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dc.contributor.advisorSgarbossa, Fabio
dc.contributor.authorMagan Dominguez, Marta
dc.date.accessioned2021-09-24T18:18:57Z
dc.date.available2021-09-24T18:18:57Z
dc.date.issued2020
dc.identifierno.ntnu:inspera:57228183:51714525
dc.identifier.urihttps://hdl.handle.net/11250/2781715
dc.description.abstract
dc.description.abstractThe purpose of the project is to contribute to the automated mobile robots' investigation which has been developed for a few decades and it will continue for the next years. The use of robots in the industry as a material handling system solution has evolving thanks to the research done but there is room for improvement. In this paper, the research will be focused on food industry material handling due to the lack of investigation done in the last few years. The typical material handling system used in this industry is constituted by basic technology such as pallet jacks, pallet trucks, conveyors, grips, and so on, which facilitates the work done by the operators. Nowadays, the industry has introduced the mobile robots as a new alternative for material handling activities and more different tasks. By using the knowledge developed by previous research, this TFM searches possible improvement in the material handling system through the implementation of mobile robots. In particular, This TFM aims to understand the benefits and constraints of the implementation of automated robots and analyze whether this technology meets the food factory requirements. The development of this project involves two systematic literature reviews and a case study. This last one is use to better understand the topic and to validate the conclusions reached with the literature review too. Results from the literature review suggest the possibility to implement AMRs or AGVs technologies. The simulations carried out in the case study finally suggest that the best scenario is where AMR technology is introduced.
dc.language
dc.publisherNTNU
dc.titleEvaluation of automating the material handling system in a Confectionery Factory
dc.typeMaster thesis


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