Yuguang Bao , Xianyu Zhang , Chengjun Wang , Xinguo Ming
{"title":"Further expansion from smart manufacturing system (SMS) to social smart manufacturing system (SSMS) based on industrial internet","authors":"Yuguang Bao , Xianyu Zhang , Chengjun Wang , Xinguo Ming","doi":"10.1016/j.cie.2024.110119","DOIUrl":null,"url":null,"abstract":"<div><p>The Industrial Internet (II) is driving the evolution of the manufacturing industry characterized by socially-engagement, servitization, universal interaction, and connection. With a single technical perspective, the requirements of “Sociality” and “Smartness” for future factories are often confused. The motivation of this study is to fill the existing gaps and provide practical knowledge for exploring how to design, synthesize, implement, and deploy a social smart manufacturing system (SSMS). Through an in-depth industrial practice investigation based on cooperative inquiry, an innovative factory model, namely II-supported SSMS, was proposed and synthesized for establishing a socialized aerospace part machining service ecosystem. The II-supported SSMS has been implemented and demonstrated via testbed validation. Furthermore, useful and portable practical knowledge was elicited from the industrial practice. A detailed six-step system architecture and a structural and hierarchical implementation strategy were presented, revealing the reference subsystem, integration logic, main technology tenants, and critical implementation processes of II-supported SSMS. Finally, the practical value and useful insights of II-supported SSMS were analyzed from the aspects of functionality, efficiency, flexibility, smartness, anthropocentric production, interconnectedness, collaborative intelligence, and scalability and portability. The potential risks, challenges, and barriers also were discussed.</p></div>","PeriodicalId":55220,"journal":{"name":"Computers & Industrial Engineering","volume":"191 ","pages":"Article 110119"},"PeriodicalIF":6.5000,"publicationDate":"2024-04-08","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/S0360835224002407","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 Industrial Internet (II) is driving the evolution of the manufacturing industry characterized by socially-engagement, servitization, universal interaction, and connection. With a single technical perspective, the requirements of “Sociality” and “Smartness” for future factories are often confused. The motivation of this study is to fill the existing gaps and provide practical knowledge for exploring how to design, synthesize, implement, and deploy a social smart manufacturing system (SSMS). Through an in-depth industrial practice investigation based on cooperative inquiry, an innovative factory model, namely II-supported SSMS, was proposed and synthesized for establishing a socialized aerospace part machining service ecosystem. The II-supported SSMS has been implemented and demonstrated via testbed validation. Furthermore, useful and portable practical knowledge was elicited from the industrial practice. A detailed six-step system architecture and a structural and hierarchical implementation strategy were presented, revealing the reference subsystem, integration logic, main technology tenants, and critical implementation processes of II-supported SSMS. Finally, the practical value and useful insights of II-supported SSMS were analyzed from the aspects of functionality, efficiency, flexibility, smartness, anthropocentric production, interconnectedness, collaborative intelligence, and scalability and portability. The potential risks, challenges, and barriers also were discussed.
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.