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Reduce the overall cost of the vehicle and at the same time introduce innovative features to meet the growing costumer demand is one of the challenges noticed on most automotive companies. Due to the falling price of electronics, multimedia and audio features are becoming popular even on A and B entry vehicles. The introduction of multiplex techniques to reduce wiring content is becoming unavoidable and automotive standards like Local Interconnect Network (LIN) and Controller Area Network (CAN) will eventually be introduced on emerging market vehicles. Besides the cost reduction factor, electromagnetic interference (EMI) constraints rises and must be considered during the design of the electrical / electronic architecture (EEA). One of the most common failure mode observed on network systems regarding EMI is the effect known as crosstalk. The crosstalk phenomenon is the undesirable coupling of energy of one line to another, and causes degradation on the data network.

This paper aims to present a productive capacity analysis in a manufacturing assembly line of an automotive industry. To perform this work the main tool used was Computer Simulation, using a software named ProModel, that works on Discrete Event Simulation (DES) and also using Design of Experiments (DOE), with a software named MINITAB. The first task of the project was problem definition followed by the related process mapping. This was the main element to develop the entire model. In validation process it was not used only quantitative methods, but also “hypothesis test” (1 sample-t), which is a quantitative method, using MINITAB. The study object was focused on the first shift and only for the most complex product assembled in the referred line. According to the inputs of the sub processes it was possible to identify those ones with highest potential to impact the output variable (quantity of products assembled).

This paper aims to present an application of some quality tools focused on best concept identification process to meet defined customer requirements in activities of process development in an industry of automotive sector. First of all it was done a literature review in order to clear establish the concepts of the following tools: “voice of the customer”, “affinity diagram”, “pair wise comparison”, “quality function deployment (QFD)” and “Pugh matrix”. After it is presented the application of these tools in activities of technology research of advanced engineering department. The first task was to identify all customers related to the process in study. After this, some interviews were scheduled with them and the entire “voice of customer” was collected. With all this information it was used “affinity diagram” to summarize the inputs and used “pair wise comparison” to prioritize customer needs. To translate voice of customer into measurable parameters it was used QFD.

This paper is about the use of the Six Sigma Methodology, to solve variation problems in the manufacture area, at one of the Delphi Automotive Systems unit that manufacturer electrical harness. The DMAIC framework was followed, the improvements were done, eliminating the rots causes, and the use of Six Sigma methodology, was showed very efficient in solve problems. The methodology power, is in using a structured frame work, the DMAIC (Define-Measure-Analyze-Improve-Control), completing by quality quality tools (Pareto Chart, Five Why's, Cause and Effect Diagram) and statistical analyses, for example: variance analyses, hypotheses tests and Design of Experiments.