Artikel

Routing two stacking cranes with predetermined container sequences

The scheduling of gantry cranes with respect to mutual interference has received considerable attention in recent years. We consider a subproblem which arises when each crane has a sequence of tasks to be assigned. The problem is concerned with resolving the interference between two cranes by determining which crane avoids the other in order to let it complete its next task first. We provide a fairly general problem framework accounting for different crane systems and various side constraints. We assume a cost function for each task that determines the cost of completing the task at a specific point in time. We then distinguish between the objectives to minimize both the total cost and the maximum cost among tasks. A general dynamic programming framework is provided which allows us to solve all problem versions in pseudo-polynomial time. Furthermore, we show that while the general problem aiming for minimum total cost is binary NP-hard, the general problem aiming for minimum maximum cost can be solved in polynomial time. Finally, we address two important special cases of the former, and we show that they can be solved in polynomial time as well.

Language
Englisch

Bibliographic citation
Journal: Journal of Scheduling ; ISSN: 1099-1425 ; Volume: 24 ; Year: 2021 ; Issue: 4 ; Pages: 367-380 ; New York, NY: Springer US

Classification
Management
Subject
Port operations
Container logistics
Gantry crane scheduling
Resolving mutual interference

Event
Geistige Schöpfung
(who)
Briskorn, Dirk
Event
Veröffentlichung
(who)
Springer US
(where)
New York, NY
(when)
2021

DOI
doi:10.1007/s10951-021-00689-4
Last update
10.03.2025, 11:43 AM CET

Data provider

This object is provided by:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. If you have any questions about the object, please contact the data provider.

Object type

  • Artikel

Associated

  • Briskorn, Dirk
  • Springer US

Time of origin

  • 2021

Other Objects (12)