Location-allocation approaches for hospital network planning under uncertainty
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Publication:300066
DOI10.1016/j.ejor.2014.07.024zbMath1338.90221OpenAlexW2118287786WikidataQ57526650 ScholiaQ57526650MaRDI QIDQ300066
Ana Maria Mestre, Mónica Duarte Oliveira, Ana Paula F. D. Barbosa-Póvoa
Publication date: 23 June 2016
Published in: European Journal of Operational Research (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.ejor.2014.07.024
Management decision making, including multiple objectives (90B50) Discrete location and assignment (90B80)
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Cites Work
- Unnamed Item
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- Organizing hospitals into networks: a hierarchical and multiservice model to define location, supply and referrals in planned hospital systems
- Closest assignment constraints in discrete location problems
- Forecast horizons and dynamic facility location planning
- Facility location models for distribution system design
- An optimization model for the design of a capacitated multi-product reverse logistics network with uncertainty
- Planning sustainable community health schemes in rural areas of developing countries
- Facility location and supply chain management. A review
- Multiobjective programming and planning
- Use of location-allocation models in health service development planning in developing nations
- A hierarchical model for the location of perinatal facilities in the municipality of Rio de Janeiro
- Location analysis: a synthesis and survey
- Strategic facility location: A review
- Location of preventive health care facilities
- A stochastic approach to a case study for product recovery network design
- Design and planning of supply chains with integration of reverse logistics activities under demand uncertainty
- A hierarchical location model for public facility planning
- A stochastic programming approach for supply chain network design under uncertainty
- Robust Convex Optimization
- Inequalities for Stochastic Linear Programming Problems
- Deployment of rural health facilities in a developing country
- Locational analysis: highlights of growth to maturity
- One hundred years of Operational Research in Health—UK 1948–2048
- The Hierarchical Service Location Problem
- A Dual-Based Procedure for Dynamic Facility Location
- A Dual-Based Procedure for Stochastic Facility Location
- Closest assignment constraints and location models: Properties and structure
- α-Reliable p-minimax regret: A new model for strategic facility location modeling
- Exact Solution to a Location Problem with Stochastic Demands
- Introduction to Stochastic Programming
- Health network mergers and hospital re-planning
- Multicriteria Optimization
- The Location of Emergency Service Facilities
- Les problématiques de l'aide à la décision : vers l'enrichissement de la trilogie choix-tri-rangement
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