One of the objectives of project was to identify major process variables impacting the high expenses. Pareto chart for total expenses, Figure 2, shows that the highest impact has labour costs with 42,6%, following by production centre and headquarter costs, but the last two, as well as production service costs, were successfully reduced with internal system reorganization of company [11]. Based on Pareto chart, formed team made decision to analyze and make improvements within labour and tools cost area, which together have amount of 48% of total expenses. Also, there were submitted that quality improvement and reduction of quality costs within process are achievable. The significant improvement could be accomplished by: �Reduction of cycle time, �Reduction of control time, �Reduction of tool costs, and �Minimizing or eliminating scrap.The deburring process for compressor housing no. 434.807 was chosen because Pareto diagram showed that the part number have the biggest volume of production, which was 40 % while the first following, has 15 %. The first undertaken team task was to completion of a thought process map (TMAP), Figure 3 [8]. Team approach and idea how to solve the problem was elaborated through the TMAP. The chosen deburring processes for compressor housing involves following production steps: �Sawing residual of feeding system, �Drilling, �Burrs removal – cleaning bases for clamping on machining area, �Rough grinding – burrs removal in the dividing plain, and �Control – material defects and simulation of machining clamping system. Process map was drawn for all operations in the deburring process, and a list of the input and output variables were completed. The input variables were ranked as, Critical, Noise, Controllable and Standard operating procedures variable and, furthermore, non-value added operations are defined and marked. Team decision was that all variables should be analyzed using a cause and effect matrix to identify the key critical input variables for further study. The product diameter and tube length non-conformance, deformation of parts, quality of surface as well as scrap are evaluated using cause and effect matrix. Each team member filled in a questionnaire scoring influence of input variables on non-conformance and defects. Team decided that the main variables for further analyzing are Grossly burr, Material and Operator from Press operation, Control operation and, Sawing and Drilling operation. Moreover, during period from nine months actual data for observed process were collected and ppm and RTY indices are calculated. As Pareto diagram showed the highest volume of material scrap was in the Press operation because 60 % of scrap was in the direct relationship with removal burr on the press. Also, based on Pareto diagram of material scrap, conclusion was that the Material in the Sawing and Drilling operation has minor impact on the expenses level. So, at the end of this phase, decision was that Press and Control operations should be main objectives of further improvements