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Stochastic Container-to-Mode Assignment

In: Optimisation in Synchromodal Logistics

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  • D. Huizing

    (TNO)

Abstract

In this chapter, we introduce stochasticity in the events, going to quadrant 2 in Fig. 4.1. Here, the goal is the same as in the previous chapter, however, now almost any element can be stochastic: for instance, travel times and container release times could be given a discrete probability distribution rather than a fixed value. Rigorous definitions are formulated to capture the generalities in this stochasticity. Multistage stochastic optimisation and Markov Decision Processes are illustrated but advised against for their computing time: instead, Expected Future Iteration and 70%-Pessimistic Future Iteration are developed and shown to yield near-optimal results in a small amount of time in the simulated environment.

Suggested Citation

  • D. Huizing, 2023. "Stochastic Container-to-Mode Assignment," Lecture Notes in Operations Research, in: Frank Phillipson (ed.), Optimisation in Synchromodal Logistics, chapter 0, pages 59-87, Springer.
    • Handle: RePEc:spr:lnopch:978-3-031-15655-7_4
    DOI: 10.1007/978-3-031-15655-7_4
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