A biobjective hierarchical location-allocation approach for the regionalization of maternal-neonatal care

Date

2022-02-01

Author

Karakaya, Sakir
Meral, Fatma Sedef

Metadata

Show full item record

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Item Usage Stats

84
views

0
downloads

This study proposes a biobjective location-allocation model for the regionalization of maternal-neonatal care to increase both accessibility and cost-efficiency by minimizing total transportation costs to public in accessing services and total service costs to government simultaneously. The model is characterized by a three-level successively inclusive hierarchy with an integrated flow and bidirectional referrals. Since it is difficult to solve for the optimum in a reasonable time, three heuristics are developed: top-down heuristic, novel top-down heuristic, and Lagrangean relaxation. A significant result obtained from the computational study is that at least one of the heuristics provides high-quality solutions in reasonable computational time for any level of the policy variable in weighting the two objectives. To demonstrate its practicality, the proposed hierarchical locationallocation model is applied to a case study based on the southeastern Anatolian region of Turkey.

Subject Keywords

Maternal-neonatal, Health care, Hierarchical location-allocation, p-median, Top-down heuristic, Lagrangean relaxation, PERINATAL FACILITIES, SERVICE NETWORKS, MODEL, DECOMPOSITION, MUNICIPALITY, HOSPITALS, DESIGN

URI

https://hdl.handle.net/11511/102247

Journal

SOCIO-ECONOMIC PLANNING SCIENCES

DOI

https://doi.org/10.1016/j.seps.2021.101093

Collections

Department of Industrial Engineering, Article

Suggestions

OpenMETU
Core

A maximal covering location model in the presence of partial coverage Karasakal, O; Karasakal, Esra (2004-08-01) The maximal covering location problem (MCLP) addresses the issue of locating a predefined number of facilities in order to maximize the number of demand points that can be covered. In a classical sense, a demand point is assumed to be covered completely if located within the critical distance of the facility and not covered at all outside of the critical distance. Since the optimal solution to a MCLP is likely sensitive to the choice of the critical distance, determining a critical distance value when the c...
A multi-objective genetic algorithm for a bi-objective facility location problem with partial coverage Karasakal, Esra (2016-04-01) In this study, we present a bi-objective facility location model that considers both partial coverage and service to uncovered demands. Due to limited number of facilities to be opened, some of the demand nodes may not be within full or partial coverage distance of a facility. However, a demand node that is not within the coverage distance of a facility should get service from the nearest facility within the shortest possible time. In this model, it is assumed that demand nodes within the predefined distanc...
A partial coverage hierarchical location allocation model for health services Karasakal, Orhan; Karasakal, Esra; Toreyen, Ozgun (2023-01-01) We consider a hierarchical maximal covering location problem (HMCLP) to locate health centres and hospitals so that the maximum demand is covered by two levels of services in a successively inclusive hierarchy. We extend the HMCLP by introducing the partial coverage and a new definition of the referral. The proposed model may enable an informed decision on the healthcare system when dynamic adaptation is required, such as a COVID-19 pandemic. We define the referral as coverage of health centres by hospitals...
A genetic algorithm for the location-routing problem with time windows Özgönenç, Hande; Meral, Fatma Sedef; Department of Industrial Engineering (2006) The emphasis on minimizing the logistics costs to decrease overall system costs has led the researchers to consider the interdependencies between the decisions of locating facilities and planning the routes from those facilities. The location-routing problems considering this issue are the subject of this thesis study. A two-level hierarchical distribution system is considered in which goods are delivered from the sources (plants) to the facilities (depots) and then from the facilities to the customers. The...
A Decision support system for performance assessment and improvement in PPP healthcare projects Öngel, Begüm; Tanyer, Ali Murat; Dikmen Toker, İrem; Department of Building Science in Architecture (2018) With the objectives including the reduction of the whole life costs, increasing construction and operation efficiencies and enhancing service quality, Public-Private Partnership (PPP) schemes have been used for healthcare projects across the world over the past two decades. These large-scale projects comprise a long-term partnership period between the public and private sector stakeholders, with a great deal of costs, risks and opportunities. Considering the large number of the parties involved and the inhe...

Citation Formats

S. Karakaya and F. S. Meral, “A biobjective hierarchical location-allocation approach for the regionalization of maternal-neonatal care,” SOCIO-ECONOMIC PLANNING SCIENCES, vol. 79, pp. 0–0, 2022, Accessed: 00, 2023. [Online]. Available: https://hdl.handle.net/11511/102247.