Uncertain Location of Network Structured Production Units
محورهای موضوعی : Fuzzy Optimization and Modeling JournalAzam Azodi 1 , Jafar Fathali 2 , Mojtaba Ghiyasi 3 , Tahere Sayar 4
1 - Faculty of Mathematical Sciences, Shahrood University of Technology, Shahrood, Iran
2 - Faculty of Mathematical Sciences, Shahrood University of Technology, Shahrood, Iran
3 - Faculty of Industrial Engineering and Management Science, Shahrood University of Technology
4 - Faculty of Mathematical Sciences, Shahrood University of Technology, Shahrood, Iran
کلید واژه: Facility Location Problem, Network DEA, Healthcare, Health Centers, Triangular Fuzzy Numbers,
چکیده مقاله :
Facility location problems are one of the most important issues for healthcare organizations and centers to achieve social welfare and respond to customer needs. Proper distribution of health and treatment facilities in cities is vital to minimize costs and improve the efficiency of health centers. The main contribution of the current article is dealing with the uncertainty issue in the p-median location-efficient problem. In this article, the p-median location problem along with network data envelopment analysis (Network DEA) is used in parallel mode to calculate the efficiency of health and treatment centers. In this issue, health centers are considered as parallel networks with two departments that operate independently. Due to the precision of the input and output values, triangular fuzzy numbers and the α-level fuzzy method have been used. The primary results that consider the uncertainty provide efficient solution and suggestions for the potential location of health centers in our case study.
Facility location problems are one of the most important issues for healthcare organizations and centers to achieve social welfare and respond to customer needs. Proper distribution of health and treatment facilities in cities is vital to minimize costs and improve the efficiency of health centers. The main contribution of the current article is dealing with the uncertainty issue in the p-median location-efficient problem. In this article, the p-median location problem along with network data envelopment analysis (Network DEA) is used in parallel mode to calculate the efficiency of health and treatment centers. In this issue, health centers are considered as parallel networks with two departments that operate independently. Due to the precision of the input and output values, triangular fuzzy numbers and the α-level fuzzy method have been used. The primary results that consider the uncertainty provide efficient solution and suggestions for the potential location of health centers in our case study.
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