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EN
The application of 3D printing technology has been relatively slow in the fashion industry. Both in the fashion industry and in 3D printing, the material used plays a very important role. In this direction, thermoplastic polyurethane (TPU) is one material that has started to grab the attention of researchers, producers, and customers. While many have studied 3D printing technology using thermoplastic polyurethane material in the fashion industry from different perspectives, fewer researchers have addressed the actual adoption of thermoplastic polyurethane based 3D printing in the fashion industry. Thus, the present research has been focused to propose an adoption model for thermoplastic polyurethane based 3D-printed fashion clothes. Factor analysis was conducted to find and analyse the most relevant factors. Further exploratory factor analysis was conducted to test the proposed model. The study proposed a model for adoption based on four factors: motivation to buy, customer attitude, and the challenges and benefits associated with the adoption of thermoplastic polyurethane based 3-D printed fashion clothes.
EN
The analysis of temperatures in the cold store of finished products was performed due to the occurrence of temperature fluctuations. The analysis in the report was conducted using Kruskal-Wallis test, Bartlett test, Nemenyi’s test Statistical analysis of measured values in individual months. The relationship between the temperature in the cold store and the outside air temperature was investigated. Quality tools were also used in the thesis. The causes of temperature fluctuations were determined by Cause-Effect diagnostics. The relationship between the main causes was analyzed with Relation Diagram. Corrective measures were then determined to minimize the temperature fluctuations in the cold store.
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