A multi-service Healthcare Network Design with Patients' Choice to Exchange between Services
- DOI
- 10.2991/aiie-16.2016.124How to use a DOI?
- Keywords
- healthcare system; multi-service health centers; location problem; queuing theory; utility theory
- Abstract
Efficient location of medical services is an issue of paramount importance in healthcare strategic planning. In this research, a mathematical model is developed for the location of multi-service health centers assuming probabilistic demand and service time. Since patients may be shifted to another service after receiving a service by doctors' order, health system is considered a Jackson queue network. The primary factor contributing to patients' choice of one center over another is their proximity to the center. The proposed model seeks to minimize the demand weighted total distance traveled by patients between their residential areas and health centers and also between health centers on the one hand, and the weighted sum of undesired deviations from standard arrival rates at service stations on the other hand. The location of health centers as well as the type of services they offer and the number of servers at each service station are the main determinants of the proposed model. A GA-based heuristic is developed to solve medium and large instances of the proposed model. For evaluation of the suggested heuristic, computational experiments are performed on a number of test problems.
- Copyright
- © 2016, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Maryam Radman AU - Kourosh Eshghi PY - 2016/11 DA - 2016/11 TI - A multi-service Healthcare Network Design with Patients' Choice to Exchange between Services BT - Proceedings of the 2016 2nd International Conference on Artificial Intelligence and Industrial Engineering (AIIE 2016) PB - Atlantis Press SP - 533 EP - 541 SN - 1951-6851 UR - https://doi.org/10.2991/aiie-16.2016.124 DO - 10.2991/aiie-16.2016.124 ID - Radman2016/11 ER -