TY - JOUR ID - 3861 TI - Solving a multi-objective hierarchical location model for the healthcare problem considering congestion by LP-metric and augmented epsilon-constraint approaches JO - Journal of Quality Engineering and Production Optimization JA - JQEPO LA - en SN - AU - Davoodi, Ali AU - Ghodratnama, Ali AU - Mohammadi, Mohammad AD - Department of Industrial Engineering, Faculty of Engineering, Kharazmi University, Tehran, Iran Y1 - 2022 PY - 2022 VL - 7 IS - 2 SP - 60 EP - 92 KW - Hierarchical Location KW - Queue Theory KW - Multi-Objective KW - Augmented epsilon-Constraint KW - LP-metric KW - Uncertainty DO - 10.22070/jqepo.2022.15563.1217 N2 - This paper addresses optimal locating healthcare facilities problem regarding the essential role of these systems on expense and equity at the strategic level to decision-makers. As a result, a multi-objective model with a hierarchical structure and congestion consideration is proposed for the location issue, which is the main contribution of this study. A mixed-integer non-linear programming (MINLP) model is developed to reduce overall system expenses, such as setup, operating, travel costs, and total waiting time at facility levels, while concurrently maximizing the number of covered patients. Furthermore, two M/M/1/K and M/M/C/K queue systems are utilized at facility levels. Then, two LP-metric and Augmented epsilon-constraint methods are implied. Several examples are conducted and evaluated using statistical tests and the TOPSIS approach to assess the performance of the solution strategies. After that, a sensitivity analysis is carried out. The findings indicate that the proposed model may be used as a tool to assist decision-makers in the design of multi-level healthcare facilities.  UR - https://jqepo.shahed.ac.ir/article_3861.html L1 - https://jqepo.shahed.ac.ir/article_3861_2588f126db4b7f0d013a0dad319689f2.pdf ER -