Evolutionary Simulation Optimization of Personnel Scheduling
2014 (Engelska)Ingår i: 12th International Industrial Simulation Conference 2014: ISC'2014 / [ed] Amos Ng; Anna Syberfeldt, Eurosis , 2014, s. 61-65Konferensbidrag, Publicerat paper (Refereegranskat)
Abstract [en]
This paper presents a simulation-optimization system for personnel scheduling. The system is developed for the Swedish postal services and aims at finding personnel schedules that minimizes both total man hours and the administrative burden of the person responsible for handling schedules. For the optimization, the multi-objective evolutionary algorithm NSGA-II is implemented. The simulation-optimization system is evaluated on a real-world test case and results from the evaluation shows that the algorithm is successful in optimizing the problem.
Ort, förlag, år, upplaga, sidor
Eurosis , 2014. s. 61-65
Nyckelord [en]
Simulation, optimization, personnel scheduling, hill climbing, NSGA-II, case study
Nationell ämneskategori
Datavetenskap (datalogi) Maskinteknik
Forskningsämne
Teknik; Produktion och automatiseringsteknik
Identifikatorer
URN: urn:nbn:se:his:diva-9392Scopus ID: 2-s2.0-84922156535ISBN: 978-90-77381-83-0 (tryckt)OAI: oai:DiVA.org:his-9392DiVA, id: diva2:722818
Konferens
ISC'2014, 12th Annual Industrial Simulation Conference, June 11-13, 2014, University of Skövde, Skövde, Sweden
Projekt
Blixtsim
Forskningsfinansiär
KK-stiftelsen2014-06-092014-06-092023-03-23Bibliografiskt granskad