Decision support systems for sustainable logistics: a review and bibliometric analysis
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paper_title: Decision Support and Business Intelligence Systems

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Decision Support and Business Intelligence Systems 9e provides the only comprehensive, up-to-date guide to today's revolutionary management support system technologies, and showcases how they can be used for better decision-making. KEY TOPICS: Decision Support Systems and Business Intelligence. Decision Making, Systems, Modeling, and Support. Decision Support Systems Concepts, Methodologies, and Technologies: An Overview. Modeling and Analysis. Data Mining for Business Intelligence. Artificial Neural Networks for Data Mining. Text and Web Mining. Data Warehousing. Collaborative Computer-Supported Technologies and Group Support Systems. Knowledge Management. Artificial Intelligence and Expert Systems. Advanced Intelligent Systems. Management Support Systems: Emerging Trends and Impacts. Ideal for practicing managers interested in the foundations and applications of BI, group support systems (GSS), knowledge management, ES, data mining, intelligent agents, and other intelligent systems.
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paper_title: Combinatorial optimization and Green Logistics

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The purpose of this paper is to introduce the area of Green Logistics and to describe some of the problems that arise in this subject which can be formulated as combinatorial optimization problems. The paper particularly considers the topics of reverse logistics, waste management and vehicle routing and scheduling.
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paper_title: Study on the Development of Modern Green Logistics in China

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With the rapid development of economy, the quantity of logistics activities in China increases quickly. Logistics activities brought serious negative impact on the environment. Therefore, the green logistics will become the trend of the current logistics. This paper first analyses the necessary of green logistics, then analyses the developing actuality of the green logistics in China, and also proposes some strategies to develop the green logistics from the government, the enterprises, consumers and the industry associations’ point of view respectively.
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Title: Decision Support Systems for Sustainable Logistics: A Review and Bibliometric Analysis

Section 1: INTRODUCTION
Description 1: Introduction to the importance of logistics in supply chains and the growing concern for sustainability, along with definitions and scope of green and sustainable logistics.

Section 2: METHODOLOGY
Description 2: Explanation of the systematic literature review process and criteria used for selecting and analyzing the literature.

Section 3: INITIAL DATA STATISTICS
Description 3: Presentation of the initial data statistics, including publishing trends, top journals, and classification of papers based on sustainability dimensions.

Section 4: BIBLIOMETRIC ANALYSIS
Description 4: Detailed analysis of authors, affiliations, and keyword statistics, highlighting key contributors and collaboration patterns in the field.

Section 5: TEXT NETWORK VISUALIZATION
Description 5: Visualization and examination of text patterns in titles and abstracts to identify common themes and decision-making approaches in sustainable logistics research.

Section 6: CONCLUSIONS, LIMITATIONS AND FUTURE DIRECTIONS
Description 6: Summary of key findings, limitations of the study, and directions for future research in the field of decision support systems for sustainable logistics.