One of the most challenging issues in multi-objective problems is finding Pareto optimal points. This paper describes an algorithm based on Benders Decomposition Algorithm (BDA) which tries to find Pareto solutions. For this aim, a multi-objective facility location allocation model is proposed. In this case, an integrated BDA and epsilon constraint method are proposed and it is shown that how P...

This paper aims to propose a reliable location-allocation model where facilities are subject to the risk of disruptions. Since service facilities are expected to satisfy random and heavy demands, we model the congested situations in the system within a queuing framework which handles two sources of uncertainty associated with demand and service. To insure the service quality, a minimum limit re...

The appropriate planning of infrastructure protects people’s lives and property. Fire stations are an essential part a city’s they must be precisely located to shorten emergency response times reduce casualties. Recently, the focus city service has shifted from fire suppression technical rescues. We compared spatial distribution rescues at scale show variation in their influences. An integrated...

recently the concept of facility efficiency, which defined by data envelopment analysis (dea), introduced as a location modeling objective, that provides facilities location’s effect on their performance in serving demands. by combining the dea models with the location problem, two types of “efficiencies” are optimized: spatial efficiency which measured by finding the least cost location and al...

Cluster analysis is a useful technique in multivariate statistical analysis. Different types of hierarchical cluster analysis and K-means have been used for data analysis in previous studies. However, the K-means algorithm can be improved using some metaheuristics algorithms. In this study, we propose simulated annealing based algorithm for K-means in the clustering analysis which we refer it a...

Distribution network design as a strategic decision has long-term effect on tactical and operational supply chain management. In this research, a supply chain design problem based on a two level capacity location allocation problem (TLCLAP) is presented. A product must be transported from a set of seaport to meet stores demands, passing out by intermediate warehouses. The objective is to locate...

As the number of users of cloud services increase all over the world, cloud service providers keep deploying geographically distributed data centers more. Since resource capacity of a data center is limited, cloud service providers need to distribute load to data centers. However, when the provider distributes load, SLAs (service level agreements) established with consumers should be guaranteed...