Examinando por Materia "Production chain"

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    Ítem
    Análisis de perspectivas de la cadena productiva del sector agrotextil sobre el cultivo de algodón en los Llanos Orientales de Colombia
    (Universidad EAFIT, 2023) Mantilla Salazar, Juan David; Botero Santos, Adolfo; Sanders, Arie
    In the 70s, the cultivation of cotton reached the second export crop in Colombia. This helped the strengthening in the following years of the textile industry consuming more than 100 thousand tons of cotton in 2005. Today, only 35% of the cotton needed to supply the industrial demand of around 40 thousand tons is planted in the country. To reverse this trend, the producers guild is planning to increase crops in the south eastern plains of Colombia: a region with enormous potential for agricultural production at scale but with very little history in cotton. This work compiles the opinion of experts from the cotton’s value chain with the intention of analyzing their perspectives on the viability of cotton cultivation in the eastern plains of Colombia. In general, to boost cultivation in the region, different strategies must be implemented over time. In the short term, coordinated work between actors in the production chain will be vital; in the medium term it will be necessary to strengthen technical assistance strategies to face difficulties of agronomic adaptation of the technological package; and in the long term, the region must have a production management plan so as not to depend on internal demand and thus take advantage of the benefits of economies of scale in crop production. Without detailing the risks and other difficulties discussed in the text, there is a general consensus among the experts regarding the possibility of drawing a long-term route to produce competitive, quality and even cotton with some added value for sustainable production in the eastern plains of Colombia.
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    Ítem
    Slow Fashion : realidad y retos de las marcas en Colombia
    (Universidad EAFIT, 2023) Restrepo Correa, Laura Camila; Kerguelen Correa, Cynthia Elena; Ceballos Ochoa, Lina María
    The fashion industry is one of the most polluting and one of the best known for its poorly paid and undervalued workforce. For decades, work has been done to be more aware of the care of resources and the environment, which is why different movements were born worldwide to reduce negative impacts; one of them is known as slow fashion. This study pretends to understand this movement in Colombia, its main objective was to determine the challenges faced by Colombian brands that have slow fashion as their philosophy. To do this, it was essential to identify the Colombian brands that currently have this model as a philosophy; define the characteristics they must have and study the advantages and disadvantages of this model. In this qualitative research, data was collected through observation and short interviews with owners of Colombian sustainable fashion brands. In general terms, the study showed that brands have a similar concept regarding slow fashion and its characteristics, alluding to the fact that this model is defined as the marketing of high-quality garments with timeless designs, always based on sustainability from all its fronts, such as waste management, use of environmentally friendly raw material and good working conditions for their employees. It was found that for some brands, the issue of sustainability is part of a commercial and marketing strategy. In contrast, for others, it is a true philosophy that aligns with all their purposes and actions. On the other hand, the main challenges that these brands mentioned are related to the high costs of raw materials and little knowledge about the importance of sustainability from consumers who do not value this type of initiative. These findings allowed us to have a real vision of the challenges that brands currently face when implementing this business model and based on these, some recommendations were made so that current and future fashion brands can mitigate these challenges and implement a slow fashion model with a better understanding of the environment.