Reconfigurable Manufacturing: An Investigation of Diagnosability Requirements, Enabling Technologies and Applications in Industry

2022
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Authors: Alessia Napoleone; Brendan P. Sullivan; Elias Arias-Nava; Ann-Louise Andersen
Published in: Towards Sustainable Customization: Bridging Smart Products and Manufacturing Systems
Publisher: Springer International Publishing

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Abstract

The chapter delves into the diagnosability characteristic of Reconfigurable Manufacturing Systems (RMS), highlighting five key requirements: avoiding, detecting, identifying, correcting, and recovering from quality and reliability problems. It identifies enabling technologies such as sensors, big data analytics, and IoT, and presents a framework mapping these requirements to technologies. The study also includes case studies from three companies, demonstrating how diagnosability requirements are met in diverse manufacturing contexts. The results offer insights into the varying levels of diagnosability and the specific technologies employed, providing a valuable resource for professionals seeking to enhance their manufacturing systems' adaptability and efficiency.

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previous chapter Classification of Reconfigurability Characteristics of Supply Chain

next chapter A Classification of the Barriers in the Implementation Process of Reconfigurability

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Title: Reconfigurable Manufacturing: An Investigation of Diagnosability Requirements, Enabling Technologies and Applications in Industry
Authors: Alessia Napoleone
Brendan P. Sullivan
Elias Arias-Nava
Ann-Louise Andersen
Publisher: Springer International Publishing
Book: Towards Sustainable Customization: Bridging Smart Products and Manufacturing Systems
Print ISBN: 978-3-030-90699-3

Electronic ISBN: 978-3-030-90700-6

Copyright Year: 2022
DOI: https://doi.org/10.1007/978-3-030-90700-6_8

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