Pages that link to "Item:Q1046689"

The following pages link to Disruption management in the airline industry-concepts, models and methods (Q1046689):

Displaying 47 items.

• Improvements to a large neighborhood search heuristic for an integrated aircraft and passenger recovery problem (Q297221) (← links)
• A novel passenger recovery approach for the integrated airline recovery problem (Q337498) (← links)
• A column generation post-optimization heuristic for the integrated aircraft and passenger recovery problem (Q342108) (← links)
• Disrupted capacitated vehicle routing problem with order release delay (Q367646) (← links)
• Review of real-time vehicle schedule recovery methods in transportation services (Q490374) (← links)
• An evolutionary approach for the nurse rerostering problem (Q632687) (← links)
• Rescheduling in passenger railways: The rolling stock rebalancing problem (Q983628) (← links)
• The train driver recovery problem-a set partitioning based model and solution method (Q1046697) (← links)
• The dynamic vehicle rescheduling problem (Q1642794) (← links)
• Preemptive rerouting of airline passengers under uncertain delays (Q1652495) (← links)
• A stochastic optimization approach to shift scheduling with breaks adjustments (Q1738827) (← links)
• Disruption recovery at airports: integer programming formulations and polynomial time algorithms (Q1744246) (← links)
• A perturbation matheuristic for the integrated personnel shift and task re-scheduling problem (Q1749483) (← links)
• Disruption management in vehicle routing and scheduling for road freight transport: a review (Q1752346) (← links)
• Comments on: ``Disruption management in vehicle routing and scheduling for road freight transport: a review'' (Q1752348) (← links)
• Real-time freight locomotive rescheduling and uncovered train detection during disruption (Q1926901) (← links)
• Airline disruption management: a literature review and practical challenges (Q2027001) (← links)
• Simultaneous node and link districting in transportation networks: model, algorithms and railway application (Q2030544) (← links)
• Disruption recovery at airports: ground holding, curfew restrictions and an approximation algorithm (Q2059190) (← links)
• Managing rail-truck intermodal transportation for hazardous materials with random yard disruptions (Q2070761) (← links)
• Airline OR innovations soar during COVID-19 recovery (Q2120130) (← links)
• An iterative cost-driven copy generation approach for aircraft recovery problem (Q2140176) (← links)
• Rescheduling production and outbound deliveries when transportation service is disrupted (Q2184098) (← links)
• Sustainable trade promotion decisions under demand disruption in manufacturer-retailer supply chains (Q2195989) (← links)
• Decision on risk-averse dual-channel supply chain under demand disruption (Q2204912) (← links)
• An exact approach for the personnel task rescheduling problem with task retiming (Q2242295) (← links)
• Dynamic aircraft recovery problem -- an operational decision support framework (Q2297579) (← links)
• An integrated decision support tool for airlines schedule recovery during irregular operations (Q2455641) (← links)
• Constraint-specific recovery network for solving airline recovery problems (Q2654390) (← links)
• Real-time personnel re-scheduling after a minor disruption in the retail industry (Q2664293) (← links)
• Railway disruption management: designing bus bridging services under uncertainty (Q2668706) (← links)
• A matheuristic for the robust integrated airline fleet assignment, aircraft routing, and crew pairing problem (Q2669651) (← links)
• Integration of turnaround and aircraft recovery to mitigate delay propagation in airline networks (Q2669705) (← links)
• Aircraft Rescheduling with Cruise Speed Control (Q2931703) (← links)
• Uncertainty feature optimization: An implicit paradigm for problems with noisy data (Q3008922) (← links)
• An overview of the issues in the airline industry and the role of optimization models and algorithms (Q3515492) (← links)
• A Novel Rescheduling Algorithm for the Airline Recovery with Flight Priorities and Airport Capacity Constraints (Q5024910) (← links)
• A Comparison of Recovery Strategies for Crew and Aircraft Schedules (Q5232828) (← links)
• Disruption management in flight gate scheduling (Q5422016) (← links)
• Optimization in liner shipping (Q5892394) (← links)
• Optimization in liner shipping (Q5915966) (← links)
• Integrated aircraft and passenger recovery with cruise time controllability (Q5963099) (← links)
• Model‐based solution approach for a short‐term flight rescheduling problem in aerial passenger transportation to maritime units (Q6060665) (← links)
• Coordinating vessel recovery actions: analysis of disruption management in a liner shipping service (Q6109807) (← links)
• Dynamic personnel rescheduling: insights and recovery strategies (Q6547125) (← links)
• A proactive aircraft recovery approach based on airport spatiotemporal network supply and demand coordination (Q6561248) (← links)
• Crew recovery optimization with deep learning and column generation for sustainable airline operation management (Q6658347) (← links)