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A study on maximum covering transportation network design with facility location under uncertainty
16 references·4 citing·35 second hop
A study on maximum covering transportation network design with facility location under uncertainty (2013)A study on maximum covering transportatio…Stochasticp-robust location problems (2006)Stochasticp-robust location p…Facility location under uncertainty: a review (2006)Facility location under uncer…A multiperiod set covering location model for dynamic redeployment of ambulances (2006)A multiperiod set covering lo…A fuzzy multi-objective covering-based vehicle location model for emergency services (2005)A fuzzy multi-objective cover…The gradual covering decay location problem on a network (2003)The gradual covering decay lo…Optimization under uncertainty: state-of-the-art and opportunities (2003)Optimization under uncertaint…A maximal covering location model in the presence of partial coverage (2003)A maximal covering location m…The generalized maximal covering location problem (2002)The generalized maximal cover…Location Problems in the Public Sector (2002)Location Problems in the Publ…Static competitive facility location: An overview of optimisation approaches (2001)Static competitive facility l…An integrated model of facility location and transportation network design (2001)An integrated model of facili…Strategic facility location: A review (1998)Strategic facility location: …Robust Discrete Optimization and Its Applications (1997)Robust Discrete Optimization …Siting Emergency Services (1995)Siting Emergency ServicesAn Overview of Representative Problems in Location Research (1989)An Overview of Representative…THE MAXIMAL COVERING LOCATION PROBLEM (1974)THE MAXIMAL COVERING LOCATION…Disaster relief on destructive transportation networks using a circle-based approach (2020)Disaster relief on destructiv…Optimal distribution of the injured in a multi-type transportation network with damage-dependent travel times: Two metaheuristic approaches (2018)Optimal distribution of the i…Variable neighborhood search based evolutionary algorithm and several approximations for balanced location–allocation design problem (2014)Variable neighborhood search …Heuristic Algorithms for Solving an Integrated Dynamic Center Facility Location - Network Design Model (2014)Heuristic Algorithms for Solv…Optimum Locations of Switching Centers and the Absolute Centers and Medians of a Graph (1964)Stability in Competition (1990)Facility location models for distribution system design (2004)Defining and Estimating a Trading Area (1964)Discrete location theory (1991)Proceedings of the 2002 Winter Simulation Conference (2002)Facility location in humanitarian relief (2008)Covering problems in facility location: A review (2011)Stability in Competition (1929)Location Science Research: A Review (2003)Location analysis: A synthesis and survey (2004)Competitive supply chain network design: An overview of classifications, models, solution techniques and applications (2013)Robust Optimization of Large-Scale Systems (1995)A stochastic programming approach for supply chain network design under uncertainty (2004)Facility location and supply chain management – A review (2008)The Location of Emergency Service Facilities (1971)A Heuristic Program for Locating Warehouses (1976)A Maximum Expected Covering Location Model: Formulation, Properties and Heuristic Solution (1983)Decision-Making in a Fuzzy Environment (1970)Decision Making in a Fuzzy Environment (2007)Introduction to Stochastic Programming (2011)Review of uncertainty-based multidisciplinary design optimization methods for aerospace vehicles (2011)Simulation optimization: a review of algorithms and applications (2015)Supply chain network design under uncertainty: A comprehensive review and future research directions (2017)Optimization of conditional value-at-risk (2000)The Price of Robustness (2004)The design of robust value-creating supply chain networks: A critical review (2009)OR/MS models for supply chain disruptions: a review (2015)Facility location : applications and theory (2001)Chance-Constrained Programming (1959)Network and Discrete Location (1995)Stochastic optimization of medical supply location and distribution in disaster management (2009)A survey of healthcare facility location (2016)Robust Convex Optimization (1998)Shaping the Next One Hundred Years: New Methods for Quantitative, Long-Term Policy Analysis (2003)
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References

  • 1974THE MAXIMAL COVERING LOCATION PROBLEM2,757 cited
  • 1998Strategic facility location: A review1,385 cited
  • 2003Optimization under uncertainty: state-of-the-art and opportunities1,182 cited
  • 1997Robust Discrete Optimization and Its Applications1,182 cited
  • 2006Facility location under uncertainty: a review1,021 cited
  • 1989An Overview of Representative Problems in Location Research538 cited
  • 2006A multiperiod set covering location model for dynamic redeployment of ambulances310 cited
  • 2001Static competitive facility location: An overview of optimisation approaches307 cited
  • 2006Stochasticp-robust location problems267 cited
  • 2002The generalized maximal covering location problem266 cited
  • 2001An integrated model of facility location and transportation network design224 cited
  • 2003A maximal covering location model in the presence of partial coverage210 cited
  • 2003The gradual covering decay location problem on a network197 cited
  • 2005A fuzzy multi-objective covering-based vehicle location model for emergency services190 cited
  • 2002Location Problems in the Public Sector159 cited

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1995
Siting Emergency Services
128 cited

Cited by

  • 2014Variable neighborhood search based evolutionary algorithm and several approximations for balanced location–allocation design problem20 cited
  • 2014Heuristic Algorithms for Solving an Integrated Dynamic Center Facility Location - Network Design Model18 cited
  • 2018Optimal distribution of the injured in a multi-type transportation network with damage-dependent travel times: Two metaheuristic approaches18 cited
  • 2020Disaster relief on destructive transportation networks using a circle-based approach14 cited