Reshaping Industry 5.0 manufacturing processes

Purpose This paper aims to review the latest management developments across the globe and pinpoint practical implications from cutting-edge research and case studies. Design/methodology/approach This briefing is prepared by an independent writer who adds their own impartial comments and places the articles in context. Findings Greater real-time control, efficient interaction between humans and robots and increased sustainability are among attainable outcomes when manufacturers combine machine learning with cyber-physical systems. To increase the likelihood of achieving such results in an Industry 5.0 environment, firms must also address various challenges relating to issues that include data reliability, algorithmic bias, workforce skills, network complexity, system verification and cybersecurity. Originality/value The briefing saves busy executives, strategists and researchers hours of reading time by selecting only the very best, most pertinent information and presenting it in a condensed and easy-to-digest format.