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Title: Improvement Model to increase production using forecasting tools and capability analysis at an Industrial Paints Manufacturing Plant
Advisor(s): Flores Pérez, Alberto Enrique
Keywords: Pendiente
OCDE field: https://purl.org/pe-repo/ocde/ford#2.11.04
Issue Date: 2023
Institution: Universidad de Lima
Abstract: The global paint industry has a reach valued at $209.4 billion for this year. At the national level in Peru, this sector represents 1.27% of GDP, so this industry is of utmost relevance since the national per capita consumption is low, therefore, there is a great margin for improvement of this. This article describes the implementation of an improvement model that uses forecasting tools and capabilities coupled with a simulation to increase compliance with paint production, therefore; the central problem is analyzed using the VSM tool, in which the root causes, percentage of value-added and non-added time of the process are identified. After implementation, the model increased compliance with production orders by 26.86%, increased availability of resin input by 27.92, % and decreased cycle times by at least 2.5%.
Discipline: Ingeniería Industrial
Grade or title grantor: Universidad de Lima. Facultad de Ingeniería y Arquitectura
Grade or title: Ingeniero Industrial
Juror: Collao Diaz, Martin Fidel; Flores Pérez, Alberto Enrique; Quiroz Flores, Juan Carlos
Register date: 19-May-2023



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