Open Access Open Access  Restricted Access Subscription or Fee Access

Robustness as a Method of Airline Pro-Active Disruption Management


(*) Corresponding author


Authors' affiliations


DOI: https://doi.org/10.15866/irease.v8i4.7545

Abstract


Disruptions in operations cost airlines millions of Euro every year and might also lead to passenger migration toward competing service providers or event other means of transportation. For years now operation research has been supplying airlines with dedicated disruption management tools to minimize the aftermath of a disruption and help recover from the irregular operation. Nonetheless, previous decade brought a new heading of the research studying methods of pro-active approach to disruptions known as robust planning, partly supported by the development in hardware technologies and software solutions, which enabled this concept to penetrate through the complexity of airline operations. We bring on overview of airline disruption management, the pro-active approach of robust planning as well as review of recent research on airline robustness.
Copyright © 2015 Praise Worthy Prize - All rights reserved.

Keywords


Disruption Management; Robust Planning; Airline Operations

Full Text:

PDF


References


Clausen, J. et al. (2010) Disruption management in the airline industry — Concepts, models and methods. Computers and Operations Research. 37 (5). p. 809-821
http://dx.doi.org/10.1016/j.cor.2009.03.027

Teodorovic, D. (1985) A Model for Designing the Meteorological most reliable Airline Schedule. European Journal of Operational Research. 21 (2). p. 156-164.
http://dx.doi.org/10.1016/0377-2217(85)90027-x

Teodorovic, D. & Gubernic, S. (1984) Optimal dispatching strategy on an airline network after a schedule perturbation. European Journal of Operational Research. 15 (2). p. 178-182.
http://dx.doi.org/10.1016/0377-2217(84)90207-8

Teodorovic, D. & Stojkovic, G. (1990) Model for Operational Daily Airline Scheduling. Transportation Planning and Technology. 14 (4). p. 273-285.
http://dx.doi.org/10.1080/03081069008717431

Teodorovic, D. & Stojkovic, G. (1995) Model to Reduce Airline Schedule Disturbances. Journal of Transportation Engineering. 121 (4). p. 324-331.
http://dx.doi.org/10.1061/(asce)0733-947x(1995)121:4(324)

Kohl, N. et al. (2007) Airline disruption management – Perspectives, experiences and outlook. Journal of Air Transport Management. 13 (3). p. 149-162.
http://dx.doi.org/10.1016/j.jairtraman.2007.01.001

Wieland, A. &Wallenburg, C.M. (2012) Dealing with supply chain risks: Linking risk management practices and strategies to performance. International Journal of Physical Distribution and Logistics Management. 42 (10). p. 887-905.
http://dx.doi.org/10.1108/09600031211281411

Lempert, R. J. & Collins, M. T. (2007) Managing the Risk of Uncertain Threshold Response: Comparison of Robust, Optimum, and Precautionary Approaches. Risk Analysis. 27 (4). p. 1009–1026.
http://dx.doi.org/10.1111/j.1539-6924.2007.00940.x

Lan, S., Clarke, J.-P. & Barnhart, C. (2006) Planning for Robust Airline Operations Optimizing Aircraft Routings and Flight Departure Times to Minimize Passenger Disruptions. Transportation Science. 40 (1). p. 15-28.
http://dx.doi.org/10.1287/trsc.1050.0134

Jin, H. (1998) Designing Robust Railroad Blocking Plans (Doctoral dissertation). Retrieved from MIT Libraries. (http://hdl.handle.net/1721.1/50477)

Lan, S. (2003) Planning for Robust Airline Operations: Optimizing Aircraft Routings and Flight Departure Times to Achieve Minimum Passenger Disruptions (Doctoral dissertation). Retrieved from MIT Libraries. (http://hdl.handle.net/1721.1/17568)

Shaefer, A. J. et al. (2005) Airline crew scheduling under uncertainty. Transportation Science. 39 (3). p. 340-348.
http://dx.doi.org/10.1287/trsc.1040.0091

Yen, J. W. & Birge, J. R. (2006) A stochastic programming approach to the airline crew scheduling problem. Transportation Science. 40 (1). p. 3-14.
http://dx.doi.org/10.1287/trsc.1050.0138

Gao, C., Johnson, E. L. & Smith, B. C. (2009) Integrated airline fleet and crew robust planning. Transportation Science. 43 (1). p. 2-16.
http://dx.doi.org/10.1287/trsc.1080.0257

Weide, O., Ryan, D. M. & Ehrgott, M. (2010) An iterative approach to robust and integrated aircraft routing and crew scheduling. Computers and Operations Research. 37 (5). p. 833-844.
http://dx.doi.org/10.1016/j.cor.2009.03.024

Cadarso, L. & Marín, Á. G. (2011) Integrated robust airline schedule development. Procedia - Social and Behavioral Sciences. 20. p.1041-1050.
http://dx.doi.org/10.1016/j.sbspro.2011.08.113

EUROCONTROL. PERFORMANCE REVIEW COMMISSION (2004) Evaluating the true cost to airlines of one minute of airborn or ground delay. Brussels: Eurocontrol. (Final Report)

Ageeva, Y. (2000) Approaches to Incorporating Robustness into Airline Scheduling (Master Thesis). Retrieved from MIT Libraries. (http://hdl.handle.net/1721.1/37308)

Shebalov, S. & Klabjan, D. (2006) Robust airline crew pairing: Move-up crews. Transportation Science. 40 (3), p. 300-312.
http://dx.doi.org/10.1287/trsc.1050.0131

Smith, B. C. & Johnson, E. L. (2006) Robust airline fleet assignment: Imposing station purity using station decomposition. Transportation Science. 40 (4), p. 494-516.
http://dx.doi.org/10.1287/trsc.1060.0153

Rosenberger, J. M., Johnson, E. L. & Nemhauser, G. L. (2004) A robust fleet-assignment model with hub isolation and short cycles. Transportation Science. 38 (3), p. 357-368.
http://dx.doi.org/10.1287/trsc.1030.0038

Kang, L. S. (2004) Degradable Airline Scheduling: an Approach to Improve Operational Robustness and Differentiate Service Quality (Doctoral dissertation). Retrieved from MIT Libraries. (http://hdl.handle.net/1721.1/17659)

Ball, M. et al. (2007) Chapter 1 Air Transportation: Irregular Operations and Control. Handbooks in Operations Research and Management Science. 14. p. 1-67.
http://dx.doi.org/10.1016/s0927-0507(06)14001-3

Clausen, J. (2007) Disruption Management in Passenger Transportation – From Air to Tracks. Open Access Series in Informatics. 7. p. 30-47.


Refbacks

  • There are currently no refbacks.


Please send any question about this web site to info@praiseworthyprize.com
Copyright © 2005-2024 Praise Worthy Prize