Additive Manufacturing(AM) processes are novel production industrial processes that build components layer by layer which are totally different from old methods, such as separating material (turning, milling, grinding, etc.) and forming (deep drawing, extrusion, etc.). AM processes have been divided into three different categories according to the raw material used in the process. These categories are: Liquid-based systems, Powder-based systems and Solid-based systems. Fused Deposition Modeling (FDM) is a solid-based system that has dramatically changed AM processes due to lower expenses, short build time and ease of usage. In FDM process, a thermoplastic filament is drawn into an extrusion head that heats the material up to its glass transition temperature. The material is extruded onto the work surface in which an initial two-dimensional cross-section is created by movement of the filament relative to the horizontal platform. Due to the material’s temperature (set to a level just above glass transition) it solidifies instantly upon contact with the work piece. As the first two-dimensional cross-section is completed, the work piece shifts down a distance equal to the thickness of the first layer. The stacking of these layers eventually leads to making the part. In this project, this process is made known for public and has had the goal of FDM technology localization in the country. For the first time in Iran, a survey has been conducted on this technology and the technology of making a FDM machine has been codified. Therefore, FDM machine has been installed and run; afterward FDM parameters have been analyzed by carrying out experimental works. Eventually, by considering the abilities of machine, layer thickness, feed rate, fill density, and step-over distance have been selected as effective parameters which affect at built cost. Then by applying Taguchi method, experiments are designed to achieve optimum attitude. At last, the effect of selected parameters on FDM process and cost of product are calculated by quantitative and qualitative results: the quantitative results are achieved by signal to noise (S/N) analysis and analysis of variance (ANOVA) on the data that are results of experimental works; the qualitative results are achieved by magnified images that have been taken from produced parts. Results of experiments showed that layer thickness is the most effective parameter on reducing build cost. However, adaptive layer slicing technique is applied to simulate some kind of models in order to show its effects on decreasing of cost and increasing quality of produced parts. Finally, some useful guidelines are proposed in order to produce parts by FDM process. Keyword: Fused deposition modeling, Additive manufacturing, Taguchi method, Rapid prototyping, Adaptive layer slicing