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

Natalia Hartono; F Javier Ramirez; Duc Pham

doi:10.1007/978-3-031-14537-7_19

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

Natalia Hartono, F Javier Ramirez, Duc Pham

Mechanical Engineering

Research output: Chapter in Book/Report/Conference proceeding › Chapter (peer-reviewed) › peer-review

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.

Original language	English
Title of host publication	Intelligent Production and Manufacturing Optimisation – The Bees Algorithm Approach
Editors	Duc Pham, Natalia Hartono
Publisher	Springer, Cham
Chapter	19
Pages	337-363
Edition	1
ISBN (Electronic)	9783031145377
ISBN (Print)	9783031145360
DOIs	https://doi.org/10.1007/978-3-031-14537-7_19
Publication status	Published - 20 Nov 2022

Publication series

Name	Springer Series in Advanced Manufacturing
Publisher	Springer Cham
ISSN (Print)	1860-5168
ISSN (Electronic)	2196-1735

Access to Document

10.1007/978-3-031-14537-7_19Licence: None: All rights reserved

Appendix for book chapter "Optimisation of robotic disassembly sequence plans for sustainability using the multi-objective bees algorithm"
Hartono, N. (Creator), Ramirez, F. J. (Creator) & Pham, D. (Creator), University of Birmingham, 10 Feb 2022
DOI: 10.25500/edata.bham.00000792
Dataset

Cite this

Hartono, N., Javier Ramirez, F., & Pham, D. (2022). Optimisation of Robotic Disassembly Sequence Plans for Sustainability Using the Multi-objective Bees Algorithm. In D. Pham, & N. Hartono (Eds.), Intelligent Production and Manufacturing Optimisation – The Bees Algorithm Approach (1 ed., pp. 337-363). (Springer Series in Advanced Manufacturing). Springer, Cham. https://doi.org/10.1007/978-3-031-14537-7_19

Hartono, Natalia ; Javier Ramirez, F ; Pham, Duc. / Optimisation of Robotic Disassembly Sequence Plans for Sustainability Using the Multi-objective Bees Algorithm. Intelligent Production and Manufacturing Optimisation – The Bees Algorithm Approach. editor / Duc Pham ; Natalia Hartono. 1. ed. Springer, Cham, 2022. pp. 337-363 (Springer Series in Advanced Manufacturing).

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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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Hartono, N, Javier Ramirez, F & Pham, D 2022, Optimisation of Robotic Disassembly Sequence Plans for Sustainability Using the Multi-objective Bees Algorithm. in D Pham & N Hartono (eds), Intelligent Production and Manufacturing Optimisation – The Bees Algorithm Approach. 1 edn, Springer Series in Advanced Manufacturing, Springer, Cham, pp. 337-363. https://doi.org/10.1007/978-3-031-14537-7_19

Optimisation of Robotic Disassembly Sequence Plans for Sustainability Using the Multi-objective Bees Algorithm. / Hartono, Natalia; Javier Ramirez, F; Pham, Duc.
Intelligent Production and Manufacturing Optimisation – The Bees Algorithm Approach. ed. / Duc Pham; Natalia Hartono. 1. ed. Springer, Cham, 2022. p. 337-363 (Springer Series in Advanced Manufacturing).

Research output: Chapter in Book/Report/Conference proceeding › Chapter (peer-reviewed) › peer-review

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Hartono N, Javier Ramirez F, Pham D. Optimisation of Robotic Disassembly Sequence Plans for Sustainability Using the Multi-objective Bees Algorithm. In Pham D, Hartono N, editors, Intelligent Production and Manufacturing Optimisation – The Bees Algorithm Approach. 1 ed. Springer, Cham. 2022. p. 337-363. (Springer Series in Advanced Manufacturing). doi: 10.1007/978-3-031-14537-7_19

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

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Appendix for book chapter "Optimisation of robotic disassembly sequence plans for sustainability using the multi-objective bees algorithm"

Cite this