Plan agregado de producción para la empresa textil Aubea BS

Abstract

This research focused on analyzing productive planning deficiencies in the textile company "Aubea Bs". The company faces problems with demand adaptation, delivery non-compliance, and inefficient inventory management due to manual production planning methods. The objective of this research is to design an aggregate production plan to improve inventory management and optimize response capacity to market demand. The methodology included 2024 demand analysis through ABC classification, selecting the "Chompas" and "Camisetas" families (65.56% of total sales), time study to establish production standards, and evaluation of 13 forecasting models in Minitab, generating base information to develop aggregate planning strategies. The project development consisted of designing five aggregate production plans with a 12-month time horizon, using Microsoft Excel and integrating operational variables such as overtime, subcontracting, normal time production, inventory management, backorders, and personnel administration. The results demonstrate that the linear programming strategy with Solver represents the optimal alternative from an economic standpoint. This mixed strategy integrates all productive variables, generating total costs of $43.714,11 Gfor "Chompas" and $30.815,94 for "Camisetas", constituting the most efficient solution to optimize operations and improve business competitiveness