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Health Service Network Design: A Robust Possibilistic Approach Publisher



Mousazadeh M1 ; Torabi SA1 ; Pishvaee MS2 ; Abolhassani F3
Authors
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Authors Affiliations
  1. 1. School of Industrial Engineering, College of Engineering, University of Tehran, Tehran, Iran
  2. 2. School of Industrial Engineering, Iran University of Science and Technology, Tehran, Iran
  3. 3. Department of Health Services, National Institute of Health Research, Tehran University of Medical Sciences, Iran

Source: International Transactions in Operational Research Published:2018


Abstract

In this paper, a biobjective mixed-integer nonlinear programming model is developed for a hierarchical three-level health service network design problem, which is then transformed to its linear counterpart. The model aims to minimize the total establishment cost and total weighted distance between patient zones and health facilities simultaneously. In order to cope with inherent epistemic uncertainty in input parameters, four variants of a novel hybrid robust possibilistic programming (HRPP) approach are introduced. Finally, a real case study is provided to illustrate the performance and applicability of the proposed HRPP models in practice. © 2017 The Authors. International Transactions in Operational Research © 2017 International Federation of Operational Research Societies
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