Representing Labor Demands in Airport Ground Staff Scheduling
Jörg Herbers ()
Additional contact information
Jörg Herbers: INFORM Institut für Operations Research und Management GmbH
A chapter in Operations Research Proceedings 2005, 2006, pp 15-20 from Springer
Abstract:
Summary Airport ground staff scheduling gives rise to a number of challenging optimization problems. We give an overview of airport shift scheduling, focusing on suitable representations for labor demands. We argue that especially in short-term shift planning, traditional models using a demand curve representation of workloads are not always appropriate in ground handling. We therefore formulate task-level shift planning as the problem of creating a cost-minimal set of shift duties which cover the given set of work tasks. The resulting model integrates aspects from shift scheduling and vehicle routing. Depending on the number of additional constraints imposed, different solution techniques seem appropriate. We outline a branch-andprice algorithm which is able to solve an important class of task-level shift planning problems from the practice of airlines and ground handling companies to proven optimality within reasonable run-times.
Keywords: Demand Curve; Labor Demand; Work Task; Shift Type; Shift Schedule (search for similar items in EconPapers)
Date: 2006
References: Add references at CitEc
Citations: View citations in EconPapers (1)
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:oprchp:978-3-540-32539-0_3
Ordering information: This item can be ordered from
http://www.springer.com/9783540325390
DOI: 10.1007/3-540-32539-5_3
Access Statistics for this chapter
More chapters in Operations Research Proceedings from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().