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Robustness of Complex Adaptive Logistics Systems: Effects of Autonomously Controlled Heuristics in a Real-World Car Terminal

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Robust Manufacturing Control

Part of the book series: Lecture Notes in Production Engineering ((LNPE))

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Abstract

Logistics systems have to cope with different challenges like unforeseeable machine failures leading to an increase of dynamics and complexity. Accordingly, a system’s robustness (i.e. the ability to resist against a number of endangering environmental influences and the ability to restore its operational reliability after being damaged) might be decreased. Thus, this paper aims to answer the following research question: How do selected exemplarily heuristics (Minimum Queue-length Estimation, Minimum Cumulative Processing, Simple Rule-based, Holonic, Ant Pheromone, and Neural Net) contribute to a real world Hamburg Harbour Car Terminal’s robustness? Thereby, the research focus in this investigation is on throughput time. As a main result it could be shown that all selected heuristics could contribute to a positive development of the system’s robustness in case of machine failures. Thus, from a practical view potentials for the improvement of real-world scenarios might be assumed.

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Notes

  1. 1.

    For this baseline simulation accuracy (docking) test and application of the NN model, we ignore all parking waiting times except parking queues directly affecting the car-flows through specific treatment stations, since none of the heuristics involve any parking waits before cars get to DP1.

  2. 2.

    The Design Option ‘Neural Net’ is selected, since it is the first CALS design option of a bunch of consecutive design options, that require all the preceding design options [7].

  3. 3.

    For an overview of further design options of CALS beside the Neural Net see [7].

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Acknowledgments

This research was supported by the German Research Foundation (DFG) as part of the Collaborative Research Centre 637 “Autonomous Cooperating Logistic Processes—A Paradigm Shift and its Limitations”.

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Authors and Affiliations

  1. Jacobs University Bremen, Campus Ring 1, Bremen, 28759, Germany

    Christoph Illigen, Benjamin Korsmeier & Michael Hülsmann

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  1. Christoph Illigen
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  2. Benjamin Korsmeier
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Correspondence to Christoph Illigen .

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  1. , Global Production Logistics - Internatio, Jacobs University Bremen, Campus Ring 1, Bremen, 28759, Germany

    Katja Windt

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Illigen, C., Korsmeier, B., Hülsmann, M. (2013). Robustness of Complex Adaptive Logistics Systems: Effects of Autonomously Controlled Heuristics in a Real-World Car Terminal. In: Windt, K. (eds) Robust Manufacturing Control. Lecture Notes in Production Engineering. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-30749-2_12

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  • DOI: https://doi.org/10.1007/978-3-642-30749-2_12

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