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A Two-Stage scenario-based robust optimization Model and a Column-Row Generation Method for Integrated Aircraft Maintenance-Routing and Crew Rostering

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Computer Modeling in Engineering & Sciences 2024年第11期141卷 1275-1304页

作者： Khalilallah Memarzadeh Hamed Kazemipoor Mohammad Fallah Babak Farhang Moghaddam Department of Industrial Engineering Central Tehran BranchIslamic Azad UniversityTehran***Iran Institute for Management and Planning Studies Tehran***Iran

Motivated by a critical issue of airline planning process,this paper addresses a new two-stage scenario-based robust optimization in operational airline planning to cope with uncertainty and possible flight *** the route network scheme and generated flight timetables,aircraft maintenance routing and crew scheduling are critical factors in airline planning and operations cost *** study considers the simultaneous assignment of aircraft fleet and crew to the scheduled flight while satisfying a set of operational constraints,rules,and *** multiple locations for airline maintenance and crew bases,we solve the problem of integrated Aircraft Maintenance Routing and Crew Rostering(AMRCR)to achieve the minimum airline *** real challenge to the efficiency of the planning results is the possible disruptions in the initial scheduled *** to the fact that disruption scenarios are expressed discretely with a specified probability,and we provide adjustable decisions under disruption to deal with this disruption risk,we provide a Two-Stage scenario-based robust optimization(TSRO)*** this model,here-and-now or first-stage variables are the initial resource ***,to adapt itself to different disruption scenarios,the model considers some adjustable variables,such as the decision to cancel the flight in case of disruption,as wait-and-see or second-stage *** the complexity of integrated models,and the scenario-based decomposable structure of the TRSO model to solve it with better computational performance,we apply the column and row generation(CRG)method that iteratively considers the disruption *** numerical results confirm the applicability of the proposed TSRO model in providing the AMRCR problem with an integrated and robust solution with an acceptable level of computational *** evaluate the proposed TSRO model,which solves the AMRCR problem in an integrated an

关键词： Aircraft maintenance routing crew scheduling rostering uncertainty,scenario-based robust optimization column and row generation

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