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dc.contributor.authorFusek, Peter-
dc.contributor.authorKlinkert, Andreas-
dc.date.accessioned2020-05-07T08:29:54Z-
dc.date.available2020-05-07T08:29:54Z-
dc.date.issued2019-
dc.identifier.urihttps://digitalcollection.zhaw.ch/handle/11475/19991-
dc.description.abstractStaff scheduling and rostering involves a number of hierarchical subproblems including demand modeling, task generation, shift design, days-off scheduling, shift assignment and real-time dispatching. When solving highly constrained large-scale workforce planning problems it is usually not computationally practical to deal simultaneously with all these tasks. Real-world software solutions typically decompose the overall planning task into heuristically designed subproblems which then are tackled by a variety of suitable exact and heuristic methods. We present results from a major research and business project with Swissport International, the largest ground handling company worldwide, which provides services for 850 customers and 265 million passengers a year, with a workforce of 68 000 personnel at 315 airports. During a long-term strategic cooperation, a high-performance software for automated staff scheduling has been developed, which is able to solve the complex large-scale rostering problems in Swissport's airport operations. The methodology comprises a broad range of optimization techniques including preprocessing, decomposition and relaxation approaches, mixed-integer programming models, and various heuristic procedures. Operational deployment started at Zurich Airport and is continually being extended to other airports and customers. Bottom line benefits include faster and more robust planning processes, improved roster quality, and substantial financial savings.de_CH
dc.language.isoende_CH
dc.rightsLicence according to publishing contractde_CH
dc.subjectRosteringde_CH
dc.subjectProgrammingde_CH
dc.subjectMixed-Integerde_CH
dc.subject.ddc005: Computerprogrammierung, Programme und Datende_CH
dc.titleAirport ground staff scheduling : a real-world business applicationde_CH
dc.typeKonferenz: Sonstigesde_CH
dcterms.typeTextde_CH
zhaw.departementSchool of Engineeringde_CH
zhaw.organisationalunitInstitut für Datenanalyse und Prozessdesign (IDP)de_CH
zhaw.conference.details30th European Conference on Operational Research, Dublin, Ireland, 23-26 June 2019de_CH
zhaw.funding.euNode_CH
zhaw.originated.zhawYesde_CH
zhaw.publication.statuspublishedVersionde_CH
zhaw.publication.reviewPeer review (Abstract)de_CH
zhaw.webfeedSimulation and Optimizationde_CH
zhaw.author.additionalNode_CH
zhaw.display.portraitYesde_CH
Appears in collections:Publikationen School of Engineering

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Fusek, P., & Klinkert, A. (2019). Airport ground staff scheduling : a real-world business application. 30th European Conference on Operational Research, Dublin, Ireland, 23-26 June 2019.
Fusek, P. and Klinkert, A. (2019) ‘Airport ground staff scheduling : a real-world business application’, in 30th European Conference on Operational Research, Dublin, Ireland, 23-26 June 2019.
P. Fusek and A. Klinkert, “Airport ground staff scheduling : a real-world business application,” in 30th European Conference on Operational Research, Dublin, Ireland, 23-26 June 2019, 2019.
FUSEK, Peter und Andreas KLINKERT, 2019. Airport ground staff scheduling : a real-world business application. In: 30th European Conference on Operational Research, Dublin, Ireland, 23-26 June 2019. Conference presentation. 2019
Fusek, Peter, and Andreas Klinkert. 2019. “Airport Ground Staff Scheduling : A Real-World Business Application.” Conference presentation. In 30th European Conference on Operational Research, Dublin, Ireland, 23-26 June 2019.
Fusek, Peter, and Andreas Klinkert. “Airport Ground Staff Scheduling : A Real-World Business Application.” 30th European Conference on Operational Research, Dublin, Ireland, 23-26 June 2019, 2019.


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