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Erschienen in:
The Bees Algorithm—A Gentle Introduction Kapitel lesen Erstes Kapitel lesen

2023 | OriginalPaper | Buchkapitel

Optimisation of Robotic Disassembly Sequence Plans for Sustainability Using the Multi-objective Bees Algorithm

verfasst von : Natalia Hartono, F. Javier Ramírez, D. T. Pham

Erschienen in: Intelligent Production and Manufacturing Optimisation—The Bees Algorithm Approach

Verlag: Springer International Publishing

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Abstract

In recent years, remanufacturing has become critical for environmental protection and natural resource conservation. The purpose of the work reported in this chapter is to find the best plan for product disassembly, the first step in the recovery of end-of-life products, balancing the three goals of sustainability—economic, energy and environmental. The study proposes three strategies: reuse, remanufacturing and recycling. The Multi-objective Bees Algorithm (MOBA), Non-dominated Sorting Genetic Algorithm II (NSGA II) and Pareto Envelope-based Selection Algorithm II (PESA II) are used to create solutions for two case studies. In this work, MOBA outperforms other algorithms in finding Pareto optimal solutions for robotic disassembly sequence planning in all cases.

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Vorheriges Kapitel Collaborative Optimisation of Robotic Disassembly Planning Problems using the Bees Algorithm
Nächstes Kapitel Task Optimisation for a Modern Cloud Remanufacturing System Using the Bees Algorithm
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Metadaten
Titel
Optimisation of Robotic Disassembly Sequence Plans for Sustainability Using the Multi-objective Bees Algorithm
verfasst von
Natalia Hartono
F. Javier Ramírez
D. T. Pham
Copyright-Jahr
2023
Buch
Intelligent Production and Manufacturing Optimisation—The Bees Algorithm Approach

Print ISBN: 978-3-031-14536-0

Electronic ISBN: 978-3-031-14537-7

Copyright-Jahr: 2023

DOI
https://doi.org/10.1007/978-3-031-14537-7_19