We study the location-inventory problem in three-level supply networks. Our model integrates three decisions: the distribution centers location, flows allocation, and shipment sizes. We propose a nonlinear continuous formulation, including transportation, fixed, handling and holding costs, which decomposes into a closed-form equation and a linear program when the DC flows are fixed. We thus dev...

distribution centers (dcs) play important role in maintaining the uninterrupted flow of goods and materials between the manufacturers and their customers.this paper proposes a mathematical model as the bi-objective capacitated multi-vehicle allocation of customers to distribution centers. an evolutionary algorithm named non-dominated sorting ant colony optimization (nsaco) is used as the optimi...

Background: This study aims to evaluate the negative health impacts of exposure to electromagnetic field and to prepare a risk map of two selected call centers. Materials and Methods: Two call centers whose electromagnetic field values were measured by calibrated low high and point frequency measurement device. The measurements were performed by following the EN 50492 Standards. 178 employees ...

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...

In this work, an approach focused on locating and recommending health care centers within a certain range of distance is presented. The proposed approach includes several integration technologies such as location services, mobile devices, social networks, ontologies, and historical statistics about vehicular traffic. KeywoRDS Collaborative Recommender System, Health Services, Location Technique...

Article history: Received 1 September 2013 Received in revised form 6 May 2014 Accepted 7 May 2014 Available online 20 May 2014

Cooperative and gradual covering are two new methods for developing covering location models. In this paper, a cooperative maximal covering location–allocation model is developed (CMCLAP). In addition, both cooperative and gradual covering concepts are applied to the maximal covering location simultaneously (CGMCLP). Then, we develop an integrated form of a cooperative gradual maximal covering ...

Location decision in distribution Centers is often one of the most critical fundamentals in an organization’s success. This paper gathers some recent applications related to DC location decision for general approaches in logistic environment and in supply chain environment. The sight in location variables and methodology also illustrates and guides to future prospects.