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Facility Location
Published in Susmita Bandyopadhyay, Production and Operations Analysis, 2019
Facility location problem deals with formulating, modeling, and finding solutions to the location problem. In 1909, the study on Location Theory started when Alfred Weber tried to find warehouse location such that the distance between the warehouse and its customers is minimum (Farahani and Hekmatfar, 2009). Then in 1964, Hakimi (1964) attracted the attention of researchers and practitioners of Location Theory. Facility location and layout problems are very close concepts although there are significant differences in between the two concepts. The facilities that are to be located are quite different in size for facility layout problems as compared to facility location problems. Besides the interactions among the facility in case of facility location problem may happen that is not the case for facility layout problems.
Shortest path problems
Published in V. K. Balakrishnan, Network Optimization, 2019
Many social and industrial organizations are often faced with the problem of locating public facilities such as hospitals, schools and fire stations so as to serve the needs of the community as economically and as efficiently as possible. A facility location problem is a problem in which a decision has to be made regarding the exact location of a facility in the community with this optimality criterion in mind. Many such location problems can be modeled as network optimization problems where the location of a facility could be at one or more vertices of the network.
Modeling and Simulation Tools for Mobile Ad Hoc Networks
Published in Jonathan Loo, Jaime Lloret Mauri, Jesús Hamilton Ortiz, Mobile Ad Hoc Networks, 2016
Kayhan Erciyes, Orhan Dagdeviren, Deniz Cokuslu, Onur Yılmaz, Hasan Gumus
The IS structure is used in ad hoc networks for facility location and backbone formation. The facility location problem covers the optimal placement of facilities in order to minimize the related cost. The selected nodes for IS may communicate with each other by increasing their transmission range to deliver and route the data from the nodes not in the IS. This example also covers the backbone formation operation, which is the virtual path between the selected nodes. The selected nodes may be cluster heads if network is clustered.
A data analytic-based logistics modelling framework for E-commerce enterprise
Published in Enterprise Information Systems, 2023
Abhishek Verma, Yong-Hong Kuo, M Manoj Kumar, Saurabh Pratap, Velvet Chen
In the descriptive analytics, it is found that four of the states are devoid of any sellers, while there are a total of 803 orders from all the states as seen from the data of previous years. The distance through which customers get their orders ranged from 74.7 to 2225.74 miles. Therefore, this is a direct call for the need of sellers in the four states. The facility location problem is a part of prescriptive analytics related to optimal placement of facility to reduce transportation and facilities cost, which can contribute to improving performance. The facility location of each is suggested by calculating the mean of location determinants of all the customer locations of previous data. Thus, we found four optimal locations for sellers in the states AL, TO, AP and RR. Figure 17 and Figure 18 shows the plot of states devoid of any sellers and suggested optimal location of sellers in the four states respectively. Table 4 displays the latitude and longitude of the suggested facility locations. Figure 19 is made using Tableau 2019.2. It gives an insight into the range of distance that can be lessened with the installation of facility locations for sellers. The distances have reduced by a range of 9.7 miles to 2199.5 miles.
A general corridor method-based approach for capacitated facility location
Published in International Journal of Production Research, 2020
Facility location problems aim at finding the best location for a set of facilities to be used to serve a set of customers at minimum cost. In an attempt to cover different strategic and operational issues, a growing number of models for facility location have been proposed. The prevalent approach in the literature is to address specific variants of the facility location problems, to capture specific issues arising in the underlying real-world application. Typically, an ad-hoc algorithm, specifically designed for that variant of the facility location problem, which exploits the mathematical properties of the problem, is proposed and tested. Extending an approach that successfully tackles a variant of the facility location problem to other variants is not straightforward, and sometimes altogether impossible, due to different underlying mathematical properties of the different versions of the problem.
Designing a manufacturing network with additive manufacturing using stochastic optimisation
Published in International Journal of Production Research, 2023
Ramin Ahmed, H. Sebastian Heese, Michael Kay
The facility location problem has been widely studied and is one of the major strategic decisions for optimising a supply chain network. Over the years, researchers have studied various models that incorporate different levels of complexity. While these models are widely used, they fail to capture the supply chain uncertainties. Owen and Daskin (1998) discussed facility location under uncertainty, which was further studied in detail by Snyder (2006) and, more recently, by Correia and Saldanha da Gama (2015).