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Risk-averse flexible policy on ambulance allocation in humanitarian operations under uncertainty
16 references·0 citing·43 second hop
Risk-averse flexible policy on ambulance allocation in humanitarian operations under uncertainty (2020)Risk-averse flexible policy on ambulance …Ripple effect modelling of supplier disruption: integrated Markov chain and dynamic Bayesian network approach (2019)Ripple effect modelling of su…Optimal design of autonomous vehicle zones in transportation networks (2017)Optimal design of autonomous …Literature review on disruption recovery in the supply chain (2017)Literature review on disrupti…Stochastic optimisation model for integrated decisions on relief supply chains: preparedness for disaster response (2016)Stochastic optimisation model…Emergency medical services and beyond: Addressing new challenges through a wide literature review (2016)Emergency medical services an…A Stochastic Optimization Model for Designing Last Mile Relief Networks (2015)A Stochastic Optimization Mod…Joint location and dispatching decisions for Emergency Medical Services (2013)Joint location and dispatchin…Supermodularity and Complementarity (2011)Supermodularity and Complemen…Solving the dynamic ambulance relocation and dispatching problem using approximate dynamic programming (2011)Solving the dynamic ambulance…Approximate Dynamic Programming for Ambulance Redeployment (2009)Approximate Dynamic Programmi…An analytic finite capacity queueing network model capturing the propagation of congestion and blocking (2008)An analytic finite capacity q…A probabilistic model applied to emergency service vehicle location (2008)A probabilistic model applied…Conditional value-at-risk for general loss distributions (2002)Conditional value-at-risk for…Optimization of conditional value-at-risk (2000)Optimization of conditional v…Solving an ambulance location model by tabu search (1997)Solving an ambulance location…APPLICATION OF AN EXPECTED COVERING MODEL TO EMERGENCY MEDICAL SERVICE SYSTEM DESIGN* (1982)APPLICATION OF AN EXPECTED CO…The Location of Emergency Service Facilities (1971)THE MAXIMAL COVERING LOCATION PROBLEM (1974)A Maximum Expected Covering Location Model: Formulation, Properties and Heuristic Solution (1983)Taxonomic classification of planning decisions in health care: a structured review of the state of the art in OR/MS (2012)A survey of healthcare facility location (2016)Facility Location: A Survey of Applications and Methods (1996)Covering problems in facility location: A review (2011)A dynamic model and parallel tabu search heuristic for real-time ambulance relocation (2001)Regression methods for pricing complex American-style options (2001)Ambulance location and relocation models (2003)Covering models and optimization techniques for emergency response facility location and planning: a review (2011)Network and Discrete Location: Models, Algorithms and Applications. (1997)Staff scheduling and rostering: A review of applications, methods and models (2003)Logistics for Emergency Medical Service systems (2017)Distributionally robust optimization of an emergency medical service station location and sizing problem with joint chance constraints (2018)Recent optimization models and trends in location, relocation, and dispatching of emergency medical vehicles (2018)On the relationship between Nash—Cournot and Wardrop equilibria (1985)Effects of Autonomous Vehicle Ownership on Trip, Mode, and Route Choice (2015)Optimal deployment of autonomous vehicle lanes with endogenous market penetration (2016)Shared versus private mobility: Modeling public interest in autonomous vehicles accounting for latent attitudes (2018)A survey of models and algorithms for optimizing shared mobility (2019)Understanding autonomous vehicles: A systematic literature review on capability, impact, planning and policy (2019)Supply Chain Management: Strategy, Planning and Operations (2000)Supply Chain Management: Strategy, Planning, and Operation (2003)Perspectives in supply chain risk management (2006)Predicting the impacts of epidemic outbreaks on global supply chains: A simulation-based analysis on the coronavirus outbreak (COVID-19/SARS-CoV-2) case (2020)Viability of intertwined supply networks: extending the supply chain resilience angles towards survivability. A position paper motivated by COVID-19 outbreak (2020)International Journal of Production Research (1962)The impact of digital technology and Industry 4.0 on the ripple effect and supply chain risk analytics (2018)Review of quantitative methods for supply chain resilience analysis (2019)Manufacturing and service supply chain resilience to the COVID-19 outbreak: Lessons learned from the automobile and airline industries (2020)OR-methods for coping with the ripple effect in supply chains during COVID-19 pandemic: Managerial insights and research implications (2020)Supply chain disruptions and resilience: a major review and future research agenda (2021)PORTFOLIO SELECTION* (1952)Coherent Measures of Risk (1999)On the coherence of expected shortfall (2002)Spectral measures of risk: A coherent representation of subjective risk aversion (2002)Making and Evaluating Point Forecasts (2011)Lectures on Stochastic Programming (2009)Distributionally Robust Optimization Under Moment Uncertainty with Application to Data-Driven Problems (2010)The Diversity of Modern Capitalism (2003)Putting Auction Theory to Work (2004)Towards a Theory of Ecosystems (2018)
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References

  • 2000Optimization of conditional value-at-risk6,722 cited
  • 2002Conditional value-at-risk for general loss distributions3,847 cited
  • 2011Supermodularity and Complementarity2,138 cited
  • 2017Literature review on disruption recovery in the supply chain706 cited
  • 1997Solving an ambulance location model by tabu search402 cited
  • 2016Emergency medical services and beyond: Addressing new challenges through a wide literature review361 cited
  • 2011Solving the dynamic ambulance relocation and dispatching problem using approximate dynamic programming310 cited
  • 2009Approximate Dynamic Programming for Ambulance Redeployment284 cited
  • 2019Ripple effect modelling of supplier disruption: integrated Markov chain and dynamic Bayesian network approach253 cited
  • 2017Optimal design of autonomous vehicle zones in transportation networks247 cited
  • 2008A probabilistic model applied to emergency service vehicle location220 cited
  • 1982APPLICATION OF AN EXPECTED COVERING MODEL TO EMERGENCY MEDICAL SERVICE SYSTEM DESIGN*186 cited
  • 2015A Stochastic Optimization Model for Designing Last Mile Relief Networks170 cited
  • 2008An analytic finite capacity queueing network model capturing the propagation of congestion and blocking160 cited

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2016
Stochastic optimisation model for integrated decisions on relief supply chains: preparedness for disaster response
149 cited
  • 2013Joint location and dispatching decisions for Emergency Medical Services144 cited
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