A robust approach for vessel crew scheduling problem
Sucu, Seda and Akartunali, Kerem and Van der Meer, Robert and Leggate, Alexander (2015) A robust approach for vessel crew scheduling problem. In: 27th European Conference on Operational Research (EURO XXVII), 2015-07-12 - 2015-07-15, University of Strathclyde.
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Due to crew costs being a significant proportion of operational costs and sophisticated requirements for crew members’ assignments on a global scale, crew scheduling problems have gained much more importance in the area of scheduling in recent years. However, the literature on crew scheduling covers almost exclusively airline transportation settings whereas there is very limited research in the maritime industry, where sudden changes, uncertainties and the cost resulting from such changes are relatively high. In our study, we have been working on the allocation of crew members to the vessels under uncertainty. In terms of the complexity of rules and regulations, vessel crew scheduling problems have some similarities and some differences with airlines, which need to be taken into account for the optimal assignments. These problems generally have many binary variables even in the deterministic model, and combined with long duty periods and planning horizons, long solution times are common for these problems. We suggest the possible sources of uncertain situations in vessels and discuss robust approaches to deal with the uncertainties of constraints in the scheduling model.
ORCID iDs
Sucu, Seda ORCID: https://orcid.org/0000-0003-1386-728X, Akartunali, Kerem ORCID: https://orcid.org/0000-0003-0169-3833, Van der Meer, Robert ORCID: https://orcid.org/0000-0002-9442-1628 and Leggate, Alexander ORCID: https://orcid.org/0000-0001-6425-557X;-
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Item type: Conference or Workshop Item(Other) ID code: 62408 Dates: DateEvent12 July 2015PublishedSubjects: Social Sciences > Industries. Land use. Labor > Management. Industrial Management Department: Strathclyde Business School > Management Science Depositing user: Pure Administrator Date deposited: 22 Nov 2017 10:31 Last modified: 11 Nov 2024 16:52 Related URLs: URI: https://strathprints.strath.ac.uk/id/eprint/62408