Applied p-median and p-center algorithms for facility location problems
Facility location problems with the objective to minimize the sum of the setup cost and transportation cost are studied in this paper. The setup and transportation costs are considered as a function of the number of opened facilities. Three methods are introduced to solve the problem. The facility l...
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th-cmuir.6653943832-450352018-01-24T06:04:26Z Applied p-median and p-center algorithms for facility location problems Sittipong Dantrakul Chulin Likasiri Radom Pongvuthithum Facility location problems with the objective to minimize the sum of the setup cost and transportation cost are studied in this paper. The setup and transportation costs are considered as a function of the number of opened facilities. Three methods are introduced to solve the problem. The facility location model with bounds for the number of opened facility is constructed in this work. The relationship between setup cost and transportation cost is studied and used to build these methods based on greedy algorithm, p-median algorithm and p-center algorithm. The performance of the constructed methods is tested using 100 random data sets. In addition, the networks representing the road transportation system of Chiang Mai city and 5 provinces in Northern Thailand are illustrated and tested using all presented methods. Simulation results show that the method developed from greedy algorithm is suitable for solving problems when the setup cost is higher than transportation cost while the opposite cases are more efficiently solved with the method developed by the p-median problem. © 2013 Elsevier Ltd. All rights reserved. 2018-01-24T06:04:26Z 2018-01-24T06:04:26Z 2014-06-15 Journal 09574174 2-s2.0-84891685564 10.1016/j.eswa.2013.11.046 https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84891685564&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/45035 |
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Facility location problems with the objective to minimize the sum of the setup cost and transportation cost are studied in this paper. The setup and transportation costs are considered as a function of the number of opened facilities. Three methods are introduced to solve the problem. The facility location model with bounds for the number of opened facility is constructed in this work. The relationship between setup cost and transportation cost is studied and used to build these methods based on greedy algorithm, p-median algorithm and p-center algorithm. The performance of the constructed methods is tested using 100 random data sets. In addition, the networks representing the road transportation system of Chiang Mai city and 5 provinces in Northern Thailand are illustrated and tested using all presented methods. Simulation results show that the method developed from greedy algorithm is suitable for solving problems when the setup cost is higher than transportation cost while the opposite cases are more efficiently solved with the method developed by the p-median problem. © 2013 Elsevier Ltd. All rights reserved. |
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Journal |
author |
Sittipong Dantrakul Chulin Likasiri Radom Pongvuthithum |
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Sittipong Dantrakul Chulin Likasiri Radom Pongvuthithum Applied p-median and p-center algorithms for facility location problems |
author_facet |
Sittipong Dantrakul Chulin Likasiri Radom Pongvuthithum |
author_sort |
Sittipong Dantrakul |
title |
Applied p-median and p-center algorithms for facility location problems |
title_short |
Applied p-median and p-center algorithms for facility location problems |
title_full |
Applied p-median and p-center algorithms for facility location problems |
title_fullStr |
Applied p-median and p-center algorithms for facility location problems |
title_full_unstemmed |
Applied p-median and p-center algorithms for facility location problems |
title_sort |
applied p-median and p-center algorithms for facility location problems |
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2018 |
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https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84891685564&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/45035 |
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