Forecast demand in a pharmaceutical trading company using ABC classification, Holt Winters method and ERP for an efficient business model

• Autores: Trujillo Palacio, Lyssetess, Raymundo Palomino, Anai, Perez Paredes, Maribel, Torres Sifuentes, Carlos
• Formato: artículo
• Fecha de Publicación: 2024
• Institución: Universidad Peruana de Ciencias Aplicadas
• Repositorio: UPC-Institucional
• Lenguaje: inglés
• OAI Identifier: oai:repositorioacademico.upc.edu.pe:10757/676310
• Enlace del recurso: http://hdl.handle.net/10757/676310
• Nivel de acceso: acceso embargado
• Materia: ABC Classification; Demand Forecasting; ERP System; Holt Winters

Pharmaceutical product trading companies generally face difficulties with inventory management due to inaccurate demand forecasts. This is the case with the company under study, which lacks an adequate demand forecasting method, as evidenced by its mean absolute percentage error (MAPE) of 25.65%, indicating the need to improve its demand forecasting method. Given this issue, a methodological design is proposed that integrates ABC classification, aimed at segmenting products according to their economic impact, the Holt Winters forecasting method for better accuracy of demand fluctuations based on seasonality and trend; and in combination with the ERP system for integration and automation, obtaining optimal forecasts and reducing operational time. The application of the proposed design resulted in a significant reduction of MAPE to 2.60% using the Holt Winters forecasting method and in combination with the ERP system to 1.495%. These results demonstrate the effectiveness of the application of the proposed design.