The competitive facility location problem under disruption risks

Two players sequentially locate a fixed number of facilities, competing to capture market share. Facilities face disruption risks, and each customer patronizes the nearest operational facility, regardless of who operates it. The problem therefore combines competitive location and location with disruptions. This combination has been absent from the literature. We model the problem as a Stackelberg game in which the leader locates facilities first, followed by the follower, and formulate the leader’s decision problem as a bilevel optimization problem. A variable neighborhood decomposition search heuristic which includes variable fixing and cut generation is developed. Computational results suggest that high quality solutions can be found quickly. Interesting managerial insights are drawn.

[1]  Yury Kochetov,et al.  Heuristic and Exact Methods for the Discrete (r |p)-Centroid Problem , 2010, EvoCOP.

[2]  D. Serra,et al.  Competitive location in discrete space , 1994 .

[3]  Richard L. Church,et al.  The maximal covering location problem , 1974 .

[4]  Ahmad Makui,et al.  A robust model for a leader–follower competitive facility location problem in a discrete space , 2013 .

[5]  Jesse R. O'Hanley,et al.  Designing robust coverage networks to hedge against worst-case facility losses , 2008, Eur. J. Oper. Res..

[6]  Artur Alves Pessoa,et al.  A branch-and-cut algorithm for the discrete (r∣p)-centroid problem , 2013, Eur. J. Oper. Res..

[7]  Deniz Aksen,et al.  A bilevel partial interdiction problem with capacitated facilities and demand outsourcing , 2014, Comput. Oper. Res..

[8]  Lawrence V. Snyder,et al.  Reliability Models for Facility Location: The Expected Failure Cost Case , 2005, Transp. Sci..

[9]  Zuo-Jun Max Shen,et al.  An Efficient Approach for Solving Reliable Facility Location Models , 2013, INFORMS J. Comput..

[10]  Gilbert Laporte,et al.  Competitive Location Models: A Framework and Bibliography , 1993, Transp. Sci..

[11]  Oded Berman,et al.  Facility Reliability Issues in Network p-Median Problems: Strategic Centralization and Co-Location Effects , 2007, Oper. Res..

[12]  Lixin Miao,et al.  A heterogeneous reliable location model with risk pooling under supply disruptions , 2016 .

[13]  Wayne F. Bialas,et al.  Two-Level Linear Programming , 1984 .

[14]  Yanfeng Ouyang,et al.  A Continuum Approximation Approach to Competitive Facility Location Design Under Facility Disruption Risks , 2013 .

[15]  Nenad Mladenovic,et al.  Variable neighbourhood decomposition search for 0-1 mixed integer programs , 2009, Comput. Oper. Res..

[16]  L. Snyder Introduction to Facility Location , 2011 .

[17]  Gilbert Laporte,et al.  Sequential location problems , 1997 .

[18]  Maria Paola Scaparra,et al.  Analysis of facility protection strategies against an uncertain number of attacks: The stochastic R-interdiction median problem with fortification , 2011, Comput. Oper. Res..

[19]  Stephan Dempe,et al.  Foundations of Bilevel Programming , 2002 .

[20]  Giovanni Rinaldi,et al.  Heuristic and Exact Methods for the Open Stacks Problems , 2008 .

[21]  D. Serra,et al.  Market capture by two competitors: The pre-emptive location problem , 1994 .

[22]  Zuo-Jun Max Shen,et al.  The Reliable Facility Location Problem: Formulations, Heuristics, and Approximation Algorithms , 2011, INFORMS J. Comput..

[23]  Günther R. Raidl,et al.  A hybrid genetic algorithm with solution archive for the discrete $$(r|p)$$(r|p)-centroid problem , 2015, J. Heuristics.

[24]  Jonathan F. Bard,et al.  The Mixed Integer Linear Bilevel Programming Problem , 1990, Oper. Res..

[25]  Frank Plastria,et al.  Discrete models for competitive location with foresight , 2008, Comput. Oper. Res..

[26]  Pierre Hansen,et al.  Variable neighborhood search and local branching , 2004, Comput. Oper. Res..

[27]  Yanfeng Ouyang,et al.  Reliable Facility Location Design Under the Risk of Disruptions , 2010, Oper. Res..

[28]  Pierre Hansen,et al.  Variable neighbourhood search: methods and applications , 2010, Ann. Oper. Res..

[29]  Ying Zhang,et al.  A New Heuristic Formulation for a Competitive Maximal Covering Location Problem , 2018, Transp. Sci..

[30]  Charles Audet,et al.  New Branch-and-Cut Algorithm for Bilevel Linear Programming , 2004 .

[31]  Jesse R. O'Hanley,et al.  Optimizing system resilience: A facility protection model with recovery time , 2012, Eur. J. Oper. Res..

[32]  E. O. Roxin Optimization Theory and Applications (Lamberto Cesari) , 1984 .

[33]  Dominik Kress,et al.  Sequential competitive location on networks , 2013, Eur. J. Oper. Res..

[34]  Matteo Fischetti,et al.  Local branching , 2003, Math. Program..

[35]  Y. Kochetov,et al.  A Hybrid Memetic Algorithm for the Competitive p-Median Problem , 2009 .

[36]  Yanfeng Ouyang,et al.  Competitive Supply Chain Network Design under Resource Constraints and Market Equilibrium , 2015 .

[37]  Nenad Mladenovic,et al.  Fast metaheuristics for the discrete (r|p)-centroid problem , 2014, Autom. Remote. Control..

[38]  Claude Le Pape,et al.  Exploring relaxation induced neighborhoods to improve MIP solutions , 2005, Math. Program..

[39]  Christian Blum,et al.  Evolutionary computation in combinatorial optimization : 13th European Conference, EvoCOP 2013, Vienna, Austria, April 3-5, 2013 : proceedings , 2013 .

[40]  Paulo A. V. Ferreira,et al.  System Modelling and Optimization under Vector-Valued Criteria , 1992, 1992 American Control Conference.

[41]  Nenad Mladenović,et al.  New variable neighbourhood search based 0-1 MIP heuristics , 2014 .

[42]  Hans-Christoph Wirth,et al.  Multiple voting location and single voting location on trees , 2007, Eur. J. Oper. Res..

[43]  J. Henry,et al.  System Modelling and Optimization: Proceedings of the 16th IFIP-TC7 Conference, Compiègne, France, July 5-9, 1993 , 1994, System Modelling and Optimization.

[44]  Mark S. Daskin,et al.  Network and Discrete Location: Models, Algorithms and Applications , 1995 .

[45]  Ted K. Ralphs,et al.  A Branch-and-cut Algorithm for Integer Bilevel Linear Programs , 2009 .

[46]  Robert E. Bixby,et al.  MIP: Theory and Practice - Closing the Gap , 1999, System Modelling and Optimization.

[47]  Chase Rainwater,et al.  Vulnerability assessment and re-routing of freight trains under disruptions: A coal supply chain network application , 2014 .

[48]  Pierre Hansen,et al.  Variable Neighborhood Decomposition Search , 1998, J. Heuristics.

[49]  T. Drezner,et al.  Competitive supply chain network design: An overview of classifications, models, solution techniques and applications , 2014 .

[50]  Pierre Hansen,et al.  Variable neighborhood search: Principles and applications , 1998, Eur. J. Oper. Res..

[51]  Amanda J. Schmitt,et al.  OR/MS models for supply chain disruptions: a review , 2014 .