DocumentCode
120705
Title
Finding nearest facility for multiple customers using voronoi diagram
Author
Agarwal, Rohit ; Garg, Deepak
Author_Institution
Comput. Sci. & Eng. Dept., Thapar Univ., Patiala, India
fYear
2014
fDate
21-22 Feb. 2014
Firstpage
641
Lastpage
646
Abstract
Searching for a facility near to many customers is such a problem that even an approximately correct answer can save lot of labor, time and money. A possible solution for decision makers to reach facility approximately nearer to all customers has been discussed. It took time of order O(n log n) as it is based on voronoi diagram of order O(n log n) and its own time is of linear order. The proposed algorithm tackled the problem of finding the nearest facility for multiple customers by considering two criteria. The first one was minimizing the aggregate distances i.e. sum of total distances covered by all the customers. The second one was minimizing the maximum difference i.e. the difference between the farthest customer and the nearest customer. The approach given here has used Plane sweep algorithm or Fortune´s algorithm for voronoi diagram construction algorithm as its base algorithm because it is one the most efficient algorithm known for computing voronoi diagram.
Keywords
computational complexity; computational geometry; decision making; facility location; minimisation; Fortune´s algorithm; O(n log n) time complexity; Plane sweep algorithm; Voronoi diagram; aggregate distance minimization; decision making; farthest customer-nearest customer difference; maximum difference minimization; multiple customers; nearest-facility location; total distances; Aggregates; Algorithm design and analysis; Carbon dioxide; Cities and towns; Companies; Complexity theory; Conferences; Plane sweep or Fortune´s algorithm; facility location; voronoi diagram;
fLanguage
English
Publisher
ieee
Conference_Titel
Advance Computing Conference (IACC), 2014 IEEE International
Conference_Location
Gurgaon
Print_ISBN
978-1-4799-2571-1
Type
conf
DOI
10.1109/IAdCC.2014.6779399
Filename
6779399
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