Asset selection and optimisation for robotic assembly cell reconfiguration

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Asset selection and optimisation for robotic assembly cell reconfiguration

With the development of Industry 4.0, the manufacturing industry has revolutionized a lot. Product manufacture becomes more and more customized. This trend is achieved by innovative techniques, such as the reconfigurable manufacturing system. This system is designed at the outset for rapid change in...

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Bibliographic Details
Main Author:	Mo, Fan
Format:	Thesis (University of Nottingham only)
Language:	English
Published:	2024
Subjects:	Robotic assembly cells; Experience databank; Optimal manufacturing asset selection; Layout optimisation; Robots in manufacturing
Online Access:	https://eprints.nottingham.ac.uk/77263/

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