Globalization and client demands result in the need for investments for the survival of the companies. Forestharvest represents the highest costs and losses of wood production. Quality function deployment (QFD) isrecommended to achieve quality by detecting customer needs. Thus, this study aimed to determine the variablesthat influence quality costs in the mechanized harvest to reach the quality control of forest activity. The researchwas developed in a company located in the State of Santa Catarina, Brazil. The variables that influence qualitycosts in four categories (evaluation, prevention, internal and external flaws) were identified. The QFD methodwas used to translate the needs of internal and external customers (critical success factors) of mechanizedharvesting activities into measurable technical characteristics (variables that influence quality costs),determining the weight for each relationship and, consequently, the balance of the categories, besides thecorrelations of the variables evaluated as strong, medium, weak, and non-existent. Among the 29 variablesidentified, 18 consisted of evaluation and prevention, representing the relative weights of 37.17% and 26.49%,respectively, and 11 represented internal and external flaws, with values of 26.57% and 9.73%, respectively.The correlation matrix found 334 correlation of the 406 cells: 195 (58%) strong, 86 (26%) medium, and 53(16%) weak. In conclusion, the company must improve process quality by investing in evaluation andprevention aimed at reducing non-conformities and expansion of revenues.
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