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The Optimization Methods In Supply Chain Management – A Bibliometric Analysis

Author

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  • Martina Bris Alic

    (Josip Juraj Strossmayer University of Osijek, Croatia)

Abstract

To find the most relevant articles applying optimization methods in supply chain management, the Web of Science Core Collection database was searched. 465 papers matching the search query were found. After excluding papers that were not articles and articles that were not in English, 359 articles remained, which were further evaluated using the following bibliometric analyses: Co-authorship analysis (Unit of analysis: Authors and Countries), Citation analysis (Unit of analysis: Documents, Sources and Authors), Co-occurrence analysis (Unit of analysis: Authors keywords). The graphical bibliometric overview was created using the Visualization of Similarities - VoSviewer program. The paper contributes to the understanding of the literature in which optimization methods in supply chain management are applied by showing the main articles, authors, journals, countries where the main articles come from, and the keywords used by the authors when writing the researched articles. To find relevant literature, it is possible to extend the search to the Scopus database and apply the above to future searches. It is also possible to perform other bibliometric analyses in future searches.

Suggested Citation

  • Martina Bris Alic, 2023. "The Optimization Methods In Supply Chain Management – A Bibliometric Analysis," Business Logistics in Modern Management, Josip Juraj Strossmayer University of Osijek, Faculty of Economics, Croatia, vol. 23, pages 281-296.
    • Handle: RePEc:osi:bulimm:v:23:y:2023:p:281-296
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    References listed on IDEAS

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    1. Sherif A Masoud & Scott J Mason, 2016. "A bi-criteria hybrid metaheuristic for analysing an integrated automotive supply chain," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 67(3), pages 516-526, March.
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