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IEEE Open Journal of the Industrial Electronics Society
Article . 2024 . Peer-reviewed
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A Functional and Practical Taxonomy for the Industrial Implementation of Highly Automated Reverse Manufacturing Cells

Authors: Annagiulia Morachioli; Vladimir Sivtsov; Nicolas Rojas; Fabio Bonsignorio;

A Functional and Practical Taxonomy for the Industrial Implementation of Highly Automated Reverse Manufacturing Cells

Abstract

While it is a widespread understanding that the sustainability of the global economy requires a transition to a circular economy paradigm where a growing share of the raw materials resources used for the manufacturing of the products are recycled when products reach their end-of-life, still this much-needed transition faces organizational and technical challenges. The key technical and economic bottlenecks are in the automation of disassembly. In this article, we propose a viable functional framework for the systematic analysis, design, and implementation of disassembly cells. This framework consists of two main parts: a systematic categorization of disassembly tasks and a modular and flexible hardware (HW)/software (SW) architecture of a disassembly cell able to implement the disassembly tasks. We analyze and categorize human manipulation when disassembling a common object of daily working activities as a new companion concept to the more common concept of daily life activities. We tested and validated our methodology on the disassembly of a car suspension.

Keywords

robotics, TK7800-8360, Industrial engineering. Management engineering, dismantling, dual arm, Circular economy (CE), Electronics, T55.4-60.8, disassembly

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
gold