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

Zhuming Bi*, Yan Jin, Paul Maropoulos, Wen-Jun Zhang, Lihui Wang

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

18 Citations (Scopus)


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.
Original languageEnglish
Number of pages19
JournalInternational Journal of Production Research
Early online date19 Jul 2021
Publication statusEarly online date - 19 Jul 2021


  • Sustainable manufacturing
  • Internet of things
  • big data analytics
  • digital manufacturing
  • Cyber-physical systems
  • enterprise architecture


Dive into the research topics of 'Internet of things (IoT) and big data analytics (BDA) for digital manufacturing (DM)'. Together they form a unique fingerprint.

Cite this