Since the signing of the Paris Agreement in 2016, there has been a growing emphasis on achieving sustainability across various sectors. One of these sectors is logistics. In order for this sector to be sustainable, an area of study called Green Logistics has been established. The aim of this study is to provide a literature analysis that represents the applications of Operation Research in Green Logistics, while also seeking to pinpoint gaps in research concerning these applications and offer insights for future investigations.

Leveraging data from the Web of Science and Scopus databases since 2021, duplicate records are eliminated using R Studio. VOSViewer software is used to analyze bibliometric networks, resulting in findings that include a classification of studies based on their country relationships and prevalent research fields. Moreover, a thorough examination of articles are conducted, categorizing them according to their objective functions and solution methods.

The results are evaluated to identify research gaps and potential future studies. Through Keyword co-occurrence analysis, the top three prevalent research areas are identified. These are Electrical Vehicle, Routing, and Cold Chain Logistic. The solution methodologies frequently involve algorithms, often comprising combinations of two algorithms or improvements to existing ones. This study contributes to advancing knowledge in the field of applications of Operation Research in Green Logistics.