Optimizing soybean seed production: integrating DMAIC and roguing for enhanced efficiency

Purpose This study aims to investigate the effectiveness of applying continuous improvement techniques, specifically DMAIC (Define, Measure, Analyze, Improve and Control), in optimizing the roguing process in soybean seed production. Design/methodology/approach The authors adopt the action research methodology in a global agriculture organization. The authors apply the DMAIC to evaluate the effectiveness the roguing technique in reducing reworked fields through data evaluation through statistical analysis. Findings The results showed a substantial reduction in hectares requiring rework through roguing. This reduction amounted to an impressive 61% during the season, after the culmination of all planned improvement initiatives. Furthermore, a parallel decrease in roguing costs, amounting to an astonishing 82% during subsequent seasons following implementation, underlines the tangible benefits of the actions undertaken. Research limitations/implications The limitations of this action research are linked to the uniqueness of the organization studied, exclusively reflecting its operational and structural reality. It is important to highlight that the data analyzed in this study are not longitudinal, that is, they do not cover multiple time periods over the years. Practical implications The achievements can be applied by companies in the agricultural sector, allowing them to identify critical areas that require intervention to optimize operational efficiency and the quality of the final product. Originality/value The originality of this paper lies in the innovative application of continuous improvement techniques to optimize the roguing process in soybean seed production. By applying DMAIC with statical analysis, the authors evaluate the effectiveness of the roguing process in reducing reworked fields.