Rolling stock wheels eventually show, soon or later, geometry defects, cracks, fatigue, flaking, wear, etc. These defects induce an additional stress in both, wheels and rail tracks which in turn tend to decrease the infrastructure life time.This paper presents an on-line monitoring system installed at Estarreja (Portugal north rail track network) able to detect the approximation to the measure zone, identify the vehicle (through a RFID tag), measure the dynamic strain of the tracks, the environment temperature, the speed and direction of the wind. Based on these data, it is estimated the weight (at a stop) applied to each wheel and the asymmetry of the weight distribution. This demo will show how to access remotely to the system to get the data, and how to process/presenting it.
Quality tools utilization is a reality in several industry segments, including automotive. Its adoption comes from the business needs of more robust and reliable process, promoting actions that reduce deviations and losses related to rework, through teamwork activities and easy visualization graphic tools that reach all operation levels. This case study found the effectiveness of quality tools application on an engine factory with the target to solve issues related to identification issue and increase process traceability through a Kaizen activity, where during a discussion were utilized some quality tools such as Pareto Analysis, Ishikawa diagram, 5 Whys, 5W1H and brainstorming. As results, it was possible to reach more than 50% evolution on the engines identification inconsistencies indicator. At the end of the study, it was found too additional benefits that came from a cross-functional team with several departments from the studied factory, such as paper waste reduction and simple automation tool application within logistic process, items that align the production process to the market demand of paperless concept application and increase the process automation level.
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