Complex Sciences. First International Conference, Complex 2009, Shanghai, China, February 23-25, 2009. Revised Papers, Part 1

Research Article

Collaborative Transportation Planning in Complex Adaptive Logistics Systems: A Complexity Science-Based Analysis of Decision-Making Problems of “Groupage Systems”

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  • @INPROCEEDINGS{10.1007/978-3-642-02466-5_116,
        author={Michael H\'{y}lsmann and Herbert Kopfer and Philip Cordes and Melanie Bloos},
        title={Collaborative Transportation Planning in Complex Adaptive Logistics Systems: A Complexity Science-Based Analysis of Decision-Making Problems of “Groupage Systems”},
        proceedings={Complex Sciences. First International Conference, Complex 2009, Shanghai, China, February 23-25, 2009. Revised Papers, Part 1},
        proceedings_a={COMPLEX PART 1},
        year={2012},
        month={5},
        keywords={Complex Adaptive Systems Logistics Collaboration Groupage Systems Decision-making Problems Complexity Science Autonomous Cooperation},
        doi={10.1007/978-3-642-02466-5_116}
    }
    
  • Michael Hülsmann
    Herbert Kopfer
    Philip Cordes
    Melanie Bloos
    Year: 2012
    Collaborative Transportation Planning in Complex Adaptive Logistics Systems: A Complexity Science-Based Analysis of Decision-Making Problems of “Groupage Systems”
    COMPLEX PART 1
    Springer
    DOI: 10.1007/978-3-642-02466-5_116
Michael Hülsmann1,*, Herbert Kopfer1,*, Philip Cordes1,*, Melanie Bloos1,*
  • 1: University of Bremen
*Contact email: michael.huelsmann@uni-bremen.de, kopfer@uni-bremen.de, pcordes@uni-bremen.de, bloos@uni-bremen.de

Abstract

This paper aims to analyze decision-making problems in Groupage Systems from a complexity-science perspective. Therefore, the idea of Complex Adaptive Logistics Systems (CALS) and its inherent organization principle of autonomous co-operation and control will be presented. Furthermore, Groupage systems as a way to implement collaborative transportation planning will be introduced and, in combination with the idea of CALS, resulting decisionmaking problems for so-called ‘smart parts’ in logistics systems will be deduced.