Network flows: theory, algorithms, and applications
Network flows: theory, algorithms, and applications
Benders Decomposition for Simultaneous Aircraft Routing and Crew Scheduling
Transportation Science
Improving Crew Scheduling by Incorporating Key Maintenance Routing Decisions
Operations Research
Computers and Operations Research
A Two-Stage Hybrid Local Search for the Vehicle Routing Problem with Time Windows
Transportation Science
Computers and Operations Research
Computers and Operations Research
Disruption management in the airline industry-Concepts, models and methods
Computers and Operations Research
An iterative approach to robust and integrated aircraft routing and crew scheduling
Computers and Operations Research
A large neighbourhood search approach to the multi-activity shift scheduling problem
Journal of Heuristics
Non-cyclic train timetabling and comparability graphs
Operations Research Letters
A powerful route minimization heuristic for the vehicle routing problem with time windows
Operations Research Letters
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This paper introduces the multi-activity combined timetabling and crew scheduling problem. The goal of this problem is to schedule the minimum number of workers required in order to successfully visit a set of customers characterized by services needed matched against schedule availability. Two solution strategies are proposed. The first is based on mathematical programming whilst the second uses a heuristic procedure in order to reduce computational time. The proposed model combines timetabling with crew scheduling decisions in one mixed integer programming model which considers multiple activities. The algorithms are tested on randomly generated and real instances provided by the Health to School Initiative, a program based at Bogota's local Health Department. The results show that the Initiative can increase its coverage by up to 68% using the proposed heuristic approach as a planning process tool.