INTEGER LINEAR PROGRAMMING MODEL FOR AGGREGATE PRODUCTION PLANNING, APPLICATION OF LEARNING CURVES, AND HYPOTHESIS TESTING

Abstract

ABSTRACT: Efficient production management and business administration are essential to maintain competitiveness in a business environment in constant change and complexity; the optimization of production systems becomes imperative to minimize costs and maximize operational efficiency. In this context, the implementation of advanced integer linear programming techniques emerges as a solution for aggregate production planning, based on the establishment of a uniform flow of processes to contribute to improving the efficiency of the system and reducing associated cost overruns. This article presents the analysis of the use of integer linear programming for aggregate production planning, applied to the production process of concrete blocks and concrete for structural masonry in the company Blocks del Sinú SAS in the department of Córdoba - Colombia. An optimization model is proposed that satisfies the forecasted demand through adjustments to the levels of production, labor, inventories, contracting and raw materials. The results show that with the standardization of the production process and work methods to minimize the costs of the production plan and meet the demand requirements in accordance with the company's capacity, demand will strictly occur within the planning horizon. , which implies that there will be no shortage of raw materials. Keywords: Aggregate planning, integer linear programming, production.