Open Access Open Access  Restricted Access Subscription Access
Open Access Open Access Open Access  Restricted Access Restricted Access Subscription Access

Optimization Approach to Air Crew Rostering Problem


Affiliations
1 Assistant Professor, Department of Management IILM, New Delhi, India
     

   Subscribe/Renew Journal


The airline crew rostering problem consists of assignment of crews to planned round trips resulting in the construction of personalized monthly crew schedules called rosters. Airline companies have a monthly task of building these rosters for crews available with them. A mixed integer linear programming (MIP) formulation is presented to find an optimal solution. The objective of this formulation is to minimize the crew cost associated with the round trips and the cost of reserve crews, who remain idle throughout the scheduling horizon. Computational experiments were also carried to test the effectiveness of the heuristic for small size problems on randomly generated test data.

Keywords

Airline, Pairing, Revenue, Bid, Cockpit, Weight.
User
Subscription Login to verify subscription
Notifications
Font Size

Abstract Views: 219

PDF Views: 0




  • Optimization Approach to Air Crew Rostering Problem

Abstract Views: 219  |  PDF Views: 0

Authors

Jaideep Gupte
Assistant Professor, Department of Management IILM, New Delhi, India

Abstract


The airline crew rostering problem consists of assignment of crews to planned round trips resulting in the construction of personalized monthly crew schedules called rosters. Airline companies have a monthly task of building these rosters for crews available with them. A mixed integer linear programming (MIP) formulation is presented to find an optimal solution. The objective of this formulation is to minimize the crew cost associated with the round trips and the cost of reserve crews, who remain idle throughout the scheduling horizon. Computational experiments were also carried to test the effectiveness of the heuristic for small size problems on randomly generated test data.

Keywords


Airline, Pairing, Revenue, Bid, Cockpit, Weight.



DOI: https://doi.org/10.17010/pijom%2F2011%2Fv4i4%2F62417