A Unifying Framework for Public Facility Location Problems—Part 2: Some New Models and Extensions

1981 ◽  
Vol 13 (9) ◽  
pp. 1085-1108 ◽  
Author(s):  
G Leonardi
Keyword(s):  
Mathematical Models ◽  
Facility Location ◽  
General Framework ◽  
Location Problems ◽  
Public Facility ◽  
Service Facility ◽  
Facility Location Problems ◽  
New Models

This second part of the paper describes mathematical models for static, single-service, facility location problems and their possible extensions and improvements. The first part that appeared in the last issue (pages 1001–1028) gave a nontechnical description of the proposed general framework for analyzing location problems.

A Unifying Framework for Public Facility Location Problems—Part 1: A Critical Overview and Some Unsolved Problems

1981 ◽  
Vol 13 (8) ◽  
pp. 1001-1028 ◽  
Author(s):  
G Leonardi
Keyword(s):  
Facility Location ◽  
General Framework ◽  
Location Problems ◽  
Future Research ◽  
Multiple Time ◽  
Public Facility ◽  
Facility Location Problems ◽  
The Public ◽  
Location Task ◽  
Location Models

This paper, a condensed report of the present state of the work in the Public Facility Location Task (formerly the Normative Location Modeling Task) at IIASA, has three main aims: first, to build a general framework for location problems; second, to use this framework to unify existing location models; and, third, to use the framework to develop new, more general, and more meaningful location models. Suggestions are also given on how to introduce multiple services and multiple time periods in location problems. The multiactivity dynamic location models that this perspective generates is the subject of future research in the Public Facility Location Task. This first part of the paper gives a nontechnical description of the proposed general framework for analyzing location problems. The second part will describe mathematical models for static, single-service, facility location problems and their possible extensions and improvements, and will appear in the next issue.

scholarly journals Algorithms for Location Problems Based on Angular Distances

2014 ◽  
Vol 2014 ◽  
pp. 1-12 ◽  
Author(s):  
Lev A. Kazakovtsev ◽  
Predrag S. Stanimirović ◽  
Idowu A. Osinuga ◽  
Mikhail N. Gudyma ◽  
Alexander N. Antamoshkin
Keyword(s):  
Mathematical Models ◽  
Facility Location ◽  
Location Problems ◽  
Distance Metrics ◽  
Facility Location Problems ◽  
Numerical Example ◽  
Analytical Proof ◽  
Manipulator Control ◽  
Single Facility

This paper describes four mathematical models for the single-facility location problems based on four special distance metrics and algorithms for solving such problems. In this study, algorithms of solving Weber problems using four distance predicting functions (DPFs) are proposed in accordance with four strategies for manipulator control. A numerical example is presented in this proposal as an analytical proof of the optimality of their results.

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.

Sign in / Sign up

Export Citation Format

Share Document