One of the main parameters which is helpful for industrial development in each country is land use mapping. With respect to landuse mapping and industrial development strategies, managers as decision-makers can organize the best location for industrial estatesmanufacturing. There are enormous data volume and complex criteria for the site selection of industrial plants that cause much more difficulty for decision making. Accordingly, by the use of GIS as information technology and its analytical capability for decisionmaking optimization, we can overcome these difficulties. GIS analytical functions can answer “What is the optimum solution?” withrespect to the GIS users’ requirements. Overlay is one of the spatial functions that can combine spatial data layers from diverse resources for the site selection applications using integration models. Integration models, based on their implementation methods,are divided in some groups (for example: Boolean operation, Indexing overlay, Fuzzy logic, Genetic algorithm, Weight of evidence,etc.). In this case study, at first, we selected a study area that was convenient for our purpose which was located at the north-west of Iran. Then, effective parameters and criteria were defined for industrial estate site location and corresponsive data layers. Finally, we classified and prepared data layers with respect to main criteria and parameters. By checking the executive routines for different kinds of integration models, we evaluated results of Indexing overlay, Fuzzy logic and Genetic algorithm methods that could be implemented in GIS environment based on the processing time and spatial accuracy which presented some interested models for industrial estate site location

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