Estrategia para mejorar los procesos de alistamiento y despacho en el banco de alimentos de bogotá: métricas, trazabilidad y toma de decisiones basadas en la visualización de datos
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Nonprofit organizations, such as food banks, primarily aim to collect, sort, store, and distribute food to foundations, churches, other NGOs, and social programs. Regarding foundations and social programs, the National Quality of Life Survey highlights that 32.8% of children under the age of five regularly attended care centers (community homes, daycare centers, early childhood development centers, or schools) during the week. This percentage reflects significant attention to early childhood. In this context, the role of a food bank serves as an intermediary between the availability of food that, for various reasons, was not marketed but can be utilized by people facing food insecurity. Through this work, food resources are distributed equitably to disadvantaged communities, ensuring that vulnerable individuals have access to essential food items. The work carried out by the administrative and social teams of the Bogotá Food Bank ensures the reception of donations such as groceries, fruits, vegetables, dairy products, and non-food items. Additionally, the food bank runs an Agricultural Surplus Recovery Program (PREA) and has a dedicated team at Corabastos tasked with recovering products at this location Each process within the food bank is critical to achieving the expected results. When any of these processes experience failures, delays, or fail to meet requirements, a backlog of tasks is generated, which ultimately overloads the picking and dispatch areas, leading to a bottleneck caused by the high volume of work, both current and pending. Moreover, when process activities are not adequately evaluated, complications may arise in the last mile, resulting in non-conformities, returns, and the issuance of credit notes. This document, therefore, develops a methodological structure to evaluate the operational processes within the Bogotá Food Bank. One chapter will define the necessary metrics to assess the productivity and efficiency of the area, alongside identifying information sources. Finally, the aim is to validate the relevance of the obtained data by implementing a tool to facilitate data measurement and visualization. Thus, the document concludes by presenting insights derived from the collected data and their impact on decision-making and the improvement of logistical processes. It proposes changes and enhancements focused on data collection, improving data quality and accuracy, data analysis, and data visualization all underpinned by the proper use of information.
