LISS 2020

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Details

This book contains the proceedings of the 10th International Conference on Logistics, Informatics and Service Sciences (LISS 2020), which is co-organized by Beijing Jiaotong University, Budapest University of Technology and Economics, in July 2528 2020. This book focuses on the AI and data-driven technical and management innovation in logistics, informatics and services and aims to provide new research methods, theories and applications from various areas of management and engineering. In detail the included scientific papers analyse and describe communication processes in the fields of logistics, informatics, service sciences and other related areas. The variety of papers delivers added value for both scholars and practitioners. Information and communication technologies have been providing an effective network infrastructure and development platform for logistics and service operations.


Provides insights into 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, masters the developing trends, and exchanges the latest academic thoughts

Inhalt
Mono camera based pallet detection and pose estimation for Automated Guided Vehicles.- A Review of the Schedulability Tests and Optimal Design for Rate-Monotonic Scheduling.- Content Recommendation of Tender Documents Based on Qualitative Characteristics.- Data-Driven Phenetic Modeling of Scripts' Evolution.- MPNC: Improving Reliability of Data Transmission in Wireless Ad Hoc Networks.- Research on Bidding Case Recommendation Algorithm Considering Bidding Features.- Research on the Prediction of Shenzhen Growth Enterprise Market Price Index Based on EMDARIMA Model.- Research on Location and Path Planning of Distribution Center Based on Improved k-means Clustering Algorithm and Improved Ant Colony Algorithm.- Multiobjective optimization of production line supply based on maximum endurance time and rest allowance.- Intralogistics conversion of the Physical Internet.- Bayesian Production/Inventory Competition with Unobserved Lost Sales.

Weitere Informationen

  • Allgemeine Informationen
    • GTIN 09789813343580
    • Editor Shifeng Liu, Gábor Bohács, Anqiang Huang, Xiaopu Shang, Xianliang Shi
    • Sprache Englisch
    • Titel LISS 2020
    • Veröffentlichung 11.04.2021
    • ISBN 9813343583
    • Format Fester Einband
    • EAN 9789813343580
    • Jahr 2021
    • Größe H241mm x B160mm x T63mm
    • Untertitel Proceedings of the 10th International Conference on Logistics, Informatics and Service Sciences
    • Auflage 1st edition 2021
    • Genre Management
    • Lesemotiv Verstehen
    • Anzahl Seiten 1068
    • Herausgeber Springer Nature Singapore
    • Gewicht 1742g

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