Abstract.As global market competition is getting fiercer, and companies are looking at ways to stay on top, more and more organizations are looking at Lean Manufacturing and lean tools to support them in achieving their goals. Especially within the automotive industry, lean practices are very well received. The speed at which the automotive industry is evolving, especially but not only, in countries like Romania, leads to the need to carefully analyze lean manufacturing concepts, examine them against local production conditions, and to develop and standardize them. One of the most important things to take into consideration here is the application of an adequate problem solving technique to avoid waste. The objective of this research paper lies in analyzing and comparing the problem-solving methods recommended by the Toyota Production System, and to propose their appropriate application at shop floor, in relation to the specific problem type.

Additive manufacturing is a worldwide trend and has been successfully adopted in a wide variety of domains. With applications ranging from automotive, aerospace, military, consumer goods bioprinting and even wearable electronics, the need for trained workforce in additive manufacturing is in high demand. Academia all around the world is adapting to this new trend trying to develop new strategies in delivering suitable competences to their undergraduate, masters’ and PhD students. Such an initiative is the Erasmus+ project TecHUB 4.0 which brings together four complementary universities from Romania, United Kingdom and Poland. The main goal of the project is to bring together professors, industry specialists, researchers, managers, and entrepreneurs to deliver, using methods based on modern teaching technologies, especially on the use of web-based platforms and digital technologies – e-learning and interactive platforms, their knowledge to the young students wishing to become entrepreneurs in the additive manufacturing area. An Open Interactive Platform will be designed to be used equally by companies, by universities and by students, which will aggregate the demand and offer for internships developed in the scope of developing projects anchored in the day-to-day additive manufacturing business activity to solve concrete problems, but at the same time respecting all the economic constraints imposed on a business at beginning of its life.

The present paper proposes a comparative study in order to determine the springback in single point incremental forming process. Using the Ls-Dyna software the process was simulated for one piece in frustum of pyramid shape. In the end of the explicit dynamic analysis, it was run, using the same software, an implicit analysis to determine the springback. For this comparison study we selected four different shell formulations. The results obtained in this simulation were compared with those obtained experimentally for the same part. The experimental research was conducted on a robot and, on the opposite side of the machined surface, an Aramis measuring optical system was placed to allow the online determination of deformations, displacements and thinning of material. Also, using this system, the springback was determined at the end of forming process. The closest values were obtained when using fully integrated formulation with thickness-stretch with 11 integration points on material thickness.

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Material Extrusion has been used extensively as an additive manufacturing technology for a variety of applications like visual models, functional prototypes, tooling components, patterns for castings, and final parts. The current research paper proposes a study on the material type influence on economic objectives in material extrusion fabrication of complex assemblies. Three economic objectives have been analysed, namely, estimated fabrication time, material usage and material cost, whilst two commercial additive manufacturing machines have been considered for the simulation. Cura and ZSuite slicing software were used for the generation of Gcode and project files. Five filaments were selected from the same manufacturer and all components of the selected assembly were included in the analysis. Throughout the study, the additive manufacturing parameters were kept constant, as well as the component layout on the build platform of the two machines. Study results were analysed in correspondence with the manufacturing requirements and the optimum fabrication scenario was selected. Further research includes the analysis of multiple material manufacturers, in order to evaluate the influence of chemical composition on economic outputs.