GROUPING GENETIC ALOGIRHTM IN GIS: A FACILITY LOCATION MODELLING

Jasmine rice ‘Hom Mali’ in Thai is one of the major commodities in Thailand. Farmers in Northeast region, who are main producers, have to face with several problems causing lost from their crop. One of causes is lacking of accessibility to market offering satisfactory price of Hom Mali leading to be poor logistics system in the area. In this study, therefore, facility location model will be developed in term of profitability optimisation using Genetic Algorithm technique. Tradeoffs between farmer revenues and transport costs are used in order to finding optimal logistics network configuration. The algorithm will be used a given existing conditions to estimate the optimal configuration of facility in study area. Number, location, and capacity of facilities are suggested to provide levels of optimal logistics system in the study area.

[1]  Emanuel Falkenauer,et al.  Genetic Algorithms and Grouping Problems , 1998 .

[2]  Maro Vlachopoulou,et al.  Geographic information systems in warehouse site selection decisions , 2001 .

[3]  M A Taylor,et al.  Location modelling: grouping genetic algorithm using a geographic information systems platform , 2004 .

[4]  Christopher R. Houck,et al.  Comparison of genetic algorithms, random restart and two-opt switching for solving large location-allocation problems , 1996, Comput. Oper. Res..

[5]  Robert T. Sumichrast,et al.  Impact of the replacement heuristic in a grouping genetic algorithm , 2003, Comput. Oper. Res..

[6]  Siddhartha S. Syam.  A model and methodologies for the location problem with logistical components , 2002, Comput. Oper. Res..

[7]  Luiz Moutinho,et al.  Solving marketing optimization problems using genetic algorithms , 1995 .

[8]  J. Rowley,et al.  A case for spatial decision‐support systems in retail location planning , 1995 .

[9]  Enrique López González,et al.  Genetic optimisation of a fuzzy distribution model , 2000 .

[10]  Andreas Drexl,et al.  Facility location models for distribution system design , 2005, Eur. J. Oper. Res..

[11]  Asoo J. Vakharia,et al.  Integrated production/distribution planning in supply chains: An invited review , 1999, Eur. J. Oper. Res..

[12]  R Raicu,et al.  An evaluation of logistics network modelling tools available to South Australian companies , 2004 .

[13]  M. Hesse,et al.  The transport geography of logistics and freight distribution , 2004 .