Facility Location Problems in the presence of Two-Circular Forbidden Regions with Euclidean Distance Norm

OPSEARCH ◽  
1998 ◽  
Vol 35 (4) ◽  
pp. 360-372 ◽  
Author(s):  
B. Satyanarayana ◽  
P. S. N. Raju ◽  
K. V. L. P. Raju
Keyword(s):  
Facility Location ◽  
Euclidean Distance ◽  
Location Problems ◽  
Facility Location Problems ◽  
Forbidden Regions

scholarly journals Simple Single and Multi-Facility Location Models using Great Circle Distance

2021 ◽  
Vol 37 ◽  
pp. 01001
Author(s):  
A Baskar
Keyword(s):  
Facility Location ◽  
Operations Research ◽  
Euclidean Distance ◽  
Great Circle ◽  
Location Problems ◽  
Optimal Point ◽  
Facility Location Problems ◽  
The Earth ◽  
Facility Location Models ◽  
Great Circle Distance

Facility location problems (FLP) are widely studied in operations research and supply chain domains. The most common metric used in such problems is the distance between two points, generally Euclidean distance (ED). When points/ locations on the earth surface are considered, ED may not be the appropriate distance metric to analyse with. Hence, while modelling a facility location on the earth, great circle distance (GCD) is preferable for computing optimal location(s). The different demand points may be assigned with different weights based on the importance and requirements. Weiszfeld’s algorithm is employed to locate such an optimal point(s) iteratively. The point is generally termed as “Geometric Median”. This paper presents simple models combining GCD, weights and demand points. The algorithm is demonstrated with a single and multi-facility location problems.

ISO-cost contours to facility location problems in the presence of circular and polygonal forbidden regions

OPSEARCH ◽  
2007 ◽  
Vol 44 (4) ◽  
pp. 304-321
Author(s):  
K. V. L. Raju ◽  
V. Rama Reddy ◽  
B. Satyanarayana ◽  
V. Ramachandra Raju
Keyword(s):  
Facility Location ◽  
Location Problems ◽  
Facility Location Problems ◽  
Forbidden Regions

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.

On Constrained Facility Location Problems

2008 ◽  
Vol 23 (5) ◽  
pp. 740-748 ◽  
Author(s):  
Wei-Lin Li ◽  
Peng Zhang ◽  
Da-Ming Zhu
Keyword(s):  
Facility Location ◽  
Location Problems ◽  
Facility Location Problems
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