Although all aspects of a product design are demanding and need several resources to be completed, Design for X (DfX) represents a series of formal methodologies used to optimize a specific aspect of the product design under consideration. Those DfX tools deal with different stages of the product design and there is considerable gap concerning the package design cycle. The proposed methodology Design for Skin and Shape (DfS&S) is focused on the package design industry and offers significant advantage towards its success. It helps the designers to be focused on shapes that are easily recognized by the customers and then create appropriate graphics for them. Following this approach, it is easier to create an innovative optical identity for the product and its packaging during the conceptual stage. The methodology can reduce the development time of the package, while designers have in mind, from the beginning of the design process, the shape which will guide them to its completion. Following the proposed methodology different packaging designs are presented.
Path planning optimization of mechatronic systems is a very important field of research that has been growing rapidly in recent years. Coordinate measuring machines (CMM), robotic arms, CNC machines, are often using a big amount of points to control the path planning. Within these efforts, some encouraging results are presented in this work on the optimization of path planning. By integrating ant colony techniques into genetic algorithm, path optimization can be reached up to 50% instead of the simple genetic algorithm. At the same time, the calculation of the optimal solution that makes this technique even more efficient is accelerated. From measurements made in a simulation model, reductions in overall trajectories were recorded up to 40% in cases where the number of points exceeded 500 while the optimal path planning time was reduced by up to 20%. In real-system implementation these values are slightly reduced due to the real-time execution of the movements. This integration makes the proposed technique particularly attractive in cases where are path planning between a large number of points and the calculation time is required to be small.
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