Optimising and recognising 2-stage delivery chains with time windows
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.
|, , ,|
|Lecture Notes in Computer Science|
|Computational Logistics: 8th International Conference|
|Organisation||Networks and Optimization|
Phillipson, F, Ortega del Vecchyo, M, van Ginkel, B, Huizing, D, & Sangers, A. (2017). Optimising and recognising 2-stage delivery chains with time windows. In Computational Logistics: 8th International Conference (pp. 366–380). doi:10.1007/978-3-319-68496-3_25