This work aims to implement and analyze the effect of the Single Minute Exchange of Die (SMED) implementation in the bean packaging operation in a company in east Minas Gerais, Brazil. Design/Methodology/Approach: The research methodology used was action research. Two cycles of action research were conducted; the first to carry out phase one of SMED, and the second to execute phases two and three. Originality/Research gap: There are few studies on the application of Lean Manufacturing tools in agroindustry. Some works present case studies, mainly in the food supply chain aiming to fill this gap. Regarding SMED applied in agribusiness, no work was found. Key statistical results: The implementation of this methodology allowed the reduction of setup time by around 58%, the distance travelled by operators in the process by approximately 50%, in addition to gains in a production capacity of 14%. Practical Implications: It is concluded that the application of the methodology caused an increase in the company’s productivity, as it was possible to obtain gains in productive capacity without changing the amount of hours worked or the number of employees involved in the production process. Limitations of the investigation: This methodology was applied only once and the challenges encountered were not documented.

Medir o desempenho das organizações é essencial para que se adequem ao mercado e se mantenham competitivas. Os KPI´s, do inglês Key Performance Indicator, são métricas geradas a partir de certas especificidades, capazes de prover aos gestores informações concisas acerca do desempenho, desde os níveis operacionais mais básicos até aos níveis estratégicos da organização. Para o setor comercial de uma empresa de crédito de precatórios, tal métrica pode ser empregada para prever o volume de contratos que podem ser firmados ao final das negociações. A presente pesquisa teve por objetivo desenvolver uma ferramenta gerencial de avaliação do processo de negociação, prevendo-se o volume contratos conclusos, a partir da adoção de um Índice de Performance, construído a partir da metodologia Value Focused Thinking (VFT). A implementação da ferramenta permitiu identificar a proporção de clientes que progrediram à etapa final do processo, atribuir metas de desempenho aos técnicos de vendas, acompanhando essas metas e avaliar, comparativamente, os resultados previstos pelo índice de performance e os realizados pelo setor comercial, sendo considerada um importante evolução estratégica para a organização.

The metalworking industry faces challenges in maintaining process performance due to variables affecting product quality, particularly in processes requiring precise control over machined part finishes. Duplex stainless steels, known for their high strength, work hardening, and low thermal conductivity, pose specific machining challenges that can hinder producing high-quality components and equipment. This study aimed to determine optimal parameters for end milling of duplex stainless steel UNS S32205. Formulated as a combined objective function derived from minimizing the mean square error (MSE) for parameters R_a and ß_f, subject to a common constraint. The optimization was conducted using generalized reduced gradient (GRG). A Pareto frontier was constructed, offering efficient results with R_a = 0.4534 μιη and R_t = 3.2671 μιη for varying weights assigned to R_a and R_t. Adjusting weights in the objective function allowed prioritization based on specific needs. Optimal input parameters were identified as cutting speed (v_c) = 60.79 m/min, feed per tooth (f_z = 0.15 mm/tooth, axial depth of cut (a_p) = 0.90 mm, and radial depth of cut (a_e) = 16.31 mm, simultaneously optimizing both parameters. This approach reduced the mean square error (RMSE), determining roughness R_a and R_t mean and variance, thus improving the machining process. Confirmatory trials using an orthogonal Taguchi arrangement (L9) yielded results within the algorithm's confidence interval. This research offers a robust methodology for optimizing machining parameters, enhancing product quality in the metalworking industry.