A fuzzy solution approach with genetic algorithm for a new fuzzy queue multi-objective locating model with the possibility of creating congestion for health centers

Parisa Eslami () and Amir Ali Mirbaha ()

International Journal of Innovation in Engineering, 2021, vol. 1, issue 2, 1-12

Abstract: Health authorities have always faced the challenge of organizing health-related processes. One of the most important processes is locating health centers, clinics, hospitals, etc. Is. With increasing demand, efforts have been made to increase the efficiency of existing systems and the use of new efficient systems (their type of facilities and location) by health managers. Therefore, the use of new and efficient scientific methods in the direction of health planning has always been of interest to managers and researchers in this field. Considering the huge costs of establishing health centers and their importance, this important issue has been taken into consideration. Accordingly, in this paper, we have presented a multi-objective locating model with maximum coverage. In this model, the distance of centers from demand points, demand rates, and service rates are expressed as triangular fuzzy numbers and also queue theory has been used to improve the quality of the system.

Keywords: Maximum Coverage Allocation Location Model; Queuing Theory; Fuzzy Sets Theory; Congestion System (search for similar items in EconPapers)
Date: 2021
References: Add references at CitEc
Citations:

Downloads: (external link)
https://ijie.ir/index.php/ijie/article/view/16/46 (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:bao:ijieis:v:1:y:2021:i:2:p:1-12:id:16

Access Statistics for this article

International Journal of Innovation in Engineering is currently edited by Mohammad Ebrahim Sadeghi

More articles in International Journal of Innovation in Engineering from International Scientific Network (ISNet)
Bibliographic data for series maintained by International Scientific Network (ISNet) ().