Application of ABC classification, EOQ, FUZZY AHP, time series models to improve order fulfillment in a trading company of household appliances

• Autores: Valdivia Seminario, Carlos, Marin Becerra, Fiorella Esther
• Formato: tesis de grado
• Fecha de Publicación: 2025
• Institución: Universidad de Lima
• Repositorio: ULIMA-Institucional
• Lenguaje: inglés
• OAI Identifier: oai:repositorio.ulima.edu.pe:20.500.12724/23117
• Enlace del recurso: https://hdl.handle.net/20.500.12724/23117
• Nivel de acceso: acceso abierto
• Materia: Pendiente; https://purl.org/pe-repo/ocde/ford#2.11.04

Most SMEs do not survive more than five years in the Peruvian market and one of the main reasons is the inefficient logistics administration and inventory control. This represents a serious problem because these businesses play a fundamental role in the growth of the country’s economy and trade. Therefore, this research focuses on the analysis of 4 engineering tools applied integrally to improve order fulfillment of a trading company of household appliances. This model makes use of tools such as: ABC classification, time series models, fuzzy AHP and EOQ. After model validation, it was observed that order fill rate increased from 80,40% to 95,61%, demonstrating the positive impact that could be generated for the business.