the firm level reports positive impacts of green warehousing, emissions management and reverse logistics on
environmental, economic and social performance in SME contexts (Nguyen et al., 2025). On optimisation and
modelling, integrated LIT (location-inventory-transport) models that incorporate environmental and social
objectives produce more sustainable network configurations than single-objective designs (Becerra et al.,
2024). Scenario-based models for biofuel/biomass supply chains and multi-layer sustainability models
demonstrate how mathematical programming and scenario analysis can quantify trade-offs among cost,
emissions and social indicators and help policy/management decisions under uncertainty (Mohseni, 2025;
Fazlollahtabar, 2022). Finally, a case study of GenAI in an automotive warehouse reports dramatic operational
gains (e.g., ~79% reduction in reception time in the studied facility), together with improved error rates and
cost savings yet emphasises the need for standardised labeling, workforce adaptation and ethical/data
governance to sustain benefits (Moica et al., 2025). Taken together, these findings show that technical adoption
(AI, optimisation) and process redesign are jointly necessary, circular practices and closed-loop thinking
materially improve logistics sustainability when organisational capabilities exist, and mathematical models
provide the decision support needed to trade off environmental, social and economic objectives.
The bibliometric toolbox will be used to do the bibliometric analysis. The primary technique and the
enrichment technique are the two methods included in the toolbox. Performance analysis (A) and science
mapping (B) are the two key components of the approach. Although the primary approaches may be used for a
wide range of investigations, this research study will concentrate on a few of them. Two pieces of software, R
and VOSViewer, helped with the bibliometric. A quantitative study of a vast collection of data is called
bibliometric analysis, and the results are presented as themes, networks, research elements, and descriptive
analysis. The evolution and thematic organization of a certain field may be studied with the use of this
bibliometric analysis, which "was also undertaken by Badenes-Rocha et al., (2022)". Additionally, this study is
free of subjective prejudice. This paper's analysis of the bibliographic data "was also undertaken by Nasir et al.,
(2022)." Science mapping and performance analysis were used to derive the trends and research direction. A
technique for analysed the contributions of research participants, including authors, counties, publishers,
publications, and institutions in the subject region, is performance analysis. The purpose of science mapping is
to create connections among the components of research. As "also undertaken by earlier studies
(Krishnamoorthi et al., 2025, Jakhar et al., 2023, Nasir et al., 2022, Badenes-Rocha et al., 2022)," combining
scientific mapping and enrichment approaches gives us the conceptual framework of a study area and the
fundamental topics of the issue, establishing a connection between different research parts.
A bibliometric analysis database is gathered from the Scopus database. The Scopus database, which "was also
undertaken by Jakhar et al., (2023)," is regarded as the most scientific and methodical database for bibliometric
analysis. Scopus has been recognized as the best database for bibliometric analysis in addition to the
aforementioned claim, which "was also done prior research (Krishnamoorthi et al., 2025, Jakhar et al., 2023,
Nasir et al., 2022, Badenes-Rocha et al., 2022)". Therefore, it can be claimed that Scopus is the most extensive
database that includes a wide range of information on articles and that papers must meet strict criteria in order
to be included in this database. Based on its thorough coverage, strict quality requirements, and strong
analytical features, Scopus was selected as the primary database for this investigation. Compared to Google
Scholar and the Web of Science, Scopus offers a more extensive yet well selected collection of academic
journals, conference proceedings, and publications from a range of subjects. Unlike Google Scholar, which
contains unfiltered and non-peer-reviewed sources, Scopus' Content Selection and Advisory Board (CSAB)
maintains strict selection rules that ensure the legitimacy of indexed resources. The Web of Science has stricter
inclusion requirements as well, although its scope is more constrained and predominantly Western.
Furthermore, compared to the conventional influence Factor of the Web of Science, Scopus includes advanced
citation metrics like CiteScore, SNIP, and SJR, which offer a more thorough view of the influence of research.
Its frequent updates, user-friendly design, and interaction with tools like Mendeley further improve its
usefulness for systematic academic research. As a result, Scopus is the most reliable and balanced platform for
retrieving high-quality, internationally inclusive scholarly literature. Initially, document type screening was
conducted to include just journal articles, review papers, and conference papers, since these classifications
signify peer-reviewed and citable academic contributions. Non-scholarly elements, including book chapters,
editorials, conference papers, and notes, were eliminated to ensure analytical accuracy and research quality.
Several keywords are recognized for the optimal search, including “Warehousing”, “Sustainable warehousing”,
and “Asia”. The optimal keyword was “Sustainable warehousing”. This article was analysed Sustainable