Internet of things (IoT) and big data analytics (BDA) for digital manufacturing (DM)

QC 20220406
This paper aims to investigate the impact of enterprise architecture (EA) on system capabilities in dealing with changes and uncertainties in globalised business environments. Enterprise information systems are viewed as information systems to acquire, process, and utilise data in decision-making supports at all levels and domains of businesses, and Internet of things (IoT), big data analytics (BDA), and digital manufacturing (DM) are introduced as representative enabling technologies for data collection, processing, and utilisation in manufacturing applications. The historical development of manufacturing technologies is examined to understand the evolution of system paradigms. The Shannon entropy is adopted to measure the complexity of systems and illustrate the roles of EAs in managing system complexity and achieving system stability in the long term. It is our argument that existing EAs sacrifice system flexibility, resilience, and adaptability for the reduction of system complexity; note that higher adaptability is critical to make a manufacturing system successfully. New EA is proposed to maximise system capabilities for higher flexibility, resilience, and adaptability. The potentials of the proposed EA to modern manufacturing are explored to identify critical research topics with illustrative examples from an application perspective.

SAMHÄLLSVETENSKAP Medie- och kommunikationsvetenskap Systemvetenskap, informationssystem och informatik med samhällsvetenskaplig inriktning hsv//swe
SOCIAL SCIENCES Media and Communications Information Systems, Social aspects hsv//eng
big data analytics (BDA)
cyber-physical systems (CPSs)
digital manufacturing (DM)
enterprise architecture (EA)
Internet of things (IoT)
Sustainable manufacturing
Advanced Analytics
Big data
Data Analytics
Data handling
Decision making
Industrial research
Information systems
Information use
Manufacture
Manufacturing data processing
System stability
Decision making support
Digital manufacturing
Enterprise Architecture
Enterprise information system
Historical development
Manufacturing applications
Manufacturing technologies
Internet of things

Jin, Y.School of Mechanical and Aerospace Engineering, Queen’s University Belfast, Belfast, UK (author)
Maropoulos, P.School of Mechanical and Aerospace Engineering, Queen’s University Belfast, Belfast, UK (author)
Zhang, W. -JDepartment of Mechanical Engineering, University of Saskatchewan, Saskatoon, Canada (author)
Wang, LihuiKTH,Industriell produktion(Swepub:kth)u1blju84 (author)
Department of Mathematics, Technion - IIT, Haifa, 3200003, IsraeSchool of Mechanical and Aerospace Engineering, Queen’s University Belfast, Belfast, UK (creator_code:org_t)

In:International Journal of Production Research: Informa UK Limited, s. 1-180020-75431366-588X

By the author/editor: Bi, Z.; Jin, Y.; Maropoulos, P.; Zhang, W. -J; Wang, Lihui

About the subject

SOCIAL SCIENCES: SOCIAL SCIENCES; and Media and Commun ...; and Information Syst ...

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