Details

LISS 2023


LISS 2023

Proceedings of 13th International Conference on Logistics, Informatics and Service Sciences
Lecture Notes in Operations Research

von: Daqing Gong, Yixuan Ma, Xiaowen Fu, Juliang Zhang, Xiaopu Shang

CHF 260.00

Verlag: Springer
Format: PDF
Veröffentl.: 20.07.2024
ISBN/EAN: 9789819740451
Sprache: englisch

Dieses eBook enthält ein Wasserzeichen.

Beschreibungen

<p>The proceeding volume focuses on the “AI and data driven technical and management innovation in logistics, informatics and services”. In detail the included scientific papers analyze the latest fundamental advances in the state of the art and practice of logistics, informatics, service operations and service science. The proceedings volume is documentation of LISS 2023 at Beijing and Hong Kong in July 26-28, 2023. It is co-organized by Beijing Jiaotong University and The Hong Kong Polytechnic University.</p>
<p>Retroverse Envisioning Combined Physical Fitness and Embodied Learning.- An Attribute Relationship Clustering Algorithm for Telecom Customer Group Discovery.- A Review on Sustainable Transportation and Circular Economy Actions on Urban.- Research on processing game problem of Fixed-Proportions Co-products under correlated demand.</p>
<p>The proceeding volume focuses on the “AI and data driven technical and management innovation in logistics, informatics and services”. In detail the included scientific papers analyze the latest fundamental advances in the state of the art and practice of logistics, informatics, service operations and service science. The proceedings volume is documentation of LISS 2023 at Beijing and Hong Kong in July 26-28, 2023. It is co-organized by Beijing Jiaotong University and The Hong Kong Polytechnic University.</p>
Provides insights in solving the problems in logistics, informatics, service operations and service science Features research in such areas as logistics, supply chain, information management and service science Discusses academic issues and the developing trends driven by AI and data

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