scholarly journals Local Search Heuristics for k-Median and Facility Location Problems

2004 ◽  
Vol 33 (3) ◽  
pp. 544-562 ◽  
Author(s):  
Vijay Arya ◽  
Naveen Garg ◽  
Rohit Khandekar ◽  
Adam Meyerson ◽  
Kamesh Munagala ◽  
...  
Keyword(s):  
Local Search ◽  
Facility Location ◽  
Location Problems ◽  
Facility Location Problems ◽  
Local Search Heuristics ◽  
Search Heuristics

Local search heuristic for k-median and facility location problems

2001 ◽  
Author(s):  
Vijay Arya ◽  
Naveen Garg ◽  
Rohit Khandekar ◽  
Kamesh Munagala ◽  
Vinayaka Pandit
Keyword(s):  
Local Search ◽  
Facility Location ◽  
Location Problems ◽  
Search Heuristic ◽  
Facility Location Problems ◽  
Local Search Heuristic

Local search heuristics for the mobile facility location problem

2015 ◽  
Vol 62 ◽  
pp. 210-223 ◽  
Author(s):  
Russell Halper ◽  
S. Raghavan ◽  
Mustafa Sahin
Keyword(s):  
Local Search ◽  
Facility Location ◽  
Location Problem ◽  
Facility Location Problem ◽  
Local Search Heuristics ◽  
Search Heuristics

Analysis of a Local Search Heuristic for Facility Location Problems

2000 ◽  
Vol 37 (1) ◽  
pp. 146-188 ◽  
Author(s):  
Madhukar R. Korupolu ◽  
C.Greg Plaxton ◽  
Rajmohan Rajaraman
Keyword(s):  
Local Search ◽  
Facility Location ◽  
Location Problems ◽  
Search Heuristic ◽  
Facility Location Problems ◽  
Local Search Heuristic

Local search approximation algorithms for the sum of squares facility location problems

2019 ◽  
Vol 74 (4) ◽  
pp. 909-932
Author(s):  
Dongmei Zhang ◽  
Dachuan Xu ◽  
Yishui Wang ◽  
Peng Zhang ◽  
Zhenning Zhang
Keyword(s):  
Approximation Algorithms ◽  
Local Search ◽  
Facility Location ◽  
Sum Of Squares ◽  
Location Problems ◽  
Facility Location Problems

Integration of AHP-QFD for selecting facility location

2015 ◽  
Vol 22 (3) ◽  
pp. 411-425 ◽  
Author(s):  
Rajesh Chadawada ◽  
Ahmad Sarfaraz ◽  
Kouroush Jenab ◽  
Hamid Pourmohammadi
Keyword(s):  
Facility Location ◽  
Solution Process ◽  
Pairwise Comparison ◽  
Integrated Approach ◽  
Point Of View ◽  
Location Problems ◽  
Analytic Hierarchy ◽  
Content Type ◽  
Facility Location Problems ◽  
Managerial Experience

Purpose – The purpose of this paper is to describe and implements an analytic hierarchy process (AHP)-QFD model for selecting the best location from an organization point of view which picks the site with the best opportunity requirements. Integration of AHP-QFD process gives us a new approach to assist organizations through observing various factors and selecting the best location among different alternatives. This approach uses AHP method to match the preferences required by decision makers and these preferences are applied to the characteristics of QFD. The model fundamental requirement are perfect potential locales and the areas are contrasted and both quantitative and qualitative elements to permit directors to join managerial experience and judgment in the answer process. The AHP-QFD model is also applied on a case study to illustrate the solution process. Design/methodology/approach – The integration of AHP and QFD is used to analyze available options and select the best alternative. This can be done by ranking each criterion through a pairwise comparison. Given collected data, the QFD approach is used to find the capability of each criterion. Findings – Integration of AHP-QFD is used to select the best alternative in facility location. This integrated approach can be best used in dealing with facility location problems. Originality/value – The developed AHP-QFD model in facility location problems, facilitates the inclusion of market criteria and decision maker opinion into the traditional cost function, which has been mainly distance base in the literature.

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