This paper has been designed in the form of a systematic literature review intended for evaluating the state-of-the-art of discrete-event simulation (DES) usage in the logistics and supply chain management fields under a scientometric perspective. With this primary aim in mind, 127 papers published between 2009 and 2022 are analysed, with the specific purposes of: 1) providing an overview of DES studies in logistics and supply chain management, map the main topics covered within this stream of literature and their evolution in time; 2) providing a robust ranking of the journals and authors in the field; 3) evaluating the rigor in the implementation of DES models in the logistics and supply chain management literature; and finally 4) correlating, through statistical elaborations, all the previous aspects to the success of these papers, measured as the citations received per year, taking inspiration from scientometric disciplines.

Discrete-event simulation in logistics and supply chain management: a scientometric perspective / Bottani, Eleonora; Casella, Giorgia. - In: PRODUCTION & MANUFACTURING RESEARCH. - ISSN 2169-3277. - 12:(2024), pp. 2415038.1-2415038.41. [10.1080/21693277.2024.2415038]

Discrete-event simulation in logistics and supply chain management: a scientometric perspective

Eleonora Bottani
;
Giorgia Casella
2024-01-01

Abstract

This paper has been designed in the form of a systematic literature review intended for evaluating the state-of-the-art of discrete-event simulation (DES) usage in the logistics and supply chain management fields under a scientometric perspective. With this primary aim in mind, 127 papers published between 2009 and 2022 are analysed, with the specific purposes of: 1) providing an overview of DES studies in logistics and supply chain management, map the main topics covered within this stream of literature and their evolution in time; 2) providing a robust ranking of the journals and authors in the field; 3) evaluating the rigor in the implementation of DES models in the logistics and supply chain management literature; and finally 4) correlating, through statistical elaborations, all the previous aspects to the success of these papers, measured as the citations received per year, taking inspiration from scientometric disciplines.
2024
Discrete-event simulation in logistics and supply chain management: a scientometric perspective / Bottani, Eleonora; Casella, Giorgia. - In: PRODUCTION & MANUFACTURING RESEARCH. - ISSN 2169-3277. - 12:(2024), pp. 2415038.1-2415038.41. [10.1080/21693277.2024.2415038]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11381/3005153
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