Machine Intelligence for Agile Manufacturing

Sunny Katyara, Lubna Luxmi Dhirani, Philip Long, F. O'Farell, T Morell, Court Edmondson, Bhawani Shankar Chowdhry

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

Abstract

With the advent of Industry 5.0, new aspects have been coined apart from smart automation and data exchange in Industry 4.0, that entails to maintain societal norms, i.e., sustainability, well-being, and resilience. Developing and deploying solutions that transform existing industries into smart factories requires to employ autonomous robots and digital tools. Besides improving the quality and quantity of the end product produced, it also curtails the cost and time of commercialization at mass customization, especially in the case of agile manufacturing. However, it raises safety and ethical concerns for the workers who are on the verge of direct contact with such emerging technologies. Therefore, designing and developing human-centric adaptive and intelligent solutions that fulfill the needs of manufacturers (i.e., return on investment) and customers (i.e., customized and cost-efficient) is quite challenging. This chapter discusses the realization of Industry 5.0 in agile manufacturing and highlights its practical obligations for socio-intelligent automation using the ACROBA platform.
Original languageEnglish (Ireland)
Title of host publicationMachine Intelligence for Agile Manufacturing
PublisherTaylor and Francis-CRC Press
Pages199-215
Number of pages17
Edition1st
ISBN (Electronic)9781003376620
DOIs
Publication statusPublished - 1 Jan 2024

Keywords

  • Additive Manufacturing
  • AI
  • IoT
  • Security
  • ACROBA

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