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Type: Artigo de periódico
Title: Improving Railway Crew Scheduling Quality: A Hybrid Approach
Author: Goncalves Rodrigo
Lagrimante Romilto
Gomide Fernando
Abstract: Crew management is a major problem for transportation systems such as airlines, railways and public bus transportation. Advances on scheduling methodologies and decision support systems have been substantial in the last years, but they still need improvement, especially from the computational efficiency and practical point of view. This paper presents a hybrid approach based on search strategies, mathematical programming and fuzzy sets to obtain crew timetables without a rostering step. The approach takes past workload and individual needs into account. This improves timetable quality and employees satisfaction. Computational results and experience with actual data and real world situations are reported.
Editor: IEEE, Piscataway, NJ, United States
Rights: fechado
Identifier DOI: 
Date Issue: 2000
Appears in Collections:Unicamp - Artigos e Outros Documentos

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