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

Journal Title: International Journal of Innovation in Engineering (IJIE) - Year 2021, Vol 1, Issue 2

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.

Authors and Affiliations

Parisa Eslami,Amir Ali Mirbaha,

Keywords

Related Articles

Modeling and Solving Flow Shop Scheduling Problem Considering Worker Resource

In this paper, an uninterrupted hybrid flow scheduling problem is modeled under uncertainty conditions. Due to the uncertainty of processing time in workshops, fuzzy programming method has been used to control the parame...

Studying Students' Knowledge of the Benefits, Challenges, and Applications of Big Data Analytics in Healthcare

The purpose of this study was to evaluate the students' familiarity from different universities of Mashhad with the benefits, applications and challenges of Big Data analysis. This is a cross-sectional study that was con...

Provide a model for managing claims regarding the PMBOK standard

Iran is very rich in oil and gas, which is why the Iran government is investing billions of dollars every year in oil and gas facilities to improve the country. The oil and gas refinery construction industry are very com...

Adaptive Project Monitoring and Control with Variable Reviewing Intervals

This paper presents a managerial project control scheme in which the time between the control points is not fixed but instead is a function of the distance between the planned and the current performance levels. Varying...

Development of Technology Identification model focusing on Technology Intelligence and Components and Indicators extracted from Upstream Documents of the Islamic Republic of Iran

The intelligence of science, technology, and innovation in today's world can be very influential. So, making a wrong decision can have irreparable consequences and may even hurt an economy or a country for several years....

Download PDF file
  • EP ID EP696842
  • DOI -
  • Views 91
  • Downloads 0

How To Cite

Parisa Eslami, Amir Ali Mirbaha, (2021). 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. International Journal of Innovation in Engineering (IJIE), 1(2), -. https://europub.co.uk/articles/-A-696842