and practice, industrial engineering has evolved to make computers and electronic communication integral to its domain. CAIE publishes original contributions focusing on the development of novel computerized methodologies to address industrial engineering problems. It also highlights the applications of these methodologies to issues within the broader industrial engineering and associated communities. The journal actively encourages submissions that push the boundaries of fundamental theories and concepts in industrial engineering techniques.
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