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A Bibliometric Analysis of a Genetic Algorithm for Supply Chain Agility

Author

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  • Weng Hoe Lam

    (Department of Physical and Mathematical Science, Faculty of Science, Universiti Tunku Abdul Rahman, Kampar Campus, Jalan Universiti, Bandar Barat, Kampar 31900, Perak, Malaysia)

  • Weng Siew Lam

    (Department of Physical and Mathematical Science, Faculty of Science, Universiti Tunku Abdul Rahman, Kampar Campus, Jalan Universiti, Bandar Barat, Kampar 31900, Perak, Malaysia)

  • Pei Fun Lee

    (Department of Physical and Mathematical Science, Faculty of Science, Universiti Tunku Abdul Rahman, Kampar Campus, Jalan Universiti, Bandar Barat, Kampar 31900, Perak, Malaysia)

Abstract

As a famous population-based metaheuristic algorithm, a genetic algorithm can be used to overcome optimization complexities. A genetic algorithm adopts probabilistic transition rules and is suitable for parallelism, which makes this algorithm attractive in many areas, including the logistics and supply chain sector. To obtain a comprehensive understanding of the development in this area, this paper presents a bibliometric analysis on the application of a genetic algorithm in logistics and supply chains using data from 1991 to 2024 from the Web of Science database. The authors found a growing trend in the number of publications and citations over the years. This paper serves as an important reference to researchers by highlighting important research areas, such as multi-objective optimization, metaheuristics, sustainability issues in logistics, and machine learning integration. This bibliometric analysis also underlines the importance of Non-Dominated Sorting Genetic Algorithm II (NSGA-II), sustainability, machine learning, and variable neighborhood search in the application of a genetic algorithm in logistics and supply chains in the near future. The integration of a genetic algorithm with machine learning is also a potential research gap to be filled to overcome the limitations of genetic algorithms, such as the long computational time, difficulties in obtaining optimal solutions, and convergence issues for application in logistics and supply chains.

Suggested Citation

  • Weng Hoe Lam & Weng Siew Lam & Pei Fun Lee, 2024. "A Bibliometric Analysis of a Genetic Algorithm for Supply Chain Agility," Mathematics, MDPI, vol. 12(8), pages 1-22, April.
    • Handle: RePEc:gam:jmathe:v:12:y:2024:i:8:p:1199-:d:1377216
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    References listed on IDEAS

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    1. Nadeem Shafique Butt & Ahmad Azam Malik & Muhammad Qaiser Shahbaz, 2021. "Bibliometric Analysis of Statistics Journals Indexed in Web of Science Under Emerging Source Citation Index," SAGE Open, , vol. 11(1), pages 21582440209, January.
    2. Lutz Bornmann & Robin Haunschild & Sven E. Hug, 2018. "Visualizing the context of citations referencing papers published by Eugene Garfield: a new type of keyword co-occurrence analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 114(2), pages 427-437, February.
    3. Farahani, Reza Zanjirani & Miandoabchi, Elnaz & Szeto, W.Y. & Rashidi, Hannaneh, 2013. "A review of urban transportation network design problems," European Journal of Operational Research, Elsevier, vol. 229(2), pages 281-302.
    4. Jafarian, Ahmad & Rabiee, Meysam & Tavana, Madjid, 2020. "A novel multi-objective co-evolutionary approach for supply chain gap analysis with consideration of uncertainties," International Journal of Production Economics, Elsevier, vol. 228(C).
    5. Qinglong Zhang & Naifu Deng & Yanwen Zhu & Zhenping Huang & Xiangtao Li, 2022. "Multidepot Two-Echelon Vehicle Routing Problem for Earthwork Allocation Optimization," Mathematical Problems in Engineering, Hindawi, vol. 2022, pages 1-14, January.
    6. Zhu, Kai & Ji, Kaiyuan & Shen, Jiayu, 2021. "A fixed charge transportation problem with damageable items under uncertain environment," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 581(C).
    7. Lihong Pan & Miyuan Shan & Linfeng Li, 2023. "Optimizing Perishable Product Supply Chain Network Using Hybrid Metaheuristic Algorithms," Sustainability, MDPI, vol. 15(13), pages 1-21, July.
    8. Shuyue Peng & Qinming Liu & Jiarui Hu, 2023. "Green Distribution Route Optimization of Medical Relief Supplies Based on Improved NSGA-II Algorithm under Dual-Uncertainty," Sustainability, MDPI, vol. 15(15), pages 1-22, August.
    9. Rabbani, M. & Heidari, R. & Yazdanparast, R., 2019. "A stochastic multi-period industrial hazardous waste location-routing problem: Integrating NSGA-II and Monte Carlo simulation," European Journal of Operational Research, Elsevier, vol. 272(3), pages 945-961.
    10. Govindan, Kannan & Soleimani, Hamed & Kannan, Devika, 2015. "Reverse logistics and closed-loop supply chain: A comprehensive review to explore the future," European Journal of Operational Research, Elsevier, vol. 240(3), pages 603-626.
    11. Akram Chibani & Xavier Delorme & Alexandre Dolgui & Henri Pierreval, 2018. "Dynamic optimisation for highly agile supply chains in e-procurement context," International Journal of Production Research, Taylor & Francis Journals, vol. 56(17), pages 5904-5929, September.
    12. Jones, D. F. & Mirrazavi, S. K. & Tamiz, M., 2002. "Multi-objective meta-heuristics: An overview of the current state-of-the-art," European Journal of Operational Research, Elsevier, vol. 137(1), pages 1-9, February.
    13. Kallina, Dennis & Siegfried, Patrick, 2021. "Optimization of Supply Chain Network using Genetic Algorithms based on Bill of materials," MPRA Paper 111397, University Library of Munich, Germany.
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