Stochastic Container-to-Mode Assignment

D. Huizing
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D. Huizing: TNO

Chapter Chapter 4 in Optimisation in Synchromodal Logistics, 2023, pp 59-87 from Springer

Abstract: 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.

Date: 2023
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DOI: 10.1007/978-3-031-15655-7_4

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