A Web-Based Decision Support System for the Multiple Capacitated Facility Location Problem

2014 ◽  
pp. 34-44 ◽  
Author(s):  
Jason Papathanasiou ◽  
Nikolaos Ploskas ◽  
Nikolaos Samaras
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Facility Location ◽  
Support System ◽  
Location Problem ◽  
Facility Location Problem ◽  
Web Based ◽  
Capacitated Facility Location Problem ◽  
Capacitated Facility Location

A simple and effective genetic algorithm for the two-stage capacitated facility location problem

2014 ◽  
Vol 75 ◽  
pp. 200-208 ◽  
Author(s):  
Diogo R.M. Fernandes ◽  
Caroline Rocha ◽  
Daniel Aloise ◽  
Glaydston M. Ribeiro ◽  
Enilson M. Santos ◽  
...  
Keyword(s):  
Genetic Algorithm ◽  
Facility Location ◽  
Location Problem ◽  
Facility Location Problem ◽  
Two Stage ◽  
Capacitated Facility Location Problem ◽  
Capacitated Facility Location

An Interactive Spatial Decision Support System Enabling Co-Located Collaboration using Tangible User Interfaces for the Multiple Capacitated Facility Location Problem

2015 ◽  
Vol 7 (2) ◽  
pp. 15-28 ◽  
Author(s):  
Nikolaos Ploskas ◽  
Ioannis Athanasiadis ◽  
Jason Papathanasiou ◽  
Nikolaos Samaras
Keyword(s):  
Decision Support ◽  
User Interfaces ◽  
Location Problem ◽  
Facility Location Problem ◽  
Geographical Information ◽  
Spatial Decision Support System ◽  
Tangible User Interfaces ◽  
Spatial Decision Support ◽  
Capacitated Facility Location Problem ◽  
Capacitated Facility Location

The Multiple Capacitated Facility Location Problem (MCFLP) is well-known and studied in the international literature optimization problem. The geographical information data of the enterprises' locations are usually either ignored by the modeler or entered manually in these systems. In this paper, a spatial Decision Support System (DSS) is designed and implemented enabling co-located collaboration using tangible user interfaces through a tabletop. The location of the enterprises and the demand nodes can be added with the use of interactive Google Maps. The DSS extracts the geographical information of the selected locations, find the distances between them and executes a dynamic approximation algorithm for this problem. The interactive spatial DSS has been implemented using Java, TUIO protocol and Google Maps. The tabletop offers a user-friendly interface that can be manipulated with human fingers and fiducials.

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