Paper played a crucial role in the history of the development of human society. Even in current times in the modern world, with Tablet, eBook readers and smart phones, the use of paper is still unavoidable. The wood needed for the production of the paper is provided by cutting down trees; hence, paper production has a cost to the environment. Recently, new technology has been developed which uses limestone instead of wood as the main material for paper production. This technology is environmentally friendly compared to the traditional paper-making technology. Choosing a suitable location for construction of such paper production plant based on different factors affecting paper quality is of great importance. To choose the desired location of such a plant, it is proposed to use a combination of Monte Carlo, and Analytical Hierarchic Process approaches. In this way, in the search area, there is a distribution of rates for each pixel instead of a single rate which allows determining the appropriate location for different confidence levels. The proposed method has been applied on Bijar, one of the cites of Kurdistan province in Iran, and a suitable location of the paper production plant is highlighted for various levels of confidence.
