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

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Intelligent Production and Manufacturing Optimisation—The Bees Algorithm Approach

Part of the book series: Springer Series in Advanced Manufacturing ((SSAM))

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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Acknowledgements

The Engineering and Physical Sciences Research Council (EPSRC), UK, grant no. EP/N018524/1 and the Indonesian Endowment Fund for Education (LPDP), University of Pelita Harapan supported this research. The authors would like to thank the University of Birmingham for providing flexible resources for intensive computational work to the University of Birmingham’s research community through the BEAR Cloud Service and Dr. Jiayi Liu of Wuhan University of Technology for providing his MATLAB code for disassembly time minimisation as the starting point for the current work.

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Authors and Affiliations

  1. Department of Mechanical Engineering, College of Engineering and Physical Sciences, The University of Birmingham, Birmingham, B15 2TT, UK

    Natalia Hartono & D. T. Pham

  2. Department of Industrial Engineering, Faculty of Science and Technology, University of Pelita Harapan, Tangerang, 15811, Indonesia

    Natalia Hartono

  3. Department of Business Administration, School of Industrial Engineering, Universidad de Castilla-La Mancha, 02071, Albacete, Spain

    F. Javier Ramírez

Authors
  1. Natalia Hartono
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  2. F. Javier Ramírez
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  3. D. T. Pham
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Correspondence to Natalia Hartono .

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Editors and Affiliations

  1. Department of Mechanical Engineering, University of Birmingham, Birmingham, UK

    Duc Truong Pham

  2. Department of Mechanical Engineering, University of Birmingham, Birmingham, UK

    Natalia Hartono

Appendix

Appendix

The results presented in this chapter can be found online at https://doi.org/10.25500/edata.bham.00000792.

Table 9 lists the acronyms used in this chapter.

Table 9 Acronyms
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Hartono, N., Javier Ramírez, F., Pham, D.T. (2023). Optimisation of Robotic Disassembly Sequence Plans for Sustainability Using the Multi-objective Bees Algorithm. In: Pham, D.T., Hartono, N. (eds) Intelligent Production and Manufacturing Optimisation—The Bees Algorithm Approach. Springer Series in Advanced Manufacturing. Springer, Cham. https://doi.org/10.1007/978-3-031-14537-7_19

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

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-14536-0

  • Online ISBN: 978-3-031-14537-7

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