Abstract
In logistic delivery chains time windows are common. An arrival has to be in a certain time interval, at the expense of waiting time or penalties if the time limits are exceeded. This paper looks at the optimal placement of those time intervals in a specific case of a barge visiting two ports in sequence. For the second port a possible delay or penalty should be incorporated. Next, recognising these penalty structures in data is analysed to if see certain patterns in public travel data indicate that a certain dependency exists.
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Phillipson, F., del Vecchyo, M.O., van Ginkel, B., Huizing, D., Sangers, A. (2017). Optimising and Recognising 2-Stage Delivery Chains with Time Windows. In: Bektaş, T., Coniglio, S., Martinez-Sykora, A., Voß, S. (eds) Computational Logistics. ICCL 2017. Lecture Notes in Computer Science(), vol 10572. Springer, Cham. https://doi.org/10.1007/978-3-319-68496-3_25
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DOI: https://doi.org/10.1007/978-3-319-68496-3_25
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