Quantitative estimation of demand for conveyor belt supplies

Demand forecasts provides quantitative data to estimate, with a reasonable degree of certainty, customers’ requirements of a company. Applying this tool in manufacturing companies allows them to generate predictions for decision making. Forecasts have a transverse impact on finances, human resources, inventories, and production, among others. In Chile, qualitative models are used to make these estimates based on information from the sales force, customers, or group of experts. This article incorporates three exponential smoothing models into these estimates. Data is available from a manufacturing company (2016 to 2019); it is used to make comparisons and adjustments to select, the best model for each product. Also, a correlation and covariance analysis is carried out between the inputs, to determine the degree of relationship between the products and thus project their demand.

• Autores: Nuñez-Uribe, Carlos; Olmedo, Alexis; RíoS, John; Coronado-Hernandez, Jairo R.; Morillo, Daniel; Gatica, Gustavo; Umaña-Ibáñez, Samir F.; Cabrera, Guillermo
• Tipo de recurso: Article of investigation
• Fecha de publicación: 2022
• Institución: Corporación Universidad de la Costa
• Repositorio: REDICUC - Repositorio CUC
• Idioma: eng
• OAI Identifier: oai:repositorio.cuc.edu.co:11323/10895
• Acceso en línea: https://hdl.handle.net/11323/10895; https://repositorio.cuc.edu.co/
• Palabra clave: Forecast; Demand; Time series; Exponential smoothing; Correlation; Covariance
• Rights: openAccess
• License: Atribución-NoComercial-SinDerivadas 4.0 Internacional (CC BY-NC-ND 4.0)