Robust Multistage Yard Crane Scheduling in Container Terminals

Tobias Marx () and Michael Hartisch ()
Additional contact information
Tobias Marx: University of Siegen
Michael Hartisch: University of Siegen

A chapter in Operations Research Proceedings 2021, 2022, pp 268-273 from Springer

Abstract: Abstract We deal with robust yard crane scheduling inside a storage block of a container terminal. We consider scenarios with high utilization rates of the cranes, where uncertainties regarding the arrival of transport vehicles at the sea and landside lead to uncertain schedules for the yard cranes. If uncertainties are not incorporated in the scheduling process, the resulting plans can quickly become suboptimal, leading to extended overall completion times that result in delays and can incur penalty costs as a consequence. We present a multistage robust optimization model that allows us to minimize the worst-case objective value by taking into account the uncertain arrival times. Furthermore, we compare our approach with a deterministic model.

Keywords: Robust optimization; Uncertainty; Quantified programming; Scheduling; Yard cranes; Container terminals (search for similar items in EconPapers)
Date: 2022
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:lnopch:978-3-031-08623-6_40

Ordering information: This item can be ordered from
http://www.springer.com/9783031086236

DOI: 10.1007/978-3-031-08623-6_40

Access Statistics for this chapter

More chapters in Lecture Notes in Operations Research from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().