Optimization of aggregate mixture to paver production using linear programming

• Published in: Dyna (Medellín, Colombia) Vol. 84; no. 202; pp. 42 - 48
• Main Authors: Saboya, Ricardo, Everton Tozzo, Syntia Lemos Cotrim, Edwin Vladimir Cardoza Galdamez, Gislaine Camila Lapasini Leal
• Format: Journal Article
• Language: English; Portuguese
• Published: Bogota Universidad Nacional de Colombia 2017
• Subjects: aggregate mixture; bloques de adoquines; Concrete; Concrete blocks; ENGINEERING, MULTIDISCIPLINARY; Inspection; Laboratory tests; Linear programming; Manufacturing; mezcla e agregados; Optimización; Optimization; paver blocks; Physical characteristics; Physical properties; Production costs; programación lineal; Quality control; Raw materials; Viability; aggregate mixture; mezcla e agregados; bloques de adoquines; optimization; Optimización; programación lineal; linear programming; paver blocks
• ISSN: 0012-7353; 2346-2183
• DOI: 10.15446/dyna.v84n202.60813

This paper presents the optimization of aggregate mixture in the production of paver blocks through the formulation of a linear programming model. The proposed model aims at reducing manufacturing costs, respecting the compliance with the minimum quality requirements and mechanical/physical characteristics required by the technical standards. The results obtained with the model were used to produce a batch of products, which underwent a process of visual inspection of the quality and laboratory tests. The results showed the viability of using a linear programming to define the required quantities of raw materials to the manufacturing process of Concrete Paver Blocks, which generates economic benefits for the industry and allows the product quality control as well.