Analysis and application of sales forecasting and production planning methods for "FITELLA": a healthy product (#1475)

Authors

Silva Abanto, Roger

Aguilar-Figueroa, Karla

Garay-Alfaro, Violeta

Pretel-Leon, Jean, Estudiante Ing. Industrial4; Salazar-Borda Lu

Salazar-Borda, Lucy

Vasquez-Vega, Sharom

Yopla-Linares, Mirian

Abstract

Abstract- Analysis and application of sales forecasting and production planning methods for “FITELLA”: a healthy product. The food industry is a key element not only for its economic impact in different countries, but also for its influence on people's well-being, based on innovation and development of new and healthy products in line with market needs. Consumers increasingly value tasty products, especially if they are natural and organic. In response to this demand, FITELLA was created, made with ingredients such as chickpeas and nuts. It stands out for its high nutritional content and its commitment to consumer health and the promotion of organic agriculture. This study focuses on applying advanced methods, such as linear regression, to project FITELLA's sales in 2024, as well as strategically implementing the Aggregate Production Plan (APP) and the Master Production Plan (MPP). These strategies not only improve resource optimization and lower production costs, but also ensure long-term product sustainability in a competitive market. The research results confirm the effectiveness of linear regression in sales projections, highlighting the PAP for its reduction of inventory costs. Likewise, the PMP allows for flexible planning that improves FITELLA's operational efficiency and its ability to adapt to consumer demands, ensuring its competitiveness in the food and beverage sector.