The material removal rate (MRR) and surface roughness (SR) are the key output measures of wire electrical discharge machining (WEDM). In this paper, the influence of several process parameters, such as the discharge current, pulse interval, open-circuit voltage and servo voltage on the MRR and SR of WEDM, were investigated. Experimental data were initially collected based on the Taguchi method of experimental design. Modelling was carried out using regression analysis and the analysis of variance techniques, and mathematical relationships between the parameters and their related outputs were developed and tested. A Tabu search algorithm was then used to minimize a weighted sum of the outputs that represent different measures of machining quality and determine the optimal set of parameters for any combination of the weighting factors. The final results present the optimized MRR and SR of the process and confirm the efficiency and abilities of the model.

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Considering the market need and customer attraction, automakers are always trying to define new projects and present products with new capabilities in the market. That is why a significant part of car companies’ development research is focused on the definition of new projects. Principally, project risk management in car companies is essential and thus given special attention. There are different theories and methods of project risk control. However, since there is complete awareness of FMEA-related issues (Failure Mode and Effects Analysis) in automotive companies due to the establishment of the quality management system, the project's risk analysis using FMEA method to control the risk of automotive industry projects is presented in this paper by a real example. For this purpose, FMEA indicators tables are designed and presented proportionally to project risk management. Results of this research show that using failure mode and effects analysis for project risk management ensures the detection of project's weaknesses and provides a practical model for identification and reduction of project risks.

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